Project Management Performance and Its Influence on Malaysian Building Projects

Abstract

Working environment and safety behavior are the primary concern in construction projects which in the long run are part of the yardstick in measuring project management performance. Construction safety and performance should be thoroughly investigated empirically by illustrating the current state of accident and performance in construction industries. Entrenched in the Malaysian construction industry experience, three dimensions of the project management performance (resolve cost, schedule, and quality) can buffer the contractor’s and project manager’s performance in building projects. Following organizational control theory, this research investigated the effects project management performance (resolve cost, schedule, and quality) on construction projects among G-7 contractors operating in Kuantan Malaysia construction industries through a personally administered questionnaire. Structural equation modeling (SEM) opined that schedule and quality have positive and significant influence, while resolve cost has a significant negative influence on Malaysia construction projects.


 


Keywords: project management performance, building project, contractor, project
managers, client, constriction industries, PLS-SEM.

References
[1] Adeleke, A. Q., Bahaudin, A. Y., Kamaruddeen, A. M., Bamgbade, J. A., Khan, M. W.,


[2] Sitansu, P., and Afolabi, Y.A. (2019). An Empirical Analysis of Organizational External Factors on Construction Risk Management. International Journal of Supply Chain Management, 8(1), 932-940.


[3] Adeleke, A. Q., Bahaudin, A. Y., Kamaruddeen, A. M., Bamgbade, J. A., Salimon, M. G., Khan, M. W. A., & Sorooshian, S. (2018). The influence of organizational external factors on construction risk management among Nigerian construction companies. Safety and Health at Work, 9(1), 115-124.


[4] Adeleke, A. Q., Bahaudin, A. Y., & Kamaruddeen, A. M. (2017). Organizational Internal Factors and Construction Risk Management among Nigerian Construction Companies. Global Business Review, 0972150916677460.


[5] Adeleke¹, A. Q., Bahaudin, A. Y., & Kamaruddeen, A. M. (2015). A Partial Least Square Structural Equation Modeling (PLS SEM) Preliminary Analysis on Organizational Internal and External Factors Influencing Effective Construction Risk Management among Nigerian Construction Industries.


[6] Akanni, P., Oke, A., & Akpomiemie, O. (2015). Impact of environmental factors on building project performance in Delta State, Nigeria. HBRC Journal.


[7] Ali, A. S., Smith, A., & Pitt, M. (2013). Contractors’ Perception of factors contributing to Project Delay: Case Studies of Commercial Projects in Klang Valley, Malaysia. Journal of Design and Built Environment, 7(1).


[8] Bagozzi, R. P., & Yi, Y. (1998). On the evaluation of structural equation models. Journal of the academy of marketing science, 16(1), 74-94.


[9] Barclay, D., Higgins, C., & Thompson, R. (1995). The partial least squares (PLS) approach to causal modelling. Technology Studies, 2, 285-323.


[10] Barrett, P., & Sexton, M. (2006). Innovation in small, project−based construction firms. British Journal of Management, 17(4), 331-346.


[11] Chan, A. P.C. and Chan, D. W.M., (2002), Developing a benchmark model for project construction time performance in Hong Kong, Building and Environment, Vol. 39, PP.


[12] Cheng, M. Y. (2005). Economic Fluctuations and Growth: An Empirical Study of the Malaysian Economy. The Journal of Business in Developing Nations, 7(1), 51-73.


[13] Chang, L. S. (2012). A Study to Investigate the Influence of Work Safety Scale (WSS) on Compliance with Safety Behaviour among Foreign Workers in Construction Industry.


[14] Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo Simulation study and an electronic-mail emotion/adoption study.


[15] Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd Ed.). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.


[16] Demirkesen, S., & Ozorhon, B. (2017). Impact of integration management on construction project management performance. International Journal of Project Management, 35(8), 1639-1654.


[17] Falk, R. F., & Miller, N. B. (1992). A primer for soft modeling. Ohio: The University of Akron Press.


[18] Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable and measurement error. Journal of Marketing Research, 18, 39- 50.


[19] Fornell, C., & Bookstein, F. L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing research, 440-452.


[20] Frimpong, Y., Oluwoye, J., & Crawford, L. (2003). Causes of delay and cost overruns in construction of groundwater projects in a developing countries; Ghana as a case study.


[21] Geisser, S. (1974). A predictive approach to the random effect model. Biometrical, 61, 101-107. doi: 10.1093/biomet/61.1.101.


[22] Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. The Journal of Marketing Theory and Practice, 19(2), 139-152.


[23] Hair, J. F., Sarstedt, M., Pieper, T. M., & Ringle, C. M. (2012). The Use of Partial Least Squares Structural Equation Modelling in Strategic Management Research.


[24] Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2016). A primer on partial least squares structural equation modelling (PLS-SEM). Thousand Oaks: Sage Publications.


[25] Hillebrandt, P. (2005). Analysis of the British Construction Industry, Macmillan, London.


[26] Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: a review of four recent studies. Strategic management journal, 20(2), 195- 204.


[27] Hwang, B. G., Zhao, X., & Toh, L. P. (2014). Risk management in small construction projects in Singapore: status, barriers and impact. International Journal of Project Management, 32(1), 116-124.


[28] Kaming, P. F., Olomolaiye, P. O., Holt, G. D., & Harris, F. C. (1997). Factors influencing construction time and cost overruns on high-rise projects in Indonesia. Construction Management & Economics, 15(1), 83-94.


[29] Kim, H. J., & Reinschmidt, K. F. (2006). Effects of contractors’ risk attitude on competition in construction. Journal of Construction Engineering and Management, 137(4), 275-283.


[30] Kumar, B. (2013). Theory of planned behaviour approach to understand the purchasing behaviour for environmentally sustainable products. (W.P. No. 2015-11- 08).


[31] Ling, F. Y. Y., & Hoi, L. (2004). Risks faced by Singapore firms when undertaking construction projects in India. International Journal of Project Management, 24(3), 261-270.


[32] Liu, Y. W., Zhao, G. F., & Wang, S. Q. (2010). Many hands, much politics, multiple risks–the case of the 2008 Beijing Olympics Stadium. Australian Journal of Public Administration, 69(s1), S85-S98.


[33] Lo, T. Y., Fung, I. W., & Tung, K. C. (2006). Construction delays in Hong Kong civil engineering projects. Journal of construction engineering and management, 132(6), 636-649.


[34] Mansfield, N., Ugwu, O., & Doran, T. (1994). Causes of delay and cost overruns in Nigerian construction projects. International Journal of Project Management, 12(4), 254-260.


[35] Meng, X., & Boyd, P. (2017). The role of the project manager in relationship management. International Journal of Project Management, 35(5), 717-728.


[36] Mohammad, N. (2014). Environmental Law and Policy Practices in Malaysia: An Empirical Study. Australian Journal of Basic and Applied Sciences, 5(9).


[37] Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioural research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88, 879-903.


[38] Ringle, C. M., Sarstedt, M., & Straub, D. W. (2015). Editor’s comments: a critical look at the use of PLS-SEM in MIS quarterly.


[39] Sekaran, U. & Bougie, R. (2013). Research methods for business. A sill building approach (5th Ed.) John Willey: UK.


[40] Takim, R., & Akintoye, A. (2002, November). Process improvement of construction projects in Malaysia: analysis case studies. In Proceedings of the 2nd Scottish Conference for postgraduate researchers of Built and Natural Environment (PRONE) (pp. 16-17).


[41] Wang, S. Q., Dulaimi, M. F., & Aguria, M. Y. (2010). Risk management framework for construction projects in developing countries. Construction Management and Economics, 22(3), 237-252.


[42] Zhang, G.M., Wang, J.Y., 2013. Understanding the key risks in construction projects in China. International Journal of Project Management 25 (6), 601–614.


[43] Zikmund, W. G. (2009). Business Research Methods (6 ed.): The Dryden Press.