An Interpretive Structural Modelling (ISM) Approach to Evaluate Barriers to Resiliency in Indian Pharmaceutical Supply Chains

Q2 Business, Management and Accounting

Business Perspectives and Research Pub Date : 2023-03-28 DOI:10.1177/22785337221148806

A. Ganguly, J. Farr

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Abstract

The COVID-19 global pandemic, over the last year and a half, has managed to create massive disruptions in global supply chains and exposed their vulnerabilities, thereby reemphasizing the importance of resiliency. The current study aims to identify and prioritize, through the quantitative decision-making technique of Interpretive Structural Modelling (ISM), a set of barriers to resiliency for the pharmaceutical supply chain in India. The rationale behind choosing the Indian pharmaceutical supply chain was that the pharmaceutical sector in India supplies over half of the global demand for vaccines and generic drugs, and the trajectory of growth is indicated around US$100 billion by the year 2025, along with exporting pharmaceutical products to nearly 200 destination countries. The findings of the current study are expected to aid the decision-makers in evaluating the relative criticality and the interrelationship between the potential (and critical) barriers to supply chain resiliency, and in turn to develop strategic plans. This, in turn, can help to combat unforeseen supply chain disruptors such as COVID-19. This methodology and the findings of the study can be generalized for other supply chains.

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解释结构建模（ISM）方法评估印度药品供应链弹性障碍

在过去一年半的时间里，新冠肺炎全球大流行造成了全球供应链的大规模中断，并暴露了其脆弱性，从而再次强调了恢复力的重要性。目前的研究旨在通过解释性结构建模（ISM）的定量决策技术，确定印度药品供应链弹性的一系列障碍并确定其优先级。选择印度药品供应链的理由是，印度的药品部门供应了全球一半以上的疫苗和仿制药需求，到2025年，增长轨迹约为1000亿美元，同时向近200个目的地国家出口药品。当前研究的结果有望帮助决策者评估供应链弹性的潜在（和关键）障碍之间的相对重要性和相互关系，进而制定战略计划。这反过来有助于对抗新冠肺炎等不可预见的供应链干扰因素。这种方法和研究结果可以推广到其他供应链。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Business Perspectives and Research Business, Management and Accounting-Business and International Management

CiteScore

5.00

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0.00%

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