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Arora, R (1997) Role and influence of emerging social dynamics in decisions on investment opportunities in construction industry, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Bhattacharya, S (2011) Enablers of growth for construction companies in India: a strategic approach, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Chaphalkar, N B (2007) Expert system for resolution of delay claims in construction contracts, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Deshpande, S D (1988) Some facility planning techniques for construction site layouts, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Jayesh, M P (2020) Inter-state migration for employment in India: a study on construction workers in Kerala, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Jha, K N (2004) Factors for the success of a construction project: empirical study, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Johari, S (2021) Effect of socioemotional cognitive, and technical competencies of workers on construction labor productivity, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Kar, S (2021) Developing a decision support system for effective material management in construction, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Karimi, Z (2016) Construction project performance metrics: conceptualization, measurement and application in metro rail, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Kuldip, C (1989) OR applications in strategic sector constructions with capital budgeting, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Kulshrestha, M (1997) Total Value Control in Construction through Multiple Criteria Decision Making (MCDM), Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Kumar, R (2020) Risk management framework for construction projects aligned to actualities, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Kumar, S V (2019) Identification and modelling of risk factors, mitigation measures, and entry strategies for Indian construction firms in international markets, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Kumar, V S S (1993) Application of fuzzy set theory in construction management, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Maddah, R (2019) An analysis of risks faced by foreign construction firms in India and their effect on project performance, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Mathur, R N (1986) Perception of quality of working life and the related factors: a study of women workers in construction industry, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Mujumdar, P (2017) Modeling design interdependency and iteration for multiple two-way information exchanges in construction projects, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Padala, S P S (2020) Matrix-based framework for modeling changes across multiple entity types in construction projects, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Pandey, P (2019) Lean scheduling in construction projects: realistic milestone planning, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Panwar, A (2019) Development of a many-objective model based on NSGA-III for construction projects, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Patel, D A (2015) Estimating the number of fatal accidents and investigating the determinants of safety performance in indian construction, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Patil, S K (2016) Determining influencing factors and predicting dispute outcome of variation claims in Indian construction contracts/ by Smita Krishnarao Patil, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Sharma, R (1998) Organizational role stress:focus on executives of construction industry, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Sinesilassie, E G (2017) Determinants of success of public construction projects in Ethiopia, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
- Type: Thesis
- Keywords: competence; sustainability; specifications; health and safety; human resource management; quality control; Ethiopia; factor analysis; multiple regression; project performance; regression analysis; statistical analysis; case study; questionnaire survey
- ISBN/ISSN:
- URL: http://eprint.iitd.ac.in/handle/2074/7388
- Abstract:
Public construction projects play a vital role in the economic growth of a country. The performance of these projects greatly depends on some critical factors which are responsible for their success/failure. Hence, understanding of the impact of these critical factors on public project performances is considered to be a means of improving their efficiencies and effectiveness. The study was conceptualized and implemented in two phases. In phase one, a list of 35 attributes responsible for impacting the performance of the projects was identified based on a detailed literature review and presented to construction professionals in public construction projects in Ethiopia in the form of a structured questionnaire. The responses were collected and analysed. Statistical analysis of responses differentiated them into distinct sets of success attributes and failure attributes. The significant success and failure attributes were then ranked on the basis of different project performance criteria. For better understanding and to reduce the number of attributes, the success and failure attributes were subjected to factor analysis separately. After factor analysis, multivariate regression analysis were used to explore the relative importance of the factors extracted from factor analysis on various criteria of the success of public construction projects. The factor analysis yielded the following success factors for overall performance: project manager's competence, owner's competence, management support and updates, scope clarity, interaction among project participants, and monitoring and feedback. On the other hand, the following success factors were obtained for schedule performance: project manager's competence, interaction among project participants, scope clarity, monitoring and feedback, owner's competence, understanding responsibilities, pre-qualification, and adequate plans and specifications. The success factors obtained for cost performance were project manager's competence, scope clarity, owner's competence, monitoring and feedback, interaction among project participants, top management support, and quality control and assurance. The success factors obtained for quality performance were quality assurance/control and scope clarity, top management support and resource availability, project manager's competence, owner's competence, and interaction among project participants. Finally, the success factors obtained for no-dispute performance were availability of resources and pre-qualification, project manager's competence, top management support, owner's competence, interaction among project participants, construction meetings, and schedule and budget updates. On the other hand, the factor analysis yielded the following failure factors for overall performance: project manager's ignorance and lack of knowledge, indecisiveness of project participant, project specific factors, conflict among project participants, socio-economic and climatic conditions, and owner's incompetence. For schedule performance, the failure factors were conflict among project participants, project manager's ignorance and lack of knowledge, indecisiveness of project participants, unfavourable socio-economic and climatic conditions, project specific factors, and poor human resource management. The factors responsible for poor cost performance were conflict among project participants, project specific factors, indecisiveness of project participants, project manager's ignorance and lack of knowledge, socio-economic and climatic conditions, and owner's incompetence. For poor quality performance: conflict among project participants, indecisiveness of project participants, project specific factors, project manager's ignorance and lack of knowledge, poor human resource management, and hostile social and economic environment. For no-dispute performance the failure factors were conflict among vi project participants, indecisiveness of project participants, project manager's ignorance and lack of knowledge, socio-economic and climatic condition, and project specific factors. The relative importance of identified success factors was established with multiple regression analysis for overall performance, schedule performance, cost performance, quality performance, and no-dispute performance. Accordingly, the most important success factor for overall performance is found to be 'scope clarity'. 'Owner's competence' is the most important success factor when the objective is schedule performance. The factor 'scope clarity' is the most important success factor when the objective is cost performance. The factor 'quality assurance/control and scope clarity' is the most important success factor when the aim is quality performance, and the success factor 'owner's competence' is the most important when the aim is no-dispute performance. The relative importance of identified failure factors was also established with multiple regression analysis for overall performance, schedule performance, cost performance, quality performance, and no-dispute performance. The most important failure factor for overall performance is found to be 'project manager's ignorance and lack of knowledge'. 'Conflict among project participants' is the most important failure factor when the objective is schedule performance. The factor 'conflict among project participants' is the most important failure factor when the objective is cost performance. The factor 'project manager's ignorance and lack of knowledge' is the most important failure factor when the objective is quality performance, and the failure factor 'conflict among project participants' is the most important when the objective is no-dispute performance. These results would be helpful to public construction project professionals in enabling them to take appropriate proactive measures for the successful completion of public projects. In phase two of the study, identification of success criteria for each phase of public construction projects was done. Based on an extensive literature review a list of eleven success criteria was identified for public projects. This was followed by a questionnaire survey employing the Delphi method. The results show that success criteria such as time, cost, quality, technical performance, satisfaction of key project participants, and social responsibility are the most important criteria for the pre- construction phase, while time, cost, quality, no-dispute, health and safety, satisfaction of key project participants, technical performance, and social responsibility are the most important criteria for the construction phase. In the post-construction phase satisfaction of end-users and outsiders, environmental sustainability, and satisfaction of key project participants are found to be the most important criteria. It is pointed out that the relative importance of different success criteria depends on the different phases of a construction project. Validation of the results is provided through case studies. The study offers valuable resources for the improvement of public construction project performance.
Sundaram, T K (1989) Contract management: a rational approach to construction contract pricing, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Tabish, S Z S (2011) Critical success factors and fair performance in public construction projects, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Tripathi, K K (2018) Critical success factors for construction organizations in India, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.