RMIT University
Browse

Evaluating supply chain collaboration barriers in smalland medium-sized enterprises

journal contribution
posted on 2024-11-02, 17:50 authored by Priom Mahmud, Sanjoy Paul, Abdullahil Azeem, Priyabrata ChowdhuryPriyabrata Chowdhury
The disruption has a significant impact on supply chain collaboration (SCC) which is an important task to improve performance for many enterprises. This is especially critical for small- and medium-sized enterprises (SMEs). We developed a decision-modeling framework for analyzing SCC barriers in SMEs for the emerging economy in Bangladesh. Through literature review and expert opinion survey, we have identified a comprehensive list of SCC barriers under four main categories, namely, information-related, communication-related, intra-organizational, and inter-organizational barriers. Then we applied the Grey DEMATEL and Fuzzy Best-Worst methods to evaluate these SCC barriers and compared the results. We also conducted a sensitivity analysis to assess the robustness of the proposed approach. The study reveals that lack of communication is the most crucial barrier in SCC, providing a model for assessing barriers in other emerging economies. This study contributes to the literature by analyzing SCC barriers and by comparing the results obtained from two different MCDM methods. The findings of this study can help decision-makers to plan for overcoming the most prioritized SCC barriers which ultimately contribute to improving the resilience and sustainability performances of SMEs. View Full-Text.

History

Related Materials

  1. 1.
    DOI - Is published in 10.3390/su13137449
  2. 2.
    ISSN - Is published in 20711050

Journal

Sustainability

Volume

13

Number

7449

Issue

13

Start page

1

End page

28

Total pages

28

Publisher

MDPI AG

Place published

Switzerland

Language

English

Copyright

Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

Former Identifier

2006110354

Esploro creation date

2021-10-22

Usage metrics

    Scholarly Works

    Categories

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC