Abstract
As artificial intelligence (AI) continues to drive technological advancements today, it profoundly influences economic and social development. Publication of research on AI integrated with multiple disciplines, such as creative computing, art, innovation management, finance, etc., reveals the boost of academic attention. In this context, research on AI in the fashion industry provides insights for industrial practitioners, such as stakeholders in clothing supply chains (CSCs). However, limited research has reviewed AI in CSCs, especially from a context perspective. This paper aims to identify the macro context of AI in CSCs using descriptive and coding analysis to address two research questions: What is the publication status of AI in CSCs has been published today? 2) What are the research contexts and motivations? 37 papers on AI in CSCs from 2005 to 2023 were obtained from the Scopus database. First, we analysed the publication status using a descriptive analysis. Second, we coded the research context to reveal their research context by six dimensions: 1) policy support, 2) awareness of sustainability, 3) consumer behaviours, 4) technology capabilities, 5) global market uncertainty, and 6) labour-intensive market shift. Findings suggested that global marketing uncertainty and consumer behaviour shifts are the two main motivations of their studies. On the other hand, the pressure on the labour-intensive market shifts from China to Southeast Asia, driving technological innovation in this uncertain market environment. Although the research sample has been limited so far, this shortage of research on AI in CSCs informed scholars’ and policymakers’ future research agenda.
Author Information
Chen Qu, School of Knowledge Science–Japan Advanced Institute of Science and Technology, Japan
Eunyoung Kim, School of Knowledge Science–Japan Advanced Institute of Science and Technology, Japan
Paper Information
Conference: IICAH2024
Stream: Cyberspace
This paper is part of the IICAH2024 Conference Proceedings (View)
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To cite this article:
Qu C., & Kim E. (2024) Artificial Intelligence-Enabled in Clothing Supply Chains: Research Context and Motivation Perspectives ISSN: 2432-4604 – The IAFOR International Conference on Arts & Humanities – Hawaii 2024 Official Conference Proceedings https://doi.org/10.22492/issn.2432-4604.2024.30
To link to this article: https://doi.org/10.22492/issn.2432-4604.2024.30
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