Business & Management Studies

The influence of artificial intelligence techniques on disruption management: Does supply chain dynamism matter?

The influence of artificial intelligence techniques on disruption management: Does supply chain dynamism matter?

The research shows that artificial intelligence techniques encourage healthcare supply chains adaptability and collaboration in their operations.

Authors

Ashutosh Samadhiya, Assistant Professor, Jindal Global Business School, O.P. Jindal Global University Sonipat, Haryana, India.

Sanjeev Yadav, Department of Textile and Fibre Engineering, Indian Institute of Technology Delhi, New Delhi, India

Anil Kumar, Guildhall School of Business and Law, London Metropolitan University, London, UK.

Abhijit Majumdar, Department of Textile and Fibre Engineering, Indian Institute of Technology Delhi, New Delhi, India.

Sunil Luthra, ATAL Cell, All India Council for Technical Education (AICTE), Delhi, India.

Jose Arturo Garza-Reyes, Centre for Supply Chain Improvement, The University of Derby, Kedleston Road Campus, Derby, UK.

Arvind Upadhyay, Guildhall School of Business and Law, London Metropolitan University, London, UK.

Summary

Healthcare supply chains (HSCs) have been hard hit by disruptions such as COVID-19. Keeping pace during this interruption has been a significant challenge. HSCs’ adaptability and collaboration using artificial intelligence techniques (AITs) have been recognized as key components of supply chain resilience for managing disruption. The current study aims to investigate how AITs might help improve HSC resilience (HSCR) by facilitating improved adoption and collaboration throughout its operation.

Data was collected from the Indian healthcare sector and analyzed using the partial least squares structural equation modeling (PLS-SEM) technique. Additionally, an examination was conducted to determine the potential moderating role of supply chain dynamism (SCD) on the adoption and cooperation of HSCs with HSCR. The research shows that AITs encourage HSC adaptability and collaboration in their operations and that HSCR results from both factors.

Moreover, SCD does not moderate the link between HSC adoption and HSCR but does moderate the link between HSC cooperation and HSCR. By enhancing HSC adaptability and effective collaboration with AI-enabled systems, AITs may help HSC stakeholders deal with disruptions in healthcare sector operations.

Published in: Technology in Society

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