Identifying New Knowledge Areas to Strengthen the Project Management Institute (Pmi) Framework

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In an increasingly volatile, uncertain, complex and ambiguous (VUCA) world, managers of capital pro­jects are under relentless pressure to consistently meet their performance expectations. At the execution stage, managers have to constantly orchestrate competing demands on scare resources and, simultaneously, manage project operations to meet time, costs and quality com­pliances. This calls for simple methods to distinguish factors that could cause execution stage delays and pri­oritise their remedial actions. The objective, therefore, was to propose and test a methodology through empiri­cal evidence, which could be useful for managers to focus on the distinguishing factors (rather than on all factors) to achieve execution excellence. We used a three-stage methodology leveraging the existing Project Management Institute (PMI) framework to define variables and then tested the methodology using case data generated from projects adopting a grounded theory approach. A set-theoretic, multi-value qualitative comparative analysis (QCA) tool helped appropriately configure this empirical case data and a subsequent Boolean minimisation tech­nique then identified the distinguishing factor(s) that explained superior project schedule performance. The results corroborated literature findings. Two contributions emerged from this study: (a) our methodology enabled a richer analysis of the case than what would have been possible by adopting a more conventional approach; and (b) there is a potential for a domain-specific extension of the PMI framework to cover technology transfer projects having their unique knowledge areas.

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  • Ahadzie D. Proverbs D. & Olomolaiye P. (2008). Critical success criteria for mass house building projects in developing countries. International Journal of Project Management 26(6) pp. 675-687.

  • Anantatmula V. S. (2015). Strategies for enhancing project performance. Journal of Management in Engineering 31(6) p. Article in Press.

  • Atkinson R. (1999). Project management: Cost time and quality two best guesses and a phenomenon it’s time to accept other success criteria. International Journal of Project Management 17(6) pp. 337-342.

  • Bakker R. M. Cambré B. Korlaar L. & Raab J. (2011). Managing the project learning paradox: A set-theoretic approach toward project knowledge transfer. International Journal of Project Management 29(5) pp. 494-503.

  • Barrett P. & Sutrisna M. (2009). Methodological strategies to gain insights into informality and emergence in construction project case studies. Construction Management and Economics 27(10) pp. 935-948.

  • Bassioni H. Price A. & Hassan T. M. (2004). Performance measurement in construction. Journal of Management in Engineering 20(2) pp. 42-50.

  • Chan A. P. C. & Sidwell T. (2001). Framework for Measuring Success of Construction Projects. Queensland University of Technology Brisbane Australia.

  • Coakes E. & Elliman A. (2011). Developing organisational stories through grounded theory data analysis: A case example for studying IS phenomena. International Journal of Sociotechnology and Knowledge Development 3(2) p. 16.

  • Cronqvist L. (2003). Using Multi-Value Logic Synthesis in Social Science. In 2nd General Conference of the European Consortium for Political Research (ECPR) [ September 2003] Marburg. Section 6 - Panel 8 pp. 1-22.

  • Dainty A. R. J. Cheng M.-I. & Moore D. R. (2003). Redefining performance measures for construction project managers: an empirical evaluation. Construction Management and Economics 21(2) pp. 209-218.

  • Eisenhardt K. M. (1989). Building theories from case study research. Academy of Management Review 14(4) pp. 532-550.

  • Goldkuhl G. & Cronholm S. (2003). Adding Theoretical Grounding to Grounded Theory: Toward Multi-Grounded Theory’ in 2nd European Conference on Research Methods in Business and Management. Reading UK.

  • Government of India (2013). Department of Fertilizers Annual Report 2012-2013 pp. 1-176.

  • Hajdu M. & Isaac S. (2016). Sixty years of project planning: history and future. Organization Technology and Management in Construction: an International Journal 8(1) pp. 1499-1510. doi:

    • Crossref
    • Export Citation
  • Hwang B.-G. Thomas S. R. & Caldas C. H. (2010). Performance metric development for pharmaceutical construction projects. International Journal of Project Management 28(3) pp. 265-274.

  • Iyer K. C. & Banerjee P. S. (2015). Facilitators and inhibitors in sector wide technology transfer projects in developing economies: An empirical study. The Journal of Technology Transfer p. 26. doi:

    • Crossref
    • Export Citation
  • Iyer K. C. & Banerjee P. S. (2016). Measuring and benchmarking managerial efficiency of project execution schedule performance. International Journal of Project Management 34(2) pp. 219-236.

  • Iyer K. C. & Banerjee P. S. (2017). Project ambidexterity: Case of recovering schedule delay in a brownfield airport project in India. Organization Technology and Management in Construction: An International Journal 9(1) pp. 1-18. doi:

    • Crossref
    • Export Citation
  • Iyer K. C. & Jha K. N. (2006). Critical factors affecting schedule performance: Evidence from Indian construction projects. Journal of Construction Engineering and Management 132(8) p. 871.

  • Jacobson C. & Choi S. O. (2008). Success factors: Public works and public-private partnerships. International Journal of Public Sector Management 21(6) pp. 637-657.

  • Jordan E. et al. (2011). Use and misuse of qualitative comparative analysis. Construction Management and Economics 29(11) pp. 1159-1173.

  • Krueger D. C. Parast M. M. & Adams S. (2014). Six Sigma implementation: a qualitative case study using grounded theory. Production Planning & Control: The Management of Operations 25(10) pp. 873-889.

  • Lam E. W. M. Chan A. P. C. & Chan D. W. M. (2004). Benchmarking design-build procurement systems in construction. Benchmarking: An International Journal 11(3) pp. 287-302.

  • Laufer A. Gordon D. R. & Shenhar A. J. (1996). Simultaneous management: The key to excellence in capital projects. International Journal of Project Management 14(4) pp. 189-199.

  • Lehmann H. (2010). Research method: Grounded theory for descriptive and exploratory case studies. In The Dynamics of International Information Systems Anatomy of a Grounded Theory investigation. 1st edn. Springer US pp. 53-65. doi:

    • Crossref
    • Export Citation
  • Ling F. Y. Y. & Liu M. (2004). Using neural network to predict performance of design-build projects in Singapore. Building and Environment 39(10) pp. 1263-1274. doi:

    • Crossref
    • Export Citation
  • Petlíková K. & Jarský Č. (2017). Modeling of the time structure of construction processes using neural networks. Organization Technology and Management in Construction: An International Journal 9(1) pp. 1559-1564. doi:

    • Crossref
    • Export Citation
  • Project Management Institute. (2007). Construction Extension to the PMBOK Guide Third Edition. Project Management Institute.

  • Project Management Institute. (2013). A Guide to the Project Management Body of Knowledge (PMBoK Guide). 5th edn. Newton Square PA: Project Management Institute.

  • Ragin C. C. (1987). The Comparative Method: Moving Beyond Qualitative and Quantitative Strategies. University of California Press Berkeley.

  • Ragin C. C. (1998). The logic of qualitative comparative analysis. International Review of Social History 43(Supplement) pp. 105-124.

  • Ragin C. C. (2005). Fuzzy sets and social research. Sociological Methods & Research 33(4) pp. 423-430.

  • Ragin C. C. (2006). Set relations in social research: Evaluating their consistency and coverage. Political Analysis 14(3) pp. 291-310.

  • Rihoux B. (2006). Qualitative comparative analysis (QCA) and related systematic comparative methods: Recent advances and remaining challenges for social science research. International Sociology 21(5) pp. 679-706.

  • Rihoux B. & De Meur G. (2008). Crisp set qualitative comparative analysis (csQCA). In: Rihoux B. & Ragin C. C. (eds.). Configurational Comparative Methods: Qualitative Comparative Analysis (QCA) and Related Techniques. Published: 2009 pp. 33-68. doi:

    • Crossref
    • Export Citation
  • Skaaning S.-E. (2011). Assessing the robustness of crisp-set and fuzzy-set QCA results. Sociological Methods & Research 40(2) pp. 391-408.

  • Strauss A. L. and Corbin J. M. (1998) Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory. SAGE Publications Thousand Oaks California.

  • Verweij S. & Gerrits L. M. (2013). Understanding and researching complexity with qualitative comparative analysis: Evaluating transportation infrastructure projects Evaluation 19(1) pp. 40-55.

  • Wright E. R. Cho K. & Hastak M. (2014). Assessment of critical construction engineering and management aspects of nuclear power projects. Journal of Management in Engineering 30(4) pp. 1-11. doi:

    • Crossref
    • Export Citation
  • Yin R. K. (2003) Case Study Research: Design and Methods. 3rd edn. SAGE Publications Thousand Oaks CA.

  • Zhang X. (2005). Improving concessionaire selection protocols in public/private partnered infrastructure projects. Journal of Construction Engineering and Management 130(5) pp. 670-679.

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