Impact of Change Orders on Decreasing Labor Productivity in Road Construction Projects (Approach using Structural Equation Modeling)

• Autorzy: Waty Mega , Sulistio Hendrik

Identyfikatory

DOI

10.24425/mper.2024.153114

• Języki publikacji: EN

Abstrakty

EN

Change order is the main factor of labor productivity decline in small scale electrical projects in the United States due to presence variables. Preliminary research on labor productivity in Malaysian infrastructure projects with six latent variables using SEM has been conducted on small projects, such as electricity and infrastructure. Therefore, this research aimed to determine the impact of change orders on large and small scale projects of labor productivity in Indonesia. Data were collected through interviews and questionnaires distribution with a return rate of 700 respondents. The collected data were processed using factor analysis and SEM. The result showed that the impact of change orders on the decline in labor productivity in Indonesia led to four latent variables with 15 indicators.

Słowa kluczowe

EN

impact of change order; decline; labor productivity; road construction project; factor analysis; SEM

• Wydawca: Production Engineering Committee of the Polish Academy of Sciences ; Polish Association for Production Management
• Czasopismo: Management and Production Engineering Review
• Rocznik: 2024
• Tom: Vol. 15, No. 4
• Strony: 1--12
• Opis fizyczny: Bibliogr. 48 poz., rys., tab.

Twórcy

autor

Waty Mega

• Tarumanagara University, Civil Engineering, Indonesia

• https://orcid.org/0000-0002-2763-8499

autor

Sulistio Hendrik

• Tarumanagara University, Civil Engineering, Indonesia

• https://orcid.org/0000-0002-5351-7244

Bibliografia

• Abdul Nabi, M., & El-adaway, I.H. (2021). Understanding the Key Risks Affecting Cost and Schedule Performance of Modular Construction Projects. Journal of Management in Engineering, 37(4), 1–14. DOI: 10.1061/(asce)me.1943-5479.0000917
• Al-Kofahi, Z.G., Mahdavian, A., & Oloufa, A. (2022a). A dynamic modelling of labor productivity impacts arising from change orders in road projects. In Canadian Journal of Civil Engineering (Vol. 49, Issue 2). DOI: 10.1139/cjce-2020-0456
• Al-Kofahi, Z.G., Mahdavian, A., & Oloufa, A. (2022b). System dynamics modeling approach to quantify change orders impact on labor productivity 1: principles and model development comparative study. International Journal of Construction Management, 22(7), 1355–1366. DOI: 10.1080/15623599.2020.1711494
• Ali, S., Yan, Q., Irfan, M., & Chen, Z. (2022). Evaluating Barriers on Biogas Technology Adoption in China: The Moderating Role of Awareness and Technology Understanding. 10(July), 1–16. DOI: 10.3389/fenvs.2022.887084
• Alshihri, S., & Al-gahtani, K. (2022). Risk Factors That Lead to Time and Cost Overruns of Building.
• Alzraiee, H. (2022). Quantifying labour impact cost due to change orders. International Journal of Construction Management, 24(4), 464–475. DOI: 10.1080/15623599.2022.2123631
• Assaad, R.H., Ahmed, M.O., El-adaway, I.H., & Shrestha, P.P. (2022). Management of Change Orders in Infrastructure Transportation Projects. Practice Periodical on Structural Design and Construction, 27(1). DOI: 10.1061/(asce)sc.1943-5576.0000640
• Bröchner, J., & Badenfelt, U. (2011). Changes and change management in construction and IT projects. Automation in Construction, 20(7), 767–775. DOI: 10.1016/j.autcon.2011.01.001
• Chin, W.W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295–336.
• Dai, J., Goodrum, P.M., Maloney, W.F., & Srinivasan, C. (2009). Latent Structures of the Factors Affecting Construction Labor Productivity. Journal of Construction Engineering and Management, 135(5), 397–406. DOI: 10.1061/(asce)0733-9364(2009)135:5(397)
• Durdyev S, Ismail S,A.B.N. (2013). Construction productivity in Turkmenistan: survey of the constraining factors. Int. J. E-Educ. e-Bus e-Manage e-Learn., 3, 18–23.
• Durdyev, S., & Ismail, S. (2016). On-site construction productivity in Malaysian infrastructure projects. Structural Survey, 34(4–5), 446–462. DOI: 10.1108/SS-12-2015-0058
• Durdyev, S., Ismail, S., & Bakar, N.A. (2013). Construction Productivity in Turkmenistan: Survey of the Constraining Factors. International Journal of EEducation, e-Business, e-Management and e-Learning, 3(1). DOI: 10.7763/ijeeee.2013.v3.186
• Durdyev, S., Ismail, S., & Kandymov, N. (2018). Structural Equation Model of the Factors Affecting Construction Labor Productivity. Journal of Construction Engineering and Management, 144(4). DOI: 10.1061/(asce)co.1943-7862.0001452
• Durdyev, S., & Mbachu, J. (2011). On-site labour productivity of New Zealand construction industry: Key constraints and improvement measures. Australasian Journal of Construction Economics and Building, 11(3), 18–33. DOI: 10.5130/ajceb.v11i3.2120
• Durdyev, S., & Mbachu, J. (2018). Key constraints to labour productivity in residential building projects: evidence from Cambodia. International Journal of Construction Management, 18(5), 385–393. DOI: 10.1080/15623599.2017.1326301
• Fisk, E., & Reynolds, W.D. (2014). Construction Project Management (X th). Pearson.
• Ghoddousi, P., & Hosseini, M. R. (2012). A survey of the factors affecting the productivity of construction projects in Iran. Technological and Economic Development of Economy, 18(1), 99–116. DOI: 10.3846/20294913.2012.661203
• Ghozali, I., & Latan, H. (2015). Partial least squares konsep, teknik dan aplikasi menggunakan program SmartPLS 3.0 untuk penelitian empiris. Badan Penerbit Universitas Diponegoro.
• Hamza, M., Shahid, S., Bin Hainin, M.R., & Nashwan, M.S. (2022). Construction labour productivity: review of factors identified. International Journal of Construction Management, 22(3), 413–425. DOI: 10.1080/15623599.2019.1627503
• Hanna, A.S., Asce, M., Taylor, C.S., & Sullivan, K.T. (2005). Impact of Extended Overtime on Construction Labor Productivity. 131(June), 734–739. DOI: 10.1061/(ASCE)0733-9364(2005)131
• Hanna, A.S., Chang, C.-K., Sullivan, K.T., & Lackney, J.A. (2008). Impact of Shift Work on Labor Productivity for Labor Intensive Contractor. Journal of Construction Engineering and Management, 134(3), 197–204. DOI: 10.1061/(asce)0733-9364(2008)134:3(197)
• Hanna, A.S., & Gunduz, M. (2004). Impact of Change Orders on Small Labor-Intensive Projects. Journal of Construction Engineering and Management, 130(5), 726–733. DOI: 10.1061/(asce)0733-9364(2004)130:5(726)
• Hanna, A.S., & Iskandar, K.A. (2017). Quantifying and Modeling the Cumulative Impact of Change Orders. Journal of Construction Engineering and Management, 143(10), 1–10. DOI: 10.1061/(asce)co.1943-7862.0001385
• Hanna, A.S., Russell, J.S., Nordheim, E.V, Bruggink, M.J., & Member, A. (1999). Impact of change orders on labor efficiency for electrical construction. Journal of Construction Engineering and Management, 125(4), 224–232.
• Horner R.M.W., Talhouni B.T., Thomas H.R. (1989). Preliminary results of major labour productivity monitoring programme. In Proceedings of the 3rd Yugoslavian symposium on construction management, Cavtat, pp. 18–28.
• Ibbs, W., Nguyen, L.D., & Lee, S. (2007). Quantified impacts of project change. Journal of Professional Issues in Engineering Education and Practice, 133(1), 45–52. DOI: 10.1061/(ASCE)1052-3928(2007)133:1(45)
• Jang, H., Kim, K., Kim, J., & Kim, J. (2011). Labour productivity model for reinforced concrete construction projects. Construction Innovation, 11(1), 92–113. DOI: 10.1108/14714171111104655
• Jarkas, A.M., & Bitar, C.G. (2012). Factors Affecting Construction Labor Productivity in Kuwait. Journal of Construction Engineering and Management, 138(7), 811–820. DOI: 10.1061/(asce)co.1943-7862.0000501
• Jones, R.M. (2001). Lost Productivity: Claims for the Cumulative Impact of Multiple Change Orders. Pub. Cont. LJ, 31.
• Kamal, A., Abas, M., Khan, D., & Azfar, R.W. (2022). Risk factors influencing the building projects in Pakistan: from perspective of contractors, clients and consultants. International Journal of Construction Management, 22(6), 1141–1157. DOI: 10.1080/15623599.2019.1683693
• Kazaz, A., Manisali, E., & Ulubeyli, S. (2008). Effect of basic motivational factors on construction workforce productivity in Turkey. Journal of Civil Engineering and Management, 14(2), 95–106. DOI: 10.3846/1392- 3730.2008.14.4
• Kermanshachi, S., Thakur, R., & Govan, P. (2018). Discovering the Impact of Late Change Orders and Rework on Labor Productivity: A Water Treatment Case Study Analysis Using System Dynamics Modeling Sharareh. Construction Research Congress 2018 Downloaded, 691–701.
• Khalafallah, A., & Shalaby, Y. (2019). Change Orders: Automating Comparative Data Analysis and Controlling Impacts in Public Projects. Journal of Construction Engineering and Management, 145(11), 04019064. DOI: 10.1061/(asce)co.1943-7862.0001700
• Lee, M.-J., Hanna, A.S., & Loh, W.-Y. (2004). Decision Tree Approach to Classify and Quantify Cumulative Impact of Change Orders on Productivity. Journal of Computing in Civil Engineering, 18(2), 132–144. DOI: 10.1061/(asce)0887-3801(2004)18:2(132)
• Moselhi, O., Assem, I., & El-Rayes, K. (2005). Change Orders Impact on Labor Productivity. Journal of Construction Engineering and Management, 131(3), 354– 359. DOI: 10.1061/(asce)0733-9364(2005)131:3(354)
• Muhwezi, L., Acai, J., & Otim, G. (2014). An assessment of the factors causing delays on building construction projects in Uganda. Construction Engineering and Management, 3(1), 13–23. DOI: 10.5923/j.ijcem.2014 0301.02
• Olomolaiye, P.O., Wahab, K.A., & Price, A.D.F. (1987). Problems influencing craftsmen’s productivity in Nigeria. Building and Environment, 22(4), 317–323. DOI: 10.1016/0360-1323(87)90024-2
• Page, I. (2010). Construction industry productivity. BRANZ.
• Qi, K., Owusu, E.K., Francis Siu, M.F., & Albert Chan, P.C. (2024). A systematic review of construction labor productivity studies: Clustering and analysis through hierarchical latent dirichlet allocation. Ain Shams Engineering Journal, 15(9). DOI: 10.1016/ j.asej.2024.102896
• Rivas, R.A., Borcherding, J.D., González, V., & Alarcón, L.F. (2011). Analysis of Factors Influencing Productivity Using Craftsmen Questionnaires: Case Study in a Chilean Construction Company. Journal of Construction Engineering and Management, 137(4), 312–320. DOI: 10.1061/(asce)co.1943-7862.0000274
• Rovine, M.J., & Molenaar, P.C.M. (2000). A structural modeling approach to a multilevel random coefficients model. Multivariate Behavioral Research, 35(1), 51–88
• Sarstedt, M., Hair, J.F., Pick, M., Liengaard, B.D., Radomir, L., & Ringle, C.M. (2022). Progress in partial least squares structural equation modeling use in marketing research in the last decade. Psychology and Marketing, 39(5), 1035–1064. DOI: 10.1002/mar.21640
• Singh, S.K., Del Giudice, M., Chiappetta Jabbour, C.J., Latan, H., & Sohal, A.S. (2022). Stakeholder pressure, green innovation, and performance in small and medium-sized enterprises: The role of green dynamic capabilities. Business Strategy and the Environment, 31(1), 500–514. DOI: 10.1002/bse.2906
• Tariq, J., & Shujaa Safdar Gardezi, S. (2022). Study the delays and conflicts for construction projects and their mutual relationship: A review. Ain Shams Engineering Journal, 14(1), 101815. DOI: 10.1016/j.asej.2022.101815
• Vacanas, Y., & Danezis, C. (2021). Determination of Effective Delay-Avoidance Practices in Construction Projects. Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, 13(1), 04520039. DOI: 10.1061/(asce)la.1943-4170.0000438
• Waty, M., & Sulistio, H. (2022). Impact of Change Orders on Road Construction Project: Consultans’ Perspective. Journal of Applied Engineering Science, 20(3), 736–744. DOI: 10.5937/jaes0-35894
• Yi, W., & Chan, A.P.C. (2014). Critical Review of Labor Productivity Research in Construction Journals. Journal of Management in Engineering, 30(2), 214