customer satisfaction of commercial indian bank using servqual model
DESCRIPTION
Customer Satisfaction in Banking Industry using SERVQUAL ModelTRANSCRIPT
Consumer satisfaction of Commercial Indian Banks using SERVQUAL Model
1. Introduction:
The services are of complex nature and the growing prominence of the services sector has
necessitated the need for improvement in all kinds of services being provided by the banks.
Commercial banks, like other service providers, have to realize that increase in customer
retention can have a substantial impact on profit. Improvement in customer satisfaction leads to
better retention rate. This can be gained from numerous activities available to banks. (Dabholkar
et al., 1996; Fournier and Mick 1999, Meuter et al 2000).
Customer expectations of services by the banks are high at demand so customers’ expectations of
services and their actual perceptions have to be compared and examined. It is directly related
with satisfaction. Satisfied customers are very valuable for organization as they are source of
positive word of mouth, advertising about the organization and increased market share.
The role of banking industry is very important in Indian economy. India aspires to become
globally competent financial centre .The banking industry, tourism and higher education sector
are driving force for growth of the economy of Indian sub continent. The banking sector is
dominated by scheduled commercial Banks (SCBs). As far as present scenario is concerned, the
banking industry is in a transition phase. Application of modern technology in banking industry
is getting top priority. The banking service provided by commercial banks is being viewed in
recent research as one of the most sustainable untapped sources of business excellence.
Indusland Bank was the first commercial bank in India. The list of operating commercial banks
includes IDBI, ING Vyas Bank, SBI Commercial and International Bank Ltd, Dhanlakshmi
Bank Ltd, Karur Vyas Bank Ltd, Bank of Rajasthan Ltd, ICICI Bank, Kotak Mahindra, HDFC
Bank are also some commercial banks providing services to customers to some extent1.
The commercial banks have shown immense progress in providing services to the customers.
Further, increase in consumer preferences toward banking products, choosing the banks that give
them the best service quality is a matter of priority for commercial banks. As customers in India
become more educated better informed, more internalized, more conscious and as Indian
Faizan Ahmad email: [email protected]
economy becomes more and more knowledge based, the demand for high quality services
expands with increases in customers’ buying power. With increase in pay packets, consumers
have become more conscious of the quality of services. To upgrade the level of quality of service
for consumers behavior and changes in their buying behavior are being focused in recent models
discussed by Ali (2008; 2006 a; 2006 b).
This study has been done with the purpose to examine the level of service quality in Indian
commercial banking industry from the perspective of bank customers. The objectives are to
examine gap of customers’ expectations and perceptions of service quality provided by the
commercial banks in National Capital Region of India and to assess their satisfaction towards the
service quality.
The paper is structured as follows. The next section, Section 2 outlines the literature review,
while Section 3 details the objective of study. Section 4 details research methodology used in the
study. Section 5 presents data analysis and results. Section 6 presents interpretation of results and
Section 7 of this paper presents the conclusion and implication.
2. Literature Review:
The emergence of service quality and its assessment has attracted the attention of numerous
researchers in the past two decades or so. In this sense, there are two main lines of thoughts on
measuring service quality: an American and an European perspective (Kang and James, 2004).
Researchers generally adopt one of the two conceptualizations in their work suggested by Brady
and Cronin (2001). Grönroos (1984) noted that the quality of a service as perceived by customers
consists of three dimensions: functional (the process of service delivery to customers), technical
(the outcomes generated by the service to the customers), and image (how the customers view
the company). Thus the quality of the service is dependent as per those dimensions, upon two
variables: the expected service and the perceived service.
Hayes (1997) notes that the process of identifying customers' attitudes begin with determining
customers' requirements or quality dimensions. Parasuraman et al. (1985) concluded that
customers more or less make use of same criteria to assess service quality independently of the
Faizan Ahmad email: [email protected]
type of service. The SERVQUAL (Parasuraman et al., 1988), model subsequently developed by
authors (Parasuraman et al., 1991) is a two -part instrument for measuring service quality. Its use
has become quite widespread and much of research to date includes measurement of service
quality using this approach (Brown et al., 1993; Kang and James, 2004).
SERVQUAL instrument consists of a 22-item instrument for assessing service quality based on
customer's perceptions, which is the difference between the customer's perceived quality and
his/her expectation. The basis of assessing perceived quality is service quality dimensions
corresponding to the criteria used by customers when assessing service quality. Zeithan et al.
(1990) have provided non-overlapping dimensions namely: tangibles, reliability, responsiveness,
assurance and empathy. Using those 10 or 5 dimensions as the evaluation criteria the
specification of service quality becomes the gap between customers' expectations and their
perceptions (Parasuraman et al, 1985). In addition to some applications, many different types of
services have been investigated using SERVQUAL model. Examples of services are fast-food,
airlines and long distance telephone calls (Gupta and Chen, 1995), banking (Newman, 2001; Cui
et al., 2003), physiotherapy (Curry and Sinclair, 2002), web sites (Iwaarden et al., 2003), health
care (Wong, 2002; Kilbourne et al., 2004) to name but a few. Kang and James (2004) presented
the application of Grönroos' model (Grönroos, 1984) to explore the European perspective of
measuring quality of cell phone services considering other dimensions (technical and image)
besides the functional ones. In the study of Citibank by Fiebelkorn (1985 ) discovered that
overall satisfaction with Citibank is based on satisfaction with the last encounter with bank in
five main areas teller encounter, platform encounter, ATM encounter, phone encounter and
problem encounter .
3. OBJECTIVE OF THE STUDY
Based on the above background studies, the objective of this study is to identify the quality
dimensions that are most important to customers of a banking industry, and the services that are
delivered to the customers.
4. Research Methodology
Faizan Ahmad email: [email protected]
The research process involved the following steps. First, a literature review is undertaken to
identify gap benefits and customer satisfaction dimensions in commercial bank. Second, the
population and sampling procedure is established. Third, a questionnaire was constructed.
Finally, the methods of data collection and analyses are determined.
4.1 Sample data
For empirical study the population consisted of bank customers in three large Indian cities in
NCR. The representative sample was taken from branches in India in each of the city taken. Data
was collected by using a convenience sampling method. The questionnaires were administered
by personal interview in bank branches within normal banking hours. It was explained to
respondents to focus preferably on the banks they mostly use and not necessarily the one in
which the interview took place. A total of 200 questionnaires were completed keeping in mind to
cover the different demographic factors. The survey was performed in Commercial Banks of
National Capital Region of India.
SERVQUAL was adopted as the instrument to measure the gap between the customers’
expectations and their perceptions of the commercial banking industry, based on the 20 items or
attributes pertaining to service quality according to the literature (Parasuraman et al., 1985;
1988). Zeithaml et al. (1990) had used SERVQUAL for similar work it will provide evidence of
service quality for further improvement of service operation (Page Jr. and Spreng, 2002).
An instrument was developed using five service quality dimensions (tangibles, empathy,
responsiveness, assurance, reliability) having 20 questions for the purpose of reducing
questionnaire size and also for improving response rate. The answers were required to be offered
using a 5-point Likert-type scale anchored by "1–strongly satisfied" to "5– strongly dissatisfied"
based on Parasuraman et al. (1994). The previous study (Parasuraman et al., 1994) suggested that
customers have a range of expectations (named zone of tolerance) bounded by desired service–
i.e the level of service customers believe companies should deliver which is the minimum
service level customers consider acceptable. In this approach P minus E assesses the service
quality of a given dimension/question, calculated as:
QSk = Pjk - Ejk (Qi = Pi-Ei )
where:
Faizan Ahmad email: [email protected]
QSk - service quality in the dimension k
Pjk - performance perception in the dimension k to customer j
Ejk - expected performance in the dimension k to customer j
The data of the questionnaires were used as input in an electronic spreadsheet to organise data
and for further analysis of results. Statistical analysis was conducted utilizing SPSS software.
Further analysis of the results from the assessment enables to identify the opportunities of
improvement in the services provided.
4.2 Measurement tool and research Variables
This research has used the questionnaire tool to collect the opinion of bank customers to test the
qualities in the information collection based on nominal and ordinal scales (Hafeznia, 1999).
Hence, two-column format questionnaire was used to generate separate ratings of "expected" (E),
and "perceived" (P) with identical, questions customers of the banking industry, side-by-side 5-
point scales, mentioned earlier. This approach is believed to be diagnostically rich (Parasuraman
et al., 1994).
Table 1: Section of Measurement Tool
Faizan Ahmad email: [email protected]
5.
DATA ANALYSIS AND RESULTS
5.1 Reliability of Questions related to Perception
For the perception dimension of service quality, 20 questions have been designed then reliability
test gives following results.
Faizan Ahmad email: [email protected]
Sections VariablesRelated
questionsScale Form of answer
Section 1:Specifications
ofRespondents
Age 1 Ordinal Five - answer
Marital status 2 Nominal Two – answerSex 3 Nominal Two – answer
Education 4 Nominal Three – answerBanking Experience 5 Nominal Three – answer
Section 2:Perceptions of
consumers
Tangible P 1 – P 4 Ordinal Likert - 5
Empathy P 5 – P 9 Ordinal Likert – 5
Responsiveness P 10 – P 13 Ordinal Likert – 5
Assurance P 14 – P 16 Ordinal Likert – 5
Reliability P 17 – P 20 Ordinal Likert – 5
Section 3:Expectations of
consumers
Tangible E 1 – E 4 Ordinal Likert – 5
Empathy E 5 – E 9 Ordinal Likert – 5
Responsiveness E 10 – E 13 Ordinal Likert – 5
Assurance E 13 – E 16 Ordinal Likert – 5
Reliability E 17 – E 20 Ordinal Likert – 5
Table 2: Reliability Statistics
Cronbach's Alpha N of Items
.723 20
The acquired number is bigger than 0.6 (0.723). So the data can be used for the further analysis.
5.2 Reliability of Questions related to Expectation
For the perception dimension of service quality, 20 questions have been designed then reliability
test gives following results
Table 3: Reliability Statistics
Cronbach's Alpha N of Items
.697 20
The acquired number is bigger than 0.6 (0.697). So the data can be used for the further analysis.
Table 4: Demographic profile of respondents
Frequency Percentage
Age : 20-25 years 48 24
Faizan Ahmad email: [email protected]
25-35 years 62 31
35-45 years 45 22.5
45 -60 years 40 20
> 60 5 2.5
Total 200 100
Marital Status : Married 116 58
Unmarried 84 42
Total 200 100
Sex : Male 154 77
Female 46 23
Total 200 100
Education : Non-university 129 64.5
University 60 30
Post-graduate 11 5.5
Total 200 100
Banking experience : 4-9 years 122 61
9-14 years 63 31.5
Above 14 years 15 7.5
Total 200 100
Faizan Ahmad email: [email protected]
5.3 Analysis of Demographic Profiles of Respondents
The sample of bank customers consisted of more males than females. Major group is young
respondents are of age between 25 to 30 years and more than half of these respondents are
married and maximum number of respondents had non-university education with banking
experience of 4-9 years.
6. INTERPRETATION OF RESULTS
The SERVQUAL values for the five dimensions were obtained by average the respondents'
scores. This overall measure, however, does not take into account the relative importance of the
various dimensions to the customer. The overall weighted SERVQUAL score taking into
account the relative importance of the dimensions is summarized and tabulated in Table 5. This
shows the overall expectation scores of the customer are 11.8555. The overall perception scores
of the customer are 14.413.
Table 5: Weighted Expectation and Perception Scores
SERVQUAL ScorePerception
Mean
Expectation
Mean
Perception
Variance
Expectation
Variance
Gap
(P – E)
Tangible 2.525 2.527 0.031 0.716 -0.002
Empathy 2.678 2.078 0.570 0.088 0.60
Responsiveness 2.99 2.31 0.162 0.024 0.68
Assurance 3.15 2.42 0.009 0.173 0.73
Reliability 3.07 2.52 0.179 0.104 0.55
Faizan Ahmad email: [email protected]
Wei
g
hte
dOverall 14.413 11.855 2.558
The data was collected using SERVQUAL from the 200 sample for both the expectation &
perception regarding banking industry using 5- point scale with 1 (strongly agree) & 5 ( strongly
disagree). The average mean score for 5 dimensions & 20 statements of the expectation &
perception is shown in table 6. The average expectation & perception for tangible was found to
be 2.201 & 2.166 respectively. Then the service quality gap was found for each dimension &
along 20 statements using basic gap model without considering the weightage of each
dimensions. So, the service quality gaps of service dimension Tangible will be0.035 (2.201-
2.166). Similarly the gap was found for each dimension & 20 statements.
In Table 6, a positive gap indicates that customers perceived that the level of service provided by
banks did not meet their expectations. On the other hand, a negative gap indicates that customers
perceived that the level of service quality exceeded their expectations. The biggest gaps were
found in the following attributes; “Understanding the specific needs of customers” followed by
“Insist on error-free records”. Banks needs to work on this parameter most.
The overall Gap 5 score was 0.48, which indicated that, the overall service quality provided by
the commercial banks was below customers’ expectations. When we ranked the dimension
according to gap scores, we found that the biggest gap (0.624) was pertaining to assurance
followed by responsiveness (0.62), empathy (0.582), reliability (0.496) and tangibility (0.035).
Table 6: Service Quality Gap for Banking Industry
Sl.
No.Attributes
Mean
(P)
Mean
(E)
Gap
(P – E)
T-test
Sig.
Remark Rank
Tangibles 2.201 2.166 0.035 1
1 Modern-looking equipments 2.005 1.685 0.32 0 S 9
Faizan Ahmad email: [email protected]
2 Appealing physical activities 2.385 3.593 -1.208 0 S 1
3 Neat appearance of staff 2.21 1.7 0.51 0 S 11
4 Materials associated with the
service are visually appealing 2.205 1.685 0.52 0
S 12
Empathy 2.33 1.748 0.582 3
5 Individual attention given by staff
2.07 1.84 0.23 0.004 S 7
6 Convenient operating hours 1.57 1.52 0.05 0.485 NS 2
7 Staff giving customers best interest
at heart 2.1 1.96 0.14 0.052 NS
4
8 Personal attention given 2.3 1.54 0.76 0 S 14
9 Understanding the specific needs
of customers 3.61 1.88 1.73 0
S 20
Responsiveness 2.548 1.924 0.624 4
10 Staff telling customers exactly
when services will be performed 2.02 1.78 0.24 0.004 S
8
11 Prompt service 2.635 2.085 0.55 0 S 13
12 Staff willingness to help 2.765 1.865 0.9 0 S 16
13 Prompt response from staff 2.77 1.965 0.805 0 S 15
Assurance 2.76 2.082 0.678 5
14 Behaviors of staff instill 2.73 1.775 0.955 0 S 17
Faizan Ahmad email: [email protected]
Confidence
15 Customers feel safe in their
transactions 2.74 1.77 0.97 0 S
18
16 Friendliness and courtesy of staff
having knowledge to answer
questions 2.81 2.7 0.11 0.192 NS3
Reliability 2.59 2.094 0.496 2
17 Sincere interest in solving
customers’ problems2.3 2.075 0.225 0.008 S 6
18 Staff performing services right the
at time 2.185 1.82 0.365 0 S 10
19 Provide services at the time they
promise to do2.71 2.565 0.145 0.177 NS 5
20 Insist on error-free records 3.165 1.915 1.25 0 S 19
Note: E – Expectation P – Perception S= significant difference. NS= Non- Significant
difference
As we have given the ranking 1= strongly satisfied to 5= strongly dissatisfied so, lower the
difference better is. Also from Table 6, it is seen that the t test value for Pair P6 & P6, P7 & E7,
P16 & E16 and P19 & E 19 is greater than 0.05 at 95% level of significance. So the null
hypothesis in the above pairs is accepted and there is a no significant difference between the
expected and perceived. But in all the above pairs the perceived mean is greater than the
expected mean so there is need to improve in these parameters also.
Faizan Ahmad email: [email protected]
The purpose of analyzing customers’ satisfaction in this study was to confirm the degree of
satisfaction or dissatisfaction as a result of high or low service quality level. The respondents
were asked to rate statements based on their level of satisfaction; from 1 to 5 where 1 =
extremely satisfied, 2 = satisfied, 3 = neutral, 4 = dissatisfied and 5 = extremely dissatisfied. The
table showed that the mean for overall customers’ satisfaction was 3.23 and quality of service
was 3.04. This indicates that customers were slightly satisfied with the service provided by the
commercial banks in National Capital Region of India.
Table 7: Customers’ Satisfaction
Description Mean
Overall Satisfaction 3.23
Quality of Service 3.04
7. Conclusion and Implication
Customers’ perceptions are very important especially in the service industry such as the
commercial banking industry since there is high customer involvement in the delivery of the
service itself.
The result of Gap 5 analyses showed that customers’ perceptions for commercial banking
industry in National Capital Region of India were consistently lower than their expectations.
These negative gaps especially pertaining to “appealing physical facilities and convenient
operating hours,” were important to consider in terms of making improvement efforts. The
Faizan Ahmad email: [email protected]
bigger the gap, the serious the level of service quality that need to be improved, from the
customers’ point of view. As an overall, the gap score was 0.48 which was considered low.
As an overall, customers of commercial banks in NCR were slightly satisfied with the services
provided by the banks and their quality of service. However, banks should not be happy with
these findings because almost all the attributes had positive scores and these need to be improved
otherwise the gaps will widen and therefore cause serious shortfalls.
Given today’s competitive environment, and in response to the quality push and the aspiration of
the country to become globally competent, at this juncture, we believe it is appropriate for the
management of the commercial banks to seriously examine their corporate quality programs and
customer service system. In addition, they must also consider that their performance measures
now have to place a value on better responsiveness to customer needs. These measures and
changes can be expensive in terms of employee time and effort, but the management of these
banks needs to find ways to overcome these hurdles, otherwise the increasing competition from
international banks can shrink their market shares.
References:
Ali, Sadia Samar (2006 a): Consumer Response to Promotional Schemes: An Analytical
Approach, Journal of Management & Technology; 1, (1), 43-50.
Ali, Sadia Samar (2006 b): Consumer Response to Promotional Schemes: An Analytical Study;
Strategic Innovators; 1, (2), 34-44.
www.iipmthinktank.com/publications/archive/si/Strategic-Innovators-may2006.pdf -
Brady, M.K. and J.J. Croning, (2001): Some new thoughts on conceptualizing perceived service
quality: a hierarchical approach; Journal of Marketing, 65, (1), 34-49.
Brown, T.J.; G.A. Churchill, and J.P. Peter (1993): Research note: improving the measurement
of service quality. Journal of Retailing, 69, (1), 126-139.
Faizan Ahmad email: [email protected]
Cui, C.C.; B.R. Lewis, and W. Park, (2003), “Service quality measurement in the banking sector
in South Korea”, The International Journal of Bank Marketing, 21, 4/5, 191-201.
Curry, A. and E. Sinclair (2002): Assessing the quality of physiotherapy services using
SERVQUAL; International Journal of Health Care Quality Assurance, 15, 5, 197-205.
Dabholkar, P.A. and J.O. Thorpeand Rentz(1996), “A measure of service quality for retail stores:
scale development and validation”, Journal of Academy of Marketing Science, 24 (1), 3-16.
Fiebelkorn, S.L. (1985), "Retail service encounter satisfaction: model and measurement", in
Czepiel, J.A., Solomon, M.R, Suprenant, C.F, Gutman, E.G (Eds),The Service Encounter:
Managing Employee Customer Interaction in Service Business, Lexington Books,18-194.
Fournier, S. and D.G Mick. (1999), ``Rediscovering satisfaction'', Journal of Marketing, 63 (4),
5-23.
Grönroos, C. (1984): A service quality model and its marketing implications, European Journal
of Marketing; 18, 4, 36-44.
Gupta, A. and I. Chen, (1995): Service quality: implications for management development.
International Journal of Quality and Reliability Management, 12, (7), 28-35.
Hayes, B.E. (1997): Measuring customer satisfaction – survey design, use, and statistical
analysis methods. Milwaukee, WI: ASQ Quality Press.
Iwaarden, J.V.; T.V.D Wiele; L. Ball; and R. Millen, (2003) : Applying SERVQUAL to Web
sites: an exploratory study; International Journal of Quality and Reliability Management, 20, (8)
, 919-935.
Kang, G. D., James, J., Alexandris K. (2002): Measurement of internal service
quality:application of the Servqual battery to internal service quality, Managing Service Quality,
12, (5), 278-91.
Faizan Ahmad email: [email protected]
Kilbourne , W. E , J. A. A. Duffy; and T. Giarchi(2004): “ The applicability of SERVAQUAL in
Cross-national Measurements of Health Care Quality”, Journal of Service Marketing; 18(7)
524-533.
Meuter, M.L; A.L Ostrom; R.I. Roundtree; and M.J. Bitner, (2000): ``Self-service technologies:
understanding customer satisfaction with technology-based service encounters'', Journal of
Marketing, 64 (3), 50-64.
Newman, K. (2001): Interrogating SERVQUAL: a critical assessment of service banking quality
measurement in a high street retail bank; International Journal of Banking Marketing, 19, (3),
126-139.
Parasuraman, A., V. A Zeithaml. and L. L.Berry (1985): A conceptual model of services quality
and its implication for future research, Journal of Marketing, 49, ( 4), 41-50, 1.
Parasuraman, A., V. A Zeithaml. and L. L.Berry (1988) : Servqual: A multiple-item scale
formeasuring consumer perceptions of service quality, Journal of Retailing, 64, (1), 12-40.
Parasuraman, A., Berry L. L. and Zeithaml V. A.( 1991) : Refinement and Reassessment of the
SERVQUAL scale. Journal of Retailing, 67, 420-450.
Parasuraman, A., V. A Zeithaml. and L. L. Berry.( 1994, a) : Reassessment of Expectations as a
comparison standards in measuring service quality: implications for further research, Journal of
Marketing, 58, (2), 111-124.
Parasuraman, A., V. A Zeithaml. and L. L.Berry.( 1994, b) : Servqual: Alternative scales for
measuring servicec quality? A comparative assessment based on psychometric and diagnostic
criteria, Journal of Retailing, 70,( 1), 193-199.
Wang, JCH (2002) : Service quality measurement in a medical imaging department ,
International Journal of Health Care Quality Assurance, 15, ( 5) , 206-212(7)
Zeithaml, V.A., A Parasuraman, and L.L Berry (1990) Delivering quality service– balancing
customer perceptions and expectations. New York: The Free Pres
Faizan Ahmad email: [email protected]
Appendix -I
QUESTIONNAIRE
I would like to assure you that there are no rights or wrong answers and I am only interested in
your opinion. I assure you that your opinion will not be disclosed. This research is intended to
provide insight into the services provided by Commercial Banks with an understanding of the
quality of its service. Thank you for agreeing to participate.
Faizan Ahmad email: [email protected]
The research contains two parts.
Part 1 is for demographic profile. Part II tests your expectations of services expected what
actually you perceived in general from commercial banks. The whole process should take no
more than about 10 – 15 minutes. All information provided will be treated confidentially and
used solely for academic research purposes.
Section - I
1) Please specify the age group to which you belong?
a) 15-25years b) 25-35years c) 35-45years d) 45-60years e) >60years
2) Please specify your marital status?
a) Married b) Unmarried
3) Please choose option?
a) Male b) Female
4) Please specify appropriate qualification to which you belong?
a) Non-university b) University c) Post graduate
5) Please specify year of banking experience you have?
a) 4-9 years b) 10-14 years c) above 14 years
Section- II Perceived and Expected
TANGIBLE: Perceived Expected
P1 Modern looking equipments S
A
A D SDA D
A
SA A D SDA DA
Faizan Ahmad email: [email protected]
P2 Appealing physical activities
P3 Neat appearance of staff
P4 Materials associated with the
service are
Empathy:
P5 Individual attention given by staff
P6 Convenient operating hours
P7 Staff giving customers best
interest at heart
P8 Personal attention given
P9 Understanding the specific needs
of customers.
Responsiveness:
P10 Staff telling customers exactly
when services will be performed
P11 Prompt service
P12 Staff willingness to help
P13 Prompt response from staff
Assurance:
P14 Behaviors of staff instill
confidence
Faizan Ahmad email: [email protected]
P15 Customers feel safe in their
transactions
P16 Friendliness and courtesy of staff
Staff having knowledge to answer
Reliability:
P17 Sincere interest in solving
customers’ problem
P18 Staff performing services right the
first time
P19 Provide services at the time they
promise to do
P20 Insist on error-free records
Section- II
Please rate the following on 1 to 5 where 1 = extremely satisfied, 2 = satisfied, 3 = neutral, 4 =
dissatisfied and 5 = extremely dissatisfied
Overall Satisfaction
Quality of Service
Appendix-II
Faizan Ahmad email: [email protected]
Table 2a: One-Sample Statistics Sample Statistic Value (Perception)
One-Sample Statistics
200 2.01 .830 .059
200 2.39 1.026 .073
200 2.21 .747 .053
200 2.21 .772 .055
200 2.07 .811 .057
200 1.57 .740 .052
200 2.10 .730 .052
200 2.30 .851 .060
200 3.61 1.363 .096
200 2.02 .757 .054
200 2.64 1.161 .082
200 2.77 1.190 .084
200 2.77 1.168 .083
200 2.73 1.111 .079
200 2.74 1.183 .084
200 2.81 .779 .055
200 2.30 .935 .066
200 2.19 1.117 .079
200 2.71 1.040 .074
200 3.17 1.359 .096
Modern lookingequipments
Appealing physicalactivities
Neat appearance of staff
Materials associated withthe service are
Individual attention givenby staff
Convenient operatinghours
Staff giving customersbest interest at heart
Personal attention given
Understanding thespecific needs ofcustomers.
Staff telling customersexactly when services willbe performed
Prompt service
Staff willingness to help
Prompt response fromstaff
Behaviors of staff instillconfidence
Customers feel safe intheir transactions
Friendliness and courtesyof staff
Sincere interest in solvingcustomers' problem
Staff performing servicesright the first time
Provide services at thetime they promise to do
Insist on error-freerecords
N Mean Std. DeviationStd. Error
Mean
Faizan Ahmad email: [email protected]
Table 2b: One-Sample Statistics Sample Statistic Value (Expectation)
One-Sample Statistics
200 1.69 .812 .057
199 3.59 1.259 .089
200 1.70 .913 .065
200 1.69 .713 .050
200 1.84 .653 .046
200 1.52 .649 .046
200 1.96 .686 .049
200 1.54 .566 .040
200 1.88 1.145 .081
200 1.78 .771 .055
200 2.09 .939 .066
200 1.87 .812 .057
200 1.97 .915 .065
200 1.78 .847 .060
200 1.77 .742 .052
200 2.70 .924 .065
200 2.08 .907 .064
200 1.82 .781 .055
200 2.57 1.101 .078
200 1.92 1.001 .071
Modern lookingequipments
Appealing physicalactivities
Neat appearance of staff
Materials associated withthe service are
Individual attention givenby staff
Convenient operatinghours
Staff giving customersbest interest at heart
Personal attention given
Understanding thespecific needs ofcustomers.
Staff telling customersexactly when services willbe performed
Prompt service
Staff willingness to help
Prompt response fromstaff
Behaviors of staff instillconfidence
Customers feel safe intheir transactions
Friendliness and courtesyof staff
Sincere interest in solvingcustomers' problem
Staff performing servicesright the first time
Provide services at thetime they promise to do
Insist on error-freerecords
N Mean Std. DeviationStd. Error
Mean
Faizan Ahmad email: [email protected]
Table 2 c: Paired Samples Test
Paired Differences
t dfSig. (2-tailed)Mean
Std. Deviation
Std. Error Mean
95% Confidence Interval of the Difference
Lower UpperPair 1
Modern looking equipments - Modern looking equipments
.320 1.168 .083 .157 .483 3.874 199 .000
Pair 2
Appealing physical activities - Appealing physical activities
-1.206
1.518 .108 -1.418 -.994-11.204
198 .000
Pair 3
Neat appearance of staff - Neat appearance of staff
.510 1.280 .091 .332 .688 5.635 199 .000
Pair 4
Materials associated with the service are - Materials associated with the service are
.520 1.065 .075 .371 .669 6.902 199 .000
Pair 5
Individual attention given by staff - Individual attention given by staff
.230 1.111 .079 .075 .385 2.929 199 .004
Pair 6
Convenient operating hours - Convenient operating hours
.050 1.011 .072 -.091 .191 .699 199 .485
Pair 7
Staff giving customers best interest at heart - Staff giving customers best interest at heart
.140 1.003 .071 .000 .280 1.975 199 .050
Pair 8
Personal attention given - Personal attention given
.760 1.019 .072 .618 .902 10.552
199 .000
Pair 9
Understanding the specific needs of customers. - Understanding the
1.730 1.930 .136 1.461 1.999 12.675
199 .000
Faizan Ahmad email: [email protected]
specific needs of customers.
Pair 10
Staff telling customers exactly when services will be performed - Staff telling customers exactly when services will be performed
.240 1.148 .081 .080 .400 2.955 199 .004
Pair 11
Prompt service - Prompt service .550 1.575 .111 .330 .770 4.939 199 .000
Pair 12
Staff willingness to help - Staff willingness to help
.900 1.371 .097 .709 1.091 9.284 199 .000
Pair 13
Prompt response from staff - Prompt response from staff
.805 1.600 .113 .582 1.028 7.116 199 .000
Pair 14
Behaviors of staff instill confidence - Behaviors of staff instill confidence
.955 1.457 .103 .752 1.158 9.268 199 .000
Pair 15
Customers feel safe in their transactions - Customers feel safe in their transactions
.970 1.446 .102 .768 1.172 9.490 199 .000
Pair 16
Friendliness and courtesy of staff - Friendliness and courtesy of staff
.110 1.190 .084 -.056 .276 1.308 199 .192
Pair 17
Sincere interest in solving customers' problem - Sincere interest in solving customers' problem
.225 1.196 .085 .058 .392 2.659 199 .008
Pair 18
Staff performing services right the first time - Staff performing services right the first time
.365 1.404 .099 .169 .561 3.676 199 .000
Pair 19
Provide services at the time they promise to do - Provide services at the time they promise to do
.145 1.515 .107 -.066 .356 1.353 199 .177
Pair 20
Insist on error-free records - Insist on error-free records
1.250 1.753 .124 1.006 1.494 10.084
199 .000
Faizan Ahmad email: [email protected]
Faizan Ahmad email: [email protected]