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

Shivam Gupta, Sachin Modgil, Tsan-Ming Choi, Ajay Kumar and Jiju Antony

International Journal of Production Economics, 2023, vol. 261, issue C

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.

Keywords: Artificial intelligence; Blockchain technology; Environmental dynamism; Financial resilience; Dynamic technological capability view (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0925527323001007
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:261:y:2023:i:c:s0925527323001007

DOI: 10.1016/j.ijpe.2023.108868

Access Statistics for this article

International Journal of Production Economics is currently edited by Stefan Minner

More articles in International Journal of Production Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().