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North American Academic Research , Volume 2, Issue 10; October 2019; 2(10) 43-61 ©TWASP, USA 43
North American Academic Research
Journal homepage: http://twasp.info/journal/home
Research Factors Affecting Cost Overrun in Construction Projects in Zimbabwe
Tafadzwa Natasha Mavengwa
1*, Dinesh Sukamani (PhD)
2, Mkhokheli Nyoni
3
1School of Civil Engineering and Architecture,, Wuhan Institute of Technology
2School of Civil Engineering and Architecture, Department of Construction Management,
Wuhan University of Technology 3School of Civil Engineering and Architecture, Wuhan Institute of Technology
*Corresponding author
Accepted: 13 October, 2019; Online: 14 October, 2019
DOI : https://doi.org/10.5281/zenodo.3489806
I. Introduction
Cost overrun is a problem common in the construction sector over the years. Cost
performance of an organization plays a very important criterion in evaluating the success of
construction projects. Hence, it is important to establish the vital causes of cost overrun in-order
to understand the factors that can affect cost performance. The definition of the word cost
overrun is when the cost completion exceeds the original cost(Avotos, 1983).
Abstract: This study aims to investigate and identify the factors that cause cost overrun in
construction projects in Zimbabwe. To achieve the aim of this paper the following was done:
identifying different factors that lead to cost overrun, collecting and analyzing questionnaires
from the respondents and ranking the data according to its significance. The factors of cost
overrun were ranked which, listed out the top ten factors. The top ten factors of cost overrun
were: financial difficulties, currency changes, poor contract management, material price
fluctuation, laws and regulations, poor feasibility and project analysis, delay in decision
making, foreign labor permits, political interference and delay in approving design
documents. The research assists in providing a better understanding of the factors of cost
overrun in construction projects in Zimbabwe. The data was used to rank the factors
according to their importance and also find the difference between the public and private
sector using ANOVA test.
Keywords: Cost overrun, construction projects, Zimbabwe, cost performance, ANOVA, RII
North American Academic Research , Volume 2, Issue 10; October 2019; 2(10) 43-61 ©TWASP, USA 44
In Zimbabwe, both public and private sector construction projects are epitomized by cost
overrun. Zimbabwe’s construction projects have had tempestuous cost performance difficulties.
Construction sector of Zimbabwe is also characterized by incomplete projects and different
reasons. The construction sector contributes significantly to the growth of a country and it also
stimulates it’s social and economic development. The construction sector also contributes to the
gross domestic product (GDP), improvement and also provides the required infrastructure to
upgrade standards of living. The GDP of construction sector industry at current price in 2017
according to percentage distribution is 2. 3% and according to rates of percentage growth is 12.
5%. At a constant price, percentage contribution is 2. 4% and the rate of percentage growth is 3.
9%. The study indicated that the construction sector’s GDP of 2018 is anticipated to grow as
high as 15%. Sustainable, stable for the development and growth of construction industries is of
great importance, under-propelling recovery and economic growth. It has a multiplier influence
on the wide economy (Durdyev, Omarov, Ismail, & Lim, 2017). Due to the various obstacles
faced by the county of Zimbabwe in its construction sector, BMI research will only grow by an
average of 5 percent in the next five years, Fitch Group organization has reported. Richard
Marshal Research BMI Research the Head of the Infrastructure stated that the industry has been
pretentious by the decline of the economy over the years (Ndlovu-Gatsheni, 2008). Zimbabwe's
infrastructure department was a victim of Zimbabwe's restricted economic fiscal affair.
Zimbabwe's construction sector organizations lament how the government interrupts in favor of
foreign firms. Zimbabwe's construction sector prerequisite for improving production and
operation for about $350 million. In Zimbabwe, construction firms are trapped between stagnant
productions and shrinking profit margins, this connotation that construction sector is impotent to
generate required profits to invest critical processes and new technology.
II. Aim of the study
Therefore, the goal of this research is to recognize and rank critical factors that cause cost
overrun in construction industry in Zimbabwe. Fundamental research questions are what is the
cost overrun? What are the causes of overrun costs? How is the overrun measured? How are the
causes of cost overrun ranked?
North American Academic Research , Volume 2, Issue 10; October 2019; 2(10) 43-61 ©TWASP, USA 45
III. Objective
1. Identify the causes of cost overrun in construction projects in Zimbabwe.
2. Identify strategic measures for successful construction projects in Zimbabwe.
3. Determine relative rank in terms of the significance of each cost overrun in Zimbabwe.
IV. Literature review
Some factors may seem unimportant for construction projects, while others prove to be very
important for construction projects as conditions are not always the same. Cost overruns have
been experienced by many construction companies over the years. In 1991 to 2008, an ANOVA
test was carried out to investigate the different types of construction cost and of schedule overrun
project size (Shrestha, Burns, & Shields, 2013). This concluded that various large-scale projects
have a significantly higher cost and schedule overrun than projects of smaller size and duration.
The construction sector looks more at cost performance than time performance. The study found
that costs were very close to the target while the duration of the project surpassed the target
(Olawale & Sun, 2010). This shows that the profitability and productivity objective of the
construction organization is highly dependent on cost performance. The aim of the researcher is
to identify the main factors causing cost overruns in construction projects such as fluctuations in
the material price, inaccurate estimates, high labor costs, complexity of the project, adverse
weather and changing regulations (Kaming, Olomolaiye, Holt, & Harris, 1997). Chang Indicated
two causes of an increase in the cost of construction design projects (change in range and extra
work)(Chang, 2002). Established that three outstanding cost overrun factors are poor site
management, poor supervision also financial difficulties and fluctuation of material
prices(Rahman, Memon, & Karim, 2013).
Previous author carried out a survey showing three factors affecting cost overrun which are
faulty design, site condition dissimilar, and arrangement change (Moura, Teixeira, & Pires,
2007). The groundwater project study conducted in Ghana identified five outstanding cost
overrun factors indicating an increase in material prices, poor contractor management, material
procurement, monthly agency payment difficulties and poor technical performance (Frimpong,
Oluwoye, & Crawford, 2003). A previous researcher conducted a study on infrastructure delays
and cost escalation in Nigeria of factor cost overruns are design changes, shortage of materials,
poor contract management, payment of finished works and bad weather (Omoregie & Radford,
North American Academic Research , Volume 2, Issue 10; October 2019; 2(10) 43-61 ©TWASP, USA 46
2006). The study on road construction in Zambia identified causes of cost overruns that are bad
weather, changes in scope, delays in schedules, inflation, strike, and technical problems (Kaliba,
Muya, & Mumba, 2009). Investigated that overrun rates in road construction projects from 1994
to 2009 are 5.5 percent and 10.43 percent respectively (Akoa, 2011). In Botswana, the evaluation
of the cost performance of public projects research showed four categories that are the most
significant causes of cost overrun: variation, contractual claims, labor cost fluctuation, as well as
materials and measurements of temporary works (Chimwaso, 2000). Found that the cost factors
in Pakistan's construction industry are price fluctuations, poor site management and lowest
procurement procedures(Azhar, Farooqui, & Ahmed, 2008) . In Nepal, the researcher studied
factors affecting the performance of small hydro-power construction projects as quality control
of materials, insufficient supply of materials, overall management action(Chiluwal & Mishra,
2017).
An absolute review of literature identifies nine major cost overrun factors and about 63 of
their sub-factors as shown in table 1.
Table 1
Factors that cause overrun costs
NO Main
factors
N0 Related cost factors REFERENCES
1 Client C1 Financial difficulty (Famiyeh, Amoatey, Adaku, &
Agbenohevi, 2017; Polat, Okay, & Eray,
2014)
C2 Poor communication (Asiedu & Alfen, 2015; Famiyeh et al.,
2017)
C3 Delay in decision making (Al-Hazim, Salem, & Ahmad, 2017;
Famiyeh et al., 2017; Niazi & Painting,
2017; Polat et al., 2014)
C4 Changes of orders
delayed by the client
(Park & Papadopoulou, 2012)
C5 Delay in approving design
documents
(Niazi & Painting, 2017)
C6 Unrealistic contract
duration
(Famiyeh et al., 2017; Niazi & Painting,
2017)
C7 Work suspension by
client
(Niazi & Painting, 2017)
2 Consultan
t
CO1 Project design complexity (Niazi & Painting, 2017)
CO2 Poor supervision (Famiyeh et al., 2017)
CO3 Slowness in giving
instruction
(Famiyeh et al., 2017)
CO4 Poor feasibility and (Famiyeh et al., 2017)
North American Academic Research , Volume 2, Issue 10; October 2019; 2(10) 43-61 ©TWASP, USA 47
NO Main
factors
N0 Related cost factors REFERENCES
project analysis
CO5 Mistakes and
discrepancies in design
documents
(Al-Hazim et al., 2017; Niazi &
Painting, 2017)
CO6 Conflicts amongst
consultant and other
parties
(Niazi & Painting, 2017)
CO7 Delay in reporting the
progress of works done
(Niazi & Painting, 2017)
CO8 Inaccurate estimates (Famiyeh et al., 2017; Park &
Papadopoulou, 2012)
CO9 Poor contract
management
(Doloi, Sawhney, Iyer, & Rentala, 2012;
Park & Papadopoulou, 2012)
CO10 Delay in reviewing the
design documents
(Famiyeh et al., 2017; Niazi & Painting,
2017)
CO11 Lack of sufficient
experience of consultant
(Famiyeh et al., 2017)
3 Material M1 Shortage of material (Asiedu & Alfen, 2015; Park &
Papadopoulou, 2012)
(Niazi & Painting, 2017)
M2 Equipment productivity (Niazi & Painting, 2017)
M3 Material price fluctuations (Al-Hazim et al., 2017; Frimpong et al.,
2003; Kaliba et al., 2009)
M4 Equipment choice (Niazi & Painting, 2017)
M5 High transportation cost
of construction materials
(Wanjari & Dobariya, 2016)
M6 Equipment failure (Niazi & Painting, 2017)
M7 Delay in material delivery (Niazi & Painting, 2017)
M8 Construction equipment
shortage
(Niazi & Painting, 2017)
M9 Poor material handling on
site
(Niazi & Painting, 2017)
M10 Low quality of materials (Famiyeh et al., 2017)
M11 Poor procurement
programming of material
(Niazi & Painting, 2017)
M12 Inappropriate or misuse of
materials
(Niazi & Painting, 2017)
4 Labor L1 Low productivity of labor (Niazi & Painting, 2017)
L2 Overtime issues (Niazi & Painting, 2017)
L3 Shortage of technical staff (Niazi & Painting, 2017; Park &
Papadopoulou, 2012)
L4 High cost of labor (Niazi & Painting, 2017; Wanjari &
Dobariya, 2016)
L5 Weak motivation (Niazi & Painting, 2017)
L6 Labor nationality (Niazi & Painting, 2017)
L7 Conflict between labor (Niazi & Painting, 2017)
5 Contractor CON1 Poor financial (Famiyeh et al., 2017; Niazi & Painting,
North American Academic Research , Volume 2, Issue 10; October 2019; 2(10) 43-61 ©TWASP, USA 48
NO Main
factors
N0 Related cost factors REFERENCES
management on site 2017)
CON2 Lack of sub-contractor
skills
(Famiyeh et al., 2017; Niazi & Painting,
2017)\
CON3 Project schedules delays (Famiyeh et al., 2017)
CON4 Mistakes during
construction by
contractors
(Niazi & Painting, 2017)
CON5 Often changing sub-
contractors
(Niazi & Painting, 2017)
CON6 Delay in site mobilization (Niazi & Painting, 2017; Polat et al.,
2014)
CON7 Poor coordination
between contractor and
subcontractor
(Niazi & Painting, 2017)
6 Governm
ent
G1 Slow permits by
government agencies
(Famiyeh et al., 2017)
G2 Bureaucracy in
government agencies
(Famiyeh et al., 2017)
G3 Political interference (Famiyeh et al., 2017)
G4 Strikes legal disputes
between parties
(Famiyeh et al., 2017)
7 External E1 Bad weather (Al-Hazim et al., 2017; Famiyeh et al.,
2017)
E2 Currency changes (Niazi & Painting, 2017; Park &
Papadopoulou, 2012)
E3 Natural disasters (Niazi & Painting, 2017)
E4 Building codes (Niazi & Painting, 2017)
E5 Corruption (Niazi & Painting, 2017; Park &
Papadopoulou, 2012)
E6 Laws and regulations
changes
(Famiyeh et al., 2017; Niazi & Painting,
2017)
E7 Foreign labor permits (Niazi & Painting, 2017)
E8 Restrictions at job site (Niazi & Painting, 2017)
E9 Material price changes (Frimpong et al., 2003)
E10 Effect of social and
cultural factors
(Niazi & Painting, 2017)
8 Quality Q1 Reworks (Polat et al., 2014)
Q2 Penalties resulting from
low quality
(Polat et al., 2014)
Q3 Unclear technical
specifications
(Polat et al., 2014)
9 Contractu
al
CONT1 Project delays (Famiyeh et al., 2017)
North American Academic Research , Volume 2, Issue 10; October 2019; 2(10) 43-61 ©TWASP, USA 49
NO Main
factors
N0 Related cost factors REFERENCES
CONT2
2 Environmental protection (Famiyeh et al., 2017)
V. Research methodology
A questionnaire survey and literature review identified the major factors that cause cost
overrun on Zimbabwe's construction projects. A questionnaire was designed with approximately
37 cost overrun questions chosen from table 1. The purpose of this questionnaire was to assume
the knowledge of factors causing cost overrun in Zimbabwe by experienced personnel. The
research also plays a major role in collecting past studies on cost overrun factors. For various
reasons associated with it, the questionnaire was used, for example, to communicate with people
in different regions than face to face interview. The questionnaire is made up of three main parts.
The purpose of the first part was to collect information about the demographic information of the
respondent, the second part contends with the work description of the respondent and the third
part was about the main questions about the causes of the cost overrun. Ordinal Likert scale
measurements for level of significance from 1 to 5, depending on the level of contribution used
where 1-is not significant; 2-slightly significant; 3-moderately significant; 4-very significant and
5-extremely significant. In order to rank the factors that caused cost overrun with regard to
Zimbabwe's construction projects, the factor rating was important.
Table 2
Summary of the survey findings
Parameter values
Number of distributed questionnaires 70
Number of invalid questionnaires 2
Number of received responses 50
Percentage of received responses (%) 71.4
North American Academic Research , Volume 2, Issue 10; October 2019; 2(10) 43-61 ©TWASP, USA 50
VI. Relative importance index
The method RII shows the ranking of each factor according to their importance. This method
was employed to determine the main causes of cost overrun. RII method is evaluated using the
below equation:
AN
WRII
(1)
Where,
RII-the relative importance index
W- Weighting given to each factor by respondent and the scope from 1-5
A- Highest weight
N-total number of respondents
Table 3
Rank of factors of cost overrun
S.N Main factors Related cost factors Rank RII
1 Client Financial difficulty 1 0.89
Delay in decision making 2 0.839
Delay in approving design documents 3 0.769
Unrealistic contract duration 4 0.604
Poor communication 5 0.412
2 Consultant Poor contract management 1 0.878
Poor feasibility and project analysis 2 0.847
Poor supervision 3 0.71
Project design complex 4 0.671
Slowness in giving instruction 5 0.573
3 Material Material price fluctuations 1 0.875
Shortage of material 2 0.737
Construction equipment shortage 3 0.636
High transportation cost of construction
materials
4 0.588
Low quality of materials 5 0.553
North American Academic Research , Volume 2, Issue 10; October 2019; 2(10) 43-61 ©TWASP, USA 51
S.N Main factors Related cost factors Rank RII
Equipment failure 6 0.467
Inappropriate or misuse of materials 7 0.396
4 Labor Labor nationality 1 0.714
Shortage of technical staff 2 0.4
Overtime issues 3 0.388
Low productivity of labor 4 0.373
Weak motivation 5 0.337
5 Contractor Mistakes during construction by
contractors
1 0.698
Poor coordination 2 0.42
Lack of sub-contractor skills 3 0.384
6 Government Political interference 1 0.776
Bureaucracy in government agencies 2 0.671
7 External Currency changes 1 0.886
Laws and regulations changes 2 0.855
Foreign labor permits 3 0.804
Corruption 4 0.765
Material price changes 5 0.722
8 Quality Unclear technical specifications 1 0.729
Reworks 2 0.541
Penalties resulting from low quality 3 0.467
9 Contractual Project delays 1 0.62
Environmental protection 2 0.404
VII. Data evaluation
Table 3 shows 9 main factors, per each main factor, are sub-factors which are ranged
according to their importance. Based on the findings the results are presented in Table 4 which
shows the top 10 causes of cost overrun in construction projects in Zimbabwe. According to the
ranking results, the 1st ranked top factor are financial difficultly by the client with an RII value
North American Academic Research , Volume 2, Issue 10; October 2019; 2(10) 43-61 ©TWASP, USA 52
of 0. 89. This factor in table 3 the RII score is ranked the 1st. Financial difficulties is the main
problem that causes cost overrun in the Zimbabwe construction project sector. Due to Zimbabwe
facing economic instability, the financial difficulties can be imputed by the contemporaneous
liquidity crisis of the economy. In accordance with the reviews, the main source of financial
difficulties has not been identified (Al-Khalil and Al-Ghafly 1999: Frimpong and Oluwoye
2003). The 2nd ranked factor is currency changes with an RII value of 0. 886. It is under the
external factor, which in table 3 shows that it has a high contribution to cost overrun projects. In
Zimbabwe, various methods have been introduced to solve problems. Zimbabwe introduced a
new currency which outwardly pegged to the US dollar for bond notes and coins. Currency
changes and inflation rate they have a highly important impact on the cash flow of a project;
thus, it leads to affecting cost overrun projects. Poor contract management factor which is ranked
3rd with an RII of 0. 878. This factor is under consultant and in table 3 it is rated as the most
significant impact on the cost overrun construction projects in Zimbabwe. The act of not
monitoring the contract after it has been signed leads to cost overrun problems. The 4th ranked
factor is material price fluctuation its RII value is 0. 875. From table 3 it has proved to have an
important impact on cost overrun construction projects on Zimbabwe. This factor has a high
impact on large projects than smaller projects. On a large construction project, it will be difficult
to deal with the effects of inflation. Market price fluctuation is mainly caused by a shift in
demand, a shift in supply and government regulation. In Zimbabwe, there is a low supply of
material which leads to price fluctuation. This factor is under material related factors. Laws and
regulations, this factor is ranked as the 5th with an RII of 0. 855. It is categorized in external
related factors. In table 3 it is ranked as the 2nd significant factor under external factors. The 6th
important factor ranked is poor feasibility and project analysis, with an RII value of 0. 847. In
table 3 it is ranked as the 2nd significant factor. This factor in (Kometa et al 1994)’s study
indicated that it has an impact on construction firms. It is categorized under the consultant. The
last four factors are a delay in decision making, foreign labor permits, political interference and
delay in approving design documents. Delay in decision making in table 3 is rated as the 2nd
important factor which is categorized under client. Its RII value is 0. 839. The study on Ghana’s
construction sector indicated this has an impact. (Frimpongs et al 2003). The factor foreign labor
permits in table 3 in ranked the 3rd under external related factor, with an RII of 0. 804. Political
interference is 2nd from the last factor with an RII of 0. 776. In table 3 it is the 1st under
North American Academic Research , Volume 2, Issue 10; October 2019; 2(10) 43-61 ©TWASP, USA 53
government-related factors. The delay in approving design documents results in cost overrun.
The finding is further support by (Al-Hammadi and Nawab 2016).
Table 4
Top ten ranked factors of cost overrun
RANK MAIN FACTOR SUB FACTOR RII
1 Client Financial difficulty 0.89
2 External Currency changes 0.886
3 Consultant Poor contract management 0.878
4 Material Material price fluctuation 0.875
5 External Laws and regulations 0.855
6 Consultant Poor feasibility and project analysis 0.847
7 Client Delay in decision making 0.839
8 External Foreign labor permits 0.804
9 Government Political interference 0.776
10 Client Delay in approving design documents 0.769
Table 4 shows the client and external factors having 3 sub factors in the top 10 factors of cost
overrun. The client factors are financial difficulty, delay in decision making and delay in
approving design documents. These client factors may cause the project to be delayed. The
external factors are currency changes, laws and regulations and foreign labor permits.
VIII. Analysis of variances
The ANOVA (analysis of variances) test was used to determine and compare if their
dissimilarities are statistically important. Independent variables of the two groups were used to
compare. The two groups are the public and private sectors. When comparing two samples we
use t-test (independent sample) which gives the same results as ANOVA test. The ANOVA test
assumes that the variety of all the errors equal to each other. The conclusion is drawn using the F
value.
Table 5
ANOVA test
Sum of
Squares df
Mean
Square F Sig.
North American Academic Research , Volume 2, Issue 10; October 2019; 2(10) 43-61 ©TWASP, USA 54
Sum of
Squares df
Mean
Square F Sig.
C1 Between Groups .073 1 .073 .130 .720
Within Groups 26.132 47 .556
Total 26.204 48
C2 Between Groups 1.960 1 1.960 1.487 .229
Within Groups 61.958 47 1.318
Total 63.918 48
C3 Between Groups .016 1 .016 .023 .880
Within Groups 31.984 47 .681
Total 32.000 48
C4 Between Groups 1.490 1 1.490 1.420 .239
Within Groups 49.326 47 1.049
Total 50.816 48
C5 Between Groups .097 1 .097 .039 .844
Within Groups 116.393 47 2.476
Total 116.490 48
CO1 Between Groups .296 1 .296 .259 .613
Within Groups 53.704 47 1.143
Total 54.000 48
CO2 Between Groups 4.718 1 4.718 2.567 .116
Within Groups 86.384 47 1.838
Total 91.102 48
CO3 Between Groups 2.552 1 2.552 2.917 .094
Within Groups 41.121 47 .875
Total 43.673 48
CO4 Between Groups .054 1 .054 .239 .627
Within Groups 10.721 47 .228
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Sum of
Squares df
Mean
Square F Sig.
Total 10.776 48
CO5 Between Groups .008 1 .008 .031 .861
Within Groups 12.237 47 .260
Total 12.245 48
M1 Between Groups 2.383 1 2.383 3.980 .052
Within Groups 28.147 47 .599
Total 30.531 48
M2 Between Groups .147 1 .147 .312 .579
Within Groups 22.098 47 .470
Total 22.245 48
M3 Between Groups .013 1 .013 .011 .915
Within Groups 52.967 47 1.127
Total 52.980 48
M4 Between Groups .012 1 .012 .015 .902
Within Groups 35.621 47 .758
Total 35.633 48
M5 Between Groups .037 1 .037 .047 .830
Within Groups 37.025 47 .788
Total 37.061 48
M6 Between Groups .191 1 .191 .119 .731
Within Groups 75.156 47 1.599
Total 75.347 48
M7 Between Groups 1.375 1 1.375 1.387 .245
Within Groups 46.625 47 .992
Total 48.000 48
L1 Between Groups 1.306 1 1.306 1.642 .206
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Sum of
Squares df
Mean
Square F Sig.
Within Groups 37.388 47 .795
Total 38.694 48
L2 Between Groups .516 1 .516 .619 .435
Within Groups 39.158 47 .833
Total 39.673 48
L3 Between Groups .490 1 .490 .475 .494
Within Groups 48.489 47 1.032
Total 48.980 48
L4 Between Groups .028 1 .028 .073 .788
Within Groups 17.972 47 .382
Total 18.000 48
L5 Between Groups 2.688 1 2.688 1.429 .238
Within Groups 88.414 47 1.881
Total 91.102 48
Con1 Between Groups .180 1 .180 .269 .606
Within Groups 31.493 47 .670
Total 31.673 48
Con2 Between Groups .373 1 .373 .237 .629
Within Groups 73.832 47 1.571
Total 74.204 48
Con3 Between Groups 1.334 1 1.334 1.060 .309
Within Groups 59.156 47 1.259
Total 60.490 48
G1 Between Groups .112 1 .112 .068 .796
Within Groups 77.888 47 1.657
Total 78.000 48
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Sum of
Squares df
Mean
Square F Sig.
G2 Between Groups 1.960 1 1.960 1.441 .236
Within Groups 63.958 47 1.361
Total 65.918 48
E1 Between Groups .030 1 .030 .021 .885
Within Groups 67.072 47 1.427
Total 67.102 48
E2 Between Groups .008 1 .008 .023 .879
Within Groups 16.237 47 .345
Total 16.245 48
E3 Between Groups 1.134 1 1.134 2.176 .147
Within Groups 24.498 47 .521
Total 25.633 48
E4 Between Groups 1.084 1 1.084 1.007 .321
Within Groups 50.589 47 1.076
Total 51.673 48
E5 Between Groups .928 1 .928 1.116 .296
Within Groups 39.072 47 .831
Total 40.000 48
Cont1 Between Groups 1.225 1 1.225 1.016 .319
Within Groups 56.693 47 1.206
Total 57.918 48
Cont2 Between Groups .001 1 .001 .002 .965
Within Groups 31.958 47 .680
Total 31.959 48
Q1 Between Groups .387 1 .387 .576 .451
Within Groups 31.572 47 .672
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Sum of
Squares df
Mean
Square F Sig.
Total 31.959 48
Q2 Between Groups 1.447 1 1.447 .954 .334
Within Groups 71.247 47 1.516
Total 72.694 48
Q3 Between Groups .682 1 .682 .473 .495
Within Groups 67.726 47 1.441
Total 68.408 48
IX. Further research
The ANOVA test was analyzed using two samples, namely public and private sector. The
data collected amounted to 50 responses 29 under private sector and 21 under public sector. Null
hypothesis is that there are no significant differences between the public and private sector in the
opinion of factors of cost overrun in construction projects in Zimbabwe. The cost overrun of two
groups shown above in table 5 was statistically important at a significant level of 0. 05. the
opinion of the construction professionals concludes that both private and public sector are
affected by the same factors of cost overrun.
X. Conclusion
This study investigated the cause of cost overrun in construction projects in Zimbabwe. In
the literature review, about 10 main factors and about 63 sub-factors were identified. From the
judgment of the respondents in Zimbabwe, showed that the top ten factors of cost overrun are
financial difficulties, currency changes, poor contract management, material prices fluctuation,
laws and regulations, poor feasibility and project analysis, delay in decision making, foreign
labor permits, political interference and delay in approving design documents. These factors
were approved by using the RII (relative importance index) method to rank the factors according
to their importance. The ANOVA test method was also used to analyze the data between the two
groups (public and private sector). It showed that between public and private sector they are
equal due to the level of significance being above 0. 05. The findings of this study will help to
North American Academic Research , Volume 2, Issue 10; October 2019; 2(10) 43-61 ©TWASP, USA 59
improve and also understand the deep roots of the cause of overrun in construction projects in
Zimbabwe. This study will also help prevent project failure.
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Tafadzwa Natasha Mavengwa, 22 years old, Studying Civil engineering
undergraduate at Wuhan institute of technology China. She is a Zimbabwean
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