A Framework Based on Blockchain, Artificial Intelligence, and Big Data Analytics to Leverage Supply Chain Resilience considering the COVID-19

被引:3
作者
Wamba, Samuel Fosso [1 ]
Queiroz, Maciel M. [2 ]
机构
[1] TBS Business Sch, F-31068 Toulouse, France
[2] Paulista Univ UNIP, BR-04026002 Sao Paulo, Brazil
关键词
Blockchain; Artificial Intelligence; Data Analytics; Supply Chain; Epidemic; Outbreaks; Resilience; COVID-19; LITERATURE-RELATED DISCOVERY; ORGANIZATIONAL RESILIENCE; LOGISTICS MODEL; RECOVERY; DISEASE; DESIGN;
D O I
10.1016/j.ifacol.2022.10.067
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the global supply chains era, firms are more connected, integrated, and interdependent, bringing along a set of benefits and a number of risks. It is clear that the singular COVID-19 epidemic outbreak has led to unparalleled disruptions and considerable challenges for supply chains (SCs). For example, the sluggish economic environment provoked by the COVID-19 has negatively impacted the flow of goods, generating shortages and interruptions through the SCs. At the global level, many markets are enduring the effects of these disruptions. In this challenging context, the firms and their SCs must apply useful and efficient strategies to minimize and adapt their operations during and after these disruptions. In this view, this study aims to propose a novel framework based on Artificial Intelligence, Blockchain, and Big Data Analytics, to bring useful ideas and contribute to overcoming such disruptions. Besides, we propose novel categorizations that can support new insights for scholars and practitioners about the use of cutting-edge technologies during and after severe disruptions. Copyright (C) 2022 The Authors.
引用
收藏
页码:2396 / 2401
页数:6
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