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Khalid KHAN PhD Defense

Factors Influencing the Success of Public Sector Projects in Pakistan
by

Khalid Ahmad Khan

on 25 August 2014

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Transcript of Khalid KHAN PhD Defense

Khalid Ahmad KHAN
PhD Defense

Factors Influencing the Success of Public Sector Projects in Pakistan
Project Success Criteria
Project Success Factors
Relationship between Project Success Factors and Success Criteria
Pakistan is part of South Asia a region that is home to 1.6 billion people

Gross fixed capital formation (GFCF) was 20% of Global and 31% of South Asian GDP

The success of public sector projects is a major issue for Developing countries

Initiatives like the Paris Declaration on Aid Effectiveness and the Accra Agenda for Action aim at improving public sector project design, selection and delivery

Public sector in general and especially in developing countries has received limited attention from researchers
7% of articles on Government sector between 1960 and 1999 is in a database of 3,554 journal articles Pinto, Cleland, and Slevin (2002) The Frontiers of Project Management Research
Limited understanding of
project success factors
and
success dimensions
in
public sector
projects of
developing countries
Knowledge Gap
Background
What are the project success criteria for public sector in Pakistan?

What are the project success factors for public sector in Pakistan?

What is the relationship between project success factors and project success criteria for the public sector projects in Pakistan?
Research Questions
Project Success
Sources for Project Success Factor Variables
Tsui, A. S. (1987)
Tishler, A., Dvir, D., et al (1996)
Andersen, E. S., & Jessen, S. A. (2000)
White, D., & Fortune, J. (2002)
Shenhar, A. J., Tishler, A., et al (2002)
Fortune, J., & White, D. (2006)
Hyvari, I. (2006)
Iyer, K. C., & Jha, K. N. (2006)
Khang, D. B., & Moe, T. L. (2008)
Kuen, C. W., Zailani, S., et al (2009)

Identified 331 project success factor variables

Reduced to 70 by eliminating duplicate/similar
Sources for Success Criteria Variables
Kerzner (1992)
Shenhar, A. J., Levy, O., et al (1997)
Turner (1997)
Waterridge (1998)
Lim, C. S., & Mohamed, M. Z. (1999)
Andersen, E. S., & Jessen, S. A. (2000)
White, D., & Fortune, J. (2002)
Westerveld, E. (2003)
Diallo, A., & Thuillier, D. (2004)
Bryde, D. J. (2005)
Khang, D. B., & Moe, T. L. (2008)
Thomas, G., & Fernández, W. (2008)
Muller, R., & Turner, J. (2007)
Al-Tmeemy, S. M. H. M., Abdul-Rahman, H., et al (2011)

Identified 156 project success criteria variables

Reduced to 34 by eliminating duplicate/similar
Project Success Dimensions
Project Success Criteria Variables
Sampling and Demographics
Method: Simple Random Sampling
Sampling frame: Stakeholders involved implementation of public sector projects in Pakistan
Source: PMI Chapters (Lahore, Islamabad, Karachi), list of organizations involved in public sector projects
Data Collection: Paper Form and World Wide Web (Survey Monkey)
Period: 2 months (1/07/12 to 31/08/12)
Response Rate: 29.5% (176 responses)
Sampling
Research Methodology
Framework of Research Study
Project Success Factors
Project Success Dimensions
Comparison of Project Success dimensions
Revised Research Model
H1: there is a positive relationship between Project success factors and Project efficiency
•H1a: there is a positive relationship between Project Management's Competence and Project efficiency
•H1b: there is a positive relationship between Organizational & managerial environment and Project efficiency
•H1c: there is a positive relationship between Financial & Technical Control and Project efficiency
•H1d: there is a positive relationship between Top Management Support and Project efficiency
•H1e: there is a positive relationship between Technical Tasks and Project efficiency
•H1f: there is a positive relationship between Personnel and Project efficiency
•H1g: there is a positive relationship between Project Characteristics and Project efficiency
•H1h: there is a positive relationship between Contractor/consultant performance and Project efficiency
Results from Hierarchical linear Regression
Answer to Research Questions
Exploring contingency factors for SF & SC variations
Extend research to Public sector of other developing countries
Developing understanding of personnel factor
Longitudinal study to develop a predictive success model
Thank You
Project Success Factors
Research
Literature Review
Critical Success Criteria Factors
KMO Measure of Sampling Adequacy 0.904
Bartlett's test of sphericity p<0.001
Anti-aliasing matrix individual KMOs > 0.846
KMO Measure of Sampling Adequacy 0.917
Bartlett's test of sphericity p<0.001
Anti-aliasing matrix individual KMOs > 0.871
Areas for Future Research
11 Feb 2013
Project Success Factor Variables
Personnel related success factor variables in success factor constructs
Beta coefficients in regression model
Practical implications of research
Management guidelines from Public sector project
Use of project success factors for improving project success
Improved understanding of project success
44
25
34 hypotheses supported
Supervisors
Dr. Azhar Khan
Dr. Tayyab Maqsood

Programme Administration
Pr. Rodney Turner
Pr. Laurence Lecoeuvre

SKEMA Team
Frédérique O'Brien
Full transcript