INFLUENCE OF TECHNICAL CHALLENGES ON CONSTRUCTION PROJECT CONTRACTING
DOI:
https://doi.org/10.15282/ijim.19.2.2025.11318Keywords:
Project contracting, Construction process, Technical challenges, Project success, Structural equation modellingAbstract
The construction industry plays a crucial role in economic development by providing essential infrastructure, creating jobs, and supporting other industries. However, this sector faces persistent technical challenges that impede successful project contracting, including issues, such as inadequate supervision, unskilled labour, and outdated equipment. Despite the industry's importance, there is limited research on how these technical challenges impact project contracting, creating a gap in understanding and addressing these issues effectively. This study investigates the influence of technical challenges on project contracting in construction. The data were gathered using a structured survey and Structural Equation Modelling (SEM) was used to analyse the impact of challenges like resource shortages, supply chain issues, and insufficient workforce skills on contracting outcomes. The findings revealed lack of qualified supervision, unskilled labour resulting in poor workmanship, material shortages due to defective supply chains, and ambiguous project specifications as significant challenges that influence projects. The structural equation modelling confirms the reliability of the proposed model, highlighting the interplay between identified technical challenges and their latent constructs. These findings highlight the need to invest in training programs in ensuring that project supervisors and managers possess the necessary qualifications and skills to effectively oversee construction projects. The study concludes by outlining suggestions for further research to deepen the understanding of technical challenges in the delivery of construction contracts and inform evidence-based strategies for industry improvement. This research not only addresses gaps in current literature but also provides practical recommendations for optimising contract deliverables in the construction industry.
References
Alaloul, W. S., Liew, M. S., Zawawi, N. A. W. A., & Kennedy, I. B. (2020). Industrial Revolution 4.0 in the construction industry: Challenges and opportunities for stakeholders. Ain Shams Engineering Journal, 11(1), 225-230.
Azis, A. A. A., Memon, A. H., Rahman, I. A., Nagapan, S., & Latif, Q. B. A. I. (2012, September). Challenges faced by construction industry in accomplishing sustainability goals. In 2012 IEEE Symposium on Business, Engineering and Industrial Applications (pp. 630-634). IEEE.
Abdullahi, C. M., & Tembo, M. (2023). Improving the efficiency and effectiveness of construction project planning and scheduling using lean principle. International Journal of Construction Engineering and Management, 12, 75-80.
Ahadzie, D. K. (2007). A model for predicting the performance of project managers in mass house building projects in Ghana. University of Wolverhampton, PhD Thesis Online.
Ayinkamiye, A. (2019) The role of project planning on the performance of government project in Rwanda, University of Rwanda. PhD Thesis Online.
Amoatey, C. T., Ameyaw, Y. A., Adaku, E., & Famiyeh, S. (2015). Analysing delay causes and effects in Ghanaian state housing construction projects. International Journal of Managing Projects in Business, 8(1), 198-214.
Bloomfield, J., Fisher, M. J. (2019) Quantitative research design. Journal of the Australasian Rehabilitation Nurses Association. 22(2), 27-30.
Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspective. Pearson.
Byrne, B. M. (2013). Structural equation modeling with Mplus: Basic concepts, applications, and programming. Routledge.
Bonifay, W. E., Reise, S. P., Scheines, R., & Meijer, R. R. (2015). When are multidimensional data unidimensional enough for structural equation modeling? An evaluation of the DETECT multidimensionality index. Structural Equation Modeling: A Multidisciplinary Journal, 22(4), 504-516.
Costello, A. B., & Osborne, J. (2019). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research, and Evaluation, 10(1), 7-15.
Chan, E. H., Tam, C. M., & Cheung, R. K. (2005). Interorganizational trust and cooperation in construction: A transaction cost economics approach. Building and Environment, 40(5), 621-632.
Carvalho, H., Naghshineh, B., Govindan, K., & Cruz-Machado, V. (2022). The resilience of on-time delivery to capacity and material shortages: An empirical investigation in the automotive supply chain. Computers & Industrial Engineering, 171, 108375.
Coleman, C. E., Mwanaumo, E. M., & Rahman, R. A. (2023). Indicators of failing projects: The case of public construction. In AIP Conference Proceedings (Vol. 2688, No. 1). AIP Publishing.
Dissanayaka, S. M., & Kumaraswamy, M. M. (1998). Comparing contributors to time and cost performance in building projects. Building and Environment, 34(1), 31-42.
Demirkesen, S., & Ozorhon, B. (2017). Impact of integration management on construction project management performance. International Journal of Project Management, 35(8), 1639-1654.
Eccles, R. G. Klimenko, S. (2019). Shareholders are getting serious about sustainability. The Investor Revolution. Harvard Business Review.
Fabrigar, L. R., & Wegener, D. T. (2012). Exploratory factor analysis. Oxford University Press.
Famiyeh, S., Amoatey, C. T., Adaku, E., & Agbenohevi, C. S. (2017). Major causes of construction time and cost overruns: A case of selected educational sector projects in Ghana. Journal of Engineering, Design and Technology, 15(2), 181-198.
Fisk, E. R. (2003). Construction project administration (6th edn.). Prentice Hall.
Gwet, K. L. (2014). Handbook of inter-rater reliability: The definitive guide to measuring the extent of agreement among raters. Advanced Analytics, LLC.
Grant, J., Schofield, M. J., & Crawford, S. (2012). Managing difficulties in supervision: Supervisors' perspectives. Journal of Counseling Psychology, 59(4), 528-536.
Gyadu-Asiedu, W. (2009). Assessing construction project performance in Ghana: modelling practitioners' and client’s perspectives. Technical University of Eindhoven, PhD Thesis Online.
Hartman, F. T., & Snelgrove, P. (1996). Risk management as a key to cost performance. International Journal of Project Management, 14(4), 219-224.
Hair Jr, J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107-123.
Henseler J. Why generalized structured component analysis is not universally preferable to structural equation modeling. Journal of the Academy of Marketing Science. 2012 May; 40:402-13.
Hwang, B. G., Ngo, J., & Teo, J. Z. K. (2022). Challenges and strategies for the adoption of smart technologies in the construction industry: The case of Singapore. Journal of Management in Engineering, 38(1), 05021014.
Jiang, J. J., Klein, G., & Chen, H. G. (2006). The effects of user partnering and user non-support on project performance. Journal of the Association for Information Systems, 7(1), 6-16.
Kahvandi, Z., Saghatforoush, E., ZareRavasan, A., & Preece, C. (2019). Integrated project delivery implementation challenges in the construction industry. Civil Engineering Journal, 5(8), 1672-1683.
Kerzner, H. (2017). Project management: A systems approach to planning, scheduling, and controlling. John Wiley & Sons.
Kaming, P. F., Maryani, D., & Boenardi, M. (2018). Service life planning for electronics, mechanical and electrical components of a hotel building. In MATEC Web of Conferences (Vol. 195, p. 06010). EDP Sciences.
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607-610.
Kline, R. B. (2023). Principles and practice of structural equation modeling. Guilford Publications.
Koomson S. (2017) Assessing organizational performance in Ghanaian public sector: The case of information services department in Cape Coast (Doctoral dissertation, University of Cape Coast).
Ibbs, C. W., Kwak, Y. H., Ng, T., & Odabasi, A. M. (2003). Project delivery systems and project change: Quantitative analysis. Journal of Construction Engineering and Management, 129(4), 382-387.
Li, F., Harmer, P., Duncan, T. E., Duncan, S. C., Acock, A., & Boles, S. (1998). Approaches to testing interaction effects using structural equation modeling methodology. Multivariate Behavioral Research, 33(1), 1-39.
Mohajan, H. K. (2017). Two criteria for good measurements in research: Validity and reliability. Annals of Spiru Haret University. Economic Series, 17(4), 59-82.
Malsam, W. (2024) 14 Types of Construction Contracts: Pros, Cons & Best Practices. Construction Project Documents. https://www. projectmanager.com/blog/construction-contracts-best-practices [Accessed on 14/11/24]
Marsh, H. W., Hau, K. T., & Grayson, D. (2005). Goodness of Fit in Structural Equation. Contemporary psychometrics.
Parson, S. J. (2020). Relationship between US construction project managers’ leadership styles and construction project success. Capella University.
Riegel, M. (2023) Encourage Your Team to Escalate Issues on Technical Projects. Harvard Business Review.
Rai, N., & Thapa, B. (2015). A study on purposive sampling method in research. Kathmandu: Kathmandu School of Law, 5(1), 8-15.
Roy, R., Stark, R., Tracht, K., Takata, S., & Mori, M. (2016). Continuous maintenance and the future-foundations and technological challenges. Cirp Annals, 65(2), 667-688.
Smith, N. J., Merna, T., & Jobling, P. (2014). Managing risk in construction projects. John Wiley & Sons.
Smith, P., Martino, D., Cai, Z., Gwary, D., Janzen, H., Kumar, P., ... & Towprayoon, S. (2007). Policy and technological constraints to implementation of greenhouse gas mitigation options in agriculture. Agriculture, Ecosystems & Environment, 118(1-4), 6-28.
Singh, N., Benmamoun, M., Meyr, E., & Arikan, R. H. (2021). Verifying rigor: Analyzing qualitative research in international marketing. International Marketing Review, 38(6), 1289-1307.
Tibaijuka, A. (2013). Building prosperity: Housing and Economic Development. Routledge.
Tessema, A. T., Alene, G. A., & Wolelaw, N. M. (2022). Assessment of risk factors on construction projects in Gondar city, Ethiopia. Heliyon, 8(11), 16-23.
Ullah, F., Thaheem, M. J., Siddiqui, S. Q., & Khurshid, M. B. (2017). Influence of Six Sigma on project success in construction industry of Pakistan. The TQM Journal, 29(2), 276-309.
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