COST ESTIMATION PERFORMANCE IN THE CONSTRUCTION PROJECTS: A SYSTEMATIC REVIEW AND FUTURE DIRECTIONS

Authors

  • Mohammad Waffy Fazil Faculty of Industrial Management, Universiti Malaysia Pahang, Malaysia
  • Chia Kuang Lee Faculty of Industrial Management, Universiti Malaysia Pahang, Malaysia
  • Puteri Fadzline Muhamad Tamyez Faculty of Industrial Management, Universiti Malaysia Pahang, Malaysia

DOI:

https://doi.org/10.15282/ijim.11.1.2021.6131

Keywords:

Systematic literature review, Cost estimation performance, Task-technology fit, Contingency theory, Organizational control theory

Abstract

Cost estimation in construction project is very critical for avoiding cost overrun in the project. This paper aims to provide a basis for improving cost estimation performance in construction through a systematic review of previous studies for last 31 years. The papers have identified a total of 238 construction cost estimation papers in 23 journals. Only 33 papers focused on factors influencing the performance of cost estimation. These papers were then analyzed, synthesized, and summarized in terms of the distribution across countries and citation influences. The factors of cost estimation performance were clustered to several themes with most of the factors in control themes. The factors in control themes are cluttered based on Organizational Control Theory (OCT). However, control themes provide less conceptual basis and dynamic to explain cost estimation performance and relationship among the factors. Therefore, this study reclassified other factors of cost estimation performance with reference to Contingency Theory (CT) and Task-Technology Fit Theory (TTFT). Hence, a new framework with relationship among the factors and cost estimation performance was developed. Further development and research of using the CT and TTFT frameworks were also discussed.

Author Biographies

Mohammad Waffy Fazil, Faculty of Industrial Management, Universiti Malaysia Pahang, Malaysia

Mohammad Waffy Bin Fazil is a PhD candidate and fellow in Project Management at Faculty of Industrial Management. He has 1 year of working experience in engineering consulting industry. He received his Master in Project Management from University of Queensland in 2016 and also Bachelor of Mechanical Engineering from University of Western Australia in 2013.

Chia Kuang Lee, Faculty of Industrial Management, Universiti Malaysia Pahang, Malaysia

Dr. Chia Kuang LEE is a Senior Lecturer in Project Management, with more than 10 years of experience in R&D works specifically in construction management and project management. He has worked as the Head of Program for Project Management Degree Course in Universiti Malaysia Pahang. Dr Lee has a Bachelor Degree in Quantity Surveying (BQS.) and Master of Science (MSc Construction Contract Management) from Universiti Teknologi Malaysia. He earned a PhD in Civil Engineering from The University of Auckland, New Zealand in 2017, focusing mainly on the field of Construction Alternative Dispute Resolution (A.D.R.) method.   

Puteri Fadzline Muhamad Tamyez, Faculty of Industrial Management, Universiti Malaysia Pahang, Malaysia

Currently the Deputy Dean of Research and Postgraduate Studies in Faculty of Industrial Management, Universiti Malaysia Pahang. She graduated from Universiti Technology MARA, Shah Alam, with a PhD in Business Management and from Universiti Sains Malaysia, Penang with BSc, and MSc degrees in Bioresources, Paper and Coating Technology under the School of Industrial Technology. Prior to Universiti Malaysia Pahang, she had accumulated industrial experiences in the furniture and wood flooring industry for 4 years. At both companies, she is responsible for matters related to Quality Control and Production processes. Her research interests are Business Management, Innovation Management, Product Management, and Research Methodology.

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Published

2021-08-31

How to Cite

Fazil, M. W., Lee, C. K., & Muhamad Tamyez, P. F. (2021). COST ESTIMATION PERFORMANCE IN THE CONSTRUCTION PROJECTS: A SYSTEMATIC REVIEW AND FUTURE DIRECTIONS. International Journal of Industrial Management, 11(1), 217–234. https://doi.org/10.15282/ijim.11.1.2021.6131