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Investigating the determinants of construction project complexity impacting project success: an India perspective

ByMattison

Jan 4, 2024

In the Indian construction industry, cost and time overruns are major issues. Project complexity has been cited as a cause of the volatile cost and schedule performance of projects that impact their success. This paper explores significant project complexity determinants and examines the construct construction project complexity. Through a literature review, the study identified twenty-three determinants for project complexity that are specific to the project success parameters of time and cost. The mapping of complex system characteristics, project characteristics, and success parameters as derivable from existing theories was used. The 110 responses from industry experts collected through a survey questionnaire were used to rationalize and categorize these determinants. The data collected is analyzed by an affirmative approach to factor analysis based on maximum likelihood estimation. The goodness-of-fit indices determine the fitness of a model. The results of the analysis establish the validity of the data with sufficient evidence. The scale consists of the organizational, technological, and environmental factors, as well as emergent and goal-oriented information. This can give project managers a better understanding of the key factors that lead to improved decision-making in complex systems.

Keywords:

  • Complexity
  • Determinants
  • Construction Projects
  • management
  • Confirmatory Factor Analysis
  • Project Success

Acknowledgments

The authors wish to thank their colleagues at the Department of Building Engineering and Management and industry experts in construction for providing helpful comments and support to earlier material related to this article.

Contributions by Authors

Both authors contributed equally to the conception of the topic. The corresponding author was responsible for the methodology, literature searches, writing of the draft manuscript, and data collection, analysis, validation, and creation of figures and tables. Both authors have contributed equally to the conceptualization of a theoretical model. Before the manuscript was submitted and published, all authors had read it and approved of its content.

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Mattison

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