Extenuating operational risks through digital transformation of agri-food supply chains

IF 6.1 3区管理学 Q1 ENGINEERING, INDUSTRIAL

Production Planning & Control Pub Date : 2021-10-11 DOI:10.1080/09537287.2021.1988177

Imran Ali, K. Govindan

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引用次数: 27

Abstract

Abstract The increasingly unprecedented incidents (e.g. COVID-19) have made the contemporary supply chains more vulnerable to divergent risks and disruptions. Encouragingly, the recent trend of digital transformation, adoption of Industry 4.0 technologies (I4Ts), could significantly improve business processes extenuating potential risks and disruptions. Yet, there is a paucity of quantitative studies on the risk or disruption mitigation and I4Ts, specifically on agri-food industry. Using a sample of 302 firms from the Australian agri-food supply chains, we explore if the firms that adopt I4Ts experience the different impact of operational risks (supply-demand mismatch, financial and transportation) compared to others. The findings unveil that albeit such risks can significantly undermine firm performance, their negative effect is non-significant for the firms that adopt I4Ts compared to those that do not adopt. We thus suggest digital transformation as an effective way to extenuate operational risks and disruptions amid unanticipated events like COVID-19. Numerous contributions to theory and practice, plus United Nations Sustainable Development Goals (1 & 2) have been discussed.

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通过农业食品供应链的数字化转型降低运营风险

越来越多前所未有的事件(例如COVID-19)使当代供应链更容易受到各种风险和中断的影响。令人鼓舞的是，最近的数字化转型趋势，采用工业4.0技术(I4Ts)，可以显著改善业务流程，减轻潜在的风险和中断。然而，缺乏对风险或破坏缓解和i4t的定量研究，特别是对农业食品工业的定量研究。使用来自澳大利亚农业食品供应链的302家公司的样本，我们探索采用I4Ts的公司是否与其他公司相比经历了不同的运营风险(供需不匹配，金融和运输)的影响。研究结果表明，尽管这些风险会显著损害企业绩效，但与未采用i4t的企业相比，采用i4t的企业的负面影响并不显著。因此，我们建议将数字化转型作为在COVID-19等意外事件中减轻运营风险和中断的有效方法。讨论了对理论和实践的许多贡献，以及联合国可持续发展目标(1和2)。

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

Production Planning & Control 管理科学-工程：工业

CiteScore

19.30

自引率

9.60%

发文量

审稿时长

6-12 weeks

期刊介绍： Production Planning & Control is an international journal that focuses on research papers concerning operations management across industries. It emphasizes research originating from industrial needs that can provide guidance to managers and future researchers. Papers accepted by "Production Planning & Control" should address emerging industrial needs, clearly outlining the nature of the industrial problem. Any suitable research methods may be employed, and each paper should justify the method used. Case studies illustrating international significance are encouraged. Authors are encouraged to relate their work to existing knowledge in the field, particularly regarding its implications for management practice and future research agendas.