A temporary structure known as falsework is crucial for supporting the weight of building materials, labor, and equipment during building construction projects. However, falsework also poses significant safety risks to both workers and the public. The collapse of falsework can lead to serious injuries, fatalities, and substantial financial losses. Therefore, it is imperative to identify safety risk factors associated with falsework to minimize accidents and ensure a secure working environment. This study, focused on territory of Seberang Perai Tengah, Penang, with utilizes Structural Equation Modeling (SEM) to ascertain safety risk factors related to falsework in Malaysian building construction projects. The aim of this research is to help stakeholders in term of reducing accidents and promoting a safe working environment for workers. The research combines a quantitative approach through a questionnaire survey and a case study project to achieve its goals. The data collection process involves distributing questionnaires to selected individuals with experience related to falsework. The targeted study area comprises skilled workers competent in handling falsework, including Architects, Quantity Surveyors, Project Managers, Falsework Specialists, Safety Officers, and Falsework Installers. Surveys were disseminated to a sample size of 119 individuals, targeting companies located in Seberang Perai Tengah, Penang. Furthermore, the study incorporates a literature review to identify key variables related to stakeholders' behavior towards technology changes and safety performance, encompassing human, technical, management, and environmental factors. A conceptual framework is developed as the final product of this research, and hypotheses are formulated to establish relationships between these variables. Data collected through the survey is analyzed using SEM techniques to validate the hypotheses. Based on the developed framework, the main findings of research show the most contributing factors to the falsework failure are technical factors combined with either management factors or environment factors. By referring to the developed framework, guidelines can be utilized by companies in the construction industry and government regulators to ensure that safety standards are met, thereby safeguarding workers from undue injury. This research is instrumental in enhancing the safety and well-being of construction workers in Malaysia by understanding the relationship between safety risk factors associated with falsework and their causes.
Alshammari, M. A., Abbas, H. K., Li, H., & Alzahrani, A. (2021). Causes and Effects of Falsework Failures and Accidents in Construction Industry: A Review. In IOP Conference Series: Materials Science and Engineering (Vol. 1090, No. 1, p. 012044). IOP Publishing.
Al-Tmeemy, S. M. S., Abbas, H. K., & Li, H. (2020). Factors affecting safety performance in construction sites: a literature review. Journal of Construction Engineering and Management, 146(1), 04019068.
Chen, Y., Lu, Y., & Fan, X. (2019). Analysis of falsework accidents in construction engineering.
Diamantopoulos, A., Sarstedt, M., Fuchs, C., Wilczynski, P., & Kaiser, S. (2012). Guidelines for choosing between multi-item and single-item scales for construct measurement: a predictive validity perspective. Journal of the Academy of Marketing Science, 40, 434-449.
Drolet, A. L., & Morrison, D. G. (2001). Do we really need multiple-item measures in service research?. Journal of service research, 3(3), 196-204.
Fleming, W. G., & Weltman, A. J. (2019). Construction Engineering: A Handbook for Contractors, Architects, and Engineers. McGraw-Hill Education.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.
Henderson, J. V., Storeygard, A., & Weil, D. N. (2012). Measuring economic growth from outer space. American economic review, 102(2), 994-1028.
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. In New challenges to international marketing (pp. 277-319). Emerald Group Publishing Limited.
Hinze, J. W. (1997). Construction Safety. New Jersey: Prentice Hall, Inc.http://www.niosh.com.my/images/URL/jurnal/JOSH-June-2018.pdf
Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic management journal, 20(2), 195-204.
Jöreskog, K. G. (1971). Simultaneous factor analysis in several populations. Psychometrika, 36(4), 409-426.
Journal of Civil Engineering and Management, 25(1), 46-53.
Liu, Y., Ji, S., Wang, J., & Ma, Y. (2019). Research on safety management of bridge falsework construction. Advances in Civil Engineering, 2019, 1-7. doi: 10.1155/2019/4549827.
Llorens Duran, J. I. D. (2019). Textile Roofs 2019: Report. TensiNews, (37), 6-11 retrieved from TEXTILE_ROOFS_2019_Tensinews 37.pdf (upc.edu).
Raithel, S., Sarstedt, M., Scharf, S., & Schwaiger, M. (2012). On the value relevance of customer satisfaction. Multiple drivers and multiple markets. Journal of the academy of marketing science, 40, 509-525.
Ridwan, M., Mulyani, S. R., & Ali, H. (2020). Building behavior and performance citizenship: Perceived organizational support and competence (case study at SPMI private university in west Sumatra). International Journal of Psychosocial Rehabilitation, 24(6).
Rigdon, E. E. (2012). Rethinking partial least squares path modeling: In praise of simple methods. Long range planning, 45(5-6), 341-358.
Sarstedt, M., & Cheah, J. H. (2019). Partial least squares structural equation modeling using SmartPLS: a software review.
Sekaran, U. (2006). Metodologi penelitian untuk bisnis. Edisi.
Sharma, A., Kumar, R., Kumar, N., Kaur, K., Saxena, V., & Ghosh, P. (2023). Chemometrics driven portable Vis-SWNIR spectrophotometer for non-destructive quality evaluation of raw tomatoes. Chemometrics and Intelligent Laboratory Systems, 242, 105001.
Shmueli, G., & Koppius, O. R. (2011). Predictive analytics in information systems research. MIS quarterly, 553-572.
Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. European journal of marketing, 53(11), 2322-2347.
Silaparasetti, V., Rao, G. V. R., & Khan, F. R. (2017). Structural equation modeling analysis using smart pls to assess the occupational health and safety (OHS) factors on workers’ behavior. Structural Equation Modeling Analysis Using Smart PLS to Assess the Occupational Health and Safety (OHS) Factors on Workers’ Behavior (July 17, 2017). Humanities & Social Science Reviews, eISSN, 2395-7654.
Sofwan, N., Zaini, A. A, Mahayuddin, S. A. (2016). Preliminary Study on The Identification of Safety Risks Factors in The High-Rise Building Construction. UTM Journal Teknologi, 78:5-3.
Sohail, M. A., Bukhari, I. A., Shahbaz, A., Ashraf, M., & Ahmad, F. (2018). Falsework failures at construction sites in Pakistan: Causes and mitigation measures. Journal of Construction Engineering and Management, 144(4), 04018006
Tenenhaus, M., Vinzi, V. E., Chatelin, Y. M., & Lauro, C. (2005). PLS path modeling. Computational statistics & data analysis, 48(1), 159-205.
Wang, J., Yang, L., & Zhang, Z. (2021). Vulnerability analysis of concrete falsework considering seismic excitations. Engineering Structures, 242, 112445.
Xu, J., Yang, Y., Liu, X., & Liu, B. (2021). Research on safety risk assessment of falsework construction in long-span bridges. Advances in Civil Engineering, 2021, 1-11. doi: 10.1155/2021/8888227.
Zhang, Y., Yuan, Y., Wang, Y., & Yu, Y. (2019). Study on safety risk assessment for cast-in-situ concrete falsework in bridge engineering. Engineering Structures, 196, 109300.
Zhou, X., Wang, J., Wang, Z., & Wu, X. (2020). Analysis of falsework safety management in bridge construction. Advances in Civil Engineering, 2020, 1-10. doi: 10.1155/2020/4251460.
Majid, M. R. A., Samsudin, H. A. M., Noor, R. N. H. R. M., & Yunus, J. N. (2024). Identifying the Safety Risk Factors of Falsework during Building Construction Project through Partial Least Square Structural Equation Modelling. International Journal of Academic Research in Business and Social Sciences, 14(9), 1955–1970.
Copyright: © 2024 The Author(s)
Published by Knowledge Words Publications (www.kwpublications.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode
