Causal Factors of Logistics System Development Strategies and Process Innovation on the Performance of the Construction Industry in Thailand
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Abstract
The objectives of this research were threefold: 1) to analyze the level of Logistics System Development Strategy, Innovation in Logistics Processes, and Organizational Performance in the Thai construction industry; 2) to analyze the direct influence of the Logistics System Development Strategy on Logistics Process Innovation and Organizational Performance; and 3) to analyze the direct influence of Logistics Process Innovation on Organizational Performance, and the role of innovation as a mediating variable. This study employed a quantitative research approach. Data were collected using questionnaires from 300 registered construction entrepreneurs under the Thai Contractors Association (TCA).The analysis utilized descriptive statistics and Structural Equation Modeling (SEM).The research findings indicate that the Logistics System Development Strategy has a significant positive direct influence on Logistics Process Innovation. The Logistics System Development Strategy also exhibits a significant positive direct influence on Organizational Performance. Furthermore, Logistics Process Innovation has a significant positive direct influence on Organizational Performance. Notably, Logistics Process Innovation acts as a mediating variable, exerting an indirect influence between the logistics development strategy and organizational performance. The research concludes that a robust logistics strategy not only directly contributes to organizational efficiency but also stimulates innovation, which is a crucial mechanism for sustainably enhancing performance in the construction industry.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
ลิขสิทธิ์ของบทความ
ผลงานที่ได้รับการตีพิมพ์ถือเป็นลิขสิทธิ์ของมหาวิทยาลัยหอการค้าไทย ห้ามมิให้นำเนื้อหา ทัศนะ หรือข้อคิดเห็นใด ๆ ของผลงานไปทำซ้ำ ดัดแปลง หรือเผยแพร่ ไม่ว่าทั้งหมดหรือบางส่วนโดยไม่ได้รับอนุญาตเป็นลายลักษณ์อักษรจากมหาวิทยาลัยหอการค้าไทยก่อน
References
Chattapadhyay, D. B., Putta, J., & P, R. M. R. (2021). Risk identification, assessments, and prediction
for mega construction projects: A risk prediction paradigm based on cross analytical-machine learning model. Buildings, 11(4), 172. https://doi.org/10.3390/buildings11040172
Creswell, J. W. (2017). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
Cronbach, L. J. (1984). Essentials of psychological testing (4th ed.). Harper & Row.
Durdyev, S., Ismail, S., Ihtiyar, A., Abu Bakar, N. F. S., & Darko, A. (2018). A partial least squares
structural equation modeling (PLS-SEM) of barriers to sustainable construction in Malaysia. Journal of Cleaner Production, 204, 564–572. https://doi.org/10.1016/j.jclepro.2018.08.304
Gikonyo, P. K., Ngugi, P. K., & Paul, S. N. (2022). Logistics innovation and its influence on performance
of building and construction manufacturing firms in Kenya. International Journal of Supply Chain and Logistics, 6(3), 1–15. https://doi.org/10.47941/ijscl.1118
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (8th ed.).
Cengage Learning.
Likert, R. (1967). “The Method of Constructing and Attitude Scale,” in Attitude Theory and
Measurement. P.90-95. New York : Wiley & Son.
Jaafari, A. (2001). Management of risks, uncertainties and opportunities on projects: Time for a
fundamental shift. International Journal of Project Management, 19(2), 89–101. https://doi.org/10.1016/S0263-7863(99)00047-2
Jaidie, S., & Meechai, P. (2024). Investment in logistics strategy and supply chain innovation: A
case study of the heavy industry . Journal of Logistics and Supply Chain Management, 8(1), 45–60. [in Thai]
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610. https://doi.org/10.1177/001316447003000308
Naparporn Raksadee. (2023). Improving the efficiency of logistics systems to enhance the
competitiveness of construction contractors in Thailand [Master's thesis, King Mongkut's University of Technology Thonburi] [in Thai].
Office of the National Economic and Social Development Council. (2022). The National Economic and
Social Development Plan, No. 13 (2023–2027). Office of the National Economic and Social Development Council. [in Thai]
Sacks, R., Dave, B., & Koskela, L. (2019). Requirements for building information modeling based lean
production management systems for construction. Automation in Construction, 105, 102839. https://doi.org/10.1016/j.autcon.2019.102839
Saengthong, T., Chitwattanakorn, T., & Muennthep, W. (2024). Risk management process in
construction projects. Journal of Nakhon Lampang Buddhist College, 13(2), 295–308. [in Thai]
Thai Contractors Association Under H.M. The King's Patronage. (2023). Report on the situation of the Thai construction industry in 2023. Thai Contractors Association Under H.M. The King's Patronage. [in Thai]
Thailand Construction Association. (2021). Construction company registry report . Thailand Construction
Association. [in Thai]
Vanichbuncha, K. (2018). Statistical Analysis: Statistics for Management and Research (13th ed.)
Chulalongkorn University Press. [in Thai].
Wang, T., Chan, A. P. C., He, Q., & Xu, J. (2022). Identifying the gaps in construction megaproject
management research: A bibliographic analysis. International Journal of Construction Management, 22(9), 1585–1596. https://doi.org/10.1080/15623599.2020.1735610