Enabling artificial intelligence for sustainable food grain supply chains: an agri 5.0 and circular economy perspective

Sumanta Das (), Akhilesh Barve (), Naresh Chandra Sahu () and Kamalakanta Muduli ()
Additional contact information
Sumanta Das: IIT Bhubaneswar
Akhilesh Barve: MANIT Bhopal
Naresh Chandra Sahu: IIT Bhubaneswar
Kamalakanta Muduli: Papua New Guinea University of Technology

Operations Management Research, 2023, vol. 16, issue 4, No 24, 2104-2124

Abstract: Abstract The majority of the food grain supply chain (FGSC) is run in a linear fashion, requiring substantial inputs that produce mostly inedible by-products, environmental damage and wastage. Moreover, population increase, declining food resources, shifting weather patterns, and dwindling supplies pose serious problems to the FGSC. Effective usage and consumption of resources to harmonize ecological, economic, and social elements is the need of the hour from the Agri 5.0 and circular economy (CE) perspective. Fortunately, modern technological developments like artificial intelligence (AI) might represent a paradigm change in this context. However, enablers for AI adoption haven't been studied sufficiently despite AI's popularity. Hence, the fundamental objective of this research is to identify and examine key enablers that facilitate rapid AI adoption in FGSC, empowering Agri 5.0 and CE in India. The primary facilitators for AI adoption have been explored via a literature review and expert interviews followed by a questionnaire survey. The fuzzy decision-making trial and evaluation laboratory (F-DEMATEL) approach was then used to create a causal model of the identified enablers. The F-DEMATEL method helps resolve the uncertainty of researching enabler interactions. Research findings suggest that “Legal and regulatory interventions from the government (E7)” and “Green IoT-driven total automation (E5)” have a significant influence in integrating AI in FGSC. The results have major ramifications for policymakers. The results may be used to justify future investments and will also aid decision-makers in India in advancing AI initiatives.

Keywords: AI-adoption; Agri 5.0; Circular Economy (CE); Food Grain Supply Chain (FGSC); Fuzzy-DEMATEL (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s12063-023-00390-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:opmare:v:16:y:2023:i:4:d:10.1007_s12063-023-00390-z

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/12063

DOI: 10.1007/s12063-023-00390-z

Access Statistics for this article

Operations Management Research is currently edited by Jan Olhager and Scott Shafer

More articles in Operations Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().