MULTI-OBJECTIVE OPTIMIZATION MODEL APPROACH FOR SUSTAINABLE MSME SUPPLY CHAINS: A BALANCE APPROACH BETWEEN ECONOMIC, ENVIRONMENTAL AND OPERATIONAL PERFORMANCE IN DEVELOPING COUNTRIES
Published:
2026-05-24Downloads
Abstract
This study aims to analyze the influence of supply chain strategy on sustainable supply chain performance in Micro, Small, and Medium Enterprises (MSMEs), considering the role of operational efficiency and integration as intervening variables. The approach used is quantitative with the Partial Least Squares–Structural Equation Modeling (PLS-SEM) method using SmartPLS software. Data were obtained through distributing questionnaires to MSMEs in developing countries. The results of the study indicate that supply chain strategy does not have a significant direct effect on sustainable supply chain performance. However, supply chain strategy has a positive and significant effect on operational efficiency and integration, and operational efficiency and integration have a positive and significant effect on sustainable supply chain performance. In addition, the results of the mediation test indicate that operational efficiency and integration fully mediate the relationship between supply chain strategy and sustainable supply chain performance. The R-square value is in the moderate to strong category and the high Goodness of Fit value indicates that the research model has good predictive ability. These findings confirm that improving sustainable supply chain performance in MSMEs depends not only on strategy selection but also on the effectiveness of strategy implementation through increased operational efficiency and integration. This research provides theoretical contributions in the development of multi-objective optimization models as well as practical implications for MSMEs and policy makers in designing more efficient, integrated, and sustainable supply chain strategies.
Keywords:
Supply Chain Strategy Sustainable Supply Chain Performance Operational Efficiency Supply Chain Integration and MSMEsReferences
Arifin, IW, Harahap, HH, & Rajagukguk, FRS (2023). The impact of green marketing techniques on consumer purchasing decisions in organic product companies in North Sumatra through product quality perception as an intervening variable. International Journal of Economics, Management and Accounting (IJEMA).
Arifin, IW, Harahap, HH, & Rajagukguk, FRS (2022). The influence of green marketing techniques on consumer loyalty to environmentally friendly products with an evaluation of green pricing techniques as a mediating variable. Accounting Progress, 3(2), 123–132.
Arifin, IW, Harahap, HH, & Rajagukguk, FRS (2023). Analysis of the influence of digital marketing on increasing public awareness of blue economy products in coastal areas of North Sumatra. SIBATIK Journal.
Arifin, IW, Masyitah, E., Harahap, HH, Rajagukguk, FRS, & Rusmewahni, R. (2024). Digital transformation and packaging innovation: Strategies to increase the competitiveness of brown sugar and chip MSMEs in Pelanggiran Laut Tador Village. Community Service Progress, 4(2), 71–76.
Bido, D. S., & Silva, D. (2019). SmartPLS 3: Specification, estimation, evaluation and reporting.
Cepeda-Carrion, G., Cegarra-Navarro, J. G., & Cillo, V. (2019). Tips for using PLS-SEM in knowledge management. Journal of Knowledge Management.
Cheah, J.-H., Ting, H., Ramayah, T., et al. (2019). Reflective-formative estimation approaches in PLS-SEM.
Chanchaichujit, J., Balasubramanian, S., Shukla, V., & Rosas, J. (2020). Multi-objective decision model for green supply chain management. Cogent Business & Management.
Hair, J.F., Risher, J.J., Sarstedt, M., & Ringle, C.M. (2019). When to use and how to report PLS-SEM. European Business Review.
Jamwal, P. K., & Hussain, S. (2020). A fuzzy based multi-objective optimization of multi-echelon supply chain network. Journal of Intelligent & Fuzzy Systems.
Jayarathna, C. P., Agdas, D., Dawes, L., & Yigitcanlar, T. (2021). Multi-objective optimization for sustainable supply chains and logistics: A review. Sustainability, 13(24), 13617.
Shiau, W.-L., Sarstedt, M., & Hair, J.F. (2019). Internet research using PLS-SEM. Internet Research.
Tautenhain, C.P.S., Barbosa-Povoa, A.P., Mota, B., & Nascimento, M.C.V. (2019). Multi-objective sustainable supply chain optimization.
Wang, et al. (2020). An efficient sorting multi-objective optimization framework for sustainable supply networks. Journal of Cleaner Production.
Wijaya, A. (2019). Research Methods Using SmartPLS 3.
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