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International Journal of Engineering and Management Research e-ISSN: 2250-0758 | p-ISSN: 2394-6962
Volume-11, Issue-1 (February 2021)
www.ijemr.net https://doi.org/10.31033/ijemr.11.1.18
129 This Work is under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Reasons for Delaying the Constriction Projects in Iraq
Areej A. Alsaadi1
and Redvan Ghasemlounia2
1
M.Sc. Student, Department of Engineering Management, Faculty of Engineering, Istanbul Gedik University, TURKEY
2
Assisstant Professor, Department of Civil Engineering, Faculty of Engineering, Istanbul Gedik University, TURKEY
2
Corresponding Author: redvan.ghasemlounia@gedik.edu.tr
ABSTRACT
This article dealt with construction projects in Iraq,
and the research focused on the risks that may affect these
projects. The purpose of this study is to determine the risks
that construction projects are exposed to in Iraq and the
methods of dealing in order to reduce these risks. Sometimes,
if the construction projects are similar to each other in terms
of configuration, requirements and purpose, then changing
the project site is very sufficient to make these projects differ
from each other and thus may be exposed to different risks.
These are risks that negatively affect the implementation of
these projects and may lead to delay or increase in their cost.
Here a questionnaire is designed to collect data to identify
risks that may occur during the construction project phases.
This questionnaire was distributed electronically to several
samples in the public and private sectors within state
institutions in Iraq. After completion, the risks that these
projects may be exposed to were identified. This was done
with engineers and managers of companies and projects
working in the public, private and joint sectors, and then
these risks were analyzed by the Social Sciences for Packet
Statistical Test program(SPSS).
Keywords-- Academic Qualification, Government
Agencies, Social Sciences for Packet Statistical Test,
Payment of Financial Dues, Project Budget, Project Risk
Management
I. INTRODUCTION
The construction industry is one of the largest in
the world. The increase in growth in this industry is an
indicator of the economy and the condition of the country
[1]. Construction projects in Iraq, as in other countries,
require many resources, including manpower, finance,
equipment, machinery, materials, and technical
capabilities. All this makes construction projects
vulnerable to risks that affect project implementation time
and increase costs[2]. It is essential here to understand the
nature of risk and its analysis to develop a strategy for
managing and dealing with it. Here, the impact of each of
them on the project must be explained, along with
identifying the methods and procedures used to deal with
these risks, which contribute to reducing the occurrence of
these risks and their impact on the project. The risks
associated with the project work phase must be studied and
researched, as well as finding the corrective path that
includes a modification in the course of work in one phase
of the project's work to reduce these risks and also
contribute to raising the level of work efficiency in the
project in addition to monitoring and controlling the safety
of these plans and verifying that they are under Actually
implementation to ensure the safety of the subsequent
project work stages [2].
For engineering and construction projects, the
most important estimate is the advance and correct
financial estimate of the project. Accurate early cost
estimates are very important to companies and the
engineering team [4]. Good planning for any project is the
cornerstone of any good project. Careful planning,
combined with good execution, leads to project success[4].
Among the most important objectives of this research:
1. Identify the causes of construction risks in
construction projects in Iraq.
2. Determining the construction risks in Iraq.
3. Developing strategies to respond to these risks
[3].
An electronic search was performed on (50) samples.
Based on a questionnaire conducted to obtain information
about the causes of these risks and measures taken to
mitigate risks affecting construction projects in Iraq. The
main study population in this questionnaire consists of
engineers, contractors, and consultants in the Electricity
Distribution Directorate, Babylon Governorate, and in Iraq
in general [3].
II. LITERATURE REVIEW
Risk management in projects is at present one of
the main topics of concern to researchers and practitioners-
Tioners who work in project management. Managing the
risks designated as one of the project's eight-core areas
Body of Knowledge Management (PMBOK) by the
Institute for project management, which is the biggest pro-
Project management- committed professional company.
Also, most Project Training programs Managers have a
Risk Management course. Beyond consideration generally
recognized in project management as a phase of the life
cycle, Project risk management (PRM) is often seen as a
International Journal of Engineering and Management Research e-ISSN: 2250-0758 | p-ISSN: 2394-6962
Volume-11, Issue-1 (February 2021)
www.ijemr.net https://doi.org/10.31033/ijemr.11.1.18
130 This Work is under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
phase that goes along with the project dentition by
preparing, conducting, and control phases before ending
and closing [5].
2.1 Project Risk and Uncertainty of a Project
Despite numerous studies of the risks, it still lacks
a clear and understandable basis. Here we can come to two
basic concepts related to risk: First, there is a consensus
among professionals that risks often have negative
consequences (delay in time, financial loss, etc.).
Sometimes the risks can be positive . The positive risk here
means any situation, situation, or event that will provide a
potentially positive impact on the project. There are many
examples of positive risks in projects: you can complete
the project early; Or perhaps the delay in some paragraphs
sometimes leads to more time to start another paragraph
that was not planned insufficient time and so on [6].
2.2 Estimate the Cost and Level of Project
Development
There are four main levels of risk mitigation.
1. Planning: early and appropriate planning to
assess all project needs for funding and time for
each paragraph, as well as to prioritize the
necessary needs.
2. Define Scope: It is used to set the basic cost of
the project.
3. Design: Pre-made estimates are used at different
design levels to track changes in the estimated
cost to complete a project in relation to the
current budget initially allocated to the project.
4. Final Estimate: The engineer’s estimate is
prepared for the final review of the contract in
preparation for the announcement and is used in
allocating funds for construction as well as for
evaluating contractors ’bids for the purpose of
obtaining[1].
2.3 The main risks in projects
1. Customer risks
2. The risks are due to the designers
3. Risks due to contractors
4. Risks due to subcontractors
5. Risks caused by government agencies
6. Risks related to external issues
7. Incorrect risk management plan [7].
III. METHODOLOGY AND RESEARCH
DESIGN
The descriptive-analytical approach that relies on
studying the reality as it is, in reality, was used to arrive at
the results of the questionnaire, and by collecting and
analyzing data statistically to test the validity of the study
hypotheses. Statistical analysis of the data aims to test the
following hypotheses:
1. The contractor bears full responsibility for most
of the risks in the construction industry in Iraq.
2. Pre-construction risk management is not used in
Iraqi construction enterprises.
3. Most of the risks are mitigated when they occur.
The survey questionnaire was designed to meet the
required purpose of the study population and the selected
sample statistically, and then the questionnaire was
prepared in its final form.
The questionnaire was taken for 50 samples from
the total population. The questionnaire form:
Part 1 / Personal Information
1. Academic qualification :
Bachelor’s degree Higher Diploma
Master PhD
2. Years of Work Experience
Less of 5 5 – 10
10 -15 More than 15
3. Type of work
Contractor Owner
Advisor Other
4. Sector Type
Public Special
Public and private
5. Current Workload
Big project Medium project
Small project
Part 2 / Means of Remedying the Effects of Risks
International Journal of Engineering and Management Research e-ISSN: 2250-0758 | p-ISSN: 2394-6962
Volume-11, Issue-1 (February 2021)
www.ijemr.net https://doi.org/10.31033/ijemr.11.1.18
131 This Work is under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Risk rating Responsibility of risk
1. Physical and human risks.
The low production capacity of workers/breakdown of the
machine
Supply of low-quality materials
Accidents happen due to a lack of safety precautions
2. Environmental and natural risks
Natural disasters (floods)
Difficulty accessing the site
Inappropriate weather conditions
3. Design risks
A mismatch between architectural and structural plans
accuracy in calculating quantities
A mismatch between quantities, plans, and specifications
commissioning to incompetent designers
4. Logistical risks
Inaccurate project scheduling
Poor communication within the working range
Shortage of labor, machinery, and materials
5. Financial risks
Inflation
Delayed payments as per contract
Exchange rate instability
Poor management of the contractor's cash flow
6. Legal risks
The emergence of legal disputes during the
implementation phase between the project parties and the
delay in resolving them
Difficulty obtaining the necessary permits to work
7. Risks directly related to the implementation
Low level of quality of work due to time constraints of
implementation
Design change
There is a difference between real and nodal quantities
Implementation errors due to a misunderstanding of the
plans, terms, and specifications
8. Political
New government laws affecting work
Security instability
9. Administrative risks
Lack of necessary information
Poor communication between the project parties
Unclear planning due to project complexity
Poor management of resources
The owner The
contractor
The
Consultant
Another
party
International Journal of Engineering and Management Research e-ISSN: 2250-0758 | p-ISSN: 2394-6962
Volume-11, Issue-1 (February 2021)
www.ijemr.net https://doi.org/10.31033/ijemr.11.1.18
132 This Work is under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
IV. RESULTS
The statistical data analysis is done by computer
using Statistical Package and Social Sciences for Packet
Statistical Test (SPSS) software. To verify the validity and
reliability of the questionnaire through internal
consistency, correlation coefficients were calculated,
which is a statistical measure to measure the strength of
the relationship between the relative movements of two
variables. Values range from (-1.0 to 1.0). The number is
either greater than 1.0 or less than -1.0 which means that
there is a correlation measurement error. This shows that
the variables move in opposite directions - for a positive
increase in one variable, there is a decrease in the second
variable. If the correlation between two variables is 0, then
there is no linear relationship between them. The strength
of the relationship varies in degree based on the value of
the correlation coefficient. For example, a value of 0.2
shows that there is a positive relationship between two
variables, but it is weak and likely, not significant.
Analysts in some areas of study do not consider
correlations important until the value exceeds at least 0.8.
However, a correlation coefficient with an absolute value
of 0.9 or more represents a very strong correlation. Where
the probability value is Sig. The associated correlation
coefficients are less than the test-specific significance level
α = 0.05. Accordingly, we conclude that the variable is
true for what was measured[8].Constructive validity was
also calculated, meaning constructive validity. It is one of
the measures of the validity of measures, and it measures
the extent to which the scale wants to reach, and it shows
the extent to which each dimension of the study is related
to the overall score of the paragraphs of the questionnaire
[9]. Reliability was also calculated, which means accuracy
and consistency of the respondents' answers, and
consistency in results regardless of test frequency[10].
A fixed scale (questionnaire) is one that gives the
same results that were applied to the same individuals and
in the same circumstances again, as it indicates the extent
of impartiality (free of errors) and indicates that the
observed result from one of the measures is the true result
of this scale. Among the most popular and important
measures of measuring internal consistency for
questionnaire paragraphs is Schönbach alpha, and
Cronbach alpha values usually range from 0 to 1, with (0)
indicating no relationship between items on a given scale,
and (1) indicating absolute internal consistency. The value
of the alpha correlation coefficient higher than (0.7) was
acceptable and satisfactory, and higher than (0.8) which is
very good, and it is considered higher than (0.9), and it
reflects high internal stability[11]. Self-validity is an
assessment of the extent to which the instrument measures
what it is designed to measure, that is, the degree of
validity of the results, and it determines whether the results
obtained meet all the requirements of scientific research.
method. Mathematically, honesty is the square of
reliability[11].To ensure the validity and reliability of the
questionnaire, the following statistical analyzes were
performed:
1. Internal Consistency
The internal consistency was calculated by the
(SPSS) program and the correlation coefficients were
calculated between each paragraph of the risk rating scale
and the overall score of the variable, indicating that all
correlation coefficients are statistically significant as the
probability value is Sig. The associated correlation
coefficients are less than the test-specific significance level
α = 0.05. Therefore, we conclude that the variable is
correct as it was.
Table 1: Reliability and validity coefficient
Variable
Dimension
Number
of
items
Cronbach's
alpha
Self-
Validity
Coefficient
Classifi
cation
of risks
9 29 0.89 0.94
Physical and
human risks.
3 0.88 0.94
Environmental
and natural risks
3 0.84 0.92
Design risks 4 0.86 0.93
Logistical risks 3 0.89 0.94
Financial risks 4 0.79 0.89
Legal risks 2 0.81 0.90
Risks directly
related to the
implementation
4 0.77 0.88
Political risks 2 0.79 0.89
Administrative
risks
4 0.88 0.94
Means
of
remedy
ing the
effects
of risks
2 12 0.83 0.91
Before the
implementation
phase risk
7 0.85 0.92
During the
implementation
risk
5 0.80 0.89
Symb
ol
Quantity
Conversion from Gaussian
and
CGS EMU to SI a
 magnetic flux 1 Mx  108
Wb = 108
V·s
B magnetic flux
density,
magnetic
induction
1 G  104
T = 104
Wb/m2
H magnetic field
strength
1 Oe  103
/(4) A/m
m magnetic moment 1 erg/G = 1 emu
 103
A·m2
= 103
J/T
M magnetization 1 erg/(G·cm3
) = 1 emu/cm3
 103
A/m
4M magnetization 1 G  103
/(4) A/m
 specific
magnetization
1 erg/(G·g) = 1 emu/g  1
A·m2
/kg
j magnetic dipole 1 erg/G = 1 emu
10
International Journal of Engineering and Management Research e-ISSN: 2250-0758 | p-ISSN: 2394-6962
Volume-11, Issue-1 (February 2021)
www.ijemr.net https://doi.org/10.31033/ijemr.11.1.18
133 This Work is under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
2. Constructive Validity
The constructive validity was also calculated and
it became clear that all correlation coefficients for all
dimensions of the questionnaire are statistically significant
because of the level of significance (Sig.) Associated with
the correlation coefficients for the total degree of the
questionnaire items is less than the specified likelihood
value for α = 0.05.
3. Reliability
When calculating reliability by finding
Cronbach's alpha coefficients, which were all greater than
(0.70), this is considered very acceptable from an
administrative and statistical point of view, as the validity
ratio indicates the accuracy of the measurement tool for the
study. These results indicate that the prepared
questionnaire will measure what has been developed to
measure it with high accuracy as shown in table (1).
V. CONCLUSION
The long implementation period as well as
interruptions during work, in most cases, lead to changing
circumstances, which leads to multiple and sometimes
unpredictable risks. Among the most important risks
facing projects, which I concluded from the analysis that
was based on the results of the above questionnaire:
1. There is a clear and major weakness in deducing
the risks expected to occur in construction
projects in Iraq.
2. The lack of a special department for risk
management in most construction companies and
establishments in Iraq.
3. Not using modern means to reduce risks before
the construction stage.
4. Addressing or mitigating all risks, usually during
the construction stages and when the danger
occurs.
5. The contractor bears full responsibility for most
of the risks involved in Iraqi construction
projects.
6. Sometimes, due to the owner’s delay in paying
the financial dues, this leads to a delay in
completing the project on time and with the
required quality, and this leads to increased costs,
delayed completion of the project, and low
quality of implementation because of the
contractor who will try to complete the work
quickly to reduce wasted time.
7. The causes of risks must be determined in
advance by studying previous projects similar to
the one to be sought, studying the risks exposed
to and developing strategies to respond to them.
REFERENCES
[1] Mohajan, H. K. (2017). Two criteria for good
measurements in research: Validity and reliability. Annals
of Spiru Haret University. Economic Series, 17(4), 59-82.
[2] Maurya, A. K., Yadav, R. K., Singh, A. K., Deep, A.,
& Yadav, V. (2020). Studies on correlation and path
coefficients analysis in bread wheat (Triticum aestivum
L.). Journal of Pharmacognosy and Phytochemistry, 9(4),
524-527.
[3] Dybjer, P. & Colloquium, B. L. (2010). Program
testing and constructive validity.
[4] Schaefer, K. A., Wu, W. H., Colgan, D. F., Tsang, S.
H., Bassuk, A. G., & Mahajan, V. B. (2017). Unexpected
mutations after CRISPR–Cas9 editing in vivo. Nature
Methods, 14(6), 547.
[5] Hillson, D. (2003). Effective opportunity management
for projects: Exploiting positive risk. CRC Press.
[6] Raz, T., & Michael, E. (2001). Use and benefits of
tools for project risk management. International Journal of
Project Management, 19(1), 9-17.
[7] Elbeltagi, E. & Eng, P. (2009). Lecture notes on
construction project management. Mansoura University,
Egypt.
[8] Zou, P. X., Zhang, G., & Wang, J. Y. (2006, Jan).
Identifying key risks in construction projects: life cycle
and stakeholder perspectives. In: Pacific Rim Real Estate
Society Conference.
[9] Oberlender, G. D. (2014). Project management for
engineering and construction. McGraw-Hill Education.
[10] Koulafetis, P. (2017). Modern credit risk
management: Theory and practice. Palgrave Macmillan.

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DELAY FACTORS

  • 1. International Journal of Engineering and Management Research e-ISSN: 2250-0758 | p-ISSN: 2394-6962 Volume-11, Issue-1 (February 2021) www.ijemr.net https://doi.org/10.31033/ijemr.11.1.18 129 This Work is under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. Reasons for Delaying the Constriction Projects in Iraq Areej A. Alsaadi1 and Redvan Ghasemlounia2 1 M.Sc. Student, Department of Engineering Management, Faculty of Engineering, Istanbul Gedik University, TURKEY 2 Assisstant Professor, Department of Civil Engineering, Faculty of Engineering, Istanbul Gedik University, TURKEY 2 Corresponding Author: redvan.ghasemlounia@gedik.edu.tr ABSTRACT This article dealt with construction projects in Iraq, and the research focused on the risks that may affect these projects. The purpose of this study is to determine the risks that construction projects are exposed to in Iraq and the methods of dealing in order to reduce these risks. Sometimes, if the construction projects are similar to each other in terms of configuration, requirements and purpose, then changing the project site is very sufficient to make these projects differ from each other and thus may be exposed to different risks. These are risks that negatively affect the implementation of these projects and may lead to delay or increase in their cost. Here a questionnaire is designed to collect data to identify risks that may occur during the construction project phases. This questionnaire was distributed electronically to several samples in the public and private sectors within state institutions in Iraq. After completion, the risks that these projects may be exposed to were identified. This was done with engineers and managers of companies and projects working in the public, private and joint sectors, and then these risks were analyzed by the Social Sciences for Packet Statistical Test program(SPSS). Keywords-- Academic Qualification, Government Agencies, Social Sciences for Packet Statistical Test, Payment of Financial Dues, Project Budget, Project Risk Management I. INTRODUCTION The construction industry is one of the largest in the world. The increase in growth in this industry is an indicator of the economy and the condition of the country [1]. Construction projects in Iraq, as in other countries, require many resources, including manpower, finance, equipment, machinery, materials, and technical capabilities. All this makes construction projects vulnerable to risks that affect project implementation time and increase costs[2]. It is essential here to understand the nature of risk and its analysis to develop a strategy for managing and dealing with it. Here, the impact of each of them on the project must be explained, along with identifying the methods and procedures used to deal with these risks, which contribute to reducing the occurrence of these risks and their impact on the project. The risks associated with the project work phase must be studied and researched, as well as finding the corrective path that includes a modification in the course of work in one phase of the project's work to reduce these risks and also contribute to raising the level of work efficiency in the project in addition to monitoring and controlling the safety of these plans and verifying that they are under Actually implementation to ensure the safety of the subsequent project work stages [2]. For engineering and construction projects, the most important estimate is the advance and correct financial estimate of the project. Accurate early cost estimates are very important to companies and the engineering team [4]. Good planning for any project is the cornerstone of any good project. Careful planning, combined with good execution, leads to project success[4]. Among the most important objectives of this research: 1. Identify the causes of construction risks in construction projects in Iraq. 2. Determining the construction risks in Iraq. 3. Developing strategies to respond to these risks [3]. An electronic search was performed on (50) samples. Based on a questionnaire conducted to obtain information about the causes of these risks and measures taken to mitigate risks affecting construction projects in Iraq. The main study population in this questionnaire consists of engineers, contractors, and consultants in the Electricity Distribution Directorate, Babylon Governorate, and in Iraq in general [3]. II. LITERATURE REVIEW Risk management in projects is at present one of the main topics of concern to researchers and practitioners- Tioners who work in project management. Managing the risks designated as one of the project's eight-core areas Body of Knowledge Management (PMBOK) by the Institute for project management, which is the biggest pro- Project management- committed professional company. Also, most Project Training programs Managers have a Risk Management course. Beyond consideration generally recognized in project management as a phase of the life cycle, Project risk management (PRM) is often seen as a
  • 2. International Journal of Engineering and Management Research e-ISSN: 2250-0758 | p-ISSN: 2394-6962 Volume-11, Issue-1 (February 2021) www.ijemr.net https://doi.org/10.31033/ijemr.11.1.18 130 This Work is under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. phase that goes along with the project dentition by preparing, conducting, and control phases before ending and closing [5]. 2.1 Project Risk and Uncertainty of a Project Despite numerous studies of the risks, it still lacks a clear and understandable basis. Here we can come to two basic concepts related to risk: First, there is a consensus among professionals that risks often have negative consequences (delay in time, financial loss, etc.). Sometimes the risks can be positive . The positive risk here means any situation, situation, or event that will provide a potentially positive impact on the project. There are many examples of positive risks in projects: you can complete the project early; Or perhaps the delay in some paragraphs sometimes leads to more time to start another paragraph that was not planned insufficient time and so on [6]. 2.2 Estimate the Cost and Level of Project Development There are four main levels of risk mitigation. 1. Planning: early and appropriate planning to assess all project needs for funding and time for each paragraph, as well as to prioritize the necessary needs. 2. Define Scope: It is used to set the basic cost of the project. 3. Design: Pre-made estimates are used at different design levels to track changes in the estimated cost to complete a project in relation to the current budget initially allocated to the project. 4. Final Estimate: The engineer’s estimate is prepared for the final review of the contract in preparation for the announcement and is used in allocating funds for construction as well as for evaluating contractors ’bids for the purpose of obtaining[1]. 2.3 The main risks in projects 1. Customer risks 2. The risks are due to the designers 3. Risks due to contractors 4. Risks due to subcontractors 5. Risks caused by government agencies 6. Risks related to external issues 7. Incorrect risk management plan [7]. III. METHODOLOGY AND RESEARCH DESIGN The descriptive-analytical approach that relies on studying the reality as it is, in reality, was used to arrive at the results of the questionnaire, and by collecting and analyzing data statistically to test the validity of the study hypotheses. Statistical analysis of the data aims to test the following hypotheses: 1. The contractor bears full responsibility for most of the risks in the construction industry in Iraq. 2. Pre-construction risk management is not used in Iraqi construction enterprises. 3. Most of the risks are mitigated when they occur. The survey questionnaire was designed to meet the required purpose of the study population and the selected sample statistically, and then the questionnaire was prepared in its final form. The questionnaire was taken for 50 samples from the total population. The questionnaire form: Part 1 / Personal Information 1. Academic qualification : Bachelor’s degree Higher Diploma Master PhD 2. Years of Work Experience Less of 5 5 – 10 10 -15 More than 15 3. Type of work Contractor Owner Advisor Other 4. Sector Type Public Special Public and private 5. Current Workload Big project Medium project Small project Part 2 / Means of Remedying the Effects of Risks
  • 3. International Journal of Engineering and Management Research e-ISSN: 2250-0758 | p-ISSN: 2394-6962 Volume-11, Issue-1 (February 2021) www.ijemr.net https://doi.org/10.31033/ijemr.11.1.18 131 This Work is under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. Risk rating Responsibility of risk 1. Physical and human risks. The low production capacity of workers/breakdown of the machine Supply of low-quality materials Accidents happen due to a lack of safety precautions 2. Environmental and natural risks Natural disasters (floods) Difficulty accessing the site Inappropriate weather conditions 3. Design risks A mismatch between architectural and structural plans accuracy in calculating quantities A mismatch between quantities, plans, and specifications commissioning to incompetent designers 4. Logistical risks Inaccurate project scheduling Poor communication within the working range Shortage of labor, machinery, and materials 5. Financial risks Inflation Delayed payments as per contract Exchange rate instability Poor management of the contractor's cash flow 6. Legal risks The emergence of legal disputes during the implementation phase between the project parties and the delay in resolving them Difficulty obtaining the necessary permits to work 7. Risks directly related to the implementation Low level of quality of work due to time constraints of implementation Design change There is a difference between real and nodal quantities Implementation errors due to a misunderstanding of the plans, terms, and specifications 8. Political New government laws affecting work Security instability 9. Administrative risks Lack of necessary information Poor communication between the project parties Unclear planning due to project complexity Poor management of resources The owner The contractor The Consultant Another party
  • 4. International Journal of Engineering and Management Research e-ISSN: 2250-0758 | p-ISSN: 2394-6962 Volume-11, Issue-1 (February 2021) www.ijemr.net https://doi.org/10.31033/ijemr.11.1.18 132 This Work is under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. IV. RESULTS The statistical data analysis is done by computer using Statistical Package and Social Sciences for Packet Statistical Test (SPSS) software. To verify the validity and reliability of the questionnaire through internal consistency, correlation coefficients were calculated, which is a statistical measure to measure the strength of the relationship between the relative movements of two variables. Values range from (-1.0 to 1.0). The number is either greater than 1.0 or less than -1.0 which means that there is a correlation measurement error. This shows that the variables move in opposite directions - for a positive increase in one variable, there is a decrease in the second variable. If the correlation between two variables is 0, then there is no linear relationship between them. The strength of the relationship varies in degree based on the value of the correlation coefficient. For example, a value of 0.2 shows that there is a positive relationship between two variables, but it is weak and likely, not significant. Analysts in some areas of study do not consider correlations important until the value exceeds at least 0.8. However, a correlation coefficient with an absolute value of 0.9 or more represents a very strong correlation. Where the probability value is Sig. The associated correlation coefficients are less than the test-specific significance level α = 0.05. Accordingly, we conclude that the variable is true for what was measured[8].Constructive validity was also calculated, meaning constructive validity. It is one of the measures of the validity of measures, and it measures the extent to which the scale wants to reach, and it shows the extent to which each dimension of the study is related to the overall score of the paragraphs of the questionnaire [9]. Reliability was also calculated, which means accuracy and consistency of the respondents' answers, and consistency in results regardless of test frequency[10]. A fixed scale (questionnaire) is one that gives the same results that were applied to the same individuals and in the same circumstances again, as it indicates the extent of impartiality (free of errors) and indicates that the observed result from one of the measures is the true result of this scale. Among the most popular and important measures of measuring internal consistency for questionnaire paragraphs is Schönbach alpha, and Cronbach alpha values usually range from 0 to 1, with (0) indicating no relationship between items on a given scale, and (1) indicating absolute internal consistency. The value of the alpha correlation coefficient higher than (0.7) was acceptable and satisfactory, and higher than (0.8) which is very good, and it is considered higher than (0.9), and it reflects high internal stability[11]. Self-validity is an assessment of the extent to which the instrument measures what it is designed to measure, that is, the degree of validity of the results, and it determines whether the results obtained meet all the requirements of scientific research. method. Mathematically, honesty is the square of reliability[11].To ensure the validity and reliability of the questionnaire, the following statistical analyzes were performed: 1. Internal Consistency The internal consistency was calculated by the (SPSS) program and the correlation coefficients were calculated between each paragraph of the risk rating scale and the overall score of the variable, indicating that all correlation coefficients are statistically significant as the probability value is Sig. The associated correlation coefficients are less than the test-specific significance level α = 0.05. Therefore, we conclude that the variable is correct as it was. Table 1: Reliability and validity coefficient Variable Dimension Number of items Cronbach's alpha Self- Validity Coefficient Classifi cation of risks 9 29 0.89 0.94 Physical and human risks. 3 0.88 0.94 Environmental and natural risks 3 0.84 0.92 Design risks 4 0.86 0.93 Logistical risks 3 0.89 0.94 Financial risks 4 0.79 0.89 Legal risks 2 0.81 0.90 Risks directly related to the implementation 4 0.77 0.88 Political risks 2 0.79 0.89 Administrative risks 4 0.88 0.94 Means of remedy ing the effects of risks 2 12 0.83 0.91 Before the implementation phase risk 7 0.85 0.92 During the implementation risk 5 0.80 0.89 Symb ol Quantity Conversion from Gaussian and CGS EMU to SI a  magnetic flux 1 Mx  108 Wb = 108 V·s B magnetic flux density, magnetic induction 1 G  104 T = 104 Wb/m2 H magnetic field strength 1 Oe  103 /(4) A/m m magnetic moment 1 erg/G = 1 emu  103 A·m2 = 103 J/T M magnetization 1 erg/(G·cm3 ) = 1 emu/cm3  103 A/m 4M magnetization 1 G  103 /(4) A/m  specific magnetization 1 erg/(G·g) = 1 emu/g  1 A·m2 /kg j magnetic dipole 1 erg/G = 1 emu 10
  • 5. International Journal of Engineering and Management Research e-ISSN: 2250-0758 | p-ISSN: 2394-6962 Volume-11, Issue-1 (February 2021) www.ijemr.net https://doi.org/10.31033/ijemr.11.1.18 133 This Work is under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. 2. Constructive Validity The constructive validity was also calculated and it became clear that all correlation coefficients for all dimensions of the questionnaire are statistically significant because of the level of significance (Sig.) Associated with the correlation coefficients for the total degree of the questionnaire items is less than the specified likelihood value for α = 0.05. 3. Reliability When calculating reliability by finding Cronbach's alpha coefficients, which were all greater than (0.70), this is considered very acceptable from an administrative and statistical point of view, as the validity ratio indicates the accuracy of the measurement tool for the study. These results indicate that the prepared questionnaire will measure what has been developed to measure it with high accuracy as shown in table (1). V. CONCLUSION The long implementation period as well as interruptions during work, in most cases, lead to changing circumstances, which leads to multiple and sometimes unpredictable risks. Among the most important risks facing projects, which I concluded from the analysis that was based on the results of the above questionnaire: 1. There is a clear and major weakness in deducing the risks expected to occur in construction projects in Iraq. 2. The lack of a special department for risk management in most construction companies and establishments in Iraq. 3. Not using modern means to reduce risks before the construction stage. 4. Addressing or mitigating all risks, usually during the construction stages and when the danger occurs. 5. The contractor bears full responsibility for most of the risks involved in Iraqi construction projects. 6. Sometimes, due to the owner’s delay in paying the financial dues, this leads to a delay in completing the project on time and with the required quality, and this leads to increased costs, delayed completion of the project, and low quality of implementation because of the contractor who will try to complete the work quickly to reduce wasted time. 7. The causes of risks must be determined in advance by studying previous projects similar to the one to be sought, studying the risks exposed to and developing strategies to respond to them. REFERENCES [1] Mohajan, H. K. (2017). Two criteria for good measurements in research: Validity and reliability. Annals of Spiru Haret University. Economic Series, 17(4), 59-82. [2] Maurya, A. K., Yadav, R. K., Singh, A. K., Deep, A., & Yadav, V. (2020). Studies on correlation and path coefficients analysis in bread wheat (Triticum aestivum L.). Journal of Pharmacognosy and Phytochemistry, 9(4), 524-527. [3] Dybjer, P. & Colloquium, B. L. (2010). Program testing and constructive validity. [4] Schaefer, K. A., Wu, W. H., Colgan, D. F., Tsang, S. H., Bassuk, A. G., & Mahajan, V. B. (2017). Unexpected mutations after CRISPR–Cas9 editing in vivo. Nature Methods, 14(6), 547. [5] Hillson, D. (2003). Effective opportunity management for projects: Exploiting positive risk. CRC Press. [6] Raz, T., & Michael, E. (2001). Use and benefits of tools for project risk management. International Journal of Project Management, 19(1), 9-17. [7] Elbeltagi, E. & Eng, P. (2009). Lecture notes on construction project management. Mansoura University, Egypt. [8] Zou, P. X., Zhang, G., & Wang, J. Y. (2006, Jan). Identifying key risks in construction projects: life cycle and stakeholder perspectives. In: Pacific Rim Real Estate Society Conference. [9] Oberlender, G. D. (2014). Project management for engineering and construction. McGraw-Hill Education. [10] Koulafetis, P. (2017). Modern credit risk management: Theory and practice. Palgrave Macmillan.