COVID-19大流行期间印度服装供应链因素的TISM和MICMAC分析

Pub Date : 2022-01-01 DOI:10.4018/ijisscm.287133

Rupesh Kumar, Parul Gupta, Rajesh Gupta

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引用次数: 4

摘要

本研究的目的是探讨2019冠状病毒病后印度服装供应链面临的挑战，以确定受到影响的因素，并建立多层次层次模型，对因素进行优先排序，并了解它们之间的相互关系。本文进行了深入的文献综述，并咨询了服装供应链领域的专家。这项研究是在一份发给服装行业不同层次的专家的调查报告的帮助下进行的。然后使用全解释结构模型(Total Interpretive Structural modeling，简称TISM)对数据进行分析。“出口订单履行困难”因素被发现是最敏感的因素，这意味着它在TISM模型层次中存在于受大多数因素影响的地方，反过来影响因素如运营成本，营销策略的变化，消费者购买模式的变化，这些因素影响盈利能力和就业的切断。在TISM模型中，发现“就业截止”受所有其他因素的影响最大。

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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A TISM and MICMAC Analysis of Factors During the COVID-19 Pandemic in the Indian Apparel Supply Chain

The objective of this study is to explore the challenges faced by the Indian apparel supply chain in the wake of COVID-19 to identify the factors that are being affected and build a multilevel hierarchy model to prioritize the factors and understand their inter-relationships. An intensive literature review was conducted and many experts from apparel supply chain were consulted. The study was conducted by the help of a survey sent to these experts from different echelons in the apparel industry. The data was then analysed using Total Interpretive Structural Modelling (TISM). The “Difficulty in export order fulfilment” factor is found to be the most sensitive factor which means that it is present in the TISM model hierarchy in a place that it is affected by most of the factors and in-turn impacts factors like operational cost, change in marketing strategy, change in consumer buying pattern, which impact Profitability and Cut-off in employment. “Cut-off in employment” is found to be most impacted by all other factors in TISM model.

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