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Impact of Direct Construction Mandatory System on Reducing Industrial Accidents in Construction Site Management

건설산업재해 저감을 위한 직접시공의무제도와 건설 현장관리의 영향관계 분석

  • Baek, Jae-Chul (Architectural Engineering Program, School of Architecture, Seoul National University of Science and Technology) ;
  • Kim, Ga-Hyeon (Architectural Engineering Program, School of Architecture, Seoul National University of Science and Technology) ;
  • Jung, Min-Cheol (Architectural Engineering Program, School of Architecture, Seoul National University of Science and Technology) ;
  • Jang, Hyoun-Seung (Architectural Engineering Program, School of Architecture, Seoul National University of Science and Technology)
  • 백재철 (서울과학기술대학교 일반대학원 건축과) ;
  • 김가현 (서울과학기술대학교 건축학부 건축공학전공) ;
  • 정민철 (서울과학기술대학교 일반대학원 건축과) ;
  • 장현승 (서울과학기술대학교 건축학부)
  • Received : 2023.12.27
  • Accepted : 2024.03.06
  • Published : 2024.04.30

Abstract

In contrast to practices in other countries, the domestic construction industry continues to delegate certain projects won by the primary contractor to subcontractors. To address concerns regarding overly complex business structures, a direct construction mandatory system was introduced. However, there remains a lack of comprehensive quantitative research on its actual effects on construction site management. Given that half of all industrial accidents occur in the construction sector, emphasizing effective management is paramount. Hence, this study investigates the impact of the direct construction mandatory system on construction site management through PLS-SEM analysis. Initially, via a review of prior studies and focus group interviews (FGI), factors contributing to poor management and anticipated positive/negative outcomes of system implementation were identified. Subsequently, a survey was administered to construction industry workers to evaluate the extent of influence of these factors, followed by PLS-SEM analysis based on the survey results. The findings reveal that the direct construction mandatory system enhances environmental and safety management but leads to increased initial investment and management costs. To optimize the system's effectiveness, strategies to alleviate additional cost burdens should be prioritized. Additionally, the system's impact on mitigating worker negligence was found to be minimal. To address this and reduce construction accidents, measures to enhance worker satisfaction, such as implementing a unified wage system across all construction projects, should be considered as primary interventions.

Keywords

Acknowledgement

이 연구는 2023년도 한국연구재단 연구비 지원에 의한 결과의 일부임. 과제번호:NRF-2021R1A2C2004320, NRF-2022R1A4A3026883

References

  1. Baek, J. C., & Ock, J. H. (2019). A Study on the Application Method of Construction Site Direct Construction System-Centered on domestic construction case. Journal of the Architectural Institute of Korea Structure & Construction, 35(11), 171-180.
  2. Baek, Y., Wee, K., Baek, I., & Kim, J. (2020). A study on improvement of occupational safety and health management cost accounting standards. Korean Journal of Construction Engineering and Management, 21(2), 39-46.
  3. Bollen, K. A. (1989). Structural equations with latent variables. John Wiley & Sons.
  4. Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295-336.
  5. Choi, S. H. (2016). The direct construction system for construction work is essential, not optional. Construction Economy, 34-43.
  6. Choi, S. Y. (2021). Impact of the Serious Disaster Law on the Construction Industry and Opinions for Improvement. Building Construction, 21(2), 5-10.
  7. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Routledge. 
  8. Dash, G., & Paul, J. (2021). CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting. Technological Forecasting and Social Change, 173, 121092.
  9. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50. https://doi.org/10.1177/002224378101800104
  10. Gadisa, B., & Zhou, H. (2021). Exploring influential factors leading to the poor performance of public construction project in Ethiopia using structural equation modelling. Engineering, Construction and Architectural Management, 28(6), 1683-1712. https://doi.org/10.1108/ECAM-12-2019-0689
  11. Gunduz, M., & Ahsan, B. (2018). Construction safety factors assessment through frequency adjusted importance index. International Journal of Industrial Ergonomics, 64, 155-162. https://doi.org/10.1016/j.ergon.2018.01.007
  12. Hair Jr, J., Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications.
  13. Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152.
  14. Hair Jr, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European business review, 26(2), 106-121. https://doi.org/10.1108/EBR-10-2013-0128
  15. Hair Jr, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2018). Advanced issues in partial least squares structural equation modeling. Sage Publications. 
  16. Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European business review, 31(1), 2-24. https://doi.org/10.1108/EBR-11-2018-0203
  17. 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), 100027.
  18. Henseler, J., & Sarstedt, M. (2013). Goodness-of-fit indices for partial least squares path modeling. Computational statistics, 28, 565-580. https://doi.org/10.1007/s00180-012-0317-1
  19. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science, 43, 115-135. https://doi.org/10.1007/s11747-014-0403-8
  20. Henson, R. K. (2001). Understanding internal consistency reliability estimates: A conceptual primer on coefficient alpha. Measurement and evaluation in counseling and development, 34(3), 177-189. https://doi.org/10.1080/07481756.2002.12069034
  21. Hong, K. S. (2021). Practical statistics for writing papers. Gyeongmunsa.
  22. Hong, S. H., Son, C. B., & Park, C. S. (2002). A Development of Safety Self-Assessment Model for Large Construction Firms. Journal of the Architectural Institute of Korea Structure & Construction, 18(11), 117-124.
  23. Jeong, H., Shin, W. S., & Son, C. B. (2023). An Analysis on the Safety Management Level of Large Construction Companies and Its Improvement Measures. Journal of the Architectural Institute of Korea, 39(3), 279-288. https://doi.org/10.5659/JAIK.2023.39.3.279
  24. Ju, S. J., & Shin, M. J. (2022). Current Status and Problems of Direct Construction Mandatory System under the Framework Act on Construction Industry. Korean Journal of Construction Engineering and Management, 23(6), 43-53.
  25. Kim, Y. S., & Yoo, J. W. (2021). Analysis of Factors of Participation in Social Enterprises to Revitalize the Operation of Urban Regeneration Profit-Type Community Facilities. Journal of the Architectural Institute of Korea, 37(12), 107-117.
  26. Lee, C. G., Jang, W., Na, S. B., Park, J. W., & Choi, M. S. (2021). A Study on the Quantitative Analysis of Overseas Construction Cost Variance Factors Using PLS-SEM. The Society of Convergence Knowledge Transactions, 9(3), 89-103.
  27. Lee, M., Kim, S., Yu, I., Han, J. Y., & Son, J. (2021). Analysis of the Impact of the Expansion of Direct Construction Works and Suggestions on the Application. Korean Journal of Construction Engineering and Management, 22(6), 15-23.
  28. Lohmoller, J. B. (1989). Latent variable path modeling with partial least squares. Springer Science & Business Media.
  29. Mahamid, I. (2016). Factors contributing to poor performance in construction projects: studies of Saudi Arabia. Australian Journal of Multi-Disciplinary Engineering, 12(1), 27-38. https://doi.org/10.1080/14488388.2016.1243034
  30. Ministry of Employment and Labor (2023). Analysis of industrial accidents in 2022. 336.
  31. Ministry of Land, Infrastructure and Transport (2006). FAQ on the Implementation of 'Direct Construction Mandatory System' for Construction Work.
  32. Moon, P. J., & Kong, H. Su. (2020). Causal Relationship between the Risk-inducing Factors and Safety Inspection and Accident Reduction in Small Construction Sites. The Journal of the Convergence on Culture Technology (JCCT), 6(2), 55-70.
  33. Oh, S. W., Kim, C. W., Seo, J. H., Hong, Y. N., & Baek, Y. S. (2022). Review of the Construction Industry Safety and Health Management Cost Accounting Standards. Occupational Safety & Health Research Institute.
  34. Ringle, C. M., Sarstedt, M., Sinkovics, N., & Sinkovics, R. R. (2023). A perspective on using partial least squares structural equation modelling in data articles. Data in Brief, 48, 109074.
  35. Sawacha, E., Naoum, S., & Fong, D. (1999). Factors affecting safety performance on construction sites. International journal of project management, 17(5), 309-315. https://doi.org/10.1016/S0263-7863(98)00042-8
  36. Schwab, D. P. (1980). Construct validity in organizational behavior. Research in organizational behavior, 2, 3-43.
  37. Shim, G. B., Baek, Y. K., & Kim, J. H. (2010). A plan to promote the direct construction of the construction industry to improve quality and competitiveness. Construction & Economy Research Institute of Korea, 2010(2), 1-73.
  38. Shin, Y. C. (2017). Necessity and Improvement of the Direct Construction. Construction Economy, 54-65.
  39. Shmueli, G., Ray, S., Estrada, J. M. V., & Chatla, S. B. (2016). The elephant in the room: Predictive performance of PLS models. Journal of business Research, 69(10), 4552-4564.
  40. 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. https://doi.org/10.1108/EJM-02-2019-0189
  41. Son, C. B., Park, C. S., Hong, S. H., & Choi, S. I. (2002). An evaluation of safety management performance in head office and job site of large construction firms. Archit. Inst. Korea, 18(6), 135-142.
  42. Yu, I. H., & Kim, E. M. (2010). Problems and Improvement Measures for the Regulation of Direct Construction Obligations. Korea Research Institute for Construction Policy, Construction Policy Review 2010-02.