Adoption of Artificial Intelligence in Supply Chain Risk Management: An Indian Perspective

Souma Kanti Paul, Sadia Riaz, Suchismita Das

Source Title: Journal of Global Information Management (JGIM)30(8)

ISSN: 1062-7375|EISSN: 1533-7995|EISBN13: 9781668435717|DOI: 10.4018/JGIM.307569

MLA

Paul, Souma Kanti, et al. "Adoption of Artificial Intelligence in Supply Chain Risk Management: An Indian Perspective." JGIM vol.30, no.8 2022: pp.1-18. http://doi.org/10.4018/JGIM.307569

APA

Paul, S. K., Riaz, S., & Das, S. (2022). Adoption of Artificial Intelligence in Supply Chain Risk Management: An Indian Perspective. Journal of Global Information Management (JGIM), 30(8), 1-18. http://doi.org/10.4018/JGIM.307569

Chicago

Paul, Souma Kanti, Sadia Riaz, and Suchismita Das. "Adoption of Artificial Intelligence in Supply Chain Risk Management: An Indian Perspective," Journal of Global Information Management (JGIM) 30, no.8: 1-18. http://doi.org/10.4018/JGIM.307569

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Abstract

The study aims to examine factors that influence the adoption-diffusion process of Artificial Intelligence (AI) in Supply Chain Risk Management (SCRM) across manufacturing, wholesale trade, retail trade, and transportation industries in India. As part of this study, eleven constructs that influence the adoption-diffusion stages of AI in SCRM were identified and examined. A survey was conducted to collect data from supply chain executives, risk professionals, and AI consultants across the manufacturing, wholesale trade, retail trade, and transportation industries in India. Partial least squares structural equation modeling (PLS-SEM) was used to study the data. Results show that these factors have varying degrees of influence and direction on the three stages of adoption of AI in SCRM. The study will enable the leadership team in the organizations to build a roadmap for the adoption, implementation, and routinization of AI in SCRM.