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Influences of artificial intelligence and blockchain technology on financial resilience of supply chains

Author

Listed:
  • Shivam Gupta
  • Sachin Modgil
  • Tsan-Ming Choi
  • Ajay Kumar

    (EM - EMLyon Business School)

  • Jiju Antony

Abstract

"Emerging technologies, such as artificial intelligence (AI) and blockchain technology (BT), have revolutionized the way businesses are managed nowadays, whereas the focus on financial resilience remains critical even in an era of complexity and uncertainty. This study empirically explores the capabilities of AI and BT to ascertain its role in financial resilience of a supply chain. Further study considers the environmental dynamism moderating the relationship of AI and BT leading to financial resilience of supply chains. Adopting a multi-methodological approach, we conduct an empirical and qualitative study to explore the relationship between AI, BT, and the financial resilience of supply chains. For data collection, 202 survey responses from supply chain professionals were collected to test the theoretical model, whereas the qualitative study collected responses from 25 supply chain professionals using semi-structured interviews and the grounded approach. After using structural equation modeling for the quantitative data analysis, our findings indicate that, compared to artificial intelligence, blockchain technology is stronger in facilitating financial resilience of a supply chain under the moderating influence of environmental dynamism. Thematic analysis for the qualitative study indicate the role of AI in sensing, blockchain in seizing and financial resilience in reconfiguring the opportunities lie in supply chain. AI is suitable for sensing the business environment and facilitating blockchain deployment. This study offers a theoretical contribution, along with practical implications for managers."

Suggested Citation

  • Shivam Gupta & Sachin Modgil & Tsan-Ming Choi & Ajay Kumar & Jiju Antony, 2023. "Influences of artificial intelligence and blockchain technology on financial resilience of supply chains," Post-Print hal-04325728, HAL.
    • Handle: RePEc:hal:journl:hal-04325728
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    Cited by:

    1. Moktadir, Md Abdul & Ren, Jingzheng, 2024. "Global semiconductor supply chain resilience challenges and mitigation strategies: A novel integrated decomposed fuzzy set Delphi, WINGS and QFD model," International Journal of Production Economics, Elsevier, vol. 273(C).
    2. Xu, Dandan & Liu, Yuting, 2024. "How does technological progress affect provincial financial resilience? Evidence at the provincial level in China," Emerging Markets Review, Elsevier, vol. 60(C).

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