Enablers to Adopt Artificial Intelligence for Supply Chain Risk Management: Qualitative Perspectives from the Textile and Clothing Industry of Pakistan

Abstract

Extant literature has indicated a paucity of scholarship on artificial intelligence and supply chain risk management. Considered the backbone of the nation, the Pakistani textile and clothing industry has witnessed a persistent decline recently which has increased its vulnerability to various supply chain risks. Although artificial intelligence holds significant promise to enhance resilience in supply chains, its adoption is complex particularly in the industrial sectors of emerging nations.  This single qualitative case study obtained data from 26 participants through semi-structured interviews and open-ended questionnaires, which were analyzed by both thematic analysis and summative content analysis. Participants of the research revealed that a) artificial intelligence awareness, trust, and workforce development b) digital Infrastructure, maturity, and financial enablement c) strategic leadership d) advanced artificial intelligence data governance and protection frameworks are some of the enablers which can facilitate successful adoption of artificial intelligence for supply chain risk management. The findings of the research offer valuable insights for the academia and industry professionals.