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Customer Profitability Analysis (CPA) with Time-Driven Activity-Based Costing (TDABC) A Case Study in an Icelandic Travel Agency Eva-Charlotte Haensel Final assignment for a BS-degree in Business Administration Instructor: Bjarni Frímann Karlsson Supervisor: Bolli Héðinsson Faculty of Business Administration School of Social Sciences, University of Iceland January 2017

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Page 1: Customer Profitability Analysis (CPA) with Time-Driven … by TDA… ·  · 2017-08-122 Customer profitability analysis with time-driven activity-based costing. This thesis is a

Customer Profitability Analysis (CPA) with Time-Driven Activity-Based Costing (TDABC)

A Case Study in an Icelandic Travel Agency

Eva-Charlotte Haensel

Final assignment for a BS-degree in Business Administration

Instructor: Bjarni Frímann Karlsson

Supervisor: Bolli Héðinsson

Faculty of Business Administration

School of Social Sciences, University of Iceland

January 2017

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Customer profitability analysis with time-driven activity-based

costing.

This thesis is a 12 credit final assignment for a BS-degree from the

Faculty of Business Administration, School of Social Sciences of the

University of Iceland

© 2017, Eva-Charlotte Haensel

The thesis may not be reproduced without the author’s permission.

Printing: Háskólaprent

Reykjavik, 2017

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Preamble

This thesis is a 12 credit points final assignment for a BS-degree from the Faculty of

Business Administration, School of Social Sciences of the University of Iceland. Instructor

of this assignment is Bjarni Frímann Karlsson, Bolli Héðinsson supervised it. We want to

thank Bolli Héðinsson for his constructive and well targeted critics and his time and effort.

Moreover, we thank the travel agency in which we conducted our case study. All

employees of the travel agency supported us during our research. This assignment would

not have been possible without their patience and willingness to answer questions and

show documentation. The owners of the travel agency facilitated this research with their

openness and kindness.

Last but not least, the author’s mother, Alix Haensel and the author’s spouse Andrés

Andreasen, deserve thanks, as they reviewed the style and understandability of this

essay.

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Abstract

As competition in the Icelandic tourism industry increases and resources run out,

customer profitability analysis, in the following called CPA, becomes increasingly

important. This assignment shows how time-driven activity-based costing, in the

following called TDABC, is a feasible and beneficial for CPA in Icelandic travel agencies.

The 2004 by Kaplan and Anderson developed TDABC is an accounting approach which

assigns overhead cost to specific products or customers on the basis of their effective

resource consumption. TDABC facilitates the inclusion of overhead and indirect cost into

CPA.

We developed and implemented a TDABC system in a case study in an Icelandic travel

agency. Our seven-step TDABC system structures customers into groups and costs into

resource pools. It links overhead costs to specific customers by measuring how much

resource time all activities performed for them consume. As a result, it calculates

customer profitability on the basis of direct and indirect costs.

The results of this case study show how Icelandic travel agencies can analyze costs and

compare the profitability of different customers and customer groups. Moreover, it can

be shown that indirect costs need to be considered when analyzing customer

profitability. The profitability calculated in the case study by TDABC is disproportional to

customer profitability that is only based on markup on direct costs. The travel agency of

the case and other Icelandic travel agencies can use CPA by TDABC for better profit

management and process improvements.

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Table of contents

1 Introduction ......................................................................................................... 9

2 Cost accounting theory ...................................................................................... 11

3 Research design ................................................................................................. 14

3.1 Research strategy ....................................................................................... 14

3.2 Research approach ..................................................................................... 15

3.2.1 The interviews ..................................................................................... 15

3.2.2 The data .............................................................................................. 16

3.3 Research implementation .......................................................................... 16

3.3.1 Design of the TDABC system ............................................................... 16

3.3.2 Sampling .............................................................................................. 17

4 The travel agency of the case study .................................................................. 19

4.1 The travel agency ....................................................................................... 19

4.1.1 The brand ............................................................................................ 19

4.1.2 The staff .............................................................................................. 19

4.1.3 Business facts ...................................................................................... 19

4.2 The micro-environment of the travel agency ............................................ 20

4.2.1 Customers ........................................................................................... 20

4.2.2 Suppliers .............................................................................................. 21

4.2.3 Competitors ........................................................................................ 21

4.3 The macro-environment of the travel agency ........................................... 22

4.3.1 Economic environment ....................................................................... 22

4.3.2 Social environment ............................................................................. 22

4.3.3 Future of the tourism in Iceland ......................................................... 23

4.4 The current profit management of the travel agency ............................... 24

4.4.1 Pricing .................................................................................................. 24

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4.4.2 Markup on direct costs of 2015 .......................................................... 25

4.4.3 Current role of overhead costs for profit management ..................... 25

5 CPA in the travel agency by TDABC with a seven-step system ......................... 27

5.1 Step 1: Define customer groups ................................................................. 27

5.1.1 Sampling .............................................................................................. 29

5.2 Step 2: Calculating direct costs .................................................................. 31

5.2.1 Customer group 1 and 2 ..................................................................... 31

5.2.2 Customer group 3 and 4 ..................................................................... 32

5.3 Step 3: Identify activities necessary to sell to a customer ......................... 33

5.3.1 Marketing ............................................................................................ 33

5.3.2 Booking with consulting ...................................................................... 34

5.3.3 Administration .................................................................................... 34

5.4 Step 4: Group costs into resource pools and business sustaining costs .... 35

5.4.1 Resource pool no. 1: Travel agents’ capacity ..................................... 36

5.4.2 Resource pool no. 2: General marketing capacity .............................. 39

5.4.3 Resource pool no. 3: Additional marketing capacity .......................... 41

5.4.4 Business sustaining costs .................................................................... 43

5.5 Step 5: Establish source consumption rates .............................................. 45

5.5.1 Resource no. 1: Travel agents’ capacity .............................................. 45

5.5.1.1 Time-driver no. 1: E-mails of the employees of resource no. 1 ...... 46

5.5.1.2 Time-driver no. 2: Booking lines in sales software ......................... 47

5.5.1.3 Time-driver no. 3: Items in group trips ........................................... 49

5.5.1.4 Unmeasured resource activity ........................................................ 50

5.5.2 Resource no. 2: General marketing capacity ...................................... 51

5.5.3 Resource no. 3: Additional marketing capacity .................................. 53

5.6 Step 6: Calculating costs according to effective use of capacity................ 53

5.6.1 Cost per minute of effective capacity of resource no. 1 .................... 53

5.6.2 Travel agents’ capacity cost for a customer unit ................................ 55

5.6.3 Marketing cost for a customer unit .................................................... 57

5.6.4 Total costs of the customer groups of our sample ............................. 58

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5.7 Step 7: Calculating profitability .................................................................. 58

6 Discussion of the results and benefits of the TDABC system ............................ 62

6.1 Comparison of profitability of customer groups ........................................ 62

6.2 Pricing according to TDABC ........................................................................ 62

6.3 Managing the profitability of specific customers ...................................... 64

6.4 General use of TDABC information ............................................................ 64

7 Conclusion ......................................................................................................... 66

References ............................................................................................................... 69

Appendix .................................................................................................................. 71

List of figures

Figure 1. Booking lines in the sales software. ..................... Error! Bookmark not defined.

List of tables

Table 1. Customer groups. ................................................................................................ 29

Table 2.Customer sample. ................................................................................................ 31

Table 3. Direct cost of group travelers. ............................................................................ 32

Table 4. Direct cost of individual travelers. ...................................................................... 33

Table 5. Worktime and salaries of resource no. 1. ........................................................... 37

Table 6. Resource pool no. 1. ........................................................................................... 39

Table 7. Resource pool no. 2. ........................................................................................... 40

Table 8. Worktime and salary of resource no. 2. ............................................................. 40

Table 9. Resource pool no. 3. ........................................................................................... 42

Table 10. Worktime and salaries of resource no. 3. ......................................................... 43

Table 11. Overhead costs allocated into resource pools. ................................................ 45

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Table 12. Resource consumption rates. ........................................................................... 50

Table 13. Consumption of resource no. 2. ....................................................................... 52

Table 14. Effective workhours of resource no.1. ............................................................. 54

Table 15. Cost per minute of resource no. 1. ................................................................... 55

Table 16. Calculation of customer’s consumption of resource no. 1 ............................... 56

Table 17. Marketing cost per customer unit. ................................................................... 57

Table 18. Average cost of the customer groups. .............................................................. 58

Table 19. Profitability of the customers of the sample. ................................................... 60

Table 20. Average profitability of customer groups. ........................................................ 61

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1 Introduction

The tourism industry in Iceland is booming. The number of travelers coming to Iceland is

steadily growing, with no end in sight. On the downside are concerns rising that Iceland’s

capacity to receive travelers gets exhausted (KPMG, 2016). If Iceland should have to limit

the number of tourists coming into the country, it seems sensible to focus on the most

profitable travelers. But how do we define profitability of tourists? One way could be to

analyze how profitable different customer groups are for travel agencies who organize

trips to Iceland.

From our own experience as an accountant in a travel agency we know that different

customers can vary a lot in their need of service. The cost associated with servicing

travelers is often not proportional to their volume of purchase. Therefore, we consider it

necessary to include service costs when analyzing how profitable different customer

groups are. Traditional accounting can only analyze the cost associated directly with

customers. Traditionally are all general service costs of a travel agency summarized as

overhead costs and cannot be related to specific customers. Innovative cost accounting

approaches, like the activity-based costing (ABC), analyze overhead costs better.

Therefore, they can be more suitable for a customer profitability analysis (Cooper and

Kaplan, 1991).

However, we could not find any travel agency in Iceland, that currently analyzes

customer profit with an innovative accounting approach. One reason that the activity-

based costing (ABC) is not used, could be that ABC was developed for manufacturing

companies. Its application can be cumbersome for service companies. A modified version

of ABC, called time-driven activity-based costing (TDABC), is though more suitable for

service companies (Kaplan and Anderson, 2004). TDABC could be a good approach for

Icelandic travel agencies to monitor the profitability of their customers.

It seems interesting to analyze how a TDABC system can work in an Icelandic travel

agency and if this approach is suitable to monitor the profitability of customers of

Icelandic travel agencies. How can a TDABC system provide valuable information for

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Icelandic travel agencies and why is monitoring of the markup on direct costs insufficient

for their customer profitability analysis?

In this thesis we analyze how time-driven activity-based costing can work in Icelandic

travel agencies and if its improves customer-profitability analysis in a significant way. In

order to be able to analyze the feasibility of a TDABC system for customer profit analysis

(CPA) in Icelandic travel agencies, we conduct a case study in a travel agency. We set up

a TDABC system and analyze the profit of four different customer groups.

This essay gives a short overview about the theoretic background of accounting by

TDABC and presents our research design. In order to point out the need for CPA by TDABC

in the Icelandic travel agency industry, the travel agency of the case, its environment and

its current profitability management are introduced. This background information

provides the reader with the necessary insight to appreciate the result of our research.

The result of our research is a detailed illustration how our TDABC system functions in

the travel agency of the case. Moreover, the benefits of the TDABC system for the travel

agency are discussed. We finally evaluate the practicability and usefulness of TDABC for

CPA in Icelandic travel agencies on the base of our experience in the case study.

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2 Cost accounting theory

Juran (1988) suggests a rule which he names after the Italian economist Pareto principle:

Only 20% of all customers of a company create 80% of its profit. To identify these

profitable 20% of customers an elaborated customer profitability analysis (CPA) is

needed. According to Cokins CPA is indispensable for all modern companies as all value

created for the shareholders comes from a company’s customers. Therefore, any

company needs to focus on those customers which generate the biggest profit margin.

Traditional gross profit margin reporting fails though to picture service and other

customer related expenses. A multilevel cost assignment is needed to truly analyze

customer profitability (Cokins, 2015).

In the mid-eighties Cooper and Kaplan invented the activity-based costing (ABC), an

accounting approach which allocates overhead costs occurred by service activities

according to the actual consumption of a customer. This system gives a much better

picture of customer profitability than traditional cost accounting, as it doesn’t allocate

overhead costs arbitrary on products and customers (Cooper and Kaplan, 1988). All

activities, which are needed to produce a product or service a customer, are recorded. In

addition, it is determined how much an organization spends on each of these activities.

Activity cost pools are formed which contain also indirect and support costs. In this way

are overhead costs analyzed and divided into specific categories. Activity cost pools are

then divided among specific products or customers. This is done by allocating costs based

on each customer’s or product’s use of cost drivers (Kaplan and Cooper, 1998).

Traditional accounting records product-related expenses, and estimates customer

profitability on the basis of them. Activity-based costing focuses on more than the profit

margin of resale or direct production expenses by analyzing customer sustaining

activities. ABC reveals the link between these activities and their demand on companies’

resources. Managers get a clearer picture how customers and products generate

revenues and consume resources. Therefore, they are able to adjust prices in relation to

costs, influence customers´ behavior to reduce costs and focus their attention on the

most profitable customers (Cooper and Kaplan, 1991).

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Peter Drucker (1995) estimates that the activity-based costing approach lowers

manufacturing costs by up to 30%. This is due to the fact that ABC does not only reveal

the exact cost of each product and customer, but also analyses how costs are generated.

One single ABC system performs value analysis, process analysis and quality

management. Drucker believes that service companies can profit from such an analysis

even more than manufacturing companies. In order to benefit, managers need to use the

information generated by ABC to adjust capacity and processes.

Practical applications of activity-based costing show how important this approach is

for service companies. A Polish service company realized that 20% of its customers were

most profitable. The company’s revenue could increase about 55% by only servicing

them. At the same time 20% of the company´s customers created a loss of 31,5% (Kuchta

and Troska, 2007). An ABC analysis of the customers of an American employment service

company revealed that 70% of its customers were generating losses and identified the

exact overhead costs which were responsible for this (Searchy, 2004).

Although activity-based costing allows a better control of overhead costs and leads to

better management decisions, it has disadvantages which impediment many companies

from using it. It can be cumbersome and expensive to generate all data needed for ABC.

Often it is difficult to assign all costs to activity pools and a company might engage in a

large number of activities, which cannot all be correctly assigned to specific products or

customers (Weygandt, Kimmel and Kieso, 2012).

To deal with these problems, in the beginning of this century Kaplan and Anderson

developed a less complex approach called time-driven activity-based costing (TDABC).

TDABC is suitable for service companies who perform multiple activities, as the only data

required to allocate service costs are the cost per minute of supplying capacity and the

amount of time a product or customer consumes. Overhead costs are allocated according

to the estimated use of minutes of resources of each customer. The cost per minute is

estimated with regard to the practical capacity of all resources, that are needed to service

a customer. It is no longer needed to first measure the cost of all activities one resource

can provide, and then calculate the costs of these activities and the consumption of one

customer or product of these activities. Managers directly estimate the resource

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consumption of a customer by measuring how many minutes of resources the customer

requires (Kaplan and Anderson, 2004).

The time-driven activity-based costing (TDABC) generates as accurate profitability

information as the traditional ABC approach and allows managers therefore to improve

processes and customer profitability. In comparison to ABC is a TBABC system cheaper to

build and less complex to sustain and update. Moreover, it is easier adaptable to changing

conditions as it takes into consideration that different customer can use different

amounts of time for the same activity. Another advantage is that time-driven activity-

based costing deals with practical capacity and doesn’t overprize products by assuming

that 100% of all capacity is used productively. The practical capacity of a resource is the

resource time available after deducting time used for pauses and social activities. TDABC

allows also to analyze if the practical capacity of a company is fully used, an information

that is important for service companies with unstable demand. If the service of all

customers requires less than the company´s practical capacity, it can be concluded that

the company’s capacity is too big or employed in other ways than servicing profit

generating customers (Kaplan and Anderson, 2007).

Dalci, I., Tanis, V. and Kosan, L. (2010) showed in a case study in a Turkish hotel that

time-driven activity based costing suits well for the tourism industry. Servicing different

customer groups required in the case study many activities and sub-activities and

involved all kinds of costs. The cost of servicing each customer group could be well

measured by observing how many minutes of resource times were consumed by different

customer groups. The TDABC system proved itself to be easily adjustable to different

service levels and changing conditions. The case study also showed that practical capacity

was not optimally used and managerial decisions were needed to improve productivity.

Dalci, I., Tanis, V. and Kosan, L. mention though that further case studies need to be done

to establish if time-driven ABC is always the best approach to evaluate customer

profitability in the tourism industry.

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3 Research design

3.1 Research strategy

A case study seemed the most appropriated research strategy. Case studies should be

chosen to answer how- and why-questions about a contemporary research object which

cannot be manipulated by the researcher. They can deal with many variables of interest

and multiple sources of qualitative and quantitative evidence and describe interventions

in the real-life context they occur (Yin, 1994).

The implementation of time-driven activity-based costing to monitor customer

profitability in a travel agency needs to be observed in the context of a travel agency. It

cannot be reproduced in an experiment, as we need real life evidence like accounting

data and observation of customers’ behavior. With this case study we want to answer the

question why and in which way time-driven activity-based costing, in the following called

TDABC, is the appropriated tool for customer profitability analysis in Icelandic travel

agencies.

Case studies have been criticized to deliver little basis for scientific generalization. A

single-case study can though be used as exploratory device and be followed by multiple-

case studies to confirm its findings (Yin, 1994). In this sense our case study is a first step

to analyze the impact of TDABC for the Icelandic tourism industry.

Yin (1994) further recommends that critical cases should be chosen for single-case

studies, which allow to test well formulated theory. We consider the travel agency chosen

for this case study an appropriated real-life example of Icelandic travel agencies to test

the well formulated TDABC approach. The travel agency chosen can be regarded as

critical case as its product mix and structure is similar to other companies on the Icelandic

travel agency market. Its size is under average but this makes it possible to demonstrate

basic TDABC procedures without unnecessary complication.

Our case study suits as a pilot study for the realization of TDABC in Icelandic travel

agencies. Following case studies could build on the approach described in this study when

analyzing multiple cases.

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3.2 Research approach

Having received a presentation by e-mail, the owners and managers of the travel agency

agreed to meet us. We explained them the idea of our research, its scope and its

implications for the company. We also discussed possible benefits for the company, like

a better knowledge of how resources are used and which consumers are most profitable.

The owners and managers were very positive in regard to university research projects.

They requested however that the results of the study and the name of their company

should not be published. In the highly competitive tourism industry accounting

information need to be protected (owner of the travel agency, personal communication,

16th of September 2016). After signing the in the appendix shown confidentiality-

agreement we were allowed to conduct a case study in the travel agency over a period

of three months. During this period, we analyzed accounting documentations, e-mails

and booking entries of the year 2015. In addition, semi-structured interviews were

conducted to learn more about the company and the process of servicing customers.

3.2.1 The interviews

Semi-structured interviews use pre-formulated questions with can be answered to

different extent and length. The goal of the interview is to learn about individual opinions

and the knowledge of interviewees on a specific aspect (Flick 2011). The purpose of the

interviews we conducted was to understand the nature of the business and the

customers. We also needed to evaluate how long different service procedures take and

how costs are generated. We conducted expert interviews with the managing director of

the travel agency and with four employees responsible for marketing, accounting and

booking. In addition, we follow the interviews up with further questions by e-mail, to add

to and clarify the information gained during the interviews.

Semi-structured expert interviews need to ask focused questions to retrieve the

experts’ expertise in a specific area (Flick 2011). We asked about 100 focused questions,

examples are:

Which work activities do you need to perform to service a customer?

How long does it take to write an e-mail in average?

What kind of expenses do you book under insurance costs?

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According to your estimation, which percentage of its worktime spends your staff productively working?

3.2.2 The data

The travel agency, where we conducted our case study, provided us with their financial

report of 2015 and other accounting documents. Moreover, we got access to all e-mail

and message programs and the booking software.

The data on which we base our TDABC system and profitability analysis needs to cover

a whole accounting year. This is due to the seasonal fluctuations the tourism industry in

Iceland is subjected to. The year 2015 is the only complete year available in which the

actual booking software has been used. Therefore, it seems sensible to base our analysis

on the data of 2015.

3.3 Research implementation

3.3.1 Design of the TDABC system

In the case study we implemented a time-driven activity-based costing. The seven steps

of this system are based on the approach Kaplan and Cooper recommended in 1998. We

modify the classic activity-based costing steps though according to the theory of time-

driven activity based costing. The results of our case study describe in detail how TDABC

works in praxis. The theoretic design of our TDABC system is the following.

In a first step are those groups of customers defined, whose profitability shall be

compared. Secondly, we calculate the direct costs of customers of all groups. In a third

step all activities necessary to sell to a customer are listed.

In traditional ABC the next step is to form activity cost pools for each activity by

identifying which indirect costs are associated which each activity of step three (Kaplan

and Cooper, 1998). According to Kaplan and Anderson (2004) does TDABC not require

such a detailed analysis of indirect cost. In our fourth step we group indirect costs into

resource pools. Several activities may make demand on the same resource pool. Indirect

costs which are regarded business-sustaining are according to Cooper and Kaplan (1998)

not divided as they support the organization as a whole.

A classic ABC approach requires in a next step to find activity cost drivers that link

activity cost pools to activities. The cost of each activity performed for a customer can be

calculated according to the costumer´s consumption of cost drivers. TDABC uses a similar

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but simpler approach. It doesn’t need to allocate each activity cost pool separately but

directly estimates how many minutes a customer consumes of each resource. To do so it

sets up time rates for different customer related activities each resource can perform. A

customer’s use of resource time is calculated by multiplying the times he used a resource

activity by the time rate of that activity. The total cost of many activities a resource can

perform for one customer can be calculated by the percentage of total resource-time a

customer consumes (Kaplan and Anderson, 2007).

In the fifth step of our system we define resource consumption rates for the customer

related activities of our resources. We find time-driver related to various source activities

and calculate the time rate for various resource activities by estimating the resource time

these time-drivers consume. For resources which capacity is not measured in time, we

define what proportion of resource capacity specific customer groups consume.

The sixth step is to calculate the cost of specific customers by allocating direct costs

and indirect resource costs in accordance to their consumption. In order to measure a

customer’s consumption of resource time we calculate how many times time-drivers are

used. In order to calculate the cost of resource time, we divide the total cost of each

resource through the resource’s practical capacity measured in minutes. The customers’

consumption of resource time is then multiplied with the cost per minute of the resources

consumed to determine the indirect cost of a specific customer. Indirect costs of

resources which capacity cannot be measured in time is calculated by the percentage of

resource capacity a customer uses. Kaplan and Anderson (2004) mention that time is the

most frequent cost allocation basis in TDABC, but other allocation bases can be used if

more practical. In a final step the profitability of specific customers is calculated by

deducting their cost from their revenue.

3.3.2 Sampling

Having established a system to measure customer profitability with TDABC we took a

stratified random sample of all customers to obtain random samples of each customer

group. A stratified random sample divides a population in subpopulations. From each

subpopulation are drawn simple random samples by drawing independently in a random

process from a population (Flick, 2011). We computed the profit of our sample customers

according to the TDABC system.

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The result of this study is a detailed illustration how a TDABC system works in the travel

agency of the case study. The implementation of our TDABC system allowed us to

evaluate the benefits and practicability of TDABC in regard to analyzing customer

profitability.

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4 The travel agency of the case study

4.1 The travel agency

4.1.1 The brand

The travel-agency of the case study has been operating 35 years which is a long time in

the Icelandic tourism industry. They sell tailor made tours around Iceland for tourists

traveling in rented cars. The company’s booklet and homepage show tours and activities

in Iceland, which are used as a base to compose travel packages according to individual

wishes. Moreover, the travel agency sells predefined guided round-trips. A guided tour is

sold to about 20 customers which travel together without knowing each other before

hand (E. Sigmundsdóttir, personal communication, 16th of September, 2016).

The company commits itself to environmental and social sustainability. A special

emphasize of their products is closeness to nature and high quality. Travel groups are

kept small and personal. Tourist guides are well educated and with long experience. Most

of them are Icelandic locals who speak fluent German. The travel agents purposely

employ a lot of time to personally consult customers and answer all their questions, so

that they can design holidays according to their customers’ needs. This policy results in a

very high satisfaction of customers and positive reviews (Travel agency, n.d. a).

4.1.2 The staff

In the office of the travel agency nine people work. In addition to this the company

employs tour guides when needed. The hierarchy of the office staff is flat and

diversification is low. Five employees are booking agents and customer consulters. One

of these five is in addition to booking also responsible for the company’s marketing and

website. The accounting is done by one full-time and one part-time accountant. The

owners of the travel agency work as managing director and office manager (Travel

agency, n.d. b).

4.1.3 Business facts

According to the company´s annual report the company had a turnover of ca.

500.000.000 ISK in 2014 and ca. 470.000.000 ISK in 2015 (Travel agency, 2016 a). 37% of

the turnover was generated by group travelers. The company sold 26 group trips which

consisted in total of 468 travelers. In addition, 368 individual tour packages were sold

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(E.Ö. Sigurjónsson, personal communication, 22nd of September 2016). The number of

travelers in one tour package varies between 1 and 6, an estimate average is 2,5 (A.

Steinbrenner, personal communication, 10th of September 2016).

While the company made an after tax profit of ca. 10,5 million ISK in 2014, it made a

loss of ca. 6,6 million ISK in 2015. Its debt to total assets ratio went from 63% in 2014 up

to 83% in 2015 (Travel agency, 2015 a). Solvency ratios, like the debt to total assets ratio

measure a company’s ability to survive over a longer period. In general, a low debt to

total assets ratio indicates that a company is able to repay its debts. Some companies

purposely operate on high leverage. However, a suddenly augmenting debt ratio can

indicate financial distress (Weygandt, Kimmel and Kieso, 2012).

The negative bottom line of 2015 and the augmenting debt to total assets ratio

indicate a need to review the company’s financial position. A customer profitability

analysis might be a good tool to improve the company’s profitability.

4.2 The micro-environment of the travel agency

4.2.1 Customers

The travel agency we examined services almost exclusively German speaking customers.

They come mainly from Germany, Austria and Switzerland (owner of the travel agency,

personal communication, 12th of September 2016).

In winter 2013/2014 4,4% of all tourists in Iceland were German citizen and 1,4% came

from Switzerland (Icelandic Tourist Board, 2014a). In summer 2014 7,7% of all tourists in

Iceland came from Germany and 1,8% from Switzerland (Icelandic Tourist Board, 2014b).

German speaking tourists are therefore the second biggest group of tourists in Iceland,

the majority of tourists being English speaking.

In respect to other nations German tourists are more likely to visit other regions than

the greater Reykjavik area. They are generally satisfied with their experience in Iceland

and many of them plan to come back to Iceland or have been to Iceland before. In this

sense, Germans are desirable clients for a travel agency that organizes trips around

Iceland.

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The vast majority of Germans organize their trip without professional help. In 2014

only 13,2% of all German tourists booked travel packages. Those German tourists who

use the services of a travel agency care less than other nations whether their travel

agency has a quality certificate or not (Icelandic Tourist Board, 2014b).

German tourists seem to have enough disposable income to travel. The majority of

German tourist, that were interviewed in summer 2014, described themselves as having

a high or average income. Nevertheless, the price of their travel-packages was slightly

under the average of other nations, or about 306.000 ISK in summer 2014. Overall

German travelers spent less in Iceland than other nations (Icelandic Tourist Board,

2014b).

Considering their low spending and tendency to avoid travel agencies German tourists

could be described as particularly price sensitive. Competitive pricing might enable a

travel agency to reach German tourists who currently don’t buy travel packages.

4.2.2 Suppliers

The travel agency carefully chooses its suppliers to ensure high quality of its travel

packages. The managing staff regularly personally checks accommodations and other

elements of a travel package. Moreover, the travel agency constantly asks its costumers

for feedback, and adjusts travel packages according to previous customers’ satisfaction.

The supply of items of travel packages is not always enough. The travel agency tries to

establish long-term supplier relationships, to ensure sufficient supply of accommodations

and activities. A number of hotels reserve each year a fixed capacity which the travel

agency can use according to its needs. Other hotels enjoy such a huge demand, that they

are not interested in any special contact with the travel agency (E. Sigmundsdóttir,

personal communication, 18th of October 2016).

4.2.3 Competitors

According to the national phonebook 92 travel agencies operate in Iceland, most of them

sell to international tourists (Ferðaskrifstofa, n.d.). In addition, any online research shows

a multitude of foreign travel agencies offering package-tours to Iceland. The competition

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on the market can be characterized as being very stiff, which makes an effective

profitability management very necessary.

According to E. Sigmundsdóttir (personal communication, 16th of September 2016) the

company produces often travel propositions, which require a lot of work time but don’t

result in sales. The customers who requested these propositions might either buy from

other travel agencies or use the propositions as basis to book themselves their Iceland-

holiday. So far, there has been no analysis of the resources spent on these non-profit

generating travel proposition. A better understanding of such costs of competition could

increase the travel agency’s profit.

4.3 The macro-environment of the travel agency

4.3.1 Economic environment

The tourism industry in Iceland has been growing rapidly during the last years and is

currently very prosperous. In 2015 its share of foreign exchange earnings was 31%, this

means that tourism was the biggest export good of Iceland. Five years ago tourism was

only 18,8% of Iceland’s export, the tourist industry used to be much smaller than the

fishing and aluminum industry (Icelandic Tourist Board, 2016).

The revenue from foreign tourists has grown in accordance with the growth of the

tourism sector. Between 2014 and 2015 the revenue generated from tourists increased

at each year’s price level at about 31%. The number of jobs in tourism-related industries

has increased as well. In 2014 about 37% more people worked in the tourism industry

than in 2010. Since 2010, 789 new travel agency and tour operator licenses have been

issued (Icelandic Tourist Board, 2016).

These data indicate that travel agencies encounter currently great profit possibilities.

At the same time, competition increases in the sector. Travel agencies need a solid

strategy and an effective profit management to profit from the current boom in tourism.

4.3.2 Social environment

The numbers of international visitors in Iceland have more than doubled since 2010. In

2010, 488.600 foreign tourists came to the country, in 2015 it was 1.289.140. These

numbers are though unequally divided between seasons. In 2015, 49,2% of all tourists

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arrived in summer, 29,3% in winter, 17,6 % in autumn and 12,9% in spring. Tourists from

South- and Central-Europe are even more subjected to seasonal cycles, as 55,8% of them

arrive in summer. Tourists from the UK seem to be less affected by seasonality, 54,9% of

them came during winter to Iceland (Icelandic Tourist Board, 2016).

Occupancy rates of over-night accommodations fluctuate in accordance to the

seasonality of tourism. In the regions outside the Capital Region occupancy rates are in

summer up to 90%, in winter are they only around 20%. In the Capital Region occupancy

rates fluctuate between 66 % in December and 90% in July (Icelandic Tourist Board, 2016).

Travel agencies are less affected by seasonality than hotels, in the sense that tourists

traveling in summer don’t necessary book in summer. Often the main work of a travel

agency is done long time before the date of departure of a trip. Therefore, in contrary to

the rest of the Icelandic tourist industry, a travel agency´s busiest time is not necessary in

summer (A. Steinbrenner, personal communication, 3rd of October 2016).

Seasonality can affect the time it takes to assembly a travel-package. During periods

with high occupancy rates it can be much more difficult to find accommodations for the

customers. Therefore, it is often more time-consuming to book for tourists that travel in

summer (A. Steinbrenner, personal communication, 3rd of October 2016).

4.3.3 Future of the tourism in Iceland

Iceland’s future in tourism is according to KPMG (2016) influenced by two factors: its

competitiveness with respect to other locations and its ability to welcome growing

numbers of tourists. Depending on how well Iceland scores on these two dimensions four

scenarios are possible for the tourism industry of 2030. Iceland’s future tourism industry

could be prospering and well organized, or it could be unable to cope with a too big

demand. It is also possible that the tourism industry of 2030 will be well organized but

with too much supply, or it might not only face low demand but also be broken down.

Risk factors which might lead to a negative future development are e.g. a negative

attitude of the locals towards tourism, bad quality of touristic services, excessive strain

at tourist locations and lack of qualified workers in the industry. A recession in the home-

economies of tourists visiting Iceland could as well have negative effects on Iceland’s

tourism industry (KPMG, 2016).

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In case the actual favorable economic and social environment for tourism in Iceland

should worsen in future, travel agencies would struggle to survive. Profit analyze and

profit management would become even more important than it is now.

4.4 The current profit management of the travel agency

4.4.1 Pricing

The travel agency of our case is currently not analyzing its customer profitability. All

customers are subject to the same pricing policy, which aims at a markup of 28% on costs.

This figure has been historically proven to cover all indirect costs and generate profits for

the travel agency. In praxis there are two different ways to price individual and group

travel packages (E.Ö. Sigurjónsson, personal communication, 22nd of September 2016).

When pricing group tours the direct cost of a tour is known exactly as all elements of

the package are booked in advance. The total direct cost of a specific tour is multiplied by

1,28 and then divided by 20 which is the average number of passengers in a travel group.

By this calculation is obtained a fixed sales price of a standard space in a specific travel

group. A supplement to the standard price is charged, if clients want to sleep in a single

room, as the standard price is calculated on the basis of double rooms. If the company

sells more than 20 spaces in one specific travel group, the effective markup on costs of

this travel group will be more than 28%. If the company sells less than 20 spaces, profit

will be lower than assumed. There are no strategies applied to stimulate demand or

manage profit by alternative pricing in case that 20 spaces cannot be sold (E.Ö.

Sigurjónsson, personal communication, 22nd of September 2016).

The pricing of individual tours cannot be standardized as every travel packages differs

according to the clients’ wishes. Travel agents compose individual travel offers and use

an average price of hotel accommodations and other travel elements to forecast the

direct cost of the individual package. The direct cost is then multiplied by 1,28 to obtain

a price offer for a potential individual customer. Once a travel package proposal is

accepted by a customer all elements of the package are booked. As actual hotel and

airfare prices may vary from average prices, the effective direct cost of a travel package

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can be different from the cost forecast that was used to price the product (E.Ö.

Sigurjónsson, personal communication, 22nd of September 2016).

4.4.2 Markup on direct costs of 2015

Company intern documents (Travel agency, 2016b) show that despite adding 28% to the

forecasted direct costs of each product, the effective markup on costs for 2015 was only

24%. The effective markup is currently not calculated separately for group tours and

individual tours. According to the company’s accountant, E.Ö. Sigurjónsson (personal

communication, 28th of September 2016), the difference of 4% between planed and

effective markup ca be partly explained by currency rate changes. The exchange rate for

Euro to Icelandic crown was higher when prices were calculated than when hotels and

other travel package elements were paid. As the travel agency´s income is in Euro and its

expenses in ISK, the falling Euro-exchange-rate lowered the profits of the travel agency.

A customer profit analysis could help to understand better the difference between

desired and effective markup on cost, as it would show which customer groups cause

most of this difference.

4.4.3 Current role of overhead costs for profit management

Indirect costs or overhead costs are currently not considered in detail when pricing travel

packages (E.Ö. Sigurjónsson, personal communication, 22nd of September 2016). The

company´s internal bookkeeping defines indirect costs as all costs that is not due to the

purchase of products and services for resale. This cost is grouped into traditional cost

groups, like salary, cost of sales, office and management costs. The percentage of each

cost group of the company’s turnover is calculated monthly. This percentage varies a lot

between months, as travel packages can be sold long time before the cost of their

elements is billed for. Therefore, no connection between the sale to specific customers

and overhead costs can be currently established (Travel agency, 2016b).

The historical annual percentage of overhead costs to gross income, that the

company’s accounting currently provides, can be used to refine the company´s general

aspirated markup on direct costs. A general annual rate of overhead costs might though

not be detailed enough to be a reliable tool for future pricing decisions. It cannot account

for partial changes in the environment or the profit structure of the company. Moreover,

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a general rate of overhead costs cannot explain how overhead costs are generated by

customers or products. Therefore, it cannot be used as basis for individual pricing or

process improving decisions (Kaplan and Cooper, 1998).

With its currently available accounting the company is not able to compare the

effective profitability of different customer groups. The available system could relatively

easily calculate the markup on direct cost separately for individual travelers and group

travelers. There is though no information available about the bottom line of specific

customer groups, as the current profit monitoring approach focus on the markup on

direct costs and omits the role of indirect costs (Travel agency, 2016b). A more detailed

analysis of the relation of overhead costs and customers’ profitability might give a better

basis for profit management.

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5 CPA in the travel agency by TDABC with a seven-step system

A TDABC system can analyze how different customer groups of the travel agency generate

profits. It calculates direct and indirect costs for specific customers (Kaplan and Anderson,

2004). We present here the results of our case study, i.e. the TDABC system we installed

in the travel agency of the case. It calculates in seven steps the profitability of customer

groups according to their actual consumption of resources.

5.1 Step 1: Define customer groups

An analyze of the structure of the travel agency’s customers enables us to form four

customer groups.

Group travelers who book through another travel agency

Group travelers who book directly

Individual travelers who book after February

Individual travelers who book before March

The division between group travelers and individual travelers is important as group and

individual travelers consume resources differently. A group travel package is organized

and then sold to about 20 group travelers. Assembling a group package is more intense

work than assembling an individual package, as group packages are bigger and

necessitate a tour guide. But once the group package stands it can be sold to about 20

single customers with comparatively little effort. The packages of individual travelers

need to be specially composed for each customer, which requires time and resources (G.I.

Ingólfsdóttir, personal communication, 16th of September 2016).

The sub-division of individual travelers according to when the trip was booked is

important, as we want to analyze, whether customer consume more resources, if their

travel package is assembled shortly before their trip. The vast majority of travelers arrives

in summer, which means that travelers who book after February are on average booking

with shorter notice than travelers who book before March. The experience of our travel

agents shows that it can be very difficult in summer to find accommodations and activities

with short notice. When booking during the high season, travel agents have often to send

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booking requests to many hotels until they find a free room (A. Steinbrenner, 9th of

September 2016).

Group travelers do not need to be divided according to booking times, as group

packages are assembled long time before they are sold. They are though sub-grouped

according to their purchasing behavior, i.e. whether they buy directly or indirectly from

the travel agency.

The travel agency sells group trips both directly to travelers and indirectly through

foreign travel agencies. Foreign travel agencies which resell our travel agency’s products

take commission for their services. Therefore, sales revenue for our travel agency is less

when sold indirectly. This might be offset by the fact that our travel agency needs to

provide less customer service when selling through other agencies.

The managers of our travel agency disagree whether it is feasible to sell through

foreign travel agencies. In its early days our travel agency sold frequently through other

agencies, but reduced indirect sales as the business grew. Only recently they started to

increase again the percentage of indirect sales. Foreign travel agencies used mainly to sell

spaces in travel groups. Since 2016 our travel agency has a contract which a foreign travel

agency to resell their individual tours. The managers have not decided yet, whether this

contract will be prolonged in 2017 (E.J. Sigmundsdóttir, personal communication, 16th of

September 2016).

Unfortunately, we cannot measure yet, the impact of the individual packages sold

through a foreign travel agency in 2016. The seasonal fluctuation of the business and the

currency rate changes between organization and transaction of a travel package require

to analyze costs and work input of a whole year to calculate customer profitability

adequately. The TDABC system that we install is based on data 2015 and only subdivides

group travelers according to whether they booked directly or not. All individual travelers

of the year 2015 booked directly and are therefore not further subdivided. Next year

complete cost data on individual travelers booking through foreign travel agencies will be

available. The customer groups of our TDABC system can then be further refined to

account for changes in the profitability of individual travelers according to whether they

book directly or indirectly.

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The four customer groups illustrated in table 1 do not account for potential customers

that contact the travel agency for informational purposes but do not book any travel

package. The nature of a customer profitability analysis requires to analyze actual

customers, i.e. travelers that actually buy products which generate costs and revenues.

However, will we show in following chapters that TDABC can also be used to evaluate the

cost of servicing travelers that are no actual customers.

Table 1. Customer groups.

Customer groups

Group travelers

Group 1:

Group travelers who book

through another travel

agency

Group 2:

Group travelers who book

directly

Individual travelers

Group 3:

Individuals who book after

February

Group 4:

Individuals who book

before March

5.1.1 Sampling

The data processing system currently available doesn’t allow to analyze all individual

customers of a group, as we have to manually count the number of resource activities

performed for each customer. We can only analyze a sample of each customer group and

compare the average profitability of each customer group sample. The profitability of the

customer sample enables us to draw conclusions on the profitability of the population,

which are all customers of the travel agency (Flick, 2011). We do though not engage in

statistic considerations which would allow us to link the sample to the population in a

scientifically significant way. This would exceed the scope of this essay which is to analyze

the feasibility of customer profitability analysis with a TBABC system.

We divide all customers of the travel agency into group travelers and individual

travelers. By this classification of the whole population into stratified samples we make

sure that both subpopulations are equally represented in our sample (Flick, 2011). Out of

a total of 26 group trips sold in 2015, we draw a simple random sample of two group trips.

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As can be seen in table 2, 15 passenger units of these two sample group trips belong to

customer group 1, i.e. they booked through another travel agency. 10 passenger units

belong to customer group 2, i.e. they booked directly. Out of 368 packages which were

sold to individual travelers, we draw a sample of 20 individual packages. 9 packages of

these sample packages belong to customer group 3, i.e. they were booked in summer, 11

packages belong to customer group 4, i.e. they were booked in winter.

In order to be able to compare group travelers and individual tourist we summon

group travelers into units. Single travelers traveling in the same travel group are often

related. We divide travel groups into units of passengers who booked together. These

units contain between one and four single persons, as can be seen in the column PAX in

table 2.

Units of group traveler are compared to the unit of travelers traveling together in one

individual travel package. Individual packages are most often sold to several individuals

traveling together, i.e. the total number of 368 individual packages sold in 2015

represents more than twice as many travelers. Table 2 shows also for individual travelers,

i.e. customer group 3 and 4, how many persons (PAX) traveled together in one individual

travel package.

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Table 2.Customer sample.

5.2 Step 2: Calculating direct costs

5.2.1 Customer group 1 and 2

The second step of our TDABC system is to list up the direct costs of customers. With

direct cost we intend the cost of items that are resold, like the cost of hotel

No. Name1 PAX No. Name PAX

1 Helene Gazzi 2 1 Ralf Guetler 2

2 Marlis Merz 2 2 Christine Rickenbach 1

3 Hans-Christian Weber 2 3 Christina Dannenberg 2

4 Margrit Schröter 2 4 Jutta Bein 1

5 Sylke Kaija Rudolph 2 5 Helena Baeriswyl 1

6 Torsten Ostermeier 2 6 Sabine Jud 1

7 Maria Glaser 2 7 Dieter Pölloth 2

8 Ines Hildebrandt 1 8 Stefan Wolf 2

9 Bernd Werner Riedel 4 9 Sabine Dinkel 2

10 Wolfgang Stenzel 1 10 Wolfgang Keilbach 2

11 Sara Halbig 2

12 Anna Petersen 2

13 Heidi Haberl 1

14 Dagmar Dehling 2

15 Martin Schuhmacher 2

No. Name PAX No. Name PAX

1 Robert Findeisen 2 1 Rita Wartenberg 4

2 Theo Busch 2 2 Christina Demant 6

3 Helena Kleinert 1 3 Michael Raab 2

4 Inga Clausen 2 4 Irina Lex 1

5 Christine Liebl 2 5 Karin Anton 2

6 Adolf Link 2 6 Johannes Pirringer 4

7 Simon Lösch 2 7 Lothar Lissmann 2

8 Rüdiger Herrmann 2 8 Uwe Huchel 2

9 Heike Cox 2 9 Juerg Bissegger 2

10 Martin Zehentmaier 2

11 Sandra Wild 41 names have been changed for data protection reasons

Customer group 2

Customer sample

Customer group 3 Customer group 4

Customer group 1

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accommodations and airfare tickets. The direct cost of our sample of group travelers can

be seen in table 3.

The travel agency documents the direct cost of each group package in an excel file.

The cost of all items of a group packages - excluding supplements for single rooms - is

divided through the number of travelers in one travel group and then equally allocated

to each member of the group. Supplements for single rooms are allocated directly to

those customers who slept instead of single rooms in double rooms.

Table 3. Direct cost of group travelers.

5.2.2 Customer group 3 and 4

The direct cost of individual travelers can be easily obtained from the sales software the

travel agency uses for booking all individual packages. The software records the direct

cost of all elements of a travel packages in Euro. In order to have comparable values in

ISK throughout the year, we multiply the direct cost in Euro by 145,5. This was the average

Euro-ISK exchange rate of 2015 (Landsbanki, n.d.). Table 4 shows the direct cost in ISK of

individual travelers of our sample.

No. Direct costs in ISK No. Direct costs in ISK

1 710.674 1 710.674

2 710.674 2 355.337

3 710.674 3 710.674

4 710.674 4 355.337

5 710.674 5 355.337

6 710.674 6 355.337

7 710.674 7 438.243

8 355.337 8 438.243

9 876.485 9 438.243

10 219.121 10 438.243

11 438.243

12 438.243

13 219.121

14 438.243

15 438.243

Customer sample

Customer group 1 Customer group 2

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Table 4. Direct cost of individual travelers.

5.3 Step 3: Identify activities necessary to sell to a customer

In order to be able to calculate the cost associated with servicing customers, in the third

step of our TDABC system, we examine the process of servicing a customer. The travel

agency performs a multitude of service activities for each customer. These activities can

be summarized under three main activities:

Marketing

Booking with consulting

Administration

For the TDABC approach it is sufficient to examine how work-intense the main

activities of the service process are. We do not need to produce a list of all sub-activities,

as we do not have to form separate cost pools for each activity and sub-activity. Only a

classical ABC approach would require this in step 4 (Kaplan and Anderson, 2004).

5.3.1 Marketing

The travel agency reaches potential customers through marketing on Facebook and

Google. They run a detailed homepage which provides all information about their

services. In addition to this the travel agency designs and produces a booklet which

No. Direct costs in ISK No. Direct costs in ISK

1 329.994 1 932.946

2 465.891 2 1.034.214

3 197.298 3 558.284

4 593.640 4 632.925

5 245.895 5 488.735

6 375.390 6 857.432

7 435.045 7 710.040

8 236.438 8 423.987

9 371.316 9 357.348

10 532.967

11 714.114

Customer sample

Customer group 3 Customer group 4

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illustrates all their products. Customers who book directly are also approached on sales

expositions in Germany. Moreover, a contractor of the travel agency work in Germany.

He markets the travel agency services directly in Germany and functions as a contact

person for travelers that book directly at the travel agency (A. Steinbrenner, personal

communication, 10th of September 2016).

5.3.2 Booking with consulting

All single services which are resold in a travel package need to be assembled and booked.

Travel agents book group trips through direct contact with the service provider, individual

packages are booked through a booking software.

A lot of communication is needed between the travel agency and the customer to sell

a travel package. Customers have questions and need all kind of consultation, while

preparing their trip to Iceland. In case of tailor made packages all services need to be

approved by the customer during the booking process. Travel agents communicate

mainly through e-mail with the customer. Occasionally they also talk on the phone with

customers, often these conversations lead to further communication by e-mail.

When a travel package is completed and paid, travel agents send travel documents to

the customer. The travel documents contain a description of each day and activity of the

trip. For individual travelers the travel agents prepare a map on which they mark all

locations of the trip. They also send individual travelers vouchers for each single element

of the package.

Once customers are in Iceland, they are provided with a special phone number they

can call if any problems come up. Guides of group tours use this number as well, if they

need any help during a group trip. (A. Steinbrenner, personal communication, 10th of

September 2016).

5.3.3 Administration

The same travel agent who has booked a package sends his customer an invoice for it.

Once the invoice is paid, the accountant registers the payment of the invoice in the

accounting software and sends customers a payment confirmation by e-mail. The

booking software automatically identifies travel packages which have not been paid in

time, the responsible travel agent reminds customers in this case about the due payment

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by e-mail. According to the accountant of the travel agency no other actions are needed

to collect all receivables (S.A.R. Roloff, personal communication, 16th of September

2016).

Each item of a travel package needs to be paid by the travel agency. First the

accountant books incoming invoices of hotels and other service providers. The travel

agent who ordered the service then approves the invoices’ amounts and finally the

accountant settles the invoices. Once all expenses and income of a travel package are

registered the effective markup on cost is calculated by the agent who is responsible for

the package (A. Steinbrenner, personal communication, 10th of September 2016).

5.4 Step 4: Group costs into resource pools and business sustaining costs

If we applied a classic ABC approach to allocate indirect costs to customers, we would

have to divide all indirect costs into cost pools. We would form a cost pool for each

activity and sub-activity that is performed to service customers. In this way we would

establish the cost of each activity, for example the cost of sending out invoices. We could

then allocate a portion of each cost pool to specific customers based on the use of cost

drivers. If we were to send out 2 invoices to customer X and the total number of send out

invoices was 100, customer X would account for 2% of the total cost of sending out

invoices (Kaplan and Cooper, 1998).

In the fourth step of our TDABC system we group costs into resource pools. One

resource may perform more than one activity, as long as it is possible to estimate the

time the resource needs for its various customer related resource activities. In following

steps, we will allocate these resource pools to specific customers based on customers’

use of resource time (Kaplan and Anderson, 2004).

We form 3 resource pools:

Travel agents’ capacity

General marketing capacity

Additional marketing capacity

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5.4.1 Resource pool no. 1: Travel agents’ capacity

Two main activities, namely booking with consulting and administration, and all sub-

activities that fall under these main activities are performed by the same resource, the

capacity of the travel agents. We call the travel agents’ capacity resource no. 1 and form

a resource pool that includes all cost related to booking with consulting and

administration performed during the process of selling to a customer. For facilitation we

call all activities performed by resource no.1 travel agents’ tasks, but we keep in mind

that the activities of this resource include not only traditional travel booking activities but

also administrative activities like the payment of hotel invoices.

In order to be able to set into resource pool no. 1 salaries and other costs related to

the employees working for this resource, we need to establish how much work power is

dedicated to this resource. Therefore, we register in row B of table 5 the employment

percentage of all employees working for this resource, i.e. whether they work full-time

or part-time. As some employees work for more than one resource, we also consider the

percentage of personal worktime each employee dedicates to the travel agent’s work-

tasks (see row C in table 5).

In the travel agency there are three travel agents who dedicate 100 % of their

worktime to the travel agents’ activities, i.e. resource no. 1. One of these three agents

works fulltime, i.e. 100%, two of them work part-time, i.e. 80%. In addition to the three

travel agents one full-time employee dedicates 90 % of his worktime to travel agents’

tasks but uses 10% of his worktime for marketing activities (A. Steinbrenner, personal

communication, 5th of October 2016). A fifth employee works on a full-time contract at

the travel agency, but employs only 65% of his personal worktime for travel agents’ tasks.

35% of his worktime are employed for the internet presence of the travel agency and for

marketing purposes (G. Ingólfsdóttir, personal communication, 3rd of October 2016).

Besides the capacity of the five employees who work fully or partly as travel agents,

we also include the work capacity of one accountant into resource pool no. 1. This

accountant works full-time and employs 100% of his time to perform customer related

administration activities, like the payment of accommodations or the registration of

payments from customers. As resource pool no. 1 includes all costs related to the

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administration performed during the process of servicing a customer, the capacity of this

accountant is part of resource no. 1. In table 5 are listed all six employees of the resource.

All accounting related to general financial management, like the preparation of

financial overviews or general pricing policy is done by another accountant who works

part-time for the travel agency. The capacity of this part-time accountant is not included

in resource pool no.1, as his work cannot be directly related to specific customers (S.A.R.

Roloff, personal communication, 16th of September 2016).

Table 5. Worktime and salaries of resource no. 1.

The accounting of the travel agency provides us with the salaries of all of the

employees. In column C of table 5 we calculate for each employee working for resource

no.1, what percentage of the total company´s salaries he receives. We then multiply each

employee’s fractional salary with the fraction of personal worktime he dedicates to

resource 1. As a result, in column E of table 5 we find out that 53,1 % of all salaries of the

travel agency are dedicated to resource no. 1.

Thus we allocate 53% of all salaries of the financial statement of 2015 to resource pool

no. 1, which can be seen in the first line of table 6. Staff related expenses, like staff’s

cafeteria and education costs are allocated in the same percentage as the salaries.

The TDABC approach allocates costs of all kinds to workforce resource pools on the

basis of how these costs are related to the employees of a specific resource. When

customers consume time of employees of a resource pool, they consume indirectly all

other resources of the same resource pool in the same proportion. That’s due to the fact

A B C D E F

Resource-

employee

no.

Employment

percentage

(full-time or

part-time)

Percentage of

salary of all

salaries of the

travel agency

Percentage of

personal worktime

dedicated to

resource 1

Percentage of

salary dedicated

to resource 1

Percentage of customer

serving employees'

worktime dedicated to

resource 1

=C*D =D*B/SUM(B)

1 100% 11,7% 100% 11,7% 18%

2 80% 5,9% 100% 5,9% 14%

3 80% 7,4% 100% 7,4% 14%

4 100% 10,5% 90% 9,5% 16%

5 100% 12,0% 65% 7,8% 12%

6 100% 10,7% 100% 10,7% 18%

Total 560,0% 58,3% 555,0% 53,1% 92,0%

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that the employees of a resource consume the other resources of a resource pool to

service the customers (Kaplan and Anderson, 2007).

Travel agents and other employees of the resource need office facility to service the

customer, therefore office facility related costs are included in resource pool no. 1. A visit

in the travel agency’s office reveals that the customer servicing staff of the travel agency

occupies 70% of the office facility. The customer servicing staff consists of six customer

servicing employees which happen to work all for resource no. 1. As explained above, are

though not all employees working full time and two of the six customer servicing

employees employ only a fraction of their personal worktime for resource no. 1. We need

to calculate the fraction of overall worktime of the six customer servicing employees that

is actually dedicated to resource no. 1, i.e. travel agents’ tasks. Therefore, in column F of

table 5, we multiply the percentage of personal worktime each employee employs for

resource no. 1 by his relative presence at work. With relative presence at work we intend

each resource employees’ personal employment percentage in relation to the sum of

employment percentage of all six customer servicing employees, see column F of table 5.

As a result of this calculation we learn that the six customer servicing employees employ

92% of their overall worktime for resource no. 1. We also know that these six customer

servicing employees occupy 70% of the travel agency´s office space. In consequence, 92%

of 70% of the office facility, i.e. 64% of the office is used for resource no.1.

Thus we allocate 64% of all real estate related expenses to resource pool no. 1 as can

be seen in table 6. Examples are 64% of all electricity expenses and 64% real estate

insurances costs of 2015. In this context we also include 64% of all interest payments of

the travel agency, as the only debt the travel agency has, is a housing loan for its office.

Other costs of sale, like paper and computer costs, are in table 6 allocated to resource

pool 1 in the percentage they are used by the travel agents according to the estimates of

the office manager (E. J. Sigmundsdóttir, personal communication, 16th of September,

2016).

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Table 6. Resource pool no. 1.

5.4.2 Resource pool no. 2: General marketing capacity

The cost related to marketing activities cannot be allocated to specific customers on a

time-basis. We therefore need to create two resource pools on which different marketing

activities make demand. Resource pool no.2, which represents the general marketing

capacity of the travel agency, contains all cost related to general marketing activities.

General marketing activities are all marketing activities except marketing activities that

are included in resource pool no. 3. Resource pool no. 3, which we call additional

marketing capacity, contains all cost related to sales’ expositions and the contact person

in Germany. Each customer group uses each of the two marketing resource pools in a

different proportion. We will explain the cost allocation principle better in step 5 of our

TDABC system.

As can be seen in table 7, the general marketing resource pool contains all advertising

and homepage costs. In addition, we allocate to this resource pool 50% of the travel

agency´s foreign marketing costs. These costs are due to publishing the booklet of the

travel agency (Travel agency, 2006 b). Marketing through advertising, the homepage and

the booklet are general marketing activities.

Cost ( according to financial statement 2015) Total amountAllocation

percentage

Allocated

amount

Salary and salary related expenses 65.187.882 53% 34.549.577

Staff's cafeteria 1.200.470 53% 636.249

Educational cost 489.048 53% 259.195

Annual staff's party 1.577.960 53% 836.319

Gifts and grants for the staff 174.146 53% 92.297

Interests for housing loan 2.197.509 64% 1.406.406

Running facility costs 1.953.512 64% 1.250.248

Depreciation real estate and office equipment 1.966.461 64% 1.258.535

Phone and postage 1.481.470 75% 1.111.103

Office equipment and computer system 3.850.779 75% 2.888.084

Driving costs 1.811.100 10% 181.110

Insurances 1.130.892 45% 508.901

44.978.025

Resource pool no. 1: Travel agents' capacity

TOTAL

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Table 7. Resource pool no. 2.

In addition, resource pool no. 2 contains the workforce of the marketing staff. In table

8, we use the same approach as for resource pool no. 1 to calculate the percentage of the

travel agency’s salary expenses that is employed for general marketing activities. Two

employees, which both work on full-time contracts, dedicate the in column D of table 8

specified part of their personal worktime to resource no 2. The two employees of

resource no. 2 happen to be the same individuals as resource employee no. 4 and no. 5

of resource 1, as the travel agency has only 6 customer servicing employees.

Nevertheless, we call these two employees resource employee no. 1 and no. 2, when we

look at resource pool no. 2. In this way the TDABC system can be easily adapted, if

individual employees are exchanged or additional employees employed in future.

Table 8. Worktime and salary of resource no. 2.

Cost ( according to financial statement 2015) Total amountAllocation

percentage

Allocated

amount

Advertisement and homepage 10.861.785 100% 10.861.785

Foreign marketing, traveling and sales expositions 7.461.281 50% 3.730.641

Salary and salary related expenses 65.187.882 4,9% 3.194.206

Staff's cafeteria 1.200.470 4,9% 58.823

Educational cost 489.048 4,9% 23.963

Annual staff's party 1.577.960 4,9% 77.320

Gifts and grants for the staff 174.146 4,9% 8.533

Interests for housing loan 2.197.509 5,3% 116.468

Running facility costs 1.953.512 5,3% 103.536

Depreciation real estate and office equipment 1.966.461 5,3% 104.222

Phone and postage 1.481.470 5% 74.074

Office equipment and computer system 3.850.779 5% 192.539

Insurances 1.130.892 5% 56.545

18.602.655

Resource pool no. 2: General marketing capacity

TOTAL

A B C D E F

Resource-

employee

no.

Employment

percentage

(full-time or

part-time)

Percentage of

salary of all

salaries of the

travel agency

Percentage of

personal worktime

dedicated to

resource 2

Percentage of

salary dedicated

to resource 2

Percentage of customer

servicing employees'

worktime dedicated to

resource 2

=C*D =D*B/560% 1

1 100% 12,0% 35% 4,2% 6,3%

2 100% 10,5% 7% 0,7% 1,3%

Total 200,0% 22,5% 42,0% 4,9% 7,5%1 560% is the sum of employment percentage of 6 customer servicing employees, see table 5

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Resource employee no. 1 employs according to his own estimates 35% of his personal

worktime to general marketing activities, mainly online marketing. He takes care of

Google and Facebook advertisements and the travel agency’s homepage (G. Ingólfsdóttir,

personal communication, 3rd of October 2016). The second resource employee employs

according to his own estimates 7% of his annual worktime to general marketing activities.

He prepares and designs the travel agency´s booklet (A. Steinbrenner, personal

communication, 5th of October 2016). 35% of resource employee no. 1’s salary and 7%

of resource employee no. 2’s salary is 4,9% of the total salaries of the travel agency, as

can be seen in column E of table 8.

Thus we allocate 4,9% of the total salaries of the travel agency into resource pool no.

2. In addition, the general marketing resource pool contains also 4,9% of all staff related

expenses. Table 7 illustrates the allocation of 4,9% of salaries and staff related costs.

In order to be able to allocate facility costs into resource pool no. 2, we need to know

which percentage of total worktime of customer servicing staff is employed for this

resource. The total worktime of all customer servicing employees is in this case the same

as the total worktime of all employees of resource no.1, as all six customer servicing

employees are working for resource no.1. In column F of table 8 can be seen that 35% of

resource employees no. 1´s personal worktime and 7% of resource employee no. 2’s

worktime is together 7,5% of the total worktime of all employees that service customers.

Recall that the customer servicing staff occupies 70% of the total office space of the travel

agency. This means that 7,5% of 70% of the office, i.e. 5,3% of the total office space, are

used for general marketing purposes.

Thus, in table 7 we allocate to resource pool no. 2 5,3% of all costs related to the real

estate. Considering the application percentage of total office space and total salary costs

around 5%, it seems sensible to include also all other office related costs at a percentage

of five into the general marketing resource pool. The results can be seen in table 7.

5.4.3 Resource pool no. 3: Additional marketing capacity

Resource pool no.3 contains all costs related to additional marketing by sales expositions

and a contact person in Germany. Sales’ exposition costs are 50% of the costs named in

the financial statement of 2015 “foreign marketing, travelling and sales expositions”, the

rest of the foreign marketing costs are included in resource pool no.2, as they are due to

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the booklet of the travel agency (Travel agency, 2006 b). The cost due to the contact

person in Germany is called in the travel agency´s financial statement “costs because of

direct sales in Germany”. We include 100% of this cost into resource pool no. 3, as can be

seen in table 9.

All sales expositions were purely directed at travelers who book directly, and not

directed at other travel agencies, as no business to business expositions were attended.

The marketing by the contact person is also directed at direct bookers, travelers that book

through another travel agency do not need assistance from the contact person in

Germany (G. Ingólfsdóttir, personal communication, 3rd of October 2016).

The travel agency doesn’t incur any cost for additional marketing to other travel

agencies. Foreign travel agencies who want to resell our travel agencies products either

know the owner of our travel agency for many years or approach our travel agency after

they were addressed through general marketing (G. Ingólfsdóttir, personal

communication, 3rd of October 2016).

Table 9. Resource pool no. 3.

In order to allocate the right percentage of salaries into resource pool 3, we need again

to consider how much worktime the travel agency’s staff spends for additional marketing

purposes. In 2015 the travel agency´s staff spent in total 37 workdays on six different

sales expositions. Three employees dedicated part of their workforce to sales expositions

and are therefore employees of resource no. 3. Two of them are managers of the travel

Cost ( according to financial statement 2015) Total amountAllocation

percentage

Allocated

amount

Foreign marketing, traveling and sales expositions 7.461.281 50% 3.730.641

Costs because of direct sales in Germany 995.004 100% 995.004

Salary and salary related expenses 65.187.882 2,2% 1.434.133

Staff's cafeteria 1.200.470 2,2% 26.410

Educational cost 489.048 2,2% 10.759

Annual staff's party 1.577.960 2,2% 34.715

Gifts and grants for the staff 174.146 2,2% 3.831

6.235.494

Resource pool no. 3: Additional marketing capacity

TOTAL

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agency, one resource employee is a customer servicing employee (G. Ingólfsdóttir,

personal communication, 3rd of October 2016).

In column D table 10 we have expressed the workdays employees of the company

spent at sales expositions as a percentage of their workforce. By multiplying the resource

employees’ salaries (expressed as a percentage of total company´s salaries) with the

percentage of their personal worktime dedicated to resource 3, we calculate that 2,2% of

the company´s salary cost is caused by attending sales expositions (see column E of table

10).

Table 10. Worktime and salaries of resource no. 3.

In accordance to the percentage of company’s salaries dedicated to the resource we

allocate 2,2% of all salary costs and staff related expenses to resource pool no.3. This can

be seen in table 9. We do not include any facility costs into resource pool no.3 as

marketing abroad doesn’t consume office capacity at home at any significant scale. In

consequence, we do not need to calculate any percentage of company´s workhours

dedicated to resource no. 3, i.e. table 10 does not have a column F. Recall that for

resource no. 2 and 3 we need to calculate the percentage of customer servicing

employees’ worktime only to be able to allocate office facility.

5.4.4 Business sustaining costs

The total overhead costs of 2015 of the travel agency were 99.036.921 ISK, as can be seen

in table 11. In this figure travel guides salaries are not included. The financial statement

doesn´t list travel guides salaries separately, the company intern bookkeeping enables us

A B C D E

Resource-

employee no.

Employment

percentage (full-

time or part-time)

Percentage of

salary of all

salaries of the

travel agency

percentage of

personal worktime

dedicated to

resource 3

Percentage of

salary dedicated to

resource 3

=C*D

1 100% 14,7% 10% 1,5%

2 100% 13,6% 3% 0,4%

3 100% 10,5% 3% 0,3%

Total 300,0% 38,9% 16,0% 2,2%

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though to deduct the travel guides salaries from the general salary cost (Travel agency,

2015 and Travel agency, 2015b). We don’t include travel guides’ salaries in overhead

costs, as they are part of the direct cost of group tours.

Of these 99.036.921 ISK can we allocate 70,5% or 69.816.173 ISK into resource pools,

see table 11. The overhead cost which is not allocated to resource pools is not related to

specific customers but sustains the business of the travel agency as a whole. According

to Kaplan and Cooper (1998) not specifically allocable overhead cost can be divided

arbitrary on all products or customers if pricing requires to allocate all cost on products

or customers. In our case, we do not need to take these general business sustaining costs

into account, as they do not have any meaning for the comparison of profitability of

different customer groups.

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Table 11. Overhead costs allocated into resource pools.

5.5 Step 5: Establish source consumption rates

In step five of our TDABC system we link the in step three identified customer servicing

activities to the in step four formed resource pools. This is done by establishing rates, at

which the activities, that the resources perform, make demand on resource pools.

5.5.1 Resource no. 1: Travel agents’ capacity

The consumption of travel agents’ capacity by travel agents’ tasks performed for various

customers can be measured by time. The time-rates for almost all resource activities, i.e.

travel agents’ tasks, can be measured by counting the following three time-drivers.

Total salaries and salary related expenses 65.187.882

6.919.953 -

1.953.512

34.582.397

69.113

1.966.461

2.197.509

99.036.921

44.978.025

18.602.655

6.235.494

69.816.173

510.572

50.000

1.300.036

892.840

26.467.300

29.220.748

70,5%

TOTAL

TOTAL

Auditing costs

Banking costs

Not allocated salary, housing and other cost

Percentage of all overhead costs allocated to recource pools

Travel guides' salaries

Running facility costs

Sales and management costs

Depreciation on receivables

Depreciation on receivables

Interests and exchange rate costs

Resource pool no.1

Resource pool no.2

Resource pool no.3

Travel agency's licence fee

Meeting costs

TOTAL

Overhead costs (financial statement 2015)

Overhead costs allocated to resource pools

Business sustaining expenses

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E-mails of travel agents

Booking lines in the sales software

Items in group packages

These time-drivers have a similar role as the cost drivers in the traditional ABC system.

They are the root cause of why cost occurs and assist therefore with allocation expenses

(Cooper and Kaplan, 1998). Time-drivers measure at what rate consumer servicing

activities consume resources time. In respect to cost drivers they are simpler to use as

the total number of time-drivers doesn´t need to be known. Moreover, several different

time-drivers can be simultaneously used to measure how various activities consume one

and the same resource (Kaplan and Anderson, 2007).

To establish time-rates, the TDABC system doesn’t require to observe scientifically

how activities are performed. Estimates of performance times are enough to be able to

allocate costs according to consumption of time (Kaplan and Anderson, 2004).

5.5.1.1 Time-driver no. 1: E-mails of the employees of resource no. 1

The time employed for many sub-activities that we introduced in step three under the

main activity booking with consulting, can be measured by e-mails. E-mails represent all

communication necessary to plan and sell a travel package. The more questions

customers have, or the more communication is needed to organize a trip, the more e-

mails have been exchanged between the customer and the travel agency. Each time

customers ask for a change of itinerary they receive an e-mail with a new itinerary

proposal. The more tailor made a trip is and the less it can be based on standard

itineraries, the more e-mails need to be exchanged.

E-mails can also be a time measure for sub-activities that fall under the main activity

called administration. E-mails measure how time intense the billing process is. Invoices

as well as collection reminders and payment confirmations are send by e-mail.

When measuring time spent to service a specific customer, we also include e-mails

which mention the customer’s name. In this way we can measure if special customer

service activity is needed for a specific customer, for example to solve problems like the

recuperation of lost baggage or service complains.

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The average time travel agents need for all the activities they have to perform to be

able to send one e-mail, is 15 minutes. These 15 minutes are not only simply the time it

takes to write the e-mail, but include also all other travel agent’s activities that are

necessary to generate the information send in an e-mail (A. Steinbrenner, personal

communication, 14th of October 2016). This is an estimation based on the experience of

the travel agents, Kaplan and Anderson (2004) mention that time rates should be

estimated, not experimentally observed.

As explained, one e-mail can represent all kind of booking with consulting and

administration activities, i.e. travel agents’ activities. Therefore, we can say that the

resource consumption rate for travel agents´ activities that involve sending e-mails is 15

minutes per e-mail. This resource consumption rate is illustrated in table 12.

5.5.1.2 Time-driver no. 2: Booking lines in sales software

The resource time consumption of other sub-activities that fall under the main activities

booking with consulting and administration, i.e. travel agents’ activities, can be measured

for individual package by booking lines in the sales software. Booking lines as shown in

figure 1 represent all work necessary to organize a trip for individual travelers, i.e.

customers of group 3 and 4. Each booking line represents an item of a package deal that

needs to be planned, booked and administrated. The more items a package contains, the

more options need to be checked, the longer travel descriptions and more vouchers need

to be prepared and the more incoming invoiced need to be checked and paid for.

In praxis travel agents often use previously assembled text elements which help them

plan and describe an individual trip quicker. These description of travel items are time

intense to write in the first place and need to be updated continually. Moreover, travel

agents register prices into the booking software for the most frequently booked

accommodations in the preparation of each year. This preparative work facilitates the

booking process but signifies previous consumption of resource time. In the resource

consumption rate, that is measured by booking lines, is an average time for description

of the items included. For accommodations booked frequently preparative work can be

used many times, so that the relative time consumption per booking of the

accommodation is less than average. This is compensated by the fact that the description

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of new, not previously described items in a booking package consumes much more

resource time than average.

As can be seen in figure 1, the sales software creates every time a line, when agents

request to book a hotel, no matter if the hotel is actually booked or not. Namely, not

every requested hotel is actually booked, because hotels deny booking request, if they

don´t have capacity. Therefore, measures the number of booking lines in the sales

software also the time which was employed to check on accommodations that were

already fully booked. Booking lines which do not lead to successful bookings don’t

represent travel documents or invoices, i.e. they stand for less administration time. This

is offset by the fact that they represent more communication time than successful

booking lines. Personal notes of travel agents show, that travel agents check availability

of accommodations directly by phone when the booking request through the system are

frequently denied. In this sense system lines because of denied booking requests are as

resource consuming as successful booking lines (A. Steinbrenner, personal

communication, 14th of October 2016).

Between planning, booking and administration the average amount of time of travel

agents’ capacity related to one booking line is 9 minutes (A. Steinbrenner and S.A.R.

Roloff, personal communication 13th of October 2016).

The resource rate for travel agents’ activities related to booked items in an individual

package is therefore 9 minutes per booking line in the sales software.

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Figure 1. Booking lines in the sales software.

5.5.1.3 Time-driver no. 3: Items in group trips

Group trips are not booked through the booking software but through direct

communication between the hotels and other service providers of a group package and

the travel agency. Therefore, for group travelers, i.e. customer group 1 and 2, the

resource time consumption of travel agents’ activities that are not related to sending e-

mails is measured by items in a travel package, not by booking lines in the sales software.

Every single item in a group travel package needs to be planned, booked and carefully

reviewed, to insure that a group trip functions properly. Every item is also described in

travel documents for the customer. These descriptions are though less detailed than

descriptions of individual packages, as group tours are guided and standardized.

The organization, booking and administration of each element of a group package

takes about 45 minutes (G. Ingólfsdóttir, personal communication, 19th of October,

2016).

When calculating time consumption per traveler we need to keep in mind that all

services of a group package are used by all members of one travel group. The resource

consumption rate for travel agents’ activities related to items in a group package is

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therefore 45 minutes for each item in a group package divided by the number of group

traveler units of a group.

Table 12. Resource consumption rates.

Resource consumption rates

Resource number

Resource activities

Consumption measurement

Drivers to estimate

time/ fraction

Minutes / fraction per

driver

1

Travel agents’ activities related to sending

emails

Minutes of resource time

E-mails

15

1

Travel agents’ activities related to items in an

individual travel package

Minutes of

resource time

Booking lines

9

1

Travel agents’ activities

related to items in a group travel package

Minutes of

resource time

Items in a group package divided by

number of customer units in the travel

group

45

2

General marketing

Fraction of

capacity

Customer booking through foreign travel

agency

1/2746

2

General marketing

Fraction of capacity

Customer booking directly

5/2746

3

Additional marketing

Fraction of capacity

Customer booking directly

1/536

5.5.1.4 Unmeasured resource activity

With the three time-drivers presented we can estimate the resource time employed for

all travel agents’ activities, except the time spent to answer emergency calls of customers

who need assistance during their time in Iceland. Emergency calls are answered orally

and vary a lot in their complexity. There is no documentation available about emergency

assistance in 2015. In total this activity consumes comparatively little amount of the

travel agents’ resource. According to estimates only 12 workhours a year are employed

for it (S.A.R. Roloff, personal communication, 4th of October 2016). Moreover, company

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intern documentation shows, that all customer groups can use resource time for this

issue (Travel agency, 2014). We exclude this activity from cost calculation, as it is minor

and doesn’t have traceably more impact on specific customer groups.

5.5.2 Resource no. 2: General marketing capacity

The resource consumption rate of general marketing activities depends on the customer

groups these marketing activities are directed at. In other words, the consumption of

general marketing capacity of different customers depends on whether the customers

book through a foreign travel agency, i.e. belong to customer group 1, or book directly at

our travel agency, i.e. belong to customer group 2, 3 or 4.

We assume that travel agencies and individuals who are directly addressed by general

marketing activities consume the general marketing capacity in equal proportions.

Foreign travel agencies that are once addressed by general marketing, sell in average to

five traveler units a year (A. Steinbrenner, personal communication, 7th of October 2016).

Those five customers, that are buying through one foreign travel agency don’t consume

any general marketing capacity directly. They only consume indirectly a fraction of the

marketing capacity the foreign travel agency that sells to them consumed previously. In

essence consume customers of group 1 only one fifth of the resource capacity other

customers consume.

As can be seen in column B of table 13 the travel agency sold during the year 2015 a

total of 368 individual packages and 468 group travelers’ spaces. I.e. 368 trips were sold

to customers of group 1 and 2 and 468 trips were sold to customers of group 3 and 4.

Group travelers travel in average in subgroups of two travelers (E.Ö. Sigurjónsson,

personal communication, 22nd of September 2016). Therefore, we consider the 468

group travelers as 234 customer units and calculate in column C of table 13 that the travel

agency serviced in 2015 a total of 602 customer units. We allocate marketing capacity to

customer units, not single customers, as we assume that one key member of each

decision-making unit must be convinced in marketing (Jobber and Fahy, 2009).

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Table 13. Consumption of resource no. 2.

Company intern documentation (Travel agency, 2016 b) states, that 11% of all

turnover in 2015 was generated by sales through other travel agencies. As we don’t have

any other data available, we use turnover percentages to calculate the number of

customer units that booked through foreign travel agencies. As shown in column D of

table 13, 11% of 602 customer units booked through foreign travel agencies. This means,

66 customer units of the total 602 customer units belong to customer group 1. The

remaining 536 customer units booked directly at our travel agency, i.e. they belong to

customer group 2, 3 or 4.

As explained earlier and illustrated in column E of table 13, customers of group 2, 3

and 4 consume each five times more of the resource each customer of customer group 1

consumes. In order to be able to allocate to each customer unit a fraction of general

marketing resource according to the in column E established relative resource

consumption, divide we the general marketing capacity into 2746 equal parts, see column

F of table 13. This enables us to divide the resource among all customers in a way that

allocates 5 times more parts to direct bookers, i.e. customers of group 2 to 4, than to

customers of group 1, see column G of table 13.

The resource consumption rate for general marketing therefore is 1/2746 of the total

resource for customers which book through travel agencies and 5/2746 of the total

resource for customers which book directly. This is illustrated in table 12.

A B C D E F G

Customer

groupsold trips

Customer units

with units of 2

group travelers

Customer units

according to

turnover

Relative resource

consumption per

customer unit

Relative resource

consumption per

customer group

Resource

consumption rate

per customer unit

=D*E =E/sum (F)

1 602*11%=66 1 66 1/2746

2

3

4

TOTAL 836 602 602 6 2746 6/2746

5/27462680

468

368

468/2=234

368536 5

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5.5.3 Resource no. 3: Additional marketing capacity

Additional marketing activities, i.e. sales exposition marketing and marketing through a

contact person in Germany, are exclusively directed at direct bookers. Therefore,

resource no. 3 is only consumed by customers of group 2, 3 and 4.

All 536 costumer units who book directly consume additional marketing capacity in equal

parts. Customers who book through foreign travel agencies don’t consume any additional

marketing capacity. We divide the additional marketing capacity in 536 equal parts, each

customer of group 2, 3 and 4 consumes one of these 536 parts.

The resource consumption rate for additional marketing therefore is 1/536 of the total

resource for customers which book directly.

5.6 Step 6: Calculating costs according to effective use of capacity

Step six of the TDABC system calculates the total cost of customers of the travel agency.

In order to determine the total cost of each customer of our sample we need to add their

indirect cost to their direct cost, that we listed up in step two.

The indirect cost of each customer is the sum of the cost due to his consumption of all

resources of the travel agency. Therefore, we need to calculate what cost the in step five

established resource consumption rates signify for the travel agency. As consumption of

resource no. 1 is measured in minutes, we need to calculate how much one minute of

resource no. 1 costs. For resource no.2 and 3 we need to calculate how much one fraction

of the resource costs.

Once established resource consumption costs per minute or fraction of resource

capacity, we multiply this cost with the amount of minutes or fractions of resource

capacity a customer uses to calculate the indirect cost caused by his consumption of a

specific resource.

5.6.1 Cost per minute of effective capacity of resource no. 1

Kaplan and Anderson (2004) emphasize that it is important to divide the total cost of a

resource through the effective capacity in minutes of the resource, when calculating the

resource cost per minute. Other than the theoretic capacity of a resource, the effective

capacity is the amount of time the employees of the resource are productively working.

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Time spent for breaks and other unproductive activities needs to be deducted from the

total amount of time employees are present at work, when calculating the effective time

capacity of a resource.

According to the collective agreement the fulltime employees of the travel agency

work 37 hours a week. In this amount is one 15 minutes break a day included, so that

fulltime employees are 35 hours and 45 minutes a week at their workplace (VR, 2016).

The weeks worked a year in Icelandic offices are 43,8. The number of 43,8 weeks is

obtained by deducting 24 days of vacation (VR, 2016) and 17 public holidays (Lög um

helgidagafrið no. 32/1997) from 52 calendar weeks. An employee who works 35 hours

and 45 minutes for 43,8 weeks a year, works in total 1566 hours a year. This means that

a 100% employed travel agent should be theoretically 1566 hours at work a year.

In column D of the table 14 we calculate the theoretic workhours dedicated to

resource no. 1 by multiplying each resource employee’s employment percentage with

the percentage of worktime he dedicates to resource no. 1 and the 1566 annual theoretic

workhours of a fulltime employee.

Table 14. Effective workhours of resource no.1.

The average absence because of sickness and personal errands during paid worktime

is 110 hours a year. Employees spent about 80% of their worktime productively (E.

Sigmundsdóttir, personal communication, 13th of October 2016). According to this we

A B C D E

Resource-

employee

no.

Employment

percentage

(full-time or

part-time

employee)

Percentage of

personal

worktime

dedicated to

resource 1

Theoretic

workhours

dedicated to

resource 1

Effective

workhours

dedicated to

resource 1

B C 1566*B*C (1566-110*C)*80%

1 100% 65% 1.018 757

2 100% 90% 1.409 1.048

3 100% 100% 1.566 1.165

4 100% 100% 1.566 1.165

5 80% 100% 1.253 914

6 80% 100% 1.253 914

TOTAL 560,0% 555,0% 8.065 5.964

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calculate in column E of table 14 the effective workhours each employee of resource no.

1 dedicates to the resource. We deduct from each agent’s theoretic workhours an

average absence and multiply the result with 80%., i.e. the percentage of worktime spent

productively. As mentioned before the average absence of an employee is 110 hours a

year. This absence has though less effect on the workhours of resource no. 1, if the

employee doesn’t spend all his worktime for the resource. Therefore, we do not simply

deduct 110 hours from the theoretic workhours of each employee but deduct the product

of 110 hours and the percentage of personal worktime dedicated to resource no. 1. As a

result of these calculations we learn that the effective capacity of resource no. 1 is in total

5964 workhours, see column E of table 14.

In step four of our TDABC system we calculated that the total cost of resource no. 1 is

44.978.025 ISK. The resource has an effective capacity of 5964 workhours or 357.840

minutes. This leads to a cost per minute of effective resource capacity of 126 ISK, as can

be seen in table 15.

Table 15. Cost per minute of resource no. 1.

5.6.2 Travel agents’ capacity cost for a customer unit

In order to establish the cost caused by a customer unit because of its use of resource no.

1, we need to calculate how many resource minutes it consumes and multiply these

minutes with the cost per minute of resource time. Table 16 illustrates how a specific

costumer´s use of time-drivers can be translated into use of resource time and

consumption of resource capacity. This table needs to be filled out separately for each

customer unit whose profitability shall be analyzed. Recall that in order to be able to

compare group tourists and individual packages, we analyze customers in units. Group

Total cost of resource no.1 44.978.025

Effective capacity of resource in hours 5.964

Effective capacity of resource in minutes 357.840

Cost per minute of resource time 126 ISK

Resource no.1 : Travel agents' capacity

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travelers, who book together are considered as one customer unit, as well as all members

of the same individual package are one customer unit.

Table 16. Calculation of customer’s consumption of resource no. 1

For each customer analyzed we need to count the amount of time-drivers he uses and

record the results of our count in column C of table 16. A customer’s total consumption

of resource time can then be easily calculated by multiplying the number of time-drivers

he uses with the number of minutes a time-driver represents, see column D of table 16.

Once established a customer’s use of resource time, we can calculate his specific resource

consumption cost. To do so we multiply a customer unit´s total use of resource minutes

with the cost per minute of resource time, i.e. 126 ISK. Thus, the sum of column E of table

16 expresses the total cost of a customer unit in accordance to its specific use of time-

drivers.

When counting time-drivers, we consider for group travelers the number of items in a

package and for individual travelers the number of their booking lines, this concept has

been explained in step five. Moreover, we need to divide the total number of items in a

group package by the number of customer units traveling in that group. This is due to the

fact, that all customers traveling in the same travel group consume a share of the

A B C D E F

Count for each

customer=B*C

=D*Cost of

resource-minute

Emails 15 COUNT =D*126

Applies to all

customer

groups

Booking lines 9 COUNT =D*126

Applies to

customer

group 3 and 4

Items in a

group package45

COUNT divided

by number of

customer units in

travel group

=D*126

Applies to

customer

group 1 and 2

=sum(E')TOTAL COST BECAUSE OF CONSUMPTION OF RESOURCE NO. 1

Drivers to

estimate time

Minutes per

time-driver

Resource no. 1: Travel agents' capacity

Minutes of

resource time

consumed

Number of time-

drivers

Cost of the

customer unitExplanation

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resource related to one item of the package. In other words, all customer units of a travel

group benefit equally of the 45 minutes employed to organize one item in their group

package, as they all use this item.

5.6.3 Marketing cost for a customer unit

In a more complex setup we would now count how many fractions each customer uses

of marketing resources. The marketing cost for a specific customer would be calculated

by multiplying the number of fractions he uses with the cost per fraction of marketing

resources.

In our case all customers of the same customer group use a fixed amount of fractions

of marketing resources. As explained in step five each direct booking customer unit uses

5 of 2746 parts of resource no. 2, i.e. general marketing capacity, and 1 of 536 parts of

resource no.3, i.e. additional marketing capacity. In other words, each customer unit of

group 2, 3 or 4 uses always 0,18% of resource no. 2 and 0,19% of resource no. 3. This is

illustrated in column D and E of table 17. Customers of group 1 use each 1 of 2746 parts

of resource no. 2, i.e. 0,04%. Besides this they do not use any fraction of resource no. 3,

i.e. 0%.

Therefore, we can directly calculate a fixed cost because of general and additional

marketing for each customer, according to which group he belongs to. In column F of

table 17 we multiply the total cost of each marketing resource with the fraction of these

resources used by the customer units of specific customer groups. As a result, we find out

that marketing to each customer unit of group 1 costs 6.774 ISK. Each costumer unit that

belongs to group 2, 3 or 4 causes 45.506 ISK in marketing costs.

Table 17. Marketing cost per customer unit.

A B C D E F

Total cost of

resource 2

Total cost of

resource 3

Fraction used of

resource 2

Fraction used

of resource 3

Marketing cost

per customer-

unit

=B*D+C*E

Customer group 1 0,04% 0% 6.774

Customer group 2, 3 or 4 0,18% 0,19% 45.506 18.602.655 6.235.494

Resource no. 2 and no.3: General and additional marketing

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5.6.4 Total costs of the customer groups of our sample

The exact amount of time-drivers of each customer unit of the sample is listed up in

appendix 1. This count of time-drivers enables us to calculate each customer’s use of

resource no. 1 with the method we illustrated in table 16. In appendix 1, we also list the

specific cost of each costumer of the sample because of consumption of resource no. 2

and no. 3. Finally the total indirect cost of each customer is added to his direct cost, so

that appendix 1 shows a list of the total cost of all customer units of the sample. On the

basis of the cost list shown in appendix 1 we calculate the average indirect and direct

costs of each customer group. The average indirect and direct cost of all customer groups

is illustrated in table 18.

The average indirect cost of our customer groups is not proportional to their average

direct cost. Table 18 shows that the average indirect cost of our sample customers is less

for group travelers, i.e. customer group 1 and 2, than for individual travelers of customer

group 3. In contrary to this the group travelers direct cost is more than the direct cost of

customers of group 3. A similar disproportion between direct and indirect cost can be

observed between customers of group 1 and 2. The average indirect cost of group

travelers who book through foreign travel agencies is less than for group travelers who

book directly. The direct cost of the former is though lower than the direct cost of the

latter.

Table 18. Average cost of the customer groups.

5.7 Step 7: Calculating profitability

In step 7 of the TDABC system we calculate the profit of each customer unit by subtracting

its total cost from its revenue. In order to compare the profitability of customer units and

travel packages of different sizes we calculate the markup percentage on costs for all

customers of the sample, see Appendix 1. Moreover, we calculate the markup percentage

Customer group

no.

Average direct

cost

Average indirect

cost

Average total

cost1 559.850 ISK 12.304 ISK 572.154 ISK

2 459.567 ISK 25.392 ISK 484.959 ISK

3 361.212 ISK 41.244 ISK 402.456 ISK

4 658.454 ISK 48.040 ISK 706.494 ISK

Average cost of customer groups

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on direct costs of all customers of the sample to be able to compare profitability with

TDABC and with traditional costing.

Table 19 illustrates the profitability of customer units of our sample when markup on

total costs is calculated with TDABC. For comparison purposes we show also the sample

customer profitability simply measured in markup on direct costs. According to these

sample customers, profitability of customers is clearly subjected to their specific

consumption of the travel agency´s resources. The customers who seem to be equally

profitable when only considering direct costs vary a lot in their profitability when

considering direct and indirect costs. The markup on direct costs and markup on total

costs calculated with TDABC are not proportional to each other.

When considering indirect costs due to the specific consumption of companies

resources by specific customers, profitability is much lower than when considering only

direct costs. Some customers of group 3 and 4, i.e. individual package travelers, even

make the company lose money, as they have negative profitability. Customers with low

profitability percentages can be regarded as well as unprofitable as the TDABC system

links only about 70% of all indirect costs of the financial statement of 2015 to specific

customers.

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Table 19. Profitability of the customers of the sample.

Besides the information we generated with TDABC it is also interesting to see, that the

markup on direct cost of our customer sample varies considerably between individual

customer units, especially for customers of group 3 and 4. Any simple customer

profitability analysis that considers direct costs could have shown this, but as the travel

Costumer

unit no.

Markup on

direct costs

Markup on total

costs calculated

with TDABC

Costumer

unit no.

Markup on direct

costs

Markup on total

costs calculated

with TDABC

1 10,2% 7,2% 1 22,4% 12,3%

2 10,2% 7,2% 2 22,4% 1,5%

3 12,6% 9,6% 3 22,4% 10,2%

4 10,2% 7,2% 4 53,1% 29,2%

5 12,4% 9,4% 5 53,1% 23,1%

6 12,4% 9,4% 6 53,1% 29,2%

7 12,4% 9,4% 7 32,1% 14,8%

8 40,7% 33,3% 8 32,1% 15,2%

9 18,9% 16,5% 9 32,1% 11,9%

10 50,5% 38,0% 10 34,8% 17,6%

11 21,3% 16,5%

12 21,3% 16,5%

13 54,6% 42,9%

14 21,3% 16,5%

15 21,3% 16,1%

Costumer

unit no.

Markup on

direct costs

Markup on total

costs calculated

with TDABC

Costumer

unit no.

Markup on direct

costs

Markup on total

costs calculated

with TDABC

1 28,7% 0,4% 1 23,2% 11,8%

2 39,5% 17,5% 2 36,6% 26,6%

3 65,0% 16,8% 3 49,3% 24,7%

4 29,9% 13,5% 4 25,1% 9,9%

5 56,8% 14,2% 5 32,3% 12,7%

6 40,7% 17,2% 6 61,9% 45,9%

7 16,9% -5,9% 7 28,0% 9,8%

8 29,2% -2,8% 8 18,5% -2,9%

9 38,9% 13,6% 9 67,6% 36,5%

10 23,8% 3,9%

11 49,4% 34,3%

Customer sample

Customer group 3 Customer group 4

Customer group 1 Customer group 2

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agency has so far not engaged in CPA, this information is a valuable side product of our

CPA with TDABC.

Our sample is not statistically representative for all customers of the travel agency.

Nevertheless, the average markup of different customer groups shows, that we cannot

really evaluate the profitability of customer groups without considering indirect costs.

The average markup of customer groups on direct costs is compared to customer groups’

average markup on direct and indirect costs calculated with TDABC in table 20.

The customer group’s average markup on direct cost is similar for all customers who

book directly, i.e. customer group 2, 3 and 4, and lower for customers who book through

travel agencies, i.e. customer group 1. This result is not surprising, as the company’s

pricing is based on markup on direct costs. As foreign travel agencies charge commissions,

the markup on direct costs decreases when trips are not sold directly. If we consider

though indirect costs, we get a different picture of the profitability of different customer

groups of our sample. Under TDABC the markup on total costs is similar for all group

travelers, no matter if commissions are paid to foreign travel agencies or not.

Table 20. Average profitability of customer groups.

The average profitability of individual travelers is as well subjected to indirect costs.

The markup on direct costs of our sample customers doesn´t differ according to when

individual travelers booked their packages. If we calculate the cost of the customers of

our sample with TDABC, individual travelers who book with shorter notice, i.e. after

February, are on average less profitable.

Customer GroupAverage markup on

costs with TBABC

Average markup on

direct costs

1 17,1% 22,0%

2 16,5% 35,8%

3 9,4% 38,4%

4 19,4% 37,8%

Average markup on costs

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6 Discussion of the results and benefits of the TDABC system

6.1 Comparison of profitability of customer groups

The TDABC system provides cost information that enables the travel agency to compare

different customer groups and review whether its costumer mix can be improved. There

is no evidence from our sample, that group travelers or individual travelers as a whole

are more or less profitable. Therefore, the company should continue to address both,

group traveler and individual travelers. Our sample shows though that profit can differ

between different customer groups of individual travelers and group travelers. This

information enables the company to react in profit improving ways.

Group travelers book directly and indirectly. The owners of the travel agency were

wondering, whether it is feasible to pay commissions to foreign travel agencies to resell

their products. Profitability calculations that are only based on the markup on direct

costs, indicate that the profitability is less of those customers who book indirectly through

foreign travel agencies. These calculation omits though the role of indirect costs and is

therefore an insufficient decision tool for the managers. Our customer profitability

analysis with TDABC shows that customers who book through foreign travel agencies are

as profitable as direct customers. The commissions paid to other travel agencies should

therefore not stop our travel agency from selling indirectly.

Individual travelers book either before March or after February. The TDABC of the

sample customers reveals that profitability varies according to when customers book.

This information profitability analysis by markup on direct costs cannot generate. The

TDABC takes the greater resource consumption of customers who book with shorter

notice into consideration and shows that profits of the sample customers are lower when

they book with shorter notice. It is important for the managers to be aware that

profitability varies in this way. They can use this information to try to increase the number

of customers that book early, for example by addressing this group with special

marketing.

6.2 Pricing according to TDABC

Customer profitability analysis by TDABC can be used for pricing decisions. The sample

we took to illustrate how the TDABC system works, is though too small to make exact

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pricing decisions from its results. Small samples with a high variance result in a wide

confidence interval for the population mean, so that results are little significant

(Newbold, Carlson and Thorne, 2010).

With the TDABC system we installed the travel agency could easily collect profitability

information for all customers. The only information travel agents would have to record

during the booking process would be, how many e-mails they send and how many lines

they booked or how many items a travel package contained. In essence could they fill out

table 16 for every customer they service, while the service is provided. It would then be

possible to compare the profitability of all customers of one customer group with the

profitability of all customers of another customer group and adjust pricing to specific

groups according to it.

A diverse pricing to different customer groups according to their real cost, would have

the benefit, that more profitable customer groups wouldn´t have to subsidize less

profitable customer segments (Cooper and Kaplan, 1991). Prices to the most profitable

customer groups could be lowered, for example with bigger discounts for customers who

book before March. In this way profitable customer groups might be increased as the

travel agency’s offer become more price competitive for them. As we analyzed in chapter

4.1 the market segment of the travel agency is particularly price sensitive. Competitive

pricing is therefore very important.

If the prices for less profitable customer groups were augmented, currently

unprofitable customers who accept these higher prices would become more profitable,

as they would pay according to their higher cost. As Drucker (1995) points out, the travel

agency should not be afraid to loose price sensitive unprofitable customers. It should be

positive to loose unprofitable customers and new price-sensitive profitable customer

might fill the capacity again. Besides this all expenses are in the long run variable, so that

capacity can be adjusted to the amount of profitable customers.

In addition, cost-adjusted pricing policy does not necessary terminate currently

unprofitable customer relations. Customers’ behavior can be influenced in a profit

increasing way (Cooper and Kaplan, 1991). Diverse pricing could influence the booking

behavior of customers, for example make them book earlier or promote the use of

foreign travel agencies.

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6.3 Managing the profitability of specific customers

The TDABC analysis of the customers of our sample showed also that profitability varies

not only between customer groups but also between specific customers of the same

group. This is due to variations of revenue and direct and indirect costs among customers.

Variation of the markup on direct costs due to imprecise pricing forecast could be

limited by stopping to promise a fixed price for a not yet booked travel package. Quoting

a price range in the first travel package offer would allow to adjust prices according to

variations in direct costs. Moreover, variations in direct costs, that are due to changing

sizes of travel groups, could be limited by ensuring the sale of all spaces of a travel group.

Special offers and increased marketing efforts for unsold spaces in group trips would be

a tool for this.

Variations of the markup on indirect costs due to different consumption of travel

agents’ capacity could be limited by rationalizing travel agents´ activities. If travel agents

calculated indirect cost of specific customers as the service evolves, they could

immediately reduce their service when customers would start to be unprofitable

according to TDABC. For example, communication and modification of travel proposals

could be limited when the time consumption measured by e-mails would exceed the

limits of profitability. If the time consumption measured by booking lines exceeded

profitability limits, complexity of travel packages could be limited. In this way the

profitability of specific customers could be managed and operation structures could be

modified to reduces costs. Cooper and Kaplan (1991) emphasize that activity-based

costing should not only be used for pricing but also for process improving that minimizes

resource consumption.

6.4 General use of TDABC information

Besides CPA provides TDABC information which could be generally valuable for the

management. For example, the relative high cost of additional marketing for specific

customer groups could be taken into consideration when reviewing processes. Managers

could critically review if the benefit of the additional marketing activities like the

attendance of sales expositions justifies additional marketing activities’ costs.

It is also important to be aware of the cost per minute of the travel agents’ capacity.

Only about 30% of all customers who contact the travel agents for a travel proposal

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actually book a travel package (A. Steinbrenner, personal communication, 21st of October

2016). Knowing the cost per minute of travel agents’ capacity, it is possible to calculate

how much these non-profit generating customer contacts cost the company, for example

by counting the e-mails sent to them. This cost could be covered by charging potential

customers a service-fee for a travel proposal, which would be refunded if the proposal

was actually booked.

It might also be interesting to analyze how big the percentage of travel agents’ capacity

is, that is not used to service actual customers. By counting all time-drivers used for

customers, it would be possible to determine the total amount of resource time spent to

service paying customers. If servicing customers does not occupy the complete practical

resource time, it must be concluded that the remaining practical resource time is not used

for profit generating customer service. One possible explanation for non-profit

generating use of resource time could again be travel proposals which don’t lead to any

sale. Another explanation might be that the resource capacity is too big in relation to the

number of customers available. In any case a better understanding of the consumption

of the travel agents’ capacity would help to review business processes and minimize the

amount of travel agents’ capacity that is spent on none generating income.

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7 Conclusion

The installation of a TDABC system in the travel agency of our case study has shown that

time-driven activity-based costing is a useful and practicable approach for customer

profitability analysis in Icelandic travel agencies.

The results generated by TDABC allow to evaluate customer profitability in a much

more precise way than simple profitability calculation based on the markup on direct

costs. TDABC accounts for direct and indirect costs of customers. Traditional profitability

analysis by markup on direct costs cannot account for the indirect costs associated with

more or less extended use of companies’ resources by different customers. In order to

be able to evaluate the effect on profitability of commissions paid to other travel

agencies, we need to consider indirect costs. Indirect costs matter as well, when we want

to evaluate profitability according to when and how customers book.

For the customers of our case study the profitability based on the markup on total

costs, calculated with TDABC, is not proportional to the profitability calculated by a simple

markup on direct costs. Therefore, when analyzing the profitability of the customers in

the case, it is not possible to correctly estimate the markup on total costs on the basis of

the markup on direct costs. We have no reason to believe that the findings of this case

study cannot be generalized for other travel agencies on the same market. All companies

on the market who sell similar products face the same conditions. Namely they face the

same variable customer behavior and similar company inherent processes, that cause

indirect cost to vary among customers and to be unproportioned to direct costs.

A precise customer profitability analysis which divides customers into groups, like the

TDABC system we installed in this study, proved to be a good tool to enhance profitability.

On the Icelandic travel agency market, we considered, resources are limited and

competition is high. The customer profitability analysis by TDABC conducted in the case

study provided the company with the necessary information to succeed in such an

environment. It is highly likely that similar companies would benefit in a similar way. CPA

by TDABC helps travel agencies to understand the structure and the profitability of their

customers. In this way they are enabled to price competitively and address the right

customers. Moreover, TDABC shows how different customer groups consume resources.

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This is a necessary information for reviewing process in a way that limits resource

consumption and maximize profits.

The study showed that companies, who don’t currently engage in any profound

customer profitability analysis (CPA), like the travel agency of our case, benefit from

starting CPA by TDABC, as they get a more differentiated and accurate picture of their

customers’ costs. Travel agencies who already engage in CPA can use TDABC to review if

the costing of different customer groups is correct. Moreover, CPA by TDABC can enable

them to analyze why different customer groups are more or less profitable. As evidenced

by the case study TDABC can provide information that can be used to improve processes

and influence customers’ behavior in a way that currently unprofitable customer groups

become profitable.

The installation of a TDABC system in the travel agency of the case proved to be quite

time consuming, as a lot of information about the work process in the company needed

to be collected. It was though possible to develop a system which measures the resource

consumption of specific customers in a simple way. Customer servicing processes are

similar in all travel agencies that use modern computer systems. Therefore, the basic

TDABC system developed in this study should be adaptable to other travel agencies. Semi-

structured interviews proved to be a good tool to understand the company´s activities

well enough to divide costs into resource pools and define resource consumption rates.

The study showed that the operation of a TDABC system is feasible for small

companies, like the typical Icelandic travel agency, if time-drivers are counted during the

customer servicing process. A complete TDABC analysis of all customers of an Icelandic

travel agency is though only realistic, if data is collected simultaneously. Data collection

afterwards proved to be time intense as it required a lot of manual work. Analyzing a

customer sample whose service is already completed proved to be a good starting point

to compare the profitability of different customer groups and establish fields for further

analysis.

With this study we could validate for Icelandic travel agencies the theory of Kaplan and

Anderson, that TDABC is a practicable approach for CPA in the service industry. Our study

showed that international case study results in tourism, like the study by Dalci, I., Tanis,

V. and Kosan, L. (2010) in a Turkish hotel can be confirmed by study results in the Icelandic

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tourism. In order to be completely able to evaluate the value of the TDABC system

designed in this study, it would be useful to conduct a 12-month long case study in the

travel agency and test TDABC of all customers of a whole year. Further research would

also be desirable in other travel agencies to test how work intense the adaptation of the

developed TDABC system is.

It is likely that costumer profitability analysis will become increasingly important for

Icelandic travel agencies, as capacity in the Icelandic tourism is reaching is limits and

competition increases. Time-driven activity-based costing is a feasible and effective tool

for CPA. We might see in future that travel agencies realize the advantages of being able

to allocate direct and indirect cost to specific customers, so that they take up TDABC for

CPA.

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Appendix

Appendix 1. Direct costs, indirect resource costs and time-driver of the sample.

AB

CD

EF

GH

IJ

KL

M

NO

Cu

stom

er

grou

p

Cu

stom

er

No

.

Dire

ct cost

paid

to h

ote

ls

etc.

Min

ute

s

use

d o

f

reso

urce

1

Co

st

reso

urce

1

Co

st

reso

urce

2

and

3

Total co

st of

the

custo

me

r

un

it

Sales re

ven

ue

of

the

custo

me

r

un

it

Pro

fit from

custo

me

r

un

it

Marku

p o

n

costs w

ith

TBA

BC

Marku

p o

n

dire

ct costs

Bo

okin

g

line

s/Item

sEm

ailsN

ame

PA

X

=L*9 or

45+M*15

=D*126

=IF(A=1;67

74;45506)=E+F

=G-H

=H/G

-1=H

/C-1

see

step

2 of

TDA

BC

see

table

17

11

710.674 ISK

10212.825 ISK

6.774 ISK730.273 ISK

783.081 ISK

52.808 ISK7,2%

10,2%1,9

1H

elene G

azzi2

12

710.674 ISK

10212.825 ISK

6.774 ISK730.273 ISK

783.081 ISK

52.808 ISK7,2%

10,2%1,9

1M

arlis Merz

2

13

710.674 ISK

10212.825 ISK

6.774 ISK730.273 ISK

800.483 ISK

70.210 ISK9,6%

12,6%1,9

1H

ans-C

hristian

Web

er2

14

710.674 ISK

10212.825 ISK

6.774 ISK730.273 ISK

783.081 ISK

52.808 ISK7,2%

10,2%1,9

1M

argrit S

chrö

ter2

15

710.674 ISK

10212.825 ISK

6.774 ISK730.273 ISK

798.795 ISK

68.522 ISK9,4%

12,4%1,9

1Sylk

e Kaija R

ud

olp

h2

16

710.674 ISK

10212.825 ISK

6.774 ISK730.273 ISK

798.795 ISK

68.522 ISK9,4%

12,4%1,9

1T

orsten

Osterm

eier2

17

710.674 ISK

10212.825 ISK

6.774 ISK730.273 ISK

798.795 ISK

68.522 ISK9,4%

12,4%1,9

1M

aria Glaser

2

18

355.337 ISK

10212.825 ISK

6.774 ISK374.936 ISK

499.793 ISK

124.857 ISK33,3%

40,7%1,9

1In

es Hild

ebran

dt

11

9876.485 ISK

89

11.168 ISK6.774 ISK

894.428 ISK1.042.362 ISK

147.934 ISK

16,5%18,9%

1,61

Bern

d W

erner R

iedel

4

110

219.121 ISK

10413.058 ISK

6.774 ISK238.954 ISK

329.849 ISK

90.895 ISK38,0%

50,5%1,6

2W

olfg

ang S

tenzel

1

111

438.243 ISK

8911.168 ISK

6.774 ISK456.185 ISK

531.657 ISK

75.472 ISK16,5%

21,3%1,6

1Sara H

albig

2

112

438.243 ISK

8911.168 ISK

6.774 ISK456.185 ISK

531.657 ISK

75.472 ISK16,5%

21,3%1,6

1A

nna P

etersen2

113

219.121 ISK

8911.168 ISK

6.774 ISK237.064 ISK

338.666 ISK

101.602 ISK42,9%

54,6%1,6

1H

eidi H

aberl

1

114

438.243 ISK

8911.168 ISK

6.774 ISK456.185 ISK

531.657 ISK

75.472 ISK16,5%

21,3%1,6

1D

agm

ar Deh

ling

2

115

438.243 ISK

10413.058 ISK

6.774 ISK458.075 ISK

531.788 ISK

73.713 ISK16,1%

21,3%1,6

2M

artin S

chuhm

acher

2

21

710.674 ISK

14718.495 ISK

45.506 ISK774.675 ISK

870.090 ISK

95.415 ISK12,3%

22,4%1,9

4R

alf Guetler

2

22

355.337 ISK

22227.945 ISK

45.506 ISK428.788 ISK

435.045 ISK

6.257 ISK1,5%

22,4%1,9

9C

hristin

e Rick

enb

ach1

23

710.674 ISK

26733.615 ISK

45.506 ISK789.795 ISK

870.090 ISK

80.295 ISK10,2%

22,4%1,9

12C

hristin

a Dan

nen

berg

2

24

355.337 ISK

16220.385 ISK

45.506 ISK421.228 ISK

544.170 ISK

122.942 ISK29,2%

53,1%1,9

5Ju

tta Bein

1

25

355.337 ISK

32741.175 ISK

45.506 ISK442.018 ISK

544.170 ISK

102.152 ISK23,1%

53,1%1,9

16H

elena B

aeriswyl

1

26

355.337 ISK

16220.385 ISK

45.506 ISK421.228 ISK

544.170 ISK

122.942 ISK29,2%

53,1%1,9

5Sab

ine Ju

d1

27

438.243 ISK

16420.618 ISK

45.506 ISK504.367 ISK

579.090 ISK

74.723 ISK14,8%

32,1%1,6

6D

ieter Pö

lloth

2

28

438.243 ISK

14918.728 ISK

45.506 ISK502.477 ISK

579.090 ISK

76.613 ISK15,2%

32,1%1,6

5Stefan

Wo

lf2

29

438.243 ISK

26933.848 ISK

45.506 ISK517.597 ISK

579.090 ISK

61.493 ISK11,9%

32,1%1,6

13Sab

ine D

inkel

2

210

438.243 ISK

14918.728 ISK

45.506 ISK502.477 ISK

590.730 ISK

88.253 ISK17,6%

34,8%1,6

5W

olfg

ang K

eilbach

2

31

329.994 ISK

37847.628 ISK

45.506 ISK423.128 ISK

424.860 ISK

1.732 ISK0,4%

28,7%27

9R

ob

ert Fin

deisen

2

32

465.891 ISK

33341.958 ISK

45.506 ISK553.355 ISK

650.094 ISK

96.739 ISK17,5%

39,5%17

12T

heo

Busch

2

33

197.298 ISK

28535.910 ISK

45.506 ISK278.714 ISK

325.629 ISK

46.915 ISK16,8%

65,0%20

7H

elena K

leinert

1

34

593.640 ISK

31840.068 ISK

45.506 ISK679.214 ISK

771.150 ISK

91.936 ISK13,5%

29,9%17

11In

ga C

lausen

2

35

245.895 ISK

36646.116 ISK

45.506 ISK337.517 ISK

385.575 ISK

48.058 ISK14,2%

56,8%29

7C

hristin

e Lieb

l2

36

375.390 ISK

23729.862 ISK

45.506 ISK450.758 ISK

528.165 ISK

77.407 ISK17,2%

40,7%18

5A

do

lf Lin

k2

37

435.045 ISK

47459.724 ISK

45.506 ISK540.275 ISK

508.668 ISK

-31.607 ISK-5,9%

16,9%31

13Sim

on L

ösch

2

38

236.438 ISK

25832.508 ISK

45.506 ISK314.452 ISK

305.550 ISK

-8.902 ISK-2,8%

29,2%17

7R

üd

iger H

errman

n2

39

371.316 ISK

29737.422 ISK

45.506 ISK454.244 ISK

515.943 ISK

61.699 ISK13,6%

38,9%13

12H

eike C

ox

2

41

932.946 ISK

39349.518 ISK

45.506 ISK1.027.970 ISK

1.149.596 ISK

121.626 ISK11,8%

23,2%32

7R

ita Warten

berg

4

42

1.034.214 ISK

29136.666 ISK

45.506 ISK1.116.386 ISK

1.413.242 ISK

296.856 ISK26,6%

36,6%19

8C

hristin

a Dem

ant

6

43

558.284 ISK

51665.016 ISK

45.506 ISK668.806 ISK

833.715 ISK

164.910 ISK24,7%

49,3%39

11M

ichael R

aab2

44

632.925 ISK

33041.580 ISK

45.506 ISK720.011 ISK

791.520 ISK

71.509 ISK9,9%

25,1%20

10Irin

a Lex

1

45

488.735 ISK

31239.312 ISK

45.506 ISK573.553 ISK

646.602 ISK

73.050 ISK12,7%

32,3%13

13K

arin A

nto

n2

46

857.432 ISK

38748.762 ISK

45.506 ISK951.700 ISK

1.388.361 ISK

436.662 ISK45,9%

61,9%28

9Jo

han

nes P

irringer

4

47

710.040 ISK

57071.820 ISK

45.506 ISK827.366 ISK

908.793 ISK

81.427 ISK9,8%

28,0%25

23L

oth

ar Lissm

ann

2

48

423.987 ISK

38148.006 ISK

45.506 ISK517.499 ISK

502.266 ISK

-15.233 ISK-2,9%

18,5%24

11U

we H

uch

el2

49

357.348 ISK

28535.910 ISK

45.506 ISK438.764 ISK

598.878 ISK

160.114 ISK36,5%

67,6%15

10Ju

erg B

issegger

2

410

532.967 ISK

45056.700 ISK

45.506 ISK635.173 ISK

659.697 ISK

24.525 ISK3,9%

23,8%30

12M

artin Z

ehen

tmaier

2

411

714.114 ISK

27935.154 ISK

45.506 ISK794.774 ISK

1.067.243 ISK

272.469 ISK34,3%

49,4%16

9San

dra W

ild

4

ne

gative p

rofit e

qu

als loss

see

table

16 for

exp

lanatio

ns

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