Utilizing Project Management Techniques to Model Critical Success Factors in Large-Scale Construction Projects

This study investigates the application of project management techniques to model critical success factors (CSFs) in large-scale construction projects, utilizing Confirmatory Factor Analysis (CFA) to validate the measurement model. Through factor level analysis, eight distinct categories of CSFs were identified, highlighting their significance in project management success. The structural model analysis revealed positive correlations between project management success and CSFs, impacting project-level outcomes such as customer satisfaction, team satisfaction, and project profitability. Strong predictive validity and appropriate model fit were demonstrated through R-squared and Q-squared values, as well as WarpPLS analysis. The study's theoretical implications include a clear differentiation between project management success and project success, while practical implications underscore the importance of leveraging success factors to enhance project outcomes. Overall, the research provides valuable insights for improving the management and performance of large-scale construction projects.

Authors

Publication Details

Journal
American Journal of Economics and Business Management
Published
2024-08-31
DOI
https://doi.org/10.31150/ajebm.v7i8.2901
Citations
1
Primary Topic
Construction Project Management and Performance
Type
article
Field-Weighted Citation Impact
0.49
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article

Utilizing Project Management Techniques to Model Critical Success Factors in Large-Scale Construction Projects

Sabah Noori Hammoodi Al Ani
1 citations
American Journal of Economics and Business Management
Construction Project Management and Performance
0.49
article

Utilizing Project Management Techniques to Model Critical Success Factors in Large-Scale Construction Projects

Sabah Noori Hammoodi Al Ani
article en
1 citations

Abstract

This study investigates the application of project management techniques to model critical success factors (CSFs) in large-scale construction projects, utilizing Confirmatory Factor Analysis (CFA) to validate the measurement model. Through factor level analysis, eight distinct categories of CSFs were identified, highlighting their significance in project management success. The structural model analysis revealed positive correlations between project management success and CSFs, impacting project-level outcomes such as customer satisfaction, team satisfaction, and project profitability. Strong predictive validity and appropriate model fit were demonstrated through R-squared and Q-squared values, as well as WarpPLS analysis. The study's theoretical implications include a clear differentiation between project management success and project success, while practical implications underscore the importance of leveraging success factors to enhance project outcomes. Overall, the research provides valuable insights for improving the management and performance of large-scale construction projects.

American Journal of Economics and Business ManagementVol. 7(8)
Openalex Percentile: Top 31%
Construction Project Management and Performance
0.49
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