IMPACT OF CHANGE ORDERS ON WASTE MATERIAL OF ROAD CONSTRUCTION PROJECT
DOI:
https://doi.org/10.21837/pm.v22i31.1487Keywords:
Impact of Change Orders, Waste Materials, Road Construction Project, Smart PLS 4.0, Factor AnalysisAbstract
Change orders in road construction project are a contributing factor to wastage, a concern underscored in recommendations for waste materials. The significant impact of change orders on waste materials becomes evident in various project phases, including implementation, handling, planning, procurement, and contractual aspects. Therefore, this research aims to explore the impact of change orders on waste materials, providing insights into the influential role across critical aspects of road construction projects. A dual approach was adopted, incorporating both interview and questionnaire methods, with the questionnaire’s design established through the application of the Delphi method. The design was subsequently validated by experts following a series of tests, ensuring its effective distribution to a diverse audience, including consultants, contractors, and owners. The calculations were conducted using Factor Analysis and were analyzed with the assistance of SEM PLS 4.0. This comprehensive approach facilitated a thorough exploration of the research methodology and data analysis process.
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Ahmad Aqil Zaidi1, Saipol Bari Abd-Karim2, Syed Muzaffar Syed Mohamad3, H. Y. (2023). Combinative Framework for Value Engineering and. Planning Malaysia, 21(5), 62–77.
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295–336.
Christian M. Ringle, Marco SarstedHair, N. S. (2023). A perspective on using partial least squares structural equation modelling in data articles. Data in Brief, 48(109074). DOI: https://doi.org/10.1016/j.dib.2023.109074
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). https://doi.org/10.1061/(asce)co.1943-7862.0001452 DOI: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001452
Fisk, E. ., & W.D.Reynolds. (2014). Construction Project Management (X th). Pearson.
GHOZALI, I., & LATAN, H. (2015). Partial least squares konsep, teknik dan aplikasi menggunakan program SmartPLS 3.0 untuk penelitian empiris. Badan Penerbit Universitas Diponegoro.
Hair, J., & Alamer, A. (2022). Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example. Research Methods in Applied Linguistics, 1(3), 1–16. https://doi.org/10.1016/j.rmal.2022.100027 DOI: https://doi.org/10.1016/j.rmal.2022.100027
Hair, J F, Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). The Results of PLS-SEM Article information. European Business Review, 31(1), 2–24. DOI: https://doi.org/10.1108/EBR-11-2018-0203
Hair, Joseph F., Sarstedt, M., & Ringle, C. M. (2019). Rethinking some of the rethinking of partial least squares. European Journal of Marketing, 53(4), 566–584. https://doi.org/10.1108/EJM-10-2018-0665 DOI: https://doi.org/10.1108/EJM-10-2018-0665
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management and Data Systems, 116(1), 2–20. https://doi.org/10.1108/IMDS-09-2015-0382 DOI: https://doi.org/10.1108/IMDS-09-2015-0382
Ismail Abdul Rahman, S. a/l N. (2015). Causative Factors of Construction Waste Generation in Malaysia (First Edit). Batu Pahat, Johor: Penerbit UTHM.
Kaliannan, S., Nagapan, S., Abdullah, A. H., Sohu, S., & Jhatial, A. A. (2018). Determining Root Cause of Construction Waste Generation: A Global Context. Civil Engineering Journal, 4(11), 2539. https://doi.org/10.28991/cej-03091179 DOI: https://doi.org/10.28991/cej-03091179
Naji, K. K., Gunduz, M., & Naser, A. F. (2022). The Effect of Change-Order Management Factors on Construction Project Success: A Structural Equation Modeling Approach. Journal of Construction Engineering and Management, 148(9), 1–19. https://doi.org/10.1061/(asce)co.1943-7862.0002350 DOI: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002350
Nur Nadhirah Muhammmuddin, Mohd Suhaimi MOhd-Danuri, Mahanim hanid, Fadzida Ismail, M. N. M. N. (2023). A PRELIMINARY FRAMEWORK FOR PREVENTING DISPUTES IN DIFFERENT STAGES OF BUILDING CONSTRUCTION PROJECTS. Planning Malaysia, 21(5), 267–282. DOI: https://doi.org/10.21837/pm.v21i29.1370
Porwal, A., Parsamehr, M., Szostopal, D., Ruparathna, R., & Hewage, K. (2020). The integration of building information modeling (BIM) and system dynamic modeling to minimize construction waste generation from change orders. International Journal of Construction Management, 0(0), 1–20. https://doi.org/10.1080/15623599.2020.1854930 DOI: https://doi.org/10.1080/15623599.2020.1854930
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2020). Handbook of Market Research. Teoksessa Handbook of Market Research. https://doi.org/10.1007/978-3-319-05542-8 DOI: https://doi.org/10.1007/978-3-319-05542-8
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial Least Squares Structural Equation Modeling. Teoksessa Handbook of Market Research. https://doi.org/10.1007/978-3-319-57413-4_15 DOI: https://doi.org/10.1007/978-3-319-05542-8_15-2
Shrestha, P. P., & Fathi, M. (2019). Impacts of Change Orders on Cost and Schedule Performance and the Correlation with Project Size of DB Building Projects. Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, 11(3), 04519010. https://doi.org/10.1061/(ASCE)LA.1943-4170.0000311 DOI: https://doi.org/10.1061/(ASCE)LA.1943-4170.0000311
Siti Fatimah Hashim, Na’asah Nasrudin, Raja Norashekin Raja Othman, Yusfida Ayu Abdullah, M. Z. M. S. (2023). KEY FACTORS INFLUENCING THE FAMILY-FRIENDLY NEIGHBOURHOOD THROUGH PLS-SEM MODEL ASSESSMENT. CASE STUDY: SS4, PETALING JAYA, SELANGOR, MALAYSIA. Planning Malaysia, 21(5), 78–95. DOI: https://doi.org/10.21837/pm.v21i29.1357
Valencia Livia, M. W. (2023). The Main Causes of Waste Materials at Warehouse. AIP Conference Proceedings, 020026. DOI: https://doi.org/10.1063/5.0148690
Waty, M., Alisjahbana, S. W., Gondokusumo, O., Sulistio, H., Hasyim, C., Setiawan, M. I., … Ahmar, A. S. (2018). Modeling of waste material costs on road construction projects. International Journal of Engineering and Technology(UAE), 7(2), 474–477. https://doi.org/10.14419/ijet.v7i2.11250 DOI: https://doi.org/10.14419/ijet.v7i2.11250
Waty, M., & Sulistio, H. (2019). Road construction project waste material recommendations. IOP Conference Series: Materials Science and Engineering, 650(1). https://doi.org/10.1088/1757-899X/650/1/012031 DOI: https://doi.org/10.1088/1757-899X/650/1/012031
Waty, M., & Sulistio, H. (2020). Identifikasi Risiko Lanjutan Terhadap Sumber dan Penyebab Material Waste Proyek Konstruksi Jalan. Media Komunikasi Teknik Sipil, 26(1), 104–117. DOI: https://doi.org/10.14710/mkts.v26i1.21817
Waty, M., & Sulistio, H. (2022). Impact of Change Orders on Road Construction Project: Consultans’ Perspective. Journal of Applied Engineering Science, 20(3), 736–744. https://doi.org/10.5937/jaes0-35894 DOI: https://doi.org/10.5937/jaes0-35894
Zeng, N., Liu, Y., Gong, P., Hertogh, M., & König, M. (2021). Do right PLS and do PLS right: A critical review of the application of PLS-SEM in construction management research. Frontiers of Engineering Management, 8(3), 356–369. https://doi.org/10.1007/s42524-021-0153-5 DOI: https://doi.org/10.1007/s42524-021-0153-5
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