A study of barriers to the implementation of reverse logistics affecting the performance of small and medium-sized enterprises in Vietnam
DOI:
https://doi.org/10.31305/rrijm.2025.v10.n12.014Keywords:
Reverse Logistics, Firm Performance, Reverse Logistics Barriers, SMEs, IPMA, PLS-SEMAbstract
Reverse logistics (RL) has emerged as a vital strategy for enhancing sustainability and operational efficiency, particularly in small and medium-sized enterprises (SMEs). Despite its benefits, SMEs in emerging economies such as Vietnam often face significant barriers that hinder the effective adoption of RL practices, ultimately affecting financial and environmental performance. Understanding these barriers is essential for designing targeted interventions and promoting sustainable business practices. This study investigates the impact of six key barrier groups, including Technology & Infrastructure, Financial & Economic, Law & Policy, Market & Competitors, Supply Chain Management, and Professional Quality on the adoption of RL practices and firm performance in Vietnamese SMEs. Data were collected from multiple manufacturing sectors, and the relationships among variables were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) and Importance-Performance Matrix Analysis (IPMA). Twenty hypotheses were formulated to test both direct and indirect effects of these barriers on RL adoption, financial performance, and environmental performance. The results reveal that Financial & Economic, Law & Policy, Market & Competitors, Supply Chain Management, and Technology & Infrastructure barriers significantly reduce RL adoption, which in turn lowers financial and environmental outcomes. Professional Quality, however, was not a significant barrier due to the stable and accessible nature of RL knowledge in Vietnam. Moreover, RL adoption positively contributes to both financial and environmental performance, demonstrating its strategic value for SMEs. IPMA results further prioritize Law & Policy, Market & Competitors, and Financial & Economic barriers as critical areas for intervention. Overall, the study extends the RL barrier framework in emerging economies and provides practical insights for SMEs and policymakers to overcome implementation challenges, thereby enhancing sustainability and firm performance.
References
Asamoah, D., Agyei-Owusu, B., Nuertey, D., Kumi, C. A., Akyeh, J., & Fiadjoe, P. D. (2024). Achieving green firm reputation through green customer salience and reverse logistics practices. International Journal of Productivity and Performance Management, 73(3), 837–854. https://doi.org/10.1108/IJPPM-06-2022-0301
Azadnia, A. H., Onofrei, G., & Ghadimi, P. (2021). Electric vehicles lithium-ion batteries reverse logistics implementation barriers analysis: A TISM-MICMAC approach. Resources, Conservation and Recycling, 174. https://doi.org/10.1016/J.RESCONREC.2021.105751
Berisha, G., & Pula, J. S. (2015). Defining Small and Medium Enterprises: a critical review. Academic Journal of Business, Administration, Law and Social Sciences, 1(1). www.iipccl.org
Bouzon, M., Govindan, K., Rodriguez, C. M. T., & Campos, L. M. S. (2016). Identification and analysis of reverse logistics barriers using fuzzy Delphi method and AHP. Resources, Conservation and Recycling, 108, 182–197. https://doi.org/10.1016/J.RESCONREC.2015.05.021
Fernando, Y., Shaharudin, M. S., & Abideen, A. Z. (2023). Circular economy-based reverse logistics: dynamic interplay between sustainable resource commitment and financial performance. European Journal of Management and Business Economics, 32(1), 91–112. https://doi.org/10.1108/EJMBE-08-2020-0254
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39. https://doi.org/10.2307/3151312
Govindan, K., & Bouzon, M. (2018). From a literature review to a multi-perspective framework for reverse logistics barriers and drivers. In Journal of Cleaner Production (Vol. 187, pp. 318–337). Elsevier Ltd. https://doi.org/10.1016/j.jclepro.2018.03.040
Govindan, K., Soleimani, H., & Kannan, D. (2015). Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future. European Journal of Operational Research, 240(3), 603–626. https://doi.org/10.1016/J.EJOR.2014.07.012
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance. Long Range Planning, 46(1–2), 1–12. https://doi.org/10.1016/J.LRP.2013.01.001
Hair, J. F., & Sarstedt, M. (2021). Explanation Plus Prediction—The Logical Focus of Project Management Research. Project Management Journal, 52(4), 319–322. https://doi.org/10.1177/8756972821999945
Kumar, M., Rao, &, Joji, T., & Joji, R. T. (2023). Study of the interplay among internal and external barriers to GSCM in the Indian leather industry using the total ISM and MICMAC methodology. Cogent Business & Management, 10(2). https://doi.org/10.1080/23311975.2023.2234697
Magno, F., Cassia, F., & Ringle, C. M. (2024). A brief review of partial least squares structural equation modeling (PLS-SEM) use in quality management studies. TQM Journal, 36(5), 1242–1251. https://doi.org/10.1108/TQM-06-2022-0197/FULL/PDF
Raci, V., & Shankar, R. (2005). Analysis of interactions among the barriers of reverse logistics. Technological Forecasting and Social Change, 72(8), 1011–1029. https://doi.org/10.1016/J.TECHFORE.2004.07.002
Ramezani, M., Bahmanyar, D., & Razmjooy, N. (2021). A New Improved Model of Marine Predator Algorithm for Optimization Problems. Arabian Journal for Science and Engineering 2021 46:9, 46(9), 8803–8826. https://doi.org/10.1007/S13369-021-05688-3
Rogers, D. S., & Tibben-Lembke, R. (2001). AN EXAMINATION OF REVERSE LOGISTICS PRACTICES. Journal of Business Logistics, 22(2), 129–148. https://doi.org/10.1002/J.2158-1592.2001.TB00007.X
Rogers, D., & Tibben-Lembke, R. S. (1999). Going Backwards: Reverse Logistics Trends and Practices.
U-Dominic, C. M., Orji, I. J., & Okwu, M. (2021). Analyzing the Barriers to Reverse Logistics (RL) Implementation: A Hybrid Model Based on IF-DEMATEL-EDAS. Sustainability 2021, Vol. 13, Page 10876, 13(19), 10876. https://doi.org/10.3390/SU131910876
Venkatraman, N., & Ramanujam, V. (1986). Measurement of Business Performance in Strategy Research: A Comparison of Approaches. Academy of Management Review, 11(4), 801–814. https://doi.org/10.5465/AMR.1986.4283976
Vlachos, I. P. (2016). Reverse logistics capabilities and firm performance: the mediating role of business strategy. International Journal of Logistics Research and Applications, 19(5), 424–442. https://doi.org/10.1080/13675567.2015.1115471;PAGE:STRING:ARTICLE/CHAPTER
Wang, J. X., Burke, H., & Zhang, A. (2022). Overcoming barriers to circular product design. International Journal of Production Economics, 243. https://doi.org/10.1016/J.IJPE.2021.108346
Waqas, M., Honggang, X., Khan, S. A. R., Ahmad, N., Ullah, Z., & Iqbal, M. (2021). Impact of reverse logistics barriers on sustainable firm performance via reverse logistics practices. Logforum, 17(2), 213–230. https://doi.org/10.17270/J.LOG.2021.583
Waqas, M., Qianli, D., Ahmad, N., Zhu, Y., & Nadeem, M. (2020). Modeling Reverse Logistics Barriers in Manufacturing Industry of Pakistan: An ISM and MICMAC Approach. Journal of Advanced Manufacturing Systems, 19(2), 309–341. https://doi.org/10.1142/S021968672050016X
Wood, D. J. (1991). Corporate Social Performance Revisited. Https://Doi.Org/10.5465/Amr.1991.4279616, 59–86. https://doi.org/10.5465/AMR.1991.4279616
Ye, F., Zhao, X., Prahinski, C., & Li, Y. (2013). The impact of institutional pressures, top managers’ posture and reverse logistics on performance - Evidence from China. International Journal of Production Economics, 143(1), 132–143. https://doi.org/10.1016/J.IJPE.2012.12.021
Zhu, Q., & Sarkis, J. (2006). An inter-sectoral comparison of green supply chain management in China: Drivers and practices. Journal of Cleaner Production, 14(5), 472–486. https://doi.org/10.1016/J.JCLEPRO.2005.01.003
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
This is an open access article under the CC BY-NC-ND license Creative Commons Attribution-Noncommercial 4.0 International (CC BY-NC 4.0).