Is artificial intelligence an enabler of supply chain resiliency post COVID-19? An exploratory state-of-the-art review for future research

Abstract

The challenging situations and disruptions that occurred due to the outbreak of the COVID-19 pandemic have created a severe need for supply chain resiliency (SCR). There has been a growing interest among researchers to investigate the resiliency in supply chain operations to overcome risks and disruptions and to achieve successful project management. The supply chain of every business requires innovative projects to accomplish competitive advantage in the market. This study was conducted to identify the significance of artificial intelligence (AI) for creating a sustainable and resilient supply chain, and also to provide optimum solutions for supply chain risk mitigation. A systematic literature review has been conducted to examine the potential research contribution or directions in the field of AI and SCR. In total, 162 articles were shortlisted from the SCOPUS database in the chosen field of research. Structural Topic Modeling (STM), a big data-based approach, was employed to generate several thematic topics of AI in SCR based on the shortlisted articles, and all topics were discussed. Furthermore, the bibliometric analysis was conducted using R-package to investigate the research trends in the area of AI in SCR. Based on the conducted review of literature, a research framework was proposed for AI in SCR that will facilitate researchers and practitioners to improve technological development in supply chain firms. The purpose is to combat sudden risks and disruptions so that project management will perform well Post COVID-19. The study will be also helpful for future researchers and practitioners to identify research directions based on existing literature covered in this paper in the field of SCR. Future research directions are proposed for AI-enabled resilient supply chain management. This study will also provide several implications for supply chain managers to achieve the required resilience in their supply chains post COVID-19 by focusing on the elements of the proposed research framework.

Big Data Analytics in Supply Chain Management: A Systematic Literature Review and Research Directions

“…Hence, a review of the research corpus into the whole big data analytics in SCM is warranted. Fourth, unlike past studies, where either a purely bottom-up approach using software tools (e.g., topic modeling: [20]) or a top-down approach using manual categorization (e.g., content analysis of literature: [19]), our study relies on both top-down and bottom-up approaches to synthesize the BDA research in the SCM. We use bibliometric tools to identify patterns in the research and then separately analyze selected articles using theoretical frameworks to discuss the patterns in the research.…”

Neuroscience research in consumer behavior: A review and future research agenda

“…A query or search string using neuroscience and neuromarketing keywords was conducted on Scopus database. Scopus was used instead of Web of Science (WoS) due to its broader range of subject areas and categories (Alvino et al., 2020; Naz et al., 2021; Paul et al., 2021), providing a larger pool of articles, since our main goal is to provide a general overview of the topic. To obtain a sophisticated search string, the Boolean search operators AND and OR were added between different terms, and the search was restricted to specific parts of the article, such as title, abstract and keywords.…”

Antecedents of agriculture supply chain performance during COVID-19: an emerging economy perspective

“…There is a need to understand the factors which led the ASC to perform during uncertainty. The literature has focused on digitalization and technology in the ASC (Dutta and Mitra 2021;Nayal et al 2021;Naz et al 2021;Tasnim 2020). The studies reflect different elements for ASC during COVID-19.…”