IDEAS home Printed from https://ideas.repec.org/a/spr/opmare/v16y2023i4d10.1007_s12063-023-00390-z.html
   My bibliography  Save this article

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

Author

Listed:
  • Sumanta Das

    (IIT Bhubaneswar)

  • Akhilesh Barve

    (MANIT Bhopal)

  • Naresh Chandra Sahu

    (IIT Bhubaneswar)

  • Kamalakanta Muduli

    (Papua New Guinea University of Technology)

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.

Suggested Citation

  • Sumanta Das & Akhilesh Barve & Naresh Chandra Sahu & Kamalakanta Muduli, 2023. "Enabling artificial intelligence for sustainable food grain supply chains: an agri 5.0 and circular economy perspective," Operations Management Research, Springer, vol. 16(4), pages 2104-2124, December.
  • Handle: RePEc:spr:opmare:v:16:y:2023:i:4:d:10.1007_s12063-023-00390-z
    DOI: 10.1007/s12063-023-00390-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12063-023-00390-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12063-023-00390-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Muhammad Junaid & Asadullah Shaikh & Mahmood Ul Hassan & Abdullah Alghamdi & Khairan Rajab & Mana Saleh Al Reshan & Monagi Alkinani, 2021. "Smart Agriculture Cloud Using AI Based Techniques," Energies, MDPI, vol. 14(16), pages 1-15, August.
    2. Eric Kaiyue Ling & Siti Norida Wahab, 2020. "Integrity of food supply chain: going beyond food safety and food quality," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 29(2), pages 216-232.
    3. Mangla, Sachin Kumar & Luthra, Sunil & Rich, Nick & Kumar, Divesh & Rana, Nripendra P. & Dwivedi, Yogesh K., 2018. "Enablers to implement sustainable initiatives in agri-food supply chains," International Journal of Production Economics, Elsevier, vol. 203(C), pages 379-393.
    4. Rajput, Shubhangini & Singh, Surya Prakash, 2019. "Connecting circular economy and industry 4.0," International Journal of Information Management, Elsevier, vol. 49(C), pages 98-113.
    5. Ankur Chauhan & Harpreet Kaur & Sachin Yadav & Suresh Kumar Jakhar, 2020. "A hybrid model for investigating and selecting a sustainable supply chain for agri-produce in India," Annals of Operations Research, Springer, vol. 290(1), pages 621-642, July.
    6. Johannes Hangl & Viktoria Joy Behrens & Simon Krause, 2022. "Barriers, Drivers, and Social Considerations for AI Adoption in Supply Chain Management: A Tertiary Study," Logistics, MDPI, vol. 6(3), pages 1-22, September.
    7. Don Gunasekera & Hermione Parsons & Michael Smith, 2017. "Post-harvest loss reduction in Asia-Pacific developing economies," Journal of Agribusiness in Developing and Emerging Economies, Emerald Group Publishing Limited, vol. 7(3), pages 303-317, November.
    8. Kamble, Sachin S. & Gunasekaran, Angappa & Gawankar, Shradha A., 2020. "Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications," International Journal of Production Economics, Elsevier, vol. 219(C), pages 179-194.
    9. Nripendra P. Rana & Sheshadri Chatterjee & Yogesh K. Dwivedi & Shahriar Akter, 2022. "Understanding dark side of artificial intelligence (AI) integrated business analytics: assessing firm’s operational inefficiency and competitiveness," European Journal of Information Systems, Taylor & Francis Journals, vol. 31(3), pages 364-387, May.
    10. Wong, Lai-Wan & Leong, Lai-Ying & Hew, Jun-Jie & Tan, Garry Wei-Han & Ooi, Keng-Boon, 2020. "Time to seize the digital evolution: Adoption of blockchain in operations and supply chain management among Malaysian SMEs," International Journal of Information Management, Elsevier, vol. 52(C).
    11. Queiroz, Maciel M. & Fosso Wamba, Samuel, 2019. "Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA," International Journal of Information Management, Elsevier, vol. 46(C), pages 70-82.
    12. Beatrice Garske & Antonia Bau & Felix Ekardt, 2021. "Digitalization and AI in European Agriculture: A Strategy for Achieving Climate and Biodiversity Targets?," Sustainability, MDPI, vol. 13(9), pages 1-21, April.
    13. Sumanta Das & Akhilesh Barve & Naresh Chandra Sahu & Devendra K. Yadav, 2021. "Selecting enablers for sustainable PDS supply chain in the Indian context using fuzzy-DEMATEL approach," Journal of Agribusiness in Developing and Emerging Economies, Emerald Group Publishing Limited, vol. 13(2), pages 299-322, November.
    14. B Ritchie & C Brindley, 2007. "An emergent framework for supply chain risk management and performance measurement," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(11), pages 1398-1411, November.
    15. Vranda Jain & Tavishi Tewary & Badri Narayanan Gopalakrishnan, 2021. "Unlocking Technology Adoption for a Robust Food Supply Chain: Evidence from Indian Food Processing Sector," HSE Economic Journal, National Research University Higher School of Economics, vol. 25(1), pages 147-164.
    16. Showkat Ahmad Bhat & Nen-Fu Huang & Ishfaq Bashir Sofi & Muhammad Sultan, 2021. "Agriculture-Food Supply Chain Management Based on Blockchain and IoT: A Narrative on Enterprise Blockchain Interoperability," Agriculture, MDPI, vol. 12(1), pages 1-25, December.
    17. Hamed Taherdoost, 2016. "Sampling Methods in Research Methodology; How to Choose a Sampling Technique for Research," Post-Print hal-02546796, HAL.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yuchi Zhang, 2024. "A path to sustainable development of agri‐industries: Analysis of agriculture 5.0 versus industry 5.0 using stakeholder theory with moderation of environmental policy," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(5), pages 4829-4843, October.
    2. C. Ganeshkumar & Nitish Kumar Singh & Rahul S. Mor & Anupama Panghal, 2023. "Investigating the Adoption Barriers to Industry 4.0 Technologies in Farmer Producer Organisations," International Journal of Global Business and Competitiveness, Springer, vol. 18(2), pages 162-174, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sumanta Das & Abhiram Yadav Myla & Akhilesh Barve & Anil Kumar & Naresh Chandra Sahu & Kamalakanta Muduli & Sunil Luthra, 2023. "A systematic assessment of multi‐dimensional risk factors for sustainable development in food grain supply chains: A business strategic prospective analysis," Business Strategy and the Environment, Wiley Blackwell, vol. 32(8), pages 5536-5562, December.
    2. Kirti Nayal & Rakesh D. Raut & Balkrishna E. Narkhede & Pragati Priyadarshinee & Gajanan B. Panchal & Vidyadhar V. Gedam, 2023. "Antecedents for blockchain technology-enabled sustainable agriculture supply chain," Annals of Operations Research, Springer, vol. 327(1), pages 293-337, August.
    3. Soumyadeb Chowdhury & Oscar Rodriguez-Espindola & Prasanta Dey & Pawan Budhwar, 2023. "Blockchain technology adoption for managing risks in operations and supply chain management: evidence from the UK," Annals of Operations Research, Springer, vol. 327(1), pages 539-574, August.
    4. Lavaei Adaryani, Rasool & Palouj, Mojtaba & Karbasioun, Mostafa & Asadi, Ali & Gholami, Hesamedin & Kianirad, Ali & Joodi Damirchi, Milad, 2024. "Antecedents of blockchain adoption in the poultry supply chain: An extended UTAUT model," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    5. Amin Jan & Anas A. Salameh & Haseeb Ur Rahman & Mohanad M. Alasiri, 2024. "Can blockchain technologies enhance environmental sustainable development goals performance in manufacturing firms? Potential mediation of green supply chain management practices," Business Strategy and the Environment, Wiley Blackwell, vol. 33(3), pages 2004-2019, March.
    6. Biman Darshana Hettiarachchi & Stefan Seuring & Marcus Brandenburg, 2022. "Industry 4.0-driven operations and supply chains for the circular economy: a bibliometric analysis," Operations Management Research, Springer, vol. 15(3), pages 858-878, December.
    7. Büşra Ayan & Elif Güner & Semen Son-Turan, 2022. "Blockchain Technology and Sustainability in Supply Chains and a Closer Look at Different Industries: A Mixed Method Approach," Logistics, MDPI, vol. 6(4), pages 1-39, December.
    8. Ahmadova, Gozal & Delgado-Márquez, Blanca L. & Pedauga, Luis E. & Leyva-de la Hiz, Dante I., 2022. "Too good to be true: The inverted U-shaped relationship between home-country digitalization and environmental performance," Ecological Economics, Elsevier, vol. 196(C).
    9. Xiangzhen Peng & Xin Zhang & Xiaoyi Wang & Haisheng Li & Jiping Xu & Zhiyao Zhao, 2022. "Multi-Chain Collaboration-Based Information Management and Control for the Rice Supply Chain," Agriculture, MDPI, vol. 12(5), pages 1-26, May.
    10. Mangla, Sachin Kumar & Kazancoglu, Yigit & Ekinci, Esra & Liu, Mengqi & Özbiltekin, Melisa & Sezer, Muruvvet Deniz, 2021. "Using system dynamics to analyze the societal impacts of blockchain technology in milk supply chainsrefer," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    11. Masoomi, Behzad & Sahebi, Iman Ghasemian & Gholian-Jouybari, Fatemeh & Mejia-Argueta, Christopher & Hajiaghaei-Keshteli, Mostafa, 2024. "The role of internet of things adoption on the sustainability performance of the renewable energy supply chain: A conceptual framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 202(C).
    12. Rizwan Manzoor & B. S. Sahay & Sujeet Kumar Singh, 2025. "Blockchain technology in supply chain management: an organizational theoretic overview and research agenda," Annals of Operations Research, Springer, vol. 348(3), pages 1307-1354, May.
    13. Bai, Chunguang & Sarkis, Joseph, 2022. "A critical review of formal analytical modeling for blockchain technology in production, operations, and supply chains: Harnessing progress for future potential," International Journal of Production Economics, Elsevier, vol. 250(C).
    14. Abdullah Kaid Al-Swidi & Mohammed A Al-Hakimi & Hussam Al Halbusi & Jaithen Abdullah Al Harbi & Hamood Mohammed Al-Hattami, 2024. "Does blockchain technology matter for supply chain resilience in dynamic environments? The role of supply chain integration," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-22, January.
    15. Vimal Kumar & Rohit Raj & Pratima Verma & Jose Arturo Garza-Reyes & Bhavin Shah, 2024. "Assessing risk and sustainability factors in spice supply chain management," Operations Management Research, Springer, vol. 17(1), pages 233-252, March.
    16. Rodríguez-Espíndola, Oscar & Chowdhury, Soumyadeb & Dey, Prasanta Kumar & Albores, Pavel & Emrouznejad, Ali, 2022. "Analysis of the adoption of emergent technologies for risk management in the era of digital manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    17. Zhang, Jian & Zhang, Xuanjian & Liu, Wei & Ji, Ming & Mishra, Arunodaya Raj, 2022. "Critical success factors of blockchain technology to implement the sustainable supply chain using an extended decision-making approach," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    18. Ayushi Srivastava & Kavya Dashora, 2022. "A Fuzzy ISM approach for modeling electronic traceability in agri-food supply chain in India," Annals of Operations Research, Springer, vol. 315(2), pages 2115-2133, August.
    19. Yukta Anand & Asheesh Pandey, 2024. "Feasibility study of blockchain technology for circular economy: A bibliometric and systematic review," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2024(2), pages 109-144.
    20. Kumar, Devinder & Singh, Rajesh Kr & Mishra, Ruchi & Daim, Tugrul U., 2023. "Roadmap for integrating blockchain with Internet of Things (IoT) for sustainable and secured operations in logistics and supply chains: Decision making framework with case illustration," Technological Forecasting and Social Change, Elsevier, vol. 196(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:opmare:v:16:y:2023:i:4:d:10.1007_s12063-023-00390-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.