influence of project monitoring on performance of

International Journal of Scientific and Technological Research

(IJSTER) ISSN: 2617-6416 2 (4) 32-45, October, 2019

Kemboi and Muchelule (2019) www.oircjournals.org

Influence of Project Monitoring on Performance of Constituency Development

Projects Funded by the National Government in Elgeyo Marakwet, County

1

David Kanda Kemboi, 2

Muchelule Yusuf

1MSc. Project Manangement Jomo Kenyatta University of

Agriculture and Technology 2Lecturer, Jomo Kenyatta University of Agriculture and

Technology

Type of the Paper: Research Paper.

Type of Review: Peer Reviewed.

Indexed in: worldwide web.

Google Scholar Citation: IJSTER

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How to Cite this Paper:

Kemboi, K. D., & Muchelule, Y. (2019). Influence of Project Monitoring on Performance of Constituency Development Projects Funded by the National Government in Elgeyo Marakwet, County. International Journal of Scientific and

Technological Research 2(4) 33-45.

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https://scholar.google.com/citations?hl=en&user=bphF0BQAAAAJ



34 | P a g e


Influence of Project Monitoring on Performance of Constituency Development Projects Funded by the National

Government in Elgeyo Marakwet, County

1

David Kanda Kemboi, 2

Muchelule Yusuf

1MSc. Project Manangement Jomo Kenyatta University of

Agriculture and Technology 2Lecturer, Jomo Kenyatta University of Agriculture and Technology

ABSTRACT

In order to enhance development in Kenya,

National Government Constituency

Development Fund NG-CDF was created to

ensure equity of development in all parts of

the country. However, cases of poor project

management have been established in

several counties. This has led to poor project

performance, where cases of NG-CDF

project delays have been established. The

general purpose of this research was to

investigate the influence of project

monitoring on performance of community

development projects. The study was guided

by the theory of change. The research design was descriptive survey and targeted population totaling to 80

respondents who are NG-CDF project stakeholders within Elgeyo Marakwet. Data was collected using

questionnaires and thereafter data analysis involved descriptive and inferential statistics. The results were

presented in graphs and frequency tables. From 80 questionnaires distributed out 65 were returned which

translated to 81.0% as the response rate. The study found out that project monitoring (β=0.287, P=0.002<0.05)

had a positive and statistically significance on performance of NG-CDF projects. Thus, the null hypotheses were

rejected and the alternative hypotheses accepted. From the predictor variable, project monitoring (β=0.287) had

the most significant influence on performance of NG-CDF projects. The study concluded that the variable factor

influenced performance of NG-CDF projects. The study recommended that all the NG-CDF stakeholders who

include project management committee, MCAs and project representatives should always be involved in project

monitoring in order to positively influence performance of NG-CDF.

Introduction

National Government [NG]-Constituency

Development Fund [CDF] is viewed as a strategic

tool that can be used to enhance development in

developing countries. It involves setting aside some

funds that can be used to undertake projects that

benefit the constituents residing in a given

constituency. The projects to be involved include but

not limited to infrastructure, health care, education

among others. Through the creation of this projects

the poverty levels in these areas have reduced as

Kenya strive to achieve the sustainable development

goals (Most & Starr, 2015). Projects management

techniques are constantly being adopted to ensure

the purpose of which the funds were created is

achieved (Jung & Wang, 2006)

In Malawi the objective of NG-CDF is to respond to

immediate, short-term community development

need and ensure that rural development spreads

evenly throughout the country this has been viewed

to enhance equity and speed up the rate of

development for the county to be able compete with

other countries in Africa. The goal of NG-CDF in

Uganda was to address poverty at the lower levels of

administration, where other government poverty

reduction policies have not been able to succeed. In

Jamaica the key principle of NG-CDF is to promote

human and infrastructure development at the

community and constituency levels (Cheol, 2014).

In order for the enhance development among

communities then the need of ensuring project

implemented is a success

The most critical aspect that ensure projects odd of

success is increased is through involving the

community as a key stakeholder at every aspect of

project development. In Africa most of the countries

ARTICLE INFO

Received 4th

October, 2019

Received in Revised Form 12th

October

2019

Accepted 13th

October, 2019

Published online 14th

October, 2019

Key Words: project, monitoring,

performance, funding, government.




35 | P a g e


have adopted this technique to reduce conflict that

my result when a given party feel left and in the long

run leads to project abandonment or delay in its

implementation. Successful project implementation

as had positive effect in social and economic

development in the communities. The need for

efficiency and effectiveness in how projects

operation is undertaken has been a call that most

African leaders have always advocated for (DFID,

2002).

NG-CDF funds were introduced in the early 2000 by

the national government; the funds were to be

distributed countrywide through the constituencies

in Kenya to empower the community through

development of sustainable projects and equitable

sharing of natural resources (Gathoni, 2016). To

date there are close to 90,000 projects that are

funded by the Kenyan government countrywide to a

tune of circa Kshs 193 billion. The funds have been

used to undertake projects such as construction of

schools, dams, health care centers. Through such

projects there has been improved literacy level,

access of healthcare and creation of formal and

informal jobs in the grassroots (Gathoni, 2016).

However, poor project governance has been

established to be a major concern especially

misappropriation of funds. For instance, in several

counties such as Bungoma, Nairobi and Kiambu

corruption ln NG-CDF project has been pointed out,

this a s led to stall of projects, students dropping out

from schools due to lack of school fees. Although

the funds were to increase the rate of development

and enhance holistic involvement of all the

stakeholders including the members of the

community in across the entire project life cycle in

some regions there isn’t been much to show off due

to wastage of funds (Owuoth, 2011). Some projects

have been initiated without the knowledge of all the

stakeholders. It’s only after the project stall or when

they are of poor quality that the implementers decry

of misappropriation and stakeholders start to tread

acquisition. This has been an issue that has been

reported in several constituencies especially when

the auditor’s report on how the NG-CDF funds are

used is released (Kioko, 2012)

Project Monitoring

Project monitoring is critical for successful

implementation of NG-CDF projects. Project

monitoring is an approach used in projects planning

and management to bring all the project stakeholders

on board (Swanepoel & De Beer, 2006). In projects

there are diverse interests that each person or party

wants from the project. Monitoring is a process were

individual organize their actions and activities and

then utilizes it effectively to undertake and control a

given task. The aspect of decision making is also

critical and all the participants are involved to ensure

a sound decision is made and they are also met to be

liable for the consequences that may result (Oloo,

2006). In the field of project monitoring, the major

activities involved include decision making, public

participation through attending public meetings and

hearings, to rise and budget funds for community

projects. It is important for every stakeholder to

participate in implementing the project to ensure

resources are well utilized and the project goal is

achieved. In view of these, despite the expanded

range definitions, realizing effective project

monitoring remains a challenge (Kamuiru, 2014).

According to Nyaguthii and Oyugi, (2013), the

major challenge in project monitoring is ensuring

there is total controlling which has negatively

affected the execution of projects leading to delays

and cost overruns. On the other hand, Oyalo (2015)

views project monitoring as theoretical and not

easily demonstrated and therefore the question is

how to practically involve the community in

projects. Modern development scholars have been

encouraging public inclusion in projects that they

have an interest. This way they will feel to be part of

the process in offering solutions to their needs. In

line with this approach when all parties participate

in projects being implemented in their areas.

Elgeyo Marakwet

Elgeyo-Marakwet County is a county in Kenya, and

is composed of 5 constituencies and a further 20

wards as per the 2013 Elgeyo Marakwet County

development profile, it is estimated that about 58%

of the population live below the poverty line

(Lubale, 2012). The government, initially were

committed to provide funds through NG-CDF

program for development purposes. However,

changes have taken place from centralization to

devolution of funds at the county level; counties are

now expected to run their development

(Transparency International, 2016). In Elgeyo

Marakwet County challenges that observed in

projects implementation include delay in project

completion, inflated project cost and poor work

quality in projects.

It has been further noted that projects sometimes

delay for over one year, due to delays in projects

release of funds and inadequate in quality personnel

to undertake some of the projects which has been

linked to poor quality for examples in road

construction. In order to effectively utilized NG-

CDF funds in the 4 constituencies that is Marakwet

East and West, Keiyo North and South

constituencies then it’s important that the




36 | P a g e


community are involved from the first step that is

idea generation; the community should also be

engaged in project control process of NG-CDF

projects.

Statement of the Problem

NG-CDF program is funded by the national

government and it constitutes to about 2.5% of the

national revenue though the allocation is set to be

increased. The fund is shared among all the

constituencies countrywide using a described

methodology. The fund is to be used to undertake

projects such roads, schools, dams and bridges at the

constituencies to improve the welfare of the citizen.

This is through improving infrastructure to facilitate

movement of goods and people, increased

agricultural production and raise the level and

quality of school structures in the county

(Wanambisi, 2017). In Elgeyo Marakwet County

NG-CDF projects faces challenges which have

negatively affected projects implementation due to

inadequate technical capacity, challenges of

inclusivity in project monitoring and undertaking

many projects at a go. For instance, NG-CDF 2015-

2016 report indicated in Marakwet East, 115

projects were proposed, out of which 20 were

completed, 34 partially completed and 61 not

funded. In Marakwet west, 126 projects were

funded, out of these 79 were completed, 43 were

partially completed and 4 not started. In Keiyo

North, 71 projects were proposed, out of which 22

were completed, 37 partially completed and 12 not

initiated. Keiyo South, 146 projects were proposed,

out of these 63 were completed, 62 partially

completed and 21 not initiated (Office of the

Auditors General, 2016). Therefore, it’s worth

examining previous challenges as well as quality

and delays of NG-CDF projects in Marakwet East,

Marakwet West, Keiyo North and Keiyo South

constituencies’ that have led to waste of public

resources and slow down the rate of development

due to lack of proper project monitoring in their

projects. Hence, this study is conducted in Elgeyo

Marakwet by examining the influence of project

monitoring on the performance of constituency

development funded projects in Kenya.

Objective of the Study

The objective of the study was to examine the

influence of project monitoring on performance of

constituency development projects funded by the

national government in Elgeyo Marakwet County.

Research Hypothesis

H01: There is no significant influence of project

monitoring on performance of constituency

development projects funded by the national

government in Elgeyo Marakwet County.

Theoretical Review

The study was guided by the Theory of Change.

The Theory of Change Theory

Theory of change was popularized by Carol Weiss

in 1995, who observed that projects in some

instances might be challenging to control. The

theory of change is an approach that explains how

an activity is executed to achieve the define project

goal. Adopting this theory is critical in ensuring that

the project implementation is gearing towards

success and not failure and thus improves project

quality. It also helps in identifying which activity or

intervention is not adding value to attaining the

project goal. It’s possible to generate a causal effect

relationship which can then be documented for

future review (Ika, 2009).

In case where participatory approach is adopted all

the parties will be in a position to will have a

concrete plan and coordination towards attaining the

desired outcome. Theory of Change is integrated and

applied into the various phases in the project life

cycle project and can be used to support decision-

making across the different project activities. There

is need to recognize how change processes shape

how a project will be implemented and adjust

practice appropriately to ensure the odds of attaining

project goal is increased by constantly monitoring

and evaluation (Reeler, 2007).

Empirical Review

This section involved the review of relevant

literature from other researchers in relation to the

variables under study that is project monitoring.

Project Monitoring and Performance of NG-

CDF Projects

Migwi (2018) investigated how engaging

community in the project life cycle affected

sustainability of community projects. Specifically,

the research focused on three stages that are project

designing, implementation and M&E. The research

adopted a case study approach and questionnaires

were used to collect data from 200 respondents who

had engaged in community projects sponsored by

JKUAT. It determined low community engagement

in project development especially in the project

monitoring. The findings are also similar in the

project implementation phase. In project monitoring

stage when the indicators were being identified the

community were not involved hence no affected the

monitoring process. The study focused on university

funded project and therefore it can be adapted to test

CDF projects.

Sulemana, Musah and Simon (2018) investigated

how participatory Monitoring and Evaluation

influenced project implementation in Kenya. Ex-

post-facto design was employed and the research




37 | P a g e


primary data was collected from the targeted 1260

LASDAP project committee members. The research

established that participatory monitoring and

evaluation influence LASDAP project process. It

also established that the project quality was

significantly improved through effective

stakeholder relationships. Engaging all project

stakeholders in M and E positively influenced

project governance through accountability and

increased level of transparency. The study

recommended the need to have sound monitoring

structures while undertaking their projects.

Research investigated the effect of monitoring and

evaluation on project performance. The study was

conducted in the lake basin region, Kenya. The study

involved 41 road projects. After analysis of data

collected it was concluded that project monitoring

and evaluation had a positive and significant effect

on performance of road projects. Frequency in

undertaking monitoring and evaluation activity, use

of qualified personnel and provision of enough

funds are factors which positively influence project

performance. The study however did not specifically

address roads under CDF projects but roads projects

within the county

Performance of National Government

Community Development projects

Das and Ngacho (2017) assessed the critical success

factors and their effect on project performance in

Kenya. The study employed a case study approach

where CDF projects implemented between the years

2003-2011 were selected for the study. The study

interviewed 175 respondents who included project

consultants, project contractors. 30 success factors

that were identified as critical were considered. The

results indicated that critical success factors relating

to the project were most significant factors that

influence CDF project performance. The study

however, considered sampled projects in the entire

country and therefore future research should

consider the individual constituency.

Frodell, Per‐Erik and Goran (2008) assessed project

success factors and project performance measure.

They considered the views of Swedish construction

practitioners particularly the professional clients

whom their firms were involved in executing

projects. From the client firms 23 expert individuals

were selected as the respondents and they were

interviewed. The study findings point out that

stakeholder’s participation, project commitment and

project quality, were major consideration among the

project practitioners that they deemed were

important while undertaking project performance

measure. Furthermore, when measuring project

performance then simplicity and credibility of

results are critical. These factors can be tested in

other studies to ascertain if they are critical in

measuring project performance.

Ikediashi and Ogwueleka (2016) investigated the

role of ICT and how they impact project

performance in Nigeria construction industry. The

study adopted survey design and questionnaires used

to collect data from 148 respondents. The findings

pointed out that quality and cost were the critical

factors that determined project overall performance.

The study however used that dependent variable that

is performance of construction projects as a single

point and therefore future research should explore

that use of structural equation modelling (SEM) and

consider time performance, cost performance and

quality performance.

Willar (2017) studied to develop the characteristics

for evaluating project performance in the

construction industry in Indonesia. A survey was

undertaken in 5 provinces where 216 project

practitioners were selected all who were in the

construction industry. While ranking the factors on

concern while evaluating project performance in

Indonesia; project quality, project owners, end users,

project team satisfaction were the most significant

characteristics. The study was limited to the factors

understudy. Therefore, it poses a challenge of

generalization and future studies need to include

more factors.

Conceptual Framework

The relationship between the variable that is

dependent and the independent variables is as

presented in the conceptual framework in Figure 1

Independent Variable Dependent Variable

Figure 1 Conceptual Framework

Research Methodology

Research Design

A research design is a systematic approach for

collection and analysis of data. Specifically, it

Project Monitoring

Resources review

Resource tracking

Report project status

Performance of Constituency

Development Project

On time

On Budget

Quality

Stakeholders satisfaction




38 | P a g e


describes how to conduct a scientific study (Kothari,

2011). The study adopted descriptive-correlational

research design to establish the associations among

the key study variables with the intent of

generalizing from a sample to a population

(Creswell, 2014). This involves gathering of data at

a particular point in time with the intention of

describing the nature of existing conditions

(Creswell, 2014).

Target Population

Target population is a more narrowly defined and

manageable population that the researcher is

interested in or the sample can be drawn from (Yin,

2013). The study population for this study

constituted 80 respondents who included 60 project

management committee executive members and 20

members of county assembly in the 4 constituencies

in Elgeyo Marakwet County. The target population

is shown in Table 1.

Table 1 Target Population

Constituenci

es

Project

management

Committee

Member of County

Assembly (MCAs)

Marakwet

East

Marakwet

West

Keiyo North

Keiyo South

Total

15

15

15

15

60

4

6

4

6

20

Source: Elgeyo Marakwet Public Service Board

(2018)

Sampling Technique

Mugenda and Mugenda (2003) describes sampling

frame as a list of cases from which a sample can be

selected from. Muchelule et al., (2017) opines that

sampling is selection of some items that are as

representative as possible to give a small section of

all items making up a population in a field of study.

In conclusion, sampling technique is a detailed plan

indicating how a respondent is selected for the

purpose of interviewing. Census was used in this

study as a sampling technique, census involves

studying the all the individual elements in the entire

population. Census was adopted since the study

population was small and therefore all the

respondents can be accessed within the time frame

(Kothari, 2011).

Research Instrument

Data from the respondents was collected using

questionnaire. The questionnaires were used to

collect data from project management committee

members’ and the members of county assembly

questionnaires. Questionnaire is a data collection

tool with a set of questions containing open and or

closed questions. The respondents are asked to

answer the questions by filling their responses

(Patton, 2002). The questions were framed in such a

way that they were in line with the variables and the

researcher personally collected the data with the

help of two research assistants.

Data Collection Procedure

Authorization to undertake data collection from the

respondents was sought before data collection. As

proposed by Cooper and Schindler (2006), it is

ethical to seek permission when conducting

scientific studies. Relevant stakeholders that were

involved in this study were given prior notice about

objective of this study and guaranteed their

confidentiality. The questionnaires were self-

administered to the respondents by the researcher

and his two assistants. The questionnaire was

designed based on the deductive arguments of the

theories discussed in the literature review.

Pilot Study

Pre-testing of the research instruments was done in

neighboring County (Uasin Gishu) selected by

random sampling. This sample was convenient in

respect to available time and resources. The

instrument was tested for their validity and

reliability on eliciting relevant information on the

research objectives. According to Allan (2003), a

sample of between 10% is adequate for a pilot study

in a research study.

Validity of the Research Instrument

Validity in relation to research instrument is defined

as the degree to which the research tool measures

exactly what it is meant to measure (Saunders,

Lewis & Thornhill, 2009). According to Cohen et

al., (2007), there are two types of validity; internal

and external validity. Internal validity comprises

face, content, construct and criterion validity while

external validity refers to the precision of how the

findings from a research can be generalized. Face

validity was established through the review of

literature on the variables being studied to determine

their appropriateness. On the other hand, how a

research tool well addresses the variables under

study is referred to as content validity. An

instrument with a high content validity is usually

preferred due to its consistency with the subject

being tested (Saunders, Lewis & Thornhill, 2009).

Through literature review, this research was able to

confirm that variables under study are adequately

covered. The researcher constructed the

questionnaires with guidance from research

supervisors to ensure content and face validity are

addressed.

Reliability of the research instrument




39 | P a g e


The stability of research tool and how consistent it

is in data collection refers to as instrument reliability

(Kombo & Tromp, 2008). A reliability level is

acceptable at 0.7. To test how reliable the research

instrument is piloting was conducted in two wards in

Uasin Gishu County and the data collected tested for

reliability. Further, the researcher computed the

Cronbach alpha internal consistency coefficient.

This coefficient allows for the assessment of

consistency of research items in measuring the

research variables.

Data Processing and Analysis

After collecting and screening the data from the

field, they were coded and data analysis conduct

using Statistical Package for Social Sciences (SPSS)

software. Descriptive statistics which included,

frequency distributions, measures of central

tendencies such as means and standard deviations

and percentages all was used to analyze key

assessment variables. Inferentially the correlation

and multiple regression models was used to provide

the most accurate interpretation of the variables with

ANOVA from regression showing the goodness of

the fit of the model and Pearson correlation helped

to check correlation of different variables being

studied. The multiple regression model in Equation

1 was used estimate the causal relationships between

variables.

Y= β0+β1X1+Ԑ……………..…………...Equation 1

Where: X1 represents project monitoring

Y represents the dependent variable (performance)

β represents beta, Ԑ represents error term.

The analyzed data was then presented in form of

tables, charts, graphs.

Research Findings and Discussions

Response Rate

From the census a total of 80 questionnaires were

distributed, out of which 65 were returned

translating to 81.0% as the response rate. The high

response rate was attributed to the fact that the

researcher made several follow up visits. The 81.3%

response rate was sufficient to draw conclusions

from the study population. According to Mugenda

and Mugenda (2009), a response rate of 70% is

excellent and thus can be used to make conclusion

about the study population. From Table 2, project

management committee had a high response rate of

85.0% followed by ward MCA response rates at

70.0%.

Table 2 Response Rate

Questionnair

e Distributed

Questio

nnaires

Return

ed

Respo

nse

Rate

Project

management

committee

60 51 85.0

MCA’s 20 14 70.0

Total 80 65 81.3

Reliability Test Results

Table 3 presents the reliability test results using

Cronbach alpha. Project monitoring had Alpha value

of 0.80. According to Bush (2007) alpha value is

acceptable at 0.7. Reliability test allows for the

assessment of consistency of research items in

measuring the research variables (Kombo & Tromp,

2008).

Table 3 Reliability Test Results

Variable Cronbach’s

Alpha

No. of

Items

Decision

Project

monitoring

0.80 5 Reliable

Background Information

The major attributes that were considered to be of

importance to this study were gender, period worked

in NG-CDF projects, education level, NG-CDF

projects and Knowledge on NG-CDF projects.

Gender of the Respondents

The respondents were asked to indicate their gender

and the results were as presented in Table 4

Table 4 Gender of the Respondents

Table 4 indicates majority 49(75.4%) were male

compared to 16(24.6%) female. This point out to

low number of females involved in participation of

NG-CDF project, which might negatively affect the

performance of NG-CDF projects the needs of the

female gender might not be well addressed. This

concurs with Thwala (2010) study that pointed out

there is little involvement of women in project

monitoring program.

Period Worked in NG-CDF Project

The respondents were asked to indicate the number

of years that they have worked in NG-CDF projects.

The result is as presented in Table 5.

Table 5 Period worked in NG-CDF Project

Number of years

Frequency Percent Less than 1 year 7 10.8

1-2 years 37 56.9

3-5 years 17 26.2

More than 5 years 4 6.2

Frequency

Percen

t

Male 49 75.4

Female 16 24.6

Total 65 100.0




40 | P a g e


Total 65 100.0

Table 5 indicates majority of the respondent

37(56.9%) have worked between 1-2 years. While

17(26.2%) have worked between 3-5 years,

7(10.8%) have worked for less than 1 years and

4(6.2%) have worked for more than 5 years.

According to Wamugu and Ogollah (2017) study it

was established that working in NG-CDF projects

was to a larger extend political influenced and thus

working period was largely influenced by the

political class

Level of Education

To establish the educational background of the

respondents they were asked to indicate their level

of education. The results were presented in Table 6.

Table 6 Level of Education Level of Education Frequency Percent Certificate 4 6.2 Diploma 15 23.1

Undergraduate 40 61.5

Postgraduate 6 9.2

Total 65 100.0

Table 6 indicates that holders of certificate are

4(6.2%); diploma 15(23.1%); undergraduate

40(61.5%) and post graduate 6(9.2%). It was

important to ascertain the level of education of the

project management committee, MCA’s and ward

representatives since it contributes to a larger extend

on one’s understanding on the various aspects of

project performance. All the respondents had been

educated to a given level thus they could

communicate effectively and thus the results of the

study is quite objective.

Projects Undertaken

From literature reviewed it was established that the

commonly projects undertaken by NG-CDF include

roads, schools, dams and health centers. The study

sought to further establish which projects are

undertaken in their respective areas. The result is as

presented in Table 7.

Table 7 Projects Undertaken Project Undertaken Frequency Percent

Roads 22 33.8

Schools 33 50.7 Dams 4 6.2 Health centers 6 9.2

Total 65 100.0

Table 7 which shows that schools projects are

commonly implemented NG-CDF project as pointed

out by 33(50.7%) of the respondent followed by

roads at 22(33.8%), health centers at 6(9.2%) and

dams at 4(6.2%). This shows that most projects

undertaken using NG-CDF in Elgeyo Markwet

County are schools’ projects. Wamugu and Ogollah

(2017) argued that CDF project priorities varies

from constituency to constituency and is largely

influenced by the needs of the people.

Knowledge on NG-CDF

In order to establish the understanding of the

respondent on NG-CDF projects, the study sought to

find out their knowledge on NG-CDF. The results

are as indicated in table 8.

Table 8 Knowledge on NG-CDF Knowledge

on NG-CDF

Frequency Percent

Little extent 4 6.2

moderate extent

44 67.7

Great extent 17 26.2

Total 65 100.0

Table 8 reveals the results which indicated that

44(67.7%) understood NG-CDF moderately, while

17(26.2%) and 4(6.2%) understood NG-CDF

operations to a great and little extend respectively.

Therefore, this shows that majority have the required

knowledge to make relevant decision. For instance,

Thwala (2010) noted that project monitoring should

be the objective of development. But most

importantly all stakeholders should be involved in

making rational decisions which demands the

knowledge and understanding necessary to make

such correct decisions

Descriptive Statistics on the Variable

This section presents the descriptive statistics on the

variables studied which include frequency,

percentage, mean and standard deviation. The

variable was project monitoring and performance of

NG-CDF.

Project Monitoring and Performance of NG-

CDF Projects

The first objective was to establish the influence of

project monitoring on performance of constituency


government in Elgeyo Marakwet County, Kenya.

The respondents were provided with statements

project monitoring to rate in a 5-point Likert scale.

The result is presented in Table 9.

Table 9 Project Monitoring and Performance of NG-CDF Projects

N Statements SD D U A SA Mean Std. Dev

1 Community members participate

in reviewing project resources.

F 5 42 5 10 3 2.444 1.000

% 7.7 64.6 7.7 15.4 4.6

2 F 5 40 6 10 4 2.506 1.026




41 | P a g e


Community members are involved

in tracking the use project

resources

% 7.7 61.5 9.2 15.4 6.1

3 The community is provided with

project status report to enhance

project quality

F 5 11 5 40 4 3.555 1.072

% 7.7 16.9 7.7 61.5 6.1

4 There is efficiency in the project

monitoring process

F 3 12 0 44 6 3.630 1.030

% 4.6 18.5 0.0 67.7 9.2

5 Recommendations from

monitoring reports are usually

adopted

F 4 5 43 9 4 2.619 1.026

% 6.1 7.7 66.2 13.8 6.1

From Table 9, 47(72.3%) respondents disagreed that

community members participate in reviewing

project resources to ensure projects are on budget at

(Mean=2.444, Std. Dev=1.000). Furthermore

45(69.2%) respondents who disagreed that

community members are involved in tracking

project resources to ensure project are completed on

time at (Mean=2.506, Std. Dev=1.026). However,

44(67.6%) disagreed that community members are

provided with project status report to enhance

project quality at (Mean=3.555, Std. Dev=1.072).

These findings concur with Wamugu and Ogollah

(2017) research established that projects screening

and identification were critical activities that

required stakeholder’s participation in order to

improve project performance.

However, access to relevant data among the

stakeholder pose a challenge in successful

participation. In respect to whether there is

efficiency in the project monitoring process to meet

stakeholders need 50(76.1%) respondents agreed at

(Mean=3.630, Std. Dev=1.030). Therefore, an

efficient monitoring process is important while

undertaking NG-CDF projects. For instance,

Kerzner (2017) established that project quality was

significantly improved through effective

stakeholder relationships. The study further pointed

out that engaging all project stakeholders in project

monitoring positively influenced project governance

through accountability and increased level of

transparency. Surprisingly 43(66.2%) respondents

were undecided as to whether recommendations

from monitoring reports are usually adopted to

improve quality of future projects at (Mean=2.619,

Std. Dev=1.026). project monitoring is an important

process as pointed out in the theory of change that

explains how an activity is executed to achieve the

define project goal.

Performance of NG-CDF Projects

The respondents were provided with statements

project monitoring to rate in a 5-point Likert scale.

The aim was to understand performance of

constituency development projects funded by the

national government in Elgeyo Marakwet County,

Kenya. The result is presented in Table 10.

Table 10 Performance of NG-CDF Projects

N Statements SD D U A SA Mean Std. Dev

1 The NG-CDF projects are

usually completed on budget

F 5 41 5 10 4 2.568 1.059

% 7.7 63.1 7.7 15.4 6.2


usually completed on time

F 7 41 3 9 4 2.420 1.059

% 10.8 63.1 4.6 13.8 6.2


usually of the expected quality

F 4 7 9 39 6 3.593 1.010

% 6.2 10.8 13.8 60.0 9.2


usually completed to the

community expectation

F 5 12 7 32 9 3.470 1.105

% 7.7 18.5 10.8 42.2 13.8

5 Community members are

involved in identifying project

performance indicators for NG-

CDF

F 6 34 7 14 4 2.630 1.117

% 9.2 52.3 10.8 21.5 6.2

From Table 10, 46(70.1%) respondents disagreed

that NG-CDF projects are usually completed on

budget at (Mean=2.568, Std. Dev=1.059). Similarly,

48(73.9%) disagree that NG-CDF projects are

usually completed on time at (Mean=2.420, Std.

Dev=1.059). In respect to completion of NG-CDF

projects to the expected quality 51(76.1%)

respondents agreed to the statement at (Mean=3.593,




42 | P a g e


Std. Dev=1.010). It has been established that NG-

CDF projects are usually completed to meet the

expected standards. Though they usually delay and

overrun the budget. However, Ikediashi and

Ogwueleka (2016) opined that that quality and cost

are the critical factors that determined project

overall performance.

Therefore, majority of NG-CDF projects might be a

success in one aspect and failed in another aspect.50

(61.7%) respondents agree that NG-CDF projects

are usually completed to the community expectation

at (Mean=3.470, Std. Dev=1.105). This concurs

with Muchelule (2018). Study observed that

projects sometimes delay for over a year, due to

delays in release of projects funds and inadequate in

quality personnel to undertake some of the projects

which has been linked to poor quality for examples

in road construction. Subsequently 40(61.5%)

respondents disagreed that community members are

involved in identifying project performance

indicators for NG-CDF projects at (Mean=2.630,

Std. Dev=1.117). The finding concurs with

Muchelule (2018). Investigation which established

improved project quality was positively improved

through effective stakeholder relationship.

Similarly, Migwi and Atikiya (2017) study

determined low community engagement in project

development especially in identifying key project

success indicators.

Inferential Analysis

Results of the correlation and multiple regression

analysis were presented in this section and in line

with the specific objectives of this study.

Overall Correlation Analysis

Correlation analysis was undertaken to determine

whether there was a significant relationship between

the variables. Pearson’s product moment of

correlation (r) was used to assess the direction and

strength of the relationship between the variables.

The correlation coefficient values usually lie

between +1 and -1. +1 indicates perfectly positively

relationship and is linear whereas -1 indicates

perfectly association between the variables but in a

negative linear manner. Table 10, indicates the

results of the correlation analysis, were the

correlation between the correlation between project

monitoring and performance of NG-CDF projects

was positive and significant (r=0.890, p=0.01).

Table 11 Correlation Coefficient Matrix

PM Performan

ce of NG-

CDF

Project

Monitoring

Pearson

Correlation

Sig. (2-

tailed)

1

Performan

ce of NG-

CDF

Pearson

Correlation

Sig. (2-

tailed)

.890**

.000

1

**correlation is significant at 0.01 level (2-tailed).

Where PM represents project Monitoring

Regression Coefficient Analysis

Table 12 presents the coefficients from the multiple regression analysis

Table 12 Regression Coefficient

Unstandardized coefficients Standardized

coefficients

B Std. Error Beta t Sig.

(constant) .445 .345 2.410 .018

Project monitoring .287 .058 .367 4.823 .002

Dependent variable: Performance of NG-CDF

Table 12, indicates variables are included in the

regression equation to form the multiple regression

model depicted in Equation 2.

Y=0.445+ 0.287X1+Ԑ…………………..Equation 2

Where: X1 represents Project that when the predictor

variable is zero then performance of NG-CDF will

be at 0.445 units. Project monitoring has a positive

and statistically significance on performance of NG-

CDF (β=0.287, p=0.002). The coefficient 0.287

implies increasing in project performance by one

unit increases performance NG-CDF by 0.287 units.

The findings are in agreement with Mbucho and

Senaji (2015) research where project monitoring

was established to have an effect on project

performance at (β=0.875, p=0.000). The project

monitoring has the most significant influence on

performance of NG-CDF. The coefficient 0.287

implies a unit increase in project monitoring results

to 0.287 increases in performance of NG-CDF.

Therefore, when implementing NG-CDF projects

the project stakeholders need to concentrate more on

project monitoring. The finding from this research

concurs with Nyandika and Ngugi (2014) study that

establish project monitoring had significant effect on

performance of construction projects at 𝑥2=15.54

and p=0.001<0.05 at 0.05 significance level.




43 | P a g e


Similarly, Maendo, Rosemary and Kamau (2017)

research concluded that project monitoring and

evaluation had a positive and significant effect on

performance of road projects. Finally, the predictor

monitoring

Y represents the dependent variable (performance)

Ԑ represents error term.

Summary, Conclusions and Recommendations

Influence of Project Monitoring on Performance

of NG-CDF Projects

The fourth objective of this study was to establish

the influence of project monitoring on performance

of constituency development projects funded by the

national government in Elgeyo Marakwet County,

Kenya. Project monitoring was measured by

reviewing project monitoring in resource review,

resource tracking and status report. The study

findings indicate that project monitoring is a

significant predictor of performance of NG-CDF.

Therefore, the null hypothesis: There is no

statistically significant influence of project

monitoring on performance of constituency


government in Elgeyo Marakwet County, Kenya

was rejected.

Conclusions of the Study

The study concluded that there is a statistically

significant influence of project monitoring on

performance of constituency development projects

funded by the national government in Elgeyo

Marakwet County, Kenya. However, the respondent

pointed out that there was minimal participation of

the community in reviewing project resources and in

tracking project resources. The community members

are provided with project status report though not on

time while having and were not sure if

recommendations from the monitoring reports are

usually adopted to improve quality of future.

Recommendations of the Study

From the findings, the study recommends that all the

NG-CDF stakeholders who include project

management committee, MCAs and project

representatives who represents the community

should always be involved in project monitoring in

order to positively influence performance of NG-

CDF.

Reference

Alin, A. (2010). Multicollinearity. Wiley

Interdisciplinary Reviews: Computational

Statistics, 2(3), 370-374.

Allan, J., Carbonell, J. G., Doddington, G., Yamron,

J., & Yang, Y. (2003). Topic detection and

tracking. Pilot study final report 34(1-3),

177-210.

Bush, T. (2007). Authenticity in research–reliability,

validity and triangulation. Research

methods in educational leadership and

management, 9(1), 93-107.

Cheol, L. I. U. (2014, June). The impact of

corruption on government performance:

evidence from US state governments.

In PMRC 2014.

Cooper, D. R., Schindler, P. S., & Sun, J.

(2006). Business research methods (Vol.

9). New York: McGraw-Hill Irwin.

Creswell, J.W., (2003). Research Design:

Qualitative, Quantitative and Mixed

Methods (2nd Ed.). UK: Sage Publications.

Das, D., & Ngacho, C. (2017). Critical success

factors influencing the performance of

development projects: An empirical study

of Constituency Development Fund

projects in Kenya. IIMB management

review, 29(4), 276-293.

DFID, E. UNDP and The World Bank 2002 Linking

Poverty Reduction and Environmental

Management–Policy Challenges and

Opportunities. World Bank, Washington.

Frödell, M., Per‐Erik, J., & Göran, L. (2008).

Swedish Construction Clients' Views

on Project Success and Measuring

Performance. Journal of Engineering,

Design and Technology, 6(1), 21-32.

Gathoni, J., & Ngugi, K. (2016). Drivers of effective

project performance in national

government constituency development

funded projects in Kiambu County,

Kenya. International Academic Journal of

Human Resource and Business

Administration, 2(2), 22-40.

Gujarati, D. N. (2003). Basic Econometrics. 4th ed.

New York: McGraw-Hill.

Ika, L. A. (2009). Project success as a topic in

project management journals. Project

Management Journal, 40(4), 6-19.

Ika, L. A., Diallo, A. & Thuillier, D., (2012). Critical

Success Factors. International Journal of

Project Management, 30 (2), 105-116.

Ikediashi, D. I., & Ogwueleka, A. C. (2016).

Assessing the use of ICT systems and their

impact on construction project

performance in the Nigerian construction

industry. Journal of Engineering, Design

and Technology, 14(2), 252-276.

Jung, J. Y., & Wang, Y. J. (2006). Relationship

between total quality management (TQM)




44 | P a g e


and continuous improvement of

international project management

(CIIPM). Technovation, 26(5-6), 716-722.

Kamau, J. K., Rotich, G. & Anyango, W. (2017).

Effect of Budgeting Process on Budget

Performance of State Corporations in

Kenya. International Academic Journal of

Human Resource and Business

Administration, 2(3), 255-281.

Kamuiru, J. K. (2014). Factors Influencing

Community Participation in Project

Planning in Kenya. A Case Study of

Mbucana Water Dam Project, Kiambu

County. Strategic Journal of Business &

Change Management, 1(2). Retrieved from

http://www.strategicjournals.com/index.ph

p/journal/article/view/51

Kerzner, H. (2017). Project management metrics,

KPIs, and dashboards: a guide to

measuring and monitoring project

performance. John Wiley & Sons.

Kimenyi, M. S. (2005). Efficiency and efficacy of

Kenya‟s constituency development fund:

Theory and evidence. Economics Working

Papers, 200542

Kioko, S. N.Johnson, C. L., & Hildreth, W. B.

(2012). Government‐wide financial

statements and credit risk. Public

Budgeting & Finance, 32(1), 80-104.

Kombo, D. K., & Tromp, D. L. A. (2008). Proposal

and thesis writing: An introduction (4th

reprint). Nairobi: Pauline’s Publications

Africa.

Lubale, G. (2012). An Introduction to the County

Governments of Kenya. Retrieved

https//www.gabriellubale.com

Mack, N. (2005). Qualitative research methods: A

data collector’s field guide. California.

Sage publications

Maendo, D.O., Rosemary J., & Kamau, L. (2017).

Effect of Project M and E on Performance

of Road Infrastructure Projects.

International Journal of Economics,

Business and Management Research, 2(4),

317-328.

Mbucho, C. W., & Senaji, T. (2015). Influence of

Credit Management on the Loan

Performance among Microfinance

Institutions in Kenya Influence of Credit

Management on the Loan Performance

Among. Change management Journal of

Business, 12(3), 141-152.

Migwi, J. M. (2018). Effect of Community

Engagement at Different Project Phases on

Project Sustainability in Public

Universities in Kenya: A Case Study of

Jomo Kenyatta University of Agriculture

and Technology (Doctoral dissertation,

JKUAT-COHRED).

Migwi, M. J., & Atikiya, R. (2017). Effect of

Community Engagement at the Planning

Phase on Project Sustainability in Public

Universities in Kenya: A Case Study of

Jomo Kenyatta University of Agriculture

and Technology. Strategic Journals, 4 (6),

91 – 103.

Most, B. A., & Starr, H. (2015). Inquiry, Logic, and

International Politics: With a New Preface

by Harvey Starr. Univ of South Carolina

Press.

Muchelule, Y. W. (2018). Influence of Monitoring

Practices on Projects Performance of

Kenya State Corporations. Developing

Countries Studies 3(2), 102-112.

Mugata, R.J. & Muchelule, Y. (2018). Effect of

Stakeholders Analysis on Performance of

Road Construction Project in Elgeyo

Marakwet County. International Journal of

Research in Education and Social

Sciences, 1(2), 88-106.

Mugenda, O. M., & Mugenda, A. G.

(2003). Research Methods Africa Center

for Technology Studies (Acts) Press.

Nairobi Kenya.

Mugenda, O. Mugenda. A. (2009). Sample size

determination. The Business journals.

News.

Nyaguthii, E., & Oyugi, L. A. (2013). Influence of

community participation on successful

implementation of constituency

development fund projects in Kenya: case

study of Mwea Constituency. International

journal of Education and Research, 1(8), 1-

16.

Nyandika, O. F & Ngugi, K. (2014). Influence of

Stakeholders' Participation on Performance

of Road Projects at Kenya National

Highways Authority. European Journal of

Business Management, 1 (11), 384-404.

Office of the Auditors General. (2016). CDF 2015-

2016 Reports. Retrieved from

http://www.oagkenya.go.ke/index.php/rep

orts/cat_view/2-reports/136-cdf/254-cdf-

2015-2016-reports?start=150.

Oloo, E. O., Fung, E. Y., & Tieleman, D. P. (2006).

The dynamics of the MgATP-driven

closure of MalK, the energy-transducing

subunit of the maltose ABC

transporter. Journal of Biological

Chemistry, 281(38), 28397-28407.


http://www.strategicjournals.com/index.php/journal/article/view/51

http://www.strategicjournals.com/index.php/journal/article/view/51

http://www.oagkenya.go.ke/index.php/reports/cat_view/2-reports/136-cdf/254-cdf-2015-2016-reports?start=150





45 | P a g e


Owuoth, J. M. (2011). Factors influencing

implementation of community-based

project in Transmara: The role of agency

factors in community development.

International Journal of Science and

Research, 3(1), 44-48.

Oyalo, N. B., & Bwisa, H. (2015). Factors that

influence the completion of CDF Funded

Projects in Kangundo

Constituency. Strategic Journal of

Business & Change Management, 2(2),

137-143.

Panwar, N. L., Kaushik, S. C., & Kothari, S. (2011).

Role of renewable energy sources in

environmental protection: A

review. Renewable and Sustainable Energy

Reviews, 15(3), 1513-1524.

Patton, M. Q. (2002). Qualitative research and

evaluation methods. Thousand Oaks, CA:

Sage Publications.

Patton, M.Q., (2002). Qualitative Research and

Evaluation Methods. Thousand Oaks, CA:

Sage Publications.

Reeler, D. (2007). A three-fold theory of social

change and implications for practice,

planning, monitoring and evaluation. Cape

Town: CDRA.

Russell, S. J., & Norvig, P. (2016). Artificial

intelligence: a modern approach.

Malaysia; Pearson Education Limited,

Saunders, M., Lewis, P., & Thornhill, A., (2007).

Research Methods for Business Students,

Financial Times/Prentice Hall, (4th Ed.).

United Kingdom: Springer.

Studenmund, A. H. (2011). Using Econometrics: A

Practical Guide. (6th ed.).Boston,

Massachusetts: Pearson.

Swanepoel, H., & De Beer, F. (2006). Community

development. Breaking the cycle of

poverty, 19(4), 531-543.

Thwala, W. D. (2010). Community participation is a

necessity for project success: A case study

of rural water supply project in Jeppes

Reefs, South Africa. Transportation

Research Record, 2474(1), 195-202.

Sulemana, M., Musah, A. B., & Simon, K. K.

(2018). An assessment of stakeholder

participation in monitoring and evaluation

of district assembly projects and

programmes in the Savelugu-Nanton

Municipality Assembly, Ghana. Ghana

Journal of Development Studies, 15(1),

173-195.

Transparency International. (2016). County

Governance Status Report

2016.Transparency International: Nairobi,

Kenya.

Wamugu, J. W. & Ogollah, K. (2017). Role of

Stakeholders’ Participation on the

Performance of Constituency Development

Fund Projects in Mathira East Constituency

in Kenya. International Academic Journal

of Information Sciences and Project

Management, 2(1), 104-125.

Wanambisi, L. (2017, May 30). Each Constituency

to get Sh101mn through CDF kitty.

International Journal of Academic

Research in Business and Social

Sciences, 7(6), 429-448.

Weiss, C. H. (1995). Nothing as practical as good

theory: Exploring theory-based evaluation

for comprehensive community initiatives

for children and families. New approaches

to evaluating community initiatives:

Concepts, methods, and contexts, 1, 65-92.

Willar, D. (2017). Developing attributes for

evaluating construction project-based

performance. The TQM Journal, 29(2),

369-384.

Yin, H., Gesbert, D., Filippou, M., & Liu, Y. (2013).

A coordinated approach to channel

estimation in large-scale multiple-antenna

systems. IEEE Journal on selected areas in

communications, 31(2), 264-273.


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