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.

References

Agyekum - Mensah, G. (2019). The degree of accuracy and factors that influence the uncertainty of SME cost estimates. International Journal of Construction Management, 19(5), 413–426. https://doi.org/10.1080/15623599.2018.1452094

Agyekum, B., Kissi, E., Yamoah Agyemang, D., & Badu, E. (2018). Examining barriers for the utilization of non-traditional cost estimating models in developing countries: Ghanaian quantity surveyors’ perspectives. Journal of Engineering, Design and Technology, 16(6), 814–827. https://doi.org/10.1108/JEDT-02-2018-0021

Aibinu, A. A., & Pasco, T. (2008). The accuracy of pre-tender building cost estimates in Australia. Construction Management and Economics, 26(12), 1257–1269. https://doi.org/10.1080/01446190802527514

Akinradewo, O., Aigbavboa, C., & Oke, A. (2020). Accuracy of road construction preliminary estimate: examining the influencing factors. Built Environment Project and Asset Management, 10(5), 657–671. https://doi.org/10.1108/BEPAM-11-2019-0101

Akinradewo, O. I., Aigbavboa, C. O., & Oke, A. E. (2020). Improving accuracy of road projects’ estimates in the Ghanaian construction industry. Journal of Financial Management of Property and Construction, 25(3), 407–421. https://doi.org/10.1108/JFMPC-11-2019-0087

Akintoye, A. (2000). Analysis of factors influencing project cost estimating practice. Construction Management and Economics, 18(1), 77–89. https://doi.org/10.1080/014461900370979

Akintoye, A., & Fitzgerald, E. (2000). A survey of current cost estimating practices in the UK. Construction Management and Economics, 18(2), 161–172. https://doi.org/10.1080/014461900370799

Al‐Harbi, K. M., Johnston, D. W., & Fayadh, H. (1994). Building Construction Detailed Estimating Practices in Saudi Arabia. Journal of Construction Engineering and Management, 120(4), 774–784. https://doi.org/10.1061/(asce)0733-9364(1994)120:4(774)

Ammenwerth, E., Iller, C., & Mahler, C. (2006). IT-adoption and the interaction of task, technology and individuals: A fit framework and a case study. BMC Medical Informatics and Decision Making, 6(1), 3. https://doi.org/10.1186/1472-6947-6-3

Arif, F., Lodi, S. H., & Azhar, N. (2015). Factors influencing accuracy of construction project cost estimates in Pakistan: Perception and reality. International Journal of Construction Management, 15(1), 59–70. https://doi.org/10.1080/15623599.2015.1012141

Aziz, R. F. (2013). Ranking of delay factors in construction projects after Egyptian revolution. Alexandria Engineering Journal, 52(3), 387–406. https://doi.org/10.1016/j.aej.2013.03.002

Barakchi, M., Torp, O., & Belay, A. M. (2017). Cost Estimation Methods for Transport Infrastructure: A Systematic Literature Review. Procedia Engineering, 196, 270–277. https://doi.org/10.1016/j.proeng.2017.07.199

Bonner, J. M., Ruekert, R. W., & Walker, O. C. (2002). Upper management control of new product development projects and project performance. Journal of Product Innovation Management, 19(3), 233–245. https://doi.org/10.1016/S0737-6782(02)00139-X

Carr, R. I. (1989). Cost‐Estimating Principles. Journal of Construction Engineering and Management, 115(4), 545–551. https://doi.org/10.1061/(asce)0733-9364(1989)115:4(545)

Chan, S. L., & Park, M. (2005). Project cost estimation using principal component regression. Construction Management and Economics, 23(3), 295–304. https://doi.org/10.1080/01446190500039812

Chenhall, R. H. (2003). Management control systems design within its organizational context: Findings from contingency-based research and directions for the future. Accounting, Organizations and Society, 28(2–3), 127–168. https://doi.org/10.1016/S0361-3682(01)00027-7

Choudhury, V., & Sabherwal, R. (2003). Portfolios of Control in Outsourced Software Development Projects. Information Systems Research, 14(3), 291–314. https://doi.org/10.1287/isre.14.3.291.16563

Coates, J. B., & Horngren, C. T. (1966). Accounting for Management Control: An Introduction. In or (Vol. 17, Issue 4, p. 480). Springer. https://doi.org/10.2307/3007453

Dandan, T. H., Sweis, G., Sukkari, L. S., & Sweis, R. J. (2019). Factors affecting the accuracy of cost estimate during various design stages. Journal of Engineering, Design and Technology, 18(4), 787–819. https://doi.org/10.1108/JEDT-08-2019-0202

Doloi, H. (2013). Cost Overruns and Failure in Project Management: Understanding the Roles of Key Stakeholders in Construction Projects. Journal of Construction Engineering and Management, 139(3), 267–279. https://doi.org/10.1061/(asce)co.1943-7862.0000621

Doloi, H. K. (2011). Understanding stakeholders’ perspective of cost estimation in project management. International Journal of Project Management, 29(5), 622–636. https://doi.org/10.1016/j.ijproman.2010.06.001

Du, J., Wang, Q., & Shi, Q. (2019). Description–experience gap under imperfect information: Information continuum and aggressive cost estimating in capital projects. Engineering, Construction and Architectural Management, 26(6), 1151–1170. https://doi.org/10.1108/ECAM-02-2018-0075

Dulaimi, M. F., & Shan, H. G. (2002). The factors influencing bid mark-up decisions of large- and medium-size contractors in Singapore. Construction Management and Economics, 20(7), 601–610. https://doi.org/10.1080/01446190210159890

Elhag, T. M. S., Boussabaine, A. H., & Ballal, T. M. A. (2005). Critical determinants of construction tendering costs: Quantity surveyors’ standpoint. International Journal of Project Management, 23(7), 538–545. https://doi.org/10.1016/j.ijproman.2005.04.002

Enshassi, A., Mohamed, S., & Madi, I. (2005). Factors affecting accuracy of cost estimation of building contracts in the Gaza Strip. Journal of Financial Management of Property and Construction, 10(2), 115–125. https://doi.org/10.1108/13664380580001069

Farr, J. L. (1974). Designing Complex Organizations (Book). In Personnel Psychology (Vol. 27, Issue 2). Addison-Wesley Longman Publishing Co., Inc. http://content.ebscohost.com/ContentServer.asp?T=P&P=AN&K=6260925&S=R&D=bth&EbscoContent=dGJyMNLe80Sepq84wtvhOLCmr0meprBSsqy4TLeWxWXS&ContentCustomer=dGJyMPGuslGvqrdKuePfgeyx44Dt6fIA

Flyvbjerg, B., Holm, M. S., & Buhl, S. (2002). Underestimating costs in public works projects: Error or lie? Journal of the American Planning Association, 68(3), 279–295. https://doi.org/10.1080/01944360208976273

Flyvbjerg, B., Skamris Holm, M. K., & Buhl, S. L. (2005). How (In)accurate are demand forecasts in public works projects?: The case of transportation. Journal of the American Planning Association, 71(2), 131–146. https://doi.org/10.1080/01944360508976688

Girmscheid, C., & Brockmann, G. (2008). The Inherent Complexity of Large Scale Engineering Projects. International Project Management Association, 29, 22-26., 29, 22–26.

Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS Quarterly: Management Information Systems, 19(2), 213–233. https://doi.org/10.2307/249689

Gopal, A., & Gosain, S. (2010). The role of organizational controls and boundary spanning in software development outsourcing: Implications for project performance. Information Systems Research, 21(4), 960–982. https://doi.org/10.1287/isre.1080.0205

Grau, D., Back, W. E., & Mejia-Aguilar, G. (2017). Organizational-Behavior Influence on Cost and Schedule Predictability. Journal of Management in Engineering, 33(5), 04017027. https://doi.org/10.1061/(asce)me.1943-5479.0000542

Hatamleh, M. T., Hiyassat, M., Sweis, G. J., & Sweis, R. J. (2018). Factors affecting the accuracy of cost estimate: Case of Jordan. Engineering, Construction and Architectural Management, 25(1), 113–131. https://doi.org/10.1108/ECAM-10-2016-0232

Henderson, J. C., & Lee, S. (1992). Managing I/S design teams. A control theories perspective. Management Science, 38(6), 757–777. https://doi.org/10.1287/mnsc.38.6.757

Howell, D., Windahl, C., & Seidel, R. (2010). A project contingency framework based on uncertainty and its consequences. International Journal of Project Management, 28(3), 256–264. https://doi.org/10.1016/j.ijproman.2009.06.002

Islam, M. S., Nepal, M. P., & Skitmore, M. (2019). Modified Fuzzy Group Decision-Making Approach to Cost Overrun Risk Assessment of Power Plant Projects. Journal of Construction Engineering and Management, 145(2), 04018126. https://doi.org/10.1061/(asce)co.1943-7862.0001593

Jonny Klakegg, O., Torp, O., & Austeng, K. (2010). Good and simple – a dilemma in analytical processes? International Journal of Managing Projects in Business, 3(3), 402–421. https://doi.org/10.1108/17538371011056057

Jørgensen, M., Halkjelsvik, T., & Kitchenham, B. (2012). How does project size affect cost estimation error? Statistical artifacts and methodological challenges. International Journal of Project Management, 30(7), 839–849. https://doi.org/10.1016/j.ijproman.2012.01.007

Keltner, B., & Finegold, D. (1996). Adding Value in Banking: Human Resource Innovations for Service Firms. Sloan Management Review, 38(1), 57–68.

Kirsch, L. J. (1997). Portfolios of Control Modes and IS Project Management. Information Systems Research, 8(3), 215–239. https://doi.org/10.1287/isre.8.3.215

Kirsch, L. J., Sambamurthy, V., Ko, D. G., & Purvis, R. L. (2002). Controlling information systems development projects: The view from the client. Management Science, 48(4), 484–498. https://doi.org/10.1287/mnsc.48.4.484.204

Lee, C. K., Yiu, T. W., & Cheung, S. O. (2016). Selection and use of Alternative Dispute Resolution (ADR) in construction projects - Past and future research. International Journal of Project Management, 34(3), 494–507. https://doi.org/10.1016/j.ijproman.2015.12.008

Leung, M. Y., Olomolaiye, P., Chong, A., & Lam, C. C. Y. (2005). Impacts of stress on estimation performance in Hong Kong. Construction Management and Economics, 23(9), 891–903. https://doi.org/10.1080/0144619042000326701

Lim, B., Nepal, M. P., Skitmore, M., & Xiong, B. (2016). Drivers of the accuracy of developers’ early stage cost estimates in residential construction. Journal of Financial Management of Property and Construction, 21(1), 4–20. https://doi.org/10.1108/JFMPC-01-2015-0002

Littlejohn, S., Foss, K., & Gossett, L. M. (2012). Organizational Control Theory. Encyclopedia of Communication Theory, 1–4. https://doi.org/10.4135/9781412959384.n267

Litzky, B. E., Eddleston, K., & Kidder, D. L. (2006). The good, the bad, and the misguided: How managers inadvertently encourage deviant behaviors. Academy of Management Perspectives, 20(1), 91–103. https://doi.org/10.5465/AMP.2006.19873411

Liu, L., & Zhu, K. (2007). Improving Cost Estimates of Construction Projects Using Phased Cost Factors. Journal of Construction Engineering and Management, 133(1), 91–95. https://doi.org/10.1061/(asce)0733-9364(2007)133:1(91)

Lowe, D., & Skitmore, M. (1994). Experiential learning in cost estimating. Construction Management and Economics, 12(5), 423–431. https://doi.org/10.1080/01446199400000052

Luo, L., He, Q., Xie, J., Yang, D., & Wu, G. (2017). Investigating the Relationship between Project Complexity and Success in Complex Construction Projects. Journal of Management in Engineering, 33(2), 04016036. https://doi.org/10.1061/(asce)me.1943-5479.0000471

Mahamid, I. (2015). Factors affecting cost estimate accuracy: Evidence from Palestinian construction projects. International Journal of Management Science and Engineering Management, 10(2), 117–125. https://doi.org/10.1080/17509653.2014.925843

Mahdi, I., & Soliman, E. (2021). Significant and top ranked delay factors in Arabic Gulf countries. International Journal of Construction Management, 21(2), 167–180. https://doi.org/10.1080/15623599.2018.1512029

Membah, J., & Asa, E. (2015). Estimating cost for transportation tunnel projects: A systematic literature review. International Journal of Construction Management, 15(3), 196–218. https://doi.org/10.1080/15623599.2015.1067345

Morrison, N. (1984). The accuracy of quantity surveyors’ cost estimating. Construction Management and Economics, 2(1), 57–75. https://doi.org/10.1080/01446198400000006

Oberlender, G. D., & Trost, S. M. (2001). Predicting Accuracy of Early Cost Estimates Based on Estimate Quality. Journal of Construction Engineering and Management, 127(3), 173–182. https://doi.org/10.1061/(asce)0733-9364(2001)127:3(173)

Ogunlana, O. (1991). Learning from experience in design cost estimating. Construction Management and Economics, 9(2), 133–150. https://doi.org/10.1080/01446199100000012

Ouchi, W. G. (1979). Conceptual Framework for the Design of Organizational Control Mechanisms. Management Science, 25(9), 833–848. https://doi.org/10.1287/mnsc.25.9.833

Project Management Institute. (2018). Success in disruptive times: expanding the value delivery landscape to address the high cost of low performance. In Pulse of the Profession. https://www.pmi.org/learning/thought-leadership/pulse/pulse-of-the-profession-2018

Reid, G. C., & Smith, J. A. (2000). The impact of contingencies on management accounting system development. Management Accounting Research, 11(4), 427–450. https://doi.org/10.1006/mare.2000.0140

Shehu, Z., Endut, I. R., & Akintoye, A. (2014). Factors contributing to project time and hence cost overrun in the Malaysian construction industry. Journal of Financial Management of Property and Construction, 19(1), 55–75. https://doi.org/10.1108/JFMPC-04-2013-0009

Siddaway, A. P., Wood, A. M., & Hedges, L. V. (2019). How to Do a Systematic Review: A Best Practice Guide for Conducting and Reporting Narrative Reviews, Meta-Analyses, and Meta-Syntheses. Annual Review of Psychology, 70(1), 747–770. https://doi.org/10.1146/annurev-psych-010418-102803

Sihag, V., & Rijsdijk, S. A. (2019). Organizational Controls and Performance Outcomes: A Meta-Analytic Assessment and Extension. Journal of Management Studies, 56(1), 91–133. https://doi.org/10.1111/joms.12342

Snell, S. A. (1992). Control Theory In Strategic Human Resource Management: The Mediating Effect Of Administrative Information. Academy of Management Journal, 35(2), 292–327. https://doi.org/10.5465/256375

Soutos, M., & Lowe, D. J. (2011). Elemental cost estimating: Current UK practice and procedure. Journal of Financial Management of Property and Construction, 16(2), 147–162. https://doi.org/10.1108/13664381111153123

Spies, R., Grobbelaar, S., & Botha, A. (2020). A Scoping Review of the Application of the Task-Technology Fit Theory. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12066 LNCS, 397–408. https://doi.org/10.1007/978-3-030-44999-5_33

Sridarran, P., Keraminiyage, K., & Herszon, L. (2017). Improving the cost estimates of complex projects in the project-based industries. Built Environment Project and Asset Management, 7(2), 173–184. https://doi.org/10.1108/BEPAM-10-2016-0050

Tah, J. H. M., Thorpe, A., & McCaffer, R. (1994). A survey of indirect cost estimating in practice. Construction Management and Economics, 12(1), 31–36. https://doi.org/10.1080/01446199400000004

Tayefeh Hashemi, S., Ebadati, O. M., & Kaur, H. (2020). Cost estimation and prediction in construction projects: a systematic review on machine learning techniques. SN Applied Sciences, 2(10), 1–27. https://doi.org/10.1007/s42452-020-03497-1

Tiwana, A. (2010). Systems development ambidexterity: Explaining the complementary and substitutive roles of formal and informal controls. Journal of Management Information Systems, 27(2), 87–126. https://doi.org/10.2753/MIS0742-1222270203

Trost, S. M., & Oberlender, G. D. (2003). Predicting Accuracy of Early Cost Estimates Using Factor Analysis and Multivariate Regression. Journal of Construction Engineering and Management, 129(2), 198–204. https://doi.org/10.1061/(asce)0733-9364(2003)129:2(198)

Turner, K. L., & Makhija, M. V. (2006). The role of organizational controls in managing knowledge. Academy of Management Review, 31(1), 197–217. https://doi.org/10.5465/amr.2006.19379631

Uher, T. E. (1996). Cost estimating practices in Australian construction. Engineering, Construction and Architectural Management, 3(1–2), 83–95. https://doi.org/10.1108/eb021024

Williamson, H. F., & Chandler, A. D. (1964). Strategy and Structure: Chapters in the History of the Industrial Enterprise. In Technology and Culture (Vol. 5, Issue 1). M.I.T. Press. https://doi.org/10.2307/3101138

Wing, C. K. (1997). The ranking of construction management journals. Construction Management and Economics, 15(4), 387–398. https://doi.org/10.1080/014461997372953

Woods, M. (2009). A contingency theory perspective on the risk management control system within Birmingham City Council. Management Accounting Research, 20(1), 69–81. https://doi.org/10.1016/j.mar.2008.10.003

Yang, J., & Cheng, Q. (2021). The Conditional Limitation of Relational Governance: The Moderating Role of Project Complexity. Advances in Civil Engineering, 2021, 1–14. https://doi.org/10.1155/2021/8886913

Yu, B., & To, W. M. (2011). The importance of input control to work performance under the agency theory framework. International Journal of Human Resource Management, 22(14), 2874–2891. https://doi.org/10.1080/09585192.2011.606125

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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

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