This is an open access article distributed under the CC BY 4.0
Volume 20 article 980 pages: 736-744
Change orders in construction projects have a significant negative impact on project performance. This study aims to determine the impact of change orders in terms of cost, quality, time, organization, and other factors in road construction projects. This was achieved through the distribution of questionnaires and the return of 30 consultant respondents engaged in road construction projects from the provinces of DKI Jakarta, Banten, and West Java. After that, the data obtained is processed using a statistical tool known as Smart PLS. Data processing with Smart PLS tested the validity and reliability and the relationship between variables. There are 6 variables, namely X1, X2, X3, X4, X5, and Y with each indicator, with a total of 17 indicators from X1 to X5 and a total of 4 indicators for Y indicators. The results of this study resulted in the impact of change orders significantly affecting cost (X1), quality (X2), time (X3), organization (X4), and others (5) on road construction projects, the biggest impact being others. The results also show three significant indicators, change orders reduce labor productivity (X5.2), change orders cause disputes in projects (X4.1), and change order to reduce the quality of work ( X2.2)
The authors appreciate the Tarumanagara University Service and Research Institute for funding this study.
1. Baccarini D. Defining project success baccarini1999. Proj Manag J 1997;30:25–32.
2. Kim JJ, Miller JA, Kim S. Cost Impacts of Change Orders due to Unforeseen Existing Conditions in Building Renovation Projects. J Constr Eng Manag 2020;146:04020094. https://doi.org/10.1061/(asce)co.1943-7862.0001888.
3. Hao, Q.; Shen, W.; Neelamkavil, J. & Thomas R. NRC Publications Archive Archives des publications du CNRC Change management in construction projects 2015.
4. Hanna AS, Camlic R, Peterson PA, Nordheim E V. Quantitative Definition of Projects Impacted by Change Orders. J Constr Eng Manag 2002;128:57–64. https://doi.org/10.1061/(asce)0733-9364(2002)128:1(57).
5. Hanna AS, Swanson J. Risk allocation by law-cumulative impact of change orders. J Prof Issues Eng Educ Pract 2007;133:60–6. https://doi.org/10.1061/(ASCE)1052-3928(2007)133:1(60).
6. Alnuaimi AS, Taha RA, Al Mohsin M, Al-Harthi AS. Causes, Effects, Benefits, and Remedies of Change Orders on Public Construction Projects in Oman. J Constr Eng Manag 2010;136:615–22. https://doi.org/10.1061/(asce)co.1943-7862.0000154.
7. Hwang BG, Low LK. Construction project change management in Singapore: Status, importance and impact. Int J Proj Manag 2012;30:817–26. https://doi.org/10.1016/j.ijproman.2011.11.001.
8. O’Brien JJ. Construction change orders: impact, avoidance, documentation. McGraw Hill Professional; 1998.
9. Finke MR. A Better Way to Estimate and Mitigate Disruption. J Constr Eng Manag 1998;124:490–7. https://doi.org/10.1061/(asce)0733-9364(1998)124:6(490).
10. Cattano C. Doctoral dissertation. Clemson University; 2010.
11. Taylor TRB, Uddin M, Goodrum PM, McCoy A, Shan Y. Change Orders and Lessons Learned: Knowledge from Statistical Analyses of Engineering Change Orders on Kentucky Highway Projects. J Constr Eng Manag 2012;138:1360–9. https://doi.org/10.1061/(asce)co.1943-7862.0000550.
12. Hanna AS, Iskandar KA. Quantifying and Modeling the Cumulative Impact of Change Orders. J Constr Eng Manag 2017;143:1–10. https://doi.org/10.1061/(asce)co.1943-7862.0001385.
13. Keane P, Sertyesilisik B, Ross AD. Variations and Change Orders on Construction Projects. J Leg Aff Disput Resolut Eng Constr 2010;2:89–96. https://doi.org/10.1061/(asce)la.1943-4170.0000016.
14. Martanti A, Hardjomuljadi S. The Effect of Contract Change Order on Contractor Financing in Government Projects. Int J Civ Eng Technol 2018;9:665–71.
15. Clough RH, Sears GA, S. Keoki Sears. Construction Contracting. Hoboken, N.J. : J. Wiley; 2005.
16. CII a. The impact of changes on construction cost and schedule. University of Texas at Austin; 1990.
17. Fisk E., W.D.Reynolds. Construction Project Management. X. New Jersey: Prentice-Hall; 2014.
18. Ibbs W, Nguyen LD, Lee S. Quantified impacts of project change. J Prof Issues Eng Educ Pract 2007;133:45–52. https://doi.org/10.1061/(ASCE)1052-3928(2007)133:1(45).
19. CII a. RS39-1 - Pre-Project Planning: Beginning a Project the Right Way. The University of Texas at Austin: The University of Texas at Austin; 1994.
20. Jadhav OU, Bhirud AN. An Analysis Of Causes and Effects Of Change Orders On Construction Projects In Pune. J Eng Res Appl www.ijera.com ISSN 2015;4:2248–962201.
21. Duah D, Syal MGM. Direct and Indirect Costs of Change Orders. Pract Period Struct Des Constr 2017;22:04017025. https://doi.org/10.1061/(asce)sc.1943-5576.0000342.
22. Waty M, Sulistio H. Penyebab dan Dampak Change Order Proyek Konstruksi Jalan. 2021.
23. Gay L., Diehl PL. Research Methods for Business and Management. New York: Mc. Millan Publishing Company,; 1992.
24. GHOZALI I, LATAN H. Partial least squares konsep, teknik dan aplikasi menggunakan program SmartPLS 3.0 untuk penelitian empiris. Badan Penerbit Universitas Diponegoro; 2015.
25. Henseler J, Hubona G, Ray PA. Using PLS path modeling in new technology research: Updated guidelines. Ind Manag Data Syst 2016;116:2–20. https://doi.org/10.1108/IMDS-09-2015-0382.
26. Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables. J Mark Res 1981;XVIII:39–50.
27. Sekaran U, Bougie R. Research methods for business: A skill-building approach. John Wiley & Sons, Inc; 2016.
28. Chin WW. The partial least squares approach to structural equation modeling. Mod Methods Bus Res 1998;295:295–336.
29. Ghozali I. Aplikasi Analisis multivariete dengan program IBM SPSS 23. Badan Penerbit Universitas Diponegoro; 2016.
30. Sarstedt M, Ringle CM, Hair JF. Handbook of Market Research. 2020. https://doi.org/10.1007/978-3-319-05542-8.