Skip to main content

Advertisement

Log in

PLS-SEM Approach for Predicting the Success of Public–Private Partnerships in Construction Projects: Indian Context

  • Research Paper
  • Published:
Iranian Journal of Science and Technology, Transactions of Civil Engineering Aims and scope Submit manuscript

Abstract

Over the past few decades, public–private partnerships have predominantly gained momentum not only in developed countries but also in developing countries. The project under PPP involves variety and variability of participants who will have different perspectives and outlook toward project success. This research paper is targeted to discover, scrutinize, and recapitulate the significant variables which uphold success using the PLS-SEM model among all the variables adopted. In this current study, the demographic profile of the respondents was harmonized with the nine domains, which have a considerable impact on project success, which in turn promotes the predetermined success outcomes of the PPP projects. The findings suggest that the demographic profile of the respondents includes experience, the number of projects handled, project size and location, educational qualification, and field of expertise has a 66 percent impact on achieving success. The value obtained for R square (0.660) has a considerable effect on attaining the success of PPP in construction projects.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Abdel Azziz AM (2007) Successful delivery of public-private partnerships for infrastructure development. J Constr Eng Manag 133(12):918–931

    Article  Google Scholar 

  • Amato PR, Keith B (1991) Parental divorce and adult well-being: a meta-analysis. J Marriage Fam 53(1):43–58

    Article  Google Scholar 

  • Chan APC, Yeung JFY, Yu CCP, Wang SQ, Ke Y (2011) Empirical study of risk assessment and allocation of public-private partnership projects in China. J Manag Eng 27(3):136–148

    Article  Google Scholar 

  • Cheung E, Chan APC (2011) An evaluation model for assessing the suitability of public–private partnership projects. J Manag Eng 27(2):80–89

    Article  Google Scholar 

  • Chin WW (1998) Issues and opinion on structural equation modeling. MIS Q 22(1):7–16

    Google Scholar 

  • Doloi H, Sawhney A, Iyer KC, Rentala S (2012) Analysing factors affecting delays in Indian construction projects. Int J Proj Manag 30(4):479–489

    Article  Google Scholar 

  • El-Gohary NM, Osman H, El-Diraby TE (2006) Stakeholder management for public–private partnerships. Int J Proj Manag 24:595–604

    Article  Google Scholar 

  • Falk RF, Miller NB (1992) A primer for soft modeling. University of Akron Press

  • Fornell C, Larcker DF (1981) Evaluating structural equation models with unobservable variables and measurement error. J Mark Res 27:39–50

    Article  Google Scholar 

  • Gefen, D., & Straub, D. W. (2005). A practical guide to factorial validity using PLS-GRAPH: Tutorial and annotated example.Communications of the Association for Information Systems, 16, 91-109

  • Hair JF, Ringle CM, Sarstedt M (2011) PLS-SEM: indeed, a silver bullet. J Market Theory Pract 19(2):139–152

    Article  Google Scholar 

  • Hong Y, Chan DWM, Chan APC, Yeung JFY (2012) Critical analysis of partnering research trend in construction journals. J Manag Eng 28(2):82–95

    Article  Google Scholar 

  • Hwang KK (2013) The construction of culture-inclusive theories by multiple philosophical paradigms. Soc Epistemol Rev Reply Collect 2(7):46–58

    Google Scholar 

  • Ismail S, Harris FA (2014) Challenges in implementing public–private partnership (PPP) in Malaysia. Procedia-Soc Behav Sci 164:5–10

    Article  Google Scholar 

  • Kumaraswamy MM, Zhang XQ (2001) Governmental role in BOT-led infrastructure development. Int J Proj Manag 19(4):195–205

    Article  Google Scholar 

  • Li B, Akintoye A, Edwards PJ, Hardcastle C (2005) Critical success factors for PPP/PFI projects in the UK construction industry. Constr Manag Econ 23(5):459–471

    Article  Google Scholar 

  • Loosemore M, Cheung E (2015) Implementing systems thinking to manage risk in public, private partnership projects. Int J Proj Manag 33:1325–1334

    Article  Google Scholar 

  • Lopes MDS, Flavel R (1998) Project Appraisal—a framework to assess non-financial aspects of projects during the project life cycle. Int J Proj Manag 16(4):223–233

    Article  Google Scholar 

  • Nunnally JC, Bernstein IH (1994) Psychometric theory, 3rd edn. Australia McGraw Hill, Sydney

    Google Scholar 

  • Rebiz KS (2012) Public–private partnership risk factors in emerging countries: BOOT illustrative case study. J Manag Eng 28(4):421–428

    Article  Google Scholar 

  • Saunders M, Lewis P, Thornhill A (2012) Research methods for business students (6. utg.). Pearson, Harlow

    Google Scholar 

  • Tang L, Shen Q, Skitmore M, Cheng EW (2013) Ranked critical factors in PPP briefings. J Manag Eng 29(2):164–171

    Article  Google Scholar 

  • Wetzels M, Odekerken-Schröder G, Van Oppen C (2009) Using PLS path modeling for assessing hierarchical construct models: guidelines and empirical illustration. Manag Inf Syst Q 33(1):177–195

    Article  Google Scholar 

  • Yang J-B, Yang C-C, Kao C-K (2010) Evaluating schedule delay causes for private participating public construction works under the build-operate-transfer model. Int J Proj Manag 28:569–579

    Article  Google Scholar 

  • Yeo KT, Tiong RLK (2000) Positive management of differences for risk reduction inbox projects. Int J Proj Manag 18:257–265

    Article  Google Scholar 

  • Zhang X (2005) Critical success factors for public–private partnerships in infrastructure development. J Constr Eng Manag 131(1):3–14

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vijayabanu Chidambaram.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chidambaram, V., Tamilmaran, V. PLS-SEM Approach for Predicting the Success of Public–Private Partnerships in Construction Projects: Indian Context. Iran J Sci Technol Trans Civ Eng 44, 1309–1321 (2020). https://doi.org/10.1007/s40996-020-00431-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40996-020-00431-8

Keywords

Navigation