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A decision support model to investigate the pandemic recovery challenges and strategies in the leather supply chain

Md. Abdul Moktadir Orcid Logo, Md. Rayhan Sarker Orcid Logo, Taimur Sharif Orcid Logo, Mohammad Abedin Orcid Logo

Annals of Operations Research

Swansea University Author: Mohammad Abedin Orcid Logo

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DOI (Published version): 10.1007/s10479-023-05708-5

Abstract

The COVID-19 has caused unprecedented disruptions to supply chains (SC) worldwide, posing numerous challenges for industries, particularly in the emerging economies (EE). These economies are undergoing a phase of recovery from the pandemic devastations now, requiring investigation into the recovery...

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Published in: Annals of Operations Research
ISSN: 0254-5330 1572-9338
Published: Springer Science and Business Media LLC 2023
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URI: https://cronfa.swan.ac.uk/Record/cronfa65380
first_indexed 2023-12-25T16:57:00Z
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These economies are undergoing a phase of recovery from the pandemic devastations now, requiring investigation into the recovery challenges (RCs) and propositions for effective recovery strategies (RSs) to address RCs. Given this backdrop, this study aims to explore the COVID-19-related RCs in the Bangladeshi leather industry and build an integrated decision-making model to formulate RSs to counteract the RCs while the industry seeks to recover. This study used Pareto analysis to deduce lists of the nine most critical RCs and nine vital RSs for the Bangladeshi leather industry. This study also applied the best worst method (BWM) to identify a long-term liquidity crisis and an increasing bankruptcy of business stakeholders as the most urgent RCs, highlighting financial sustainability as a significant matter of concern for the sector. With regard to the RSs, the application of the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) indicated a need to solve the existing problems of central effluent treatment plant (CETP) and provisioning of solid waste management facilities for long run business as priorities to make the leather industry SC more financially and operationally sustainable. The RSs formulated in this study have managerial implications for decision-makers in reducing the adversities caused by the pandemic and hence improving the SC performance of the leather industry. 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spelling 2025-04-30T10:29:24.8489368 v2 65380 2023-12-25 A decision support model to investigate the pandemic recovery challenges and strategies in the leather supply chain 4ed8c020eae0c9bec4f5d9495d86d415 0000-0002-4688-0619 Mohammad Abedin Mohammad Abedin true false 2023-12-25 CBAE The COVID-19 has caused unprecedented disruptions to supply chains (SC) worldwide, posing numerous challenges for industries, particularly in the emerging economies (EE). These economies are undergoing a phase of recovery from the pandemic devastations now, requiring investigation into the recovery challenges (RCs) and propositions for effective recovery strategies (RSs) to address RCs. Given this backdrop, this study aims to explore the COVID-19-related RCs in the Bangladeshi leather industry and build an integrated decision-making model to formulate RSs to counteract the RCs while the industry seeks to recover. This study used Pareto analysis to deduce lists of the nine most critical RCs and nine vital RSs for the Bangladeshi leather industry. This study also applied the best worst method (BWM) to identify a long-term liquidity crisis and an increasing bankruptcy of business stakeholders as the most urgent RCs, highlighting financial sustainability as a significant matter of concern for the sector. With regard to the RSs, the application of the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) indicated a need to solve the existing problems of central effluent treatment plant (CETP) and provisioning of solid waste management facilities for long run business as priorities to make the leather industry SC more financially and operationally sustainable. The RSs formulated in this study have managerial implications for decision-makers in reducing the adversities caused by the pandemic and hence improving the SC performance of the leather industry. Although not totally, these valuable insights into the RCs and RSs for the leather industry during and following COVID-19 periods can be generalized across other industries in Bangladesh and EE regions affected by the pandemic. Journal Article Annals of Operations Research 0 Springer Science and Business Media LLC 0254-5330 1572-9338 COVID-19 pandemic; Recovery challenges; Recovery strategies; Decision making; Decision analytics; Sustainability 22 12 2023 2023-12-22 10.1007/s10479-023-05708-5 COLLEGE NANME Management School COLLEGE CODE CBAE Swansea University SU Library paid the OA fee (TA Institutional Deal) This research was funded by the University Grant Commission of Bangladesh and the University of Dhaka, Bangladesh. We thank the leather industry experts who participated in the data collection process. 2025-04-30T10:29:24.8489368 2023-12-25T16:52:56.9303958 Faculty of Humanities and Social Sciences School of Management - Accounting and Finance Md. Abdul Moktadir 0000-0003-1852-7815 1 Md. Rayhan Sarker 0000-0001-9024-5148 2 Taimur Sharif 0000-0002-4908-0756 3 Mohammad Abedin 0000-0002-4688-0619 4 65380__29794__ecce273d848a4d098c32439350d91ff1.pdf 65380.VOR.pdf 2024-03-21T16:34:20.6905493 Output 2584866 application/pdf Version of Record true This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. true eng http://creativecommons.org/licenses/by/4.0/
title A decision support model to investigate the pandemic recovery challenges and strategies in the leather supply chain
spellingShingle A decision support model to investigate the pandemic recovery challenges and strategies in the leather supply chain
Mohammad Abedin
title_short A decision support model to investigate the pandemic recovery challenges and strategies in the leather supply chain
title_full A decision support model to investigate the pandemic recovery challenges and strategies in the leather supply chain
title_fullStr A decision support model to investigate the pandemic recovery challenges and strategies in the leather supply chain
title_full_unstemmed A decision support model to investigate the pandemic recovery challenges and strategies in the leather supply chain
title_sort A decision support model to investigate the pandemic recovery challenges and strategies in the leather supply chain
author_id_str_mv 4ed8c020eae0c9bec4f5d9495d86d415
author_id_fullname_str_mv 4ed8c020eae0c9bec4f5d9495d86d415_***_Mohammad Abedin
author Mohammad Abedin
author2 Md. Abdul Moktadir
Md. Rayhan Sarker
Taimur Sharif
Mohammad Abedin
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publishDate 2023
institution Swansea University
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publisher Springer Science and Business Media LLC
college_str Faculty of Humanities and Social Sciences
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hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
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department_str School of Management - Accounting and Finance{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Accounting and Finance
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description The COVID-19 has caused unprecedented disruptions to supply chains (SC) worldwide, posing numerous challenges for industries, particularly in the emerging economies (EE). These economies are undergoing a phase of recovery from the pandemic devastations now, requiring investigation into the recovery challenges (RCs) and propositions for effective recovery strategies (RSs) to address RCs. Given this backdrop, this study aims to explore the COVID-19-related RCs in the Bangladeshi leather industry and build an integrated decision-making model to formulate RSs to counteract the RCs while the industry seeks to recover. This study used Pareto analysis to deduce lists of the nine most critical RCs and nine vital RSs for the Bangladeshi leather industry. This study also applied the best worst method (BWM) to identify a long-term liquidity crisis and an increasing bankruptcy of business stakeholders as the most urgent RCs, highlighting financial sustainability as a significant matter of concern for the sector. With regard to the RSs, the application of the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) indicated a need to solve the existing problems of central effluent treatment plant (CETP) and provisioning of solid waste management facilities for long run business as priorities to make the leather industry SC more financially and operationally sustainable. The RSs formulated in this study have managerial implications for decision-makers in reducing the adversities caused by the pandemic and hence improving the SC performance of the leather industry. Although not totally, these valuable insights into the RCs and RSs for the leather industry during and following COVID-19 periods can be generalized across other industries in Bangladesh and EE regions affected by the pandemic.
published_date 2023-12-22T10:00:32Z
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