EVALUATION OF CONSTRUCTION PROJECT’S SUCCESS...
Transcript of EVALUATION OF CONSTRUCTION PROJECT’S SUCCESS...
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International Journal of Civil Engineering and Technology (IJCIET)
Volume 10, Issue 11, November 2019, pp. 184-197, Article ID: IJCIET_10_11_020
Available online at http://www.iaeme.com/ijciet/issues.asp?JType=IJCIET&VType=10&IType=11
ISSN Print: 0976-6308 and ISSN Online: 0976-6316
© IAEME Publication
EVALUATION OF CONSTRUCTION PROJECT’S
SUCCESS FACTORS
Ahmed Nouh
Assistant professor of Construction Engineering & Management,
Civil Engineering Department, Faculty of Engineering, Benha University, Egypt.
E-mail: [email protected]
Khaled Aboulata Hussein
Deputy Audit Director, Department of Internal Audit & Support,
Orascom Construction, Cairo, Egypt
E-mail: [email protected]
ABSTRACT
Purpose of this paper: This research aims to develop new approach to identify
and evaluate the main factors, which affect construction project success.
Methodology: Objectives of this research was achieved through the design of
questionnaire to evaluate the importance of each factor by project management
experts. After receiving 113 responses, the relative importance of each factor was
calculated by the Sigma Level (L) concept and the weight of each factor was
calculated according to the contribution of each factor to the total L summation.
Questionnaire results was validated through several meetings with project managers
and performing Paired test to confirm that there is no significant difference between
project managers’ opinion and the results of questionnaire.
Findings: Results of questionnaire revealed that experts believe that top five
factors are: Scope, Time, Quality, Cost & Stakeholders Management in descending
order. Paired test confirmed that there is no significant difference between project
managers and expert opinions.
Research limitations: This research didn’t consider the impact of project phase
over the importance of each factor. As an example, the scope factor may become less
important at the closing phase with respect to the planning phase.
Practical implications: The results of this research could be used to develop an
automated system to evaluate the project in quantitative way, rather than the usual
qualitative methods.
Originality: This research adopted a new approach to evaluate the relative
importance of success factors using the Sigma Level (L) concept.
Keywords: Construction Project Success Factors; Project Management; Project
Assessment; Project Evaluation; Project Review; Project Audit
Evaluation of Construction Project’s Success Factors
http://www.iaeme.com/IJCIET/index.asp 185 [email protected]
Cite this Article: Ahmed Nouh and Khaled Aboulata Hussein, Evaluation of
Construction Project’s Success Factors. International Journal of Civil Engineering
and Technology 10(11), 2019, pp. 184-197.
http://www.iaeme.com/IJCIET/issues.asp?JType=IJCIET&VType=10&IType=11
1. INTRODUCTION
Construction projects have gained the world attention due its huge utilization of resources and
significant impact over project stakeholders. Project management institute (PMI) identified
stakeholder as “any person or entity affect or affected by the project”. [1]
The enormous project value and tremendous number of stakeholders explain the impact of
construction industry over the world economy.
The main objective of stakeholders is to ensure the success of construction project to
achieve their objectives effectively and efficiently.
2. PROJECT SUCCESS FACTORS
In order to identify the construction project success factors, a literature review was performed
to explore previous researches performed in this field. [2-14]
After collecting success factors, a questionnaire was designed to collect responses of
project management experts. The questionnaire aimed to collect the experts’ evaluation of
each success criterion and to explore if experts have other success factors, which was not
mentioned in questionnaire.
The first section of questionnaire included information related to respondent’s Age,
education, experience & project management knowledge.
The second section of questionnaire included the information related to the respondent’s
organization such as organization type (owner, consultant, contractor, supplier), total number
of employees & projects’ location.
The third section of questionnaire included the opinion of each respondent towards the
importance of each factor on a Likert scale from 1 to 5 (1 for the least importance and 5 for
the highest importance factor).
The last section of questionnaire includes an open question asking each respondent to
recommend any success factor of construction project, which was not mentioned at the
survey.
3. SAMPLE SIZE CALCULATION
The questionnaire was distributed to local and global experts in construction industry.
To determine the minimum sample size required to respond to the questionnaire, we have
used the Central Limit Theorem, standard error is inversely proportional to the square root of
sample size [15]
, according the following equation:
√ Where, (S) is the Standard Error and (n) is the Sample Size
Ahmed Nouh and Khaled Aboulata Hussein
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Figure 1: Sensitivity Analysis of Sample Size & Associated Error
The blue dot in the above graph represents the existing error associated with the collected
113 responses. It is clear that increasing the sample size from 100 to 200 will not affect the
error in a significant manner.
Sample size will also be subjected to further analysis at result validation section to ensure
the accuracy of results.
4. QUESTIONNAIRE RESULTS
One hundred and thirteen responses were received. Summary of results is as follows.
4.1. Respondent’s Information
The first section of questionnaire revealed the following information:
More than 41% of respondents were at age between 30 to 39 working at managerial position
with experience at project management between 5 to 15 years.
77% of respondents had engineering background, while the remaining respondents came from
different background including management, accounting and others.
58% of respondents had Bachelor degree, while other respondents had post graduate studies,
including Diploma, Master and Philosophy Degree.
45% of respondents had Project Management Professional certificate, 39% had another project
management certificate, while 16% had no project management certificate or training.
The following graphs include summary of all responses.
Evaluation of Construction Project’s Success Factors
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Figure 2: Age
Figure 3: Experience
Figure 4: Education Background
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Figure 5: Education Level
Figure 6: Project management training or certificate
Figure 7: Position
4.2. Organization’s Information
The second section of questionnaire revealed the following information:
74% of respondents belonged to contractor organization, 12% consultant, 8, owner & 6%
supplier or service provider organization.
61% of respondents’ organization hires more than 1000 employees, 27% hires between 100 to
1000 employees and 12% had less than 100 employees.
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Respondents’ organization had projects all over the world at Africa, Asia, Europe, Australia,
North & South America.
The following graphs include summary of all responses.
Figure 8: Organization Field
Figure 9: Average Number of Organization Employees
Figure 10: Projects' Location
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4.3. Respondents’ Opinion
The third section of questionnaire included the respondents’ opinion of the impotency of each
success factor over construction project.
One of the major problems in collecting people responses is the huge variation in opinion,
due the existing differences in respondents’ knowledge, experience, culture, perspective
…etc. This variation may give a misleading results, which will negatively affect the integrity
of research. A box plot can be very helpful to study the existing variation in each response.
A box plot is a rectangular graph, which includes the interquartile range q1, q2 & q3.
q1: the value more than or equal to the 25% of the data
q2: the value more than or equal to the 50% of the data
q3: the value more than or equal to the 75% of the data
Interquartile rang (IQR) = q3 – q1
A line, which is called in many references whisker, extends to the minimum & maximum
of data within 1.5 * Interquartile rang (IQR) less than q1 or more than q3.
Data out of whiskers rang is marked as outlier.
The following box plot was drawn to visualize the nature and magnitude of variation in
each factor’s responses.
The (*) symbol in graph indicates an outlier in responses. Outlier is an extreme unusual
value. It doesn’t matter it is extremely high or extremely low, but the main important
conclusion is that, most probably, this value doesn’t belong to the distribution.
Despite of this fact, we could avoid the impact of outliers in collected responses by
applying the famous statistical formula of Sigma Level (L) to obtain the relative importance
which could be assigned to each factor. [16]
Sigma Level (L) is a measure of process capability to achieve the planned target.
Sigma Level (L) =
The idea behind Sigma Level is that process becomes more capable when the distance
between the average of performance and the limits (minimum/maximum) increase, due to the
reduced probability of violation of these limits (assuming that the process average is located
between minimum and maximum limits).
Also according to the same equation, the process becomes more capable when variation is
decreased, due to the reduced probability of violation of the same limits.
The above graph explains the concept of Sigma Level, as the performance of each supplier
is evaluated by the Sigma Level value, which was calculated by dividing the distance from the
average of each supplier to the nearest limits (minimum or maximum) over the standard
deviation of each supplier.
The higher Sigma Level means higher capability and higher probability of conforming to
the agreed limits and achieving the planned targets.
To apply the formula of Sigma Level (L) over the questionnaire’s responses and obtain
the relative importance of each factor, we can use the following equation:
Relative Importance of any factor =
The reason behind using this equation is simple. According to the above equation, the
factor will acquire higher importance by having a higher average value from questionnaire’s
respondents, which reflects the importance of this factor over the project success. On the other
hand, at the same equation, factor will also acquire higher importance by having less variation
Evaluation of Construction Project’s Success Factors
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from questionnaire’s respondents, which reflects the less of doubts in the evaluation of this
factor.
After obtaining the relative importance of each factor has over project success, we can use
the summation of all factors importance to obtain the weight of each factor.
The following table includes success factors’ importance and weight in descending order.
Table 1: Project Success Factors’ Weight
Factor Av. S. Dev. L W
1 Scope Management (Successful completion of approved
work)
4.2 0.9 4.8 5.64
2 Time Management (Commitment to agreed time schedule) 4.2 1.0 4.3 5.04
3 Quality Management (Commitment to technical
specifications & requirements)
4.0 1.0 4.2 4.89
4 Cost Management (Commitment to estimated budget) 4.1 1.0 4.1 4.81
5 Stakeholders Management (Successfully Meeting
expectations of stakeholders such as owner, consultant,
supplier, subcontractor ...etc.)
4.0 1.0 3.9 4.57
6 Owner and consultant support (Cooperation and support of
owner and consultant with contractor to fulfill the project
successfully)
4.0 1.0 3.8 4.43
7 Equipment Management (Efficient usage of equipment) 3.8 1.0 3.8 4.40
8 Leadership (Management ability to lead project team to
achieve objectives)
4.0 1.1 3.7 4.37
9 Governance (Compliance with company policy &
procedures)
3.8 1.0 3.7 4.33
10 Risk Management (Appropriate response to business
threats & opportunities)
3.8 1.0 3.7 4.31
11 Material Management (Efficient usage of material) 3.8 1.0 3.7 4.29
12 External Factors (Market conditions ...etc.) 3.5 1.0 3.6 4.26
13 Safety Management (Appropriate response to safety
hazards)
3.9 1.1 3.6 4.24
14 Human Resources Management (Efficient usage of project
team)
3.7 1.0 3.6 4.22
15 Compliance (Commitment to all applicable laws and
regulations)
4.0 1.1 3.6 4.18
16 Communications Management (Timely exchange of
required information)
3.9 1.1 3.6 4.17
17 Change Management (Ability to adopt with new
requirements)
3.7 1.0 3.6 4.16
18 Procurement Management (Appropriate fulfillment of
project needs)
3.9 1.1 3.5 4.12
19 Sustainability (Ecology, Economics, Politics and Culture) 3.4 1.0 3.5 4.06
20 Knowledge Management (Obtaining knowledge required
for project work & documenting lesson learned after
execution)
3.8 1.1 3.4 4.02
21 Contract & Claim Management (Successful management
of contract & claims with owner or vendors)
3.6 1.1 3.4 3.96
22 Integration (Effective coordination between different
project disciplines)
3.8 1.1 3.3 3.88
23 Environmental Management (Appropriate response to
environmental hazards)
3.5 1.1 3.1 3.64
Ahmed Nouh and Khaled Aboulata Hussein
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According to the above results, management experts believe that top five factors affecting
construction project success are: Scope, Time, Cost, Leadership & Quality, in descending
order.
4.4. Respondents Recommendations
Out of the 113 responses, 22 respondents recommended additional success factors, which they
think were not mentioned at the survey. It could be recognized clearly that the additional
factors were embedded somehow in the original factors suggested by the study, but with a
deferent terminology.
Additional success factors recommended by participants will be mentioned here followed
by the relevant factors existing in the original questionnaire:
1. Technology aspect: suitable software applications such as program management apps,
material tracking systems. Specific monitor and control tools, clear identification of scope
into work packages. Setting projects specific procedures, specific measurements and KPIs.
Learning and development needs communications.
Factors are considered in Governance, Scope & Knowledge Management.
2. Delegation, motivation
Factors are considered in Human Resources Management.
3. Internal Environment, Clear objective settings (vision and mission), Information and
Communication.
Factors are considered in Governance, Scope, Knowledge & communication Management.
4. Relevant information is identified, captured, and communicated in a form and timeframe
that enable people to carry out their responsibilities- Effective monitoring through ongoing
participation of management, separate evaluations
Factors are considered in Governance, Owner and consultant support, Knowledge &
communication Management.
5. Team building and allying target
Factors are considered in Governance & Human Resources Management.
6. Harmony of organization and tone at the top, company cash flow.
Factors are considered in Governance, Human Resources & Cost Management.
7. Instead of defining Stakeholders Management as being "meeting expectations of client,
consultant, subs …etc.", I believe the definition should be: meeting expectations of client and
consultant within the requirements of the contract documents." This is because any client
normally pushes beyond the scope of the contract. Regarding the subcontractors and
suppliers, these should have different factor, say: "Vendors Management", and should not be
about meeting their expectations, but rather about managing and coordinating their scope of
work in the manner that makes them provide their service within the scheduled dates, with
enough clarity and scope definition to avoid conflicts that may hinder their work.
Factors are considered in Owner and consultant support, Scope, Procurement & Contract
Management.
8. Variance Management
Factors are considered in Scope & Contract Management.
9. Social engineering techniques
Factors are considered in Governance & Human Resources Management.
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10. Tendering phase, Proper org chart and reporting lines, Support from top management,
Practical schedules and feasible budgets.
Factors are considered in Governance Schedule, Cost & Human Resources Management.
11. All the above are important. Production Management is absolutely critical. As Bughin
Manyika Woetzel 2017 Reinventing-Construction- a route to higher Productivity-McKinsey
Global Institute report on p.9 [17]
the use of the Last Planner System or something equivalent
is vital for rigorous production planning. construction is both a people and production
process. In addition, selections the builders and the designers at the same time enables the
production process to be designed as the facility is being designed. with good governance (see
e.g. Fischer et al 2017 Integrating project Delivery (Wiley) [18]
this reduces project duration
and cost.
Factors are considered in Quality & Procurement Management.
12. Government Roles (law & regulation, policy, incentive
Factors are considered in Compliance, Contract & Claim Management.
13. Method of procurement; contractor incentivizing
Factors are considered in Procurement, Contract & Claim Management.
14. Contract management
Factor is considered in Contract & Claim Management.
15. Financial Management
Factor is considered in Cost Management.
16. Smoothing work hours
Factor is considered in Human Resources Management.
17. Motivation
Factor is considered in Human Resources Management.
18. Human resources
Factor is considered in Human Resources Management.
19. Team spirit
Factor is considered in Human Resources Management.
20. The project management approach
Factors are considered in Scope, Quality, Schedule & Coast Management.
21. Training of project teams
Factor is considered in Human Resources Management.
22. Motivation, fairness, respect for the staff
Factors are considered in Governance & Human Resources Management.
5. RESULT VALIDATION
The first step in results’ validation is to make sure that sample size was sufficient to give
accurate results.
According to Central Limit theory, the confidence interval of results could be obtained
with 95% confident, through the following equation:
Standard Error = ±
√
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Therefore, the highest & lowest accuracy of results could be obtained by using the lowest
and highest standard deviation results in table 1, through the following equations:
Standard Error = ±
√ = ± 0.17 Highest accuracy
Standard Error = ±
√ = ± 0.21 Lowest accuracy
The above equations showed that the standard error will not exceed ± 0.21 with 95%
confident, which represent sufficient accuracy of results.
The second step of validation is to make sure that the project management expert opinion
matches the project manager opinion. Several meetings were held with construction project
managers of residential & commercial buildings in Egypt to validate the questionnaire results.
Project managers have provided their opinion of the success factors separately. Average of
project managers’ response was calculated and compared with the average obtained from the
113 respondents.
The following table includes the success factors of construction project, in descending
order, according to the average of project managers’ opinion.
Table 2: Validation of Results by Project Managers
Factor Av. of PM Av. Of 113
Respondents
1 Cost Management (Commitment to estimated budget) 4.8 4.1
2 Safety Management (Appropriate response to safety hazards) 4.8 3.9
3 Leadership (Management ability to lead project team to achieve
objectives)
4.8 4.0
4 Time Management (Commitment to agreed time schedule) 4.6 4.2
5 Scope Management (Successful completion of approved work) 4.4 4.2
6 Quality Management (Commitment to technical specifications &
requirements)
4.4 4.0
7 Communications Management (Timely exchange of required
information)
4.4 3.9
8 Integration (Effective coordination between different project disciplines) 4.4 3.8
9 Owner and consultant support (Cooperation and support of owner and
consultant with contractor to fulfill the project successfully)
4.4 4.0
10 Procurement Management (Appropriate fulfillment of project needs) 4.2 3.9
11 Material Management (Efficient usage of material) 4 3.8
12 Knowledge Management (Obtaining knowledge required for project
work & documenting lesson learned after execution)
4 3.8
13 Environmental Management (Appropriate response to environmental
hazards)
4 3.5
14 Governance (Compliance with company policy & procedures) 4 3.8
15 Compliance (Commitment to all applicable laws and regulations) 3.8 4.0
16 Change Management (Ability to adopt with new requirements) 3.8 3.7
17 Human Resources Management (Efficient usage of project team) 3.6 3.7
18 Stakeholders Management (Successfully Meeting expectations of
stakeholders such as owner, consultant, supplier, subcontractor ...etc.)
3.6 4.0
19 Sustainability (Ecology, Economics, Politics and Culture) 3.6 3.4
20 Equipment Management (Efficient usage of equipment) 3.4 3.8
21 External Factors (Market conditions ...etc.) 3.4 3.5
22 Risk Management (Appropriate response to business threats &
opportunities)
3.2 3.8
23 Claim Management (Successful management of claims with owner or
vendors)
3.2 3.6
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It is obvious that the average of each factor is not the same, however that we need to know
if this difference is statistically significant.
Test of hypotheses was performed to study the significance of difference between average
of project managers’ opinions and the average from 113 respondents.
Null hypothesis (Ho):
Average of project managers’ opinions = Average from 113 respondents
Alternative hypothesis (H1):
Average of project managers’ opinions ≠ Average from 113 respondents
Paired test was recommended due to its ability to study the statistical significance in two
variables, while taking into consideration the order of each value, which we need hear to
check the difference in each factor.
Paired test required two main conditions. First, both samples should be normally
distributed. Second, Sample size should be enough.
Test of normality was performed by Minitab software to check that both samples are
normally distributed and P-value of both average of project managers’ opinions and the
average from 113 respondents are 0.3 & 0.86 respectively (higher than 0.05). This means that
both samples are normal and the first condition is valid.
In order to estimate the minimum sample size, the difference between average of project
managers’ opinions and the average from 113 respondents was calculated and its mean and
standard deviation was 0.2 & 0.5 respectively.
Minimum sample size required to perform Paired test was calculated by Minitab software
to be 5, which means that the second condition is valid.
Paired test was performed by Minitab software and the P-value was 0.7 (higher than 0.05),
which indicates that we failed to reject the null hypothesis.
Final conclusion obtained from the paired test stated that there is No Significant
Difference between average of project managers’ opinions and the average from 113
respondents. Therefore, we can rely on the results of the questionnaire.
6. CONCLUSION
Results of questionnaire revealed that experts believe that top five factors are: Scope, Time,
Quality, Cost & Stakeholders Management in descending order. Paired test confirmed that
there is no significant difference between project managers and expert opinions.
Hence, results of this research could be used to develop an automated system to evaluate
the project in quantitative way, rather than the usual qualitative methods.
REFERENCES
[1] Guide to the Project Management Body of Knowledge.
https://www.academia.edu/39204743/Guide_to_the_Project_Management_Body_of_Kno
wledge_PMBOK_Guide_6th_Edition. Date accessed: 2017.
[2] A framework for determining critical success factors influencing construction business
performance.
https://www.researchgate.net/publication/228837614_A_framework_for_determining_crit
ical_success_factors_influencing_construction_business_performance. Date accessed:
10/1999.
Ahmed Nouh and Khaled Aboulata Hussein
http://www.iaeme.com/IJCIET/index.asp 196 [email protected]
[3] A qualitative study on construction project success factors in dynamic project
environments Chi Iromuanya (2012)
https://search.proquest.com/openview/7c55ffa680038b872ceeb264ae9e7269/1?pq-
origsite=gscholar&cbl=18750&diss=y
[4] Analysis of success and failure factors in application of web-based project management
systems in construction.
https://www.researchgate.net/publication/27233594_Analysis_of_success_and_failure_fac
tors_in_application_of_Web-based_project_management_systems_in_construction. Date
accessed: 01/2003.
[5] Contributory success factors for projects with the project management profession: a
quantitative analysis. https://www.semanticscholar.org/paper/Contributory-success-
factors-for-projects-with-the-Oren/2b13435e425a7656b3ba3c3834e1a96d71980ce1. Date
accessed: 2009.
[6] Hafez SM, Aziz RF, Morgan ES, Abdullah, Ahmed EK. Critical factors affecting
construction labor productivity in Egypt. American Journal of Civil Engineering. 2014, 2
(2), pp. 35-40.
[7] Critical success factors for construction projects.
https://aip.scitation.org/doi/pdf/10.1063/1.4965067. Date accessed: 2013.
[8] Examining the dynamics of project key success factors, Kenneth Asare Akuoko (2012)
https://julac.hosted.exlibrisgroup.com/primo-
explore/fulldisplay?docid=HKU_IZ51532025520003414&context=L&vid=hku_er&lang=
en_US&search_scope=HKU_ER&adaptor=Local%20Search%20Engine&tab=er&query=
any,contains,Examining%20the%20Dynamics%20of%20Project%20Key%20Success%20
Factors&offset=0
[9] Ling FYY, Liu M. Factors considered by successful and profitable contractors in mark-
upsize decision in Singapore. Building and Environment. 2005, 40 (11), pp. 1557-1565.
[10] Practical Project Management. https://books.google.co.in/books?id=Gl8K-
OOZxewC&pg=PA508&lpg=PA508&dq=Practical+Project+Management,+H.+A.+Levin
e+(2002)&source=bl&ots=Xv8Ih1aE9V&sig=ACfU3U37lwwYDxUeqt_7AZTo9-
MMZbnjSg&hl=en&sa=X&ved=2ahUKEwjEloC1-
ffkAhXy63MBHXCXCcIQ6AEwAXoECAkQAQ#v=onepage&q=Practical%20Project%
20Management%2C%20H.%20A.%20Levine%20(2002)&f=false. Date accessed: 2002.
[11] Identification of critical success factors.
https://books.google.co.in/books/about/Identification_of_Critical_Success_Facto.html?id=
FfNPOAAACAAJ&redir_esc=y. Date accessed: 2002.
[12] Project management and engineering research, José Luis Ayuso Muñoz (2014)
https://www.springer.com/gp/book/9783319922720
[13] Success / failure factors and performance measures of web-based construction project
management systems.
https://www.researchgate.net/publication/245283482_SuccessFailure_Factors_and_Perfor
mance_Measures_of_Web-
Based_Construction_Project_Management_Systems_Professionals'_Viewpoint. Date
accessed: 01/2006.
Evaluation of Construction Project’s Success Factors
http://www.iaeme.com/IJCIET/index.asp 197 [email protected]
[14] Westerveld E. The project excellence model - linking success criteria and critical success.
International Journal of Project Management. 2003, 21, pp. 411-418.
[15] Applied Statistics & Probability For Engineers, Douglas C Montgomery (2003)
http://www.um.edu.ar/math/montgomery.pdf
[16] The Certified Six Sigma Black Belt Handbook. https://asq.org/quality-press/display-
item?item=H1494. Date accessed: 2016.
[17] Reinventing-Construction- a route to higher Productivity, Bughin Manyika Woetzel,
mckinsey 2017
https://www.mckinsey.com/~/media/McKinsey/Industries/Capital%20Projects%20and%2
0Infrastructure/Our%20Insights/Reinventing%20construction%20through%20a%20produ
ctivity%20revolution/MGI-Reinventing-Construction-Executive-summary.ashx
[18] Integrating project Delivery, Fischer (Wiley) 2017 https://www.wiley.com/en-
eg/Integrating+Project+Delivery+-p-9780470587355