코로나19 팬데믹 상황에서 공급망 데이터 분석이 공급망 회복에 미친 영향: Triple-A 역량의 매개효과를 중심으로
Supply Chain Data Analytics and Recovery Performance in COVID-19 Pandemic: Mediating Role of Triple-A Capabilities
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The abrupt outbreak of the COVID-19 epidemic has severely disrupted manufacturing firms all around the world, causing significant vulnerabilities in global supply chains. The purpose of this study is to explore how supply chain (SC) data analytics enable to enhance Triple-A capabilities (agility, adaptability, and alignment), resulting in improved SC recovery performance in the COVID-19 pandemic. It also analyzes the indirect effect of SC data analytics on SC recovery performance through Triple-A capabilities. 10 hypotheses were tested using questionnaires. We used partial least squares structural equation modeling(PLS-SEM) to analyze the data from 89 manufacturing firms located in Busan, Ulsan, and Gyeongsangnam-do in Korea. The results showed that the SC data analytics had positive effects on Triple-A capabilities and SC recovery performance, respectively. Further, agility and alignment impacted the SC recovery substantially, and they mediated the rinks between SC data analytics and SC recovery performance.
Abstract
The abrupt outbreak of the COVID-19 epidemic has severely disrupted manufacturing firms all around the world, causing significant vulnerabilities in global supply chains. The purpose of this study is to explore how supply chain (SC) data analytics enable to enhance Triple-A capabilities (agility, adaptability, and alignment), resulting in improved SC recovery performance in the COVID-19 pandemic. It also analyzes the indirect effect of SC data analytics on SC recovery performance through Triple-A capabilities. 10 hypotheses were tested using questionnaires. We used partial least squares structural equation modeling(PLS-SEM) to analyze the data from 89 manufacturing firms located in Busan, Ulsan, and Gyeongsangnam-do in Korea. The results showed that the SC data analytics had positive effects on Triple-A capabilities and SC recovery performance, respectively. Further, agility and alignment impacted the SC recovery substantially, and they mediated the rinks between SC data analytics and SC recovery performance.
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