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Critical Success Factors for Projects

  • Kumar Neeraj Jha
Chapter
Part of the Topics in Safety, Risk, Reliability and Quality book series (TSRQ, volume 23)

Abstract

The twenty success/failure factors derived in  Chap. 3 have been evaluated for their criticality in influencing the project outcome in terms of performance on schedule, cost, quality, and no-dispute. For the evaluation, data has been collected through a second stage questionnaire survey. For the analysis, multinomial logistic regression (explained briefly in this chapter) has been used. Knowing the project performance to be at a certain performance level it is now possible to identify the most critical factor to focus on for either sustaining the performance or enhancing the performance to a higher level. The analysis has established that the 3C’s (commitment, coordination, and competence) are the key factors for achieving schedule, cost, and quality objectives respectively.The research findings are validated through two fold approach: validation through case study and validation through structured interview. A total of twenty real life cases were studied and the research findings were found to be valid and consistent.

Keywords

Project Manager Success Factor Multinomial Logistic Regression Schedule Performance Project Participant 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Chan, A. P. C., Ho, D. C. K., & Tam, C. M. (2001). Effect of interorganizational teamwork on project outcome. Journal of Management in Engineering, ASCE, 17(1), 34–40.CrossRefGoogle Scholar
  2. Chan, D. W. M., & Kumaraswamy, M. M. (1997). A comparative study of causes of time overruns in Hong Kong construction projects. International Journal of Project Management, 15(1), 55–63.CrossRefGoogle Scholar
  3. Cheung, C. C., & Chuah, K. B. (1999). Conflict management styles in Hong Kong industries. International Journal of Project Management, 17(6), 393–399.CrossRefGoogle Scholar
  4. Cho, C. S., & Gibson, G. E. (2001). Building project scope definition using project definition rating index. Journal of Architectural Engineering, ASCE, 7(4), 115–125.CrossRefGoogle Scholar
  5. Crowley, L. G., & Karim, A. (1995). Conceptual model of partnering. Journal of Management in Engineering, ASCE, 11(5), 33–39.CrossRefGoogle Scholar
  6. Deutsch, M. (1994). Constructive conflict resolution: principles, training and research.Conceptual model of partnering. Journal of Social Issues, 50(1), 13–32.MathSciNetCrossRefGoogle Scholar
  7. Fellows, R., & Liu, A. (1997). Research methods for construction. London: Blackwell Science.Google Scholar
  8. Jefferies, M., Gameson, R., & Rowlinson, S. (2002). Critical success factors of the BOOT procurement system: reflections from the Stadium Australia case study. Engineering Construction and Architectural Management, 9(4), 352.Google Scholar
  9. Kumaraswamy, M. M. (1998). Consequences of construction conflict: A Hong Kong perspective. Journal of Management in Engineering, ASCE, 14(3), 66–74.CrossRefGoogle Scholar
  10. Lim, E. H., & Ling, F. Y. Y. (2002). Model for predicting client’s contribution to project success. Engineering Construction and Architectural Management, 9(5/6), 388–395.CrossRefGoogle Scholar
  11. Ling, Y. Y. (2002). Model for predicting performance of architects and engineers. Journal of Construction Engineering and Mnagement, 128(5), 446–453.CrossRefGoogle Scholar
  12. Songer, A. D., & Molenaar, K. R. (1997). Model for predicting client’s contribution to project success project characteristics for successful public-sector design-build. Journal of Construction Engineering and Management, ASCE, 123(1), 34–40.CrossRefGoogle Scholar
  13. SPSS 9.0.0. SPSS Inc., Headquarters, 233 S. Wacker Drive, 11th floor, Chicago, Illinois, 60606.http://www.spss.com.
  14. Tjosvold, D. (1991). The conflict positive organization: Stimulate diversity and create unity. Boston: Addison Wesley.Google Scholar
  15. Yin, R. K. (1984). Case study research design and methods. California: Sage Publications.Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.Department of Civil EngineeringIndian Institute of Technology DelhiHauz KhasIndia

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