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Barriers to Reverse Logistics in the Computer Supply Chain Using Interpretive Structural Model

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Abstract

Researchers and practitioners are paying attention to reverse logistics (RL) issues due to growing environmental concerns, competitive advantage, promising financial potential, legislative reasons and social responsibility. This study aims to examine the contextual relationship and interactions among barriers to implement RL practices in the computer supply chain of Bangladesh. We applied Interpretive Structural Modeling (ISM) technique to diagnose significant barriers and proposed a hierarchical framework for investigating the relationships among them. We also used MICMAC (Matriced’ Impacts Croisés Multiplication Appliquée á unClassement) analysis to classify the barriers based on the driving power and dependence among them. Seven barriers were finalized in the Bangladesh context based on the previous literature and professional feedback. The findings reveal that financial constraints along with the lack of interest from top management are the most influential barriers to RL for the computer supply chains of Bangladesh. The ISM-based analysis can provide managers with insights for developing strategies for implementing RL practices in the computer supply chain of Bangladesh.

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Authors and Affiliations

  1. Department of Industrial and Production Engineering, Bangladesh University of Engineering and Technology, Dhaka, 1000, Bangladesh

    Syed Mithun Ali, Asraf Arafin, Towfique Rahman & Nuzhat Zahan

  2. Department of Leather Products Engineering, Institute of Leather Engineering and Technology, University of Dhaka, Dhaka, 1209, Bangladesh

    Md. Abdul Moktadir

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Appendix

See Tables 9 and 10.

Table 9 Some articles with RL barriers
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Table 10 Experts’ feedback on barriers to RL
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Ali, S.M., Arafin, A., Moktadir, M.A. et al. Barriers to Reverse Logistics in the Computer Supply Chain Using Interpretive Structural Model. Glob J Flex Syst Manag 19 (Suppl 1), 53–68 (2018). https://doi.org/10.1007/s40171-017-0176-2

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