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Mapping the barriers of AI implementations in the public distribution system: The Indian experience

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  • Kumar, Shashank
  • Raut, Rakesh D.
  • Queiroz, Maciel M.
  • Narkhede, Balkrishna E.

Abstract

With increasing digitization, private organizations have started adopting modern technology to improve the effectiveness and transparency of their system. In countries like India, where most public services are under government control, technology adoption is nascent due to various obstacles. The study considered artificial intelligence (AI) the most popular technology and identified 18 critical adoption barriers in India's public distribution systems (PDS). The study is further extended to find the contextual relationship among barriers using interpretative structural modeling (ISM) and prioritize them using the analytical network process (ANP) method. The study identifies lack of trust in technology, lack of AI literacy, and political issues as significant barriers to AI adoption in PDS. The hybrid methodology used in this study proposed five different strategies for effective and smooth implementation of AI in PDS, which would help the policymaker plan the same.

Suggested Citation

  • Kumar, Shashank & Raut, Rakesh D. & Queiroz, Maciel M. & Narkhede, Balkrishna E., 2021. "Mapping the barriers of AI implementations in the public distribution system: The Indian experience," Technology in Society, Elsevier, vol. 67(C).
    • Handle: RePEc:eee:teinso:v:67:y:2021:i:c:s0160791x21002128
    DOI: 10.1016/j.techsoc.2021.101737
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    as
    1. Mubarik, Muhammad Shujaat & Kazmi, Syed Hasnain Alam & Zaman, Syed Imran, 2021. "Application of gray DEMATEL-ANP in green-strategic sourcing," Technology in Society, Elsevier, vol. 64(C).
    2. Thomas L. Saaty & Luis G. Vargas, 2013. "Decision Making with the Analytic Network Process," International Series in Operations Research and Management Science, Springer, edition 2, number 978-1-4614-7279-7, July-Dece.
    3. Chhotray, Vasudha & Adhikari, Anindita & Bahuguna, Vidushi, 2020. "The political prioritization of welfare in India: Comparing the public distribution system in Chhattisgarh and Jharkhand," World Development, Elsevier, vol. 128(C).
    4. Mamata Pradhan & Nitya Rao, 2018. "Gender justice and food security: The case of public distribution system in India," Progress in Development Studies, , vol. 18(4), pages 252-266, October.
    5. de Neufville, Robert & Baum, Seth D., 2021. "Collective action on artificial intelligence: A primer and review," Technology in Society, Elsevier, vol. 66(C).
    6. Ajay Bohtan & K. Mathiyazhagan & Prem Vrat, 2020. "Throughput time reduction for transportation of foodgrains in public distribution system: a value analysis approach," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 35(1), pages 28-56.
    7. Raut, Rakesh D. & Priyadarshinee, Pragati & Gardas, Bhaskar B. & Jha, Manoj Kumar, 2018. "Analyzing the factors influencing cloud computing adoption using three stage hybrid SEM-ANN-ISM (SEANIS) approach," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 98-123.
    8. Biswal, Arun Kumar & Jenamani, Mamata & Kumar, Sri Krishna, 2020. "The impact of RFID adoption on donor subsidy through for-profit and not-for-profit newsvendor: Implications for Indian Public Distribution system," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    9. Ajay Bohtan & Prem Vrat & Anil K. Vij, 2017. "Supply chain of the Indian public distribution system: a new paradigm," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 14(1), pages 110-123, February.
    10. Paul Henman, 2020. "Improving public services using artificial intelligence: possibilities, pitfalls, governance," Asia Pacific Journal of Public Administration, Taylor & Francis Journals, vol. 42(4), pages 209-221, October.
    11. Zhang, Weidong & Zuo, Na & He, Wu & Li, Songtao & Yu, Lu, 2021. "Factors influencing the use of artificial intelligence in government: Evidence from China," Technology in Society, Elsevier, vol. 66(C).
    12. Ajay Bohtan & K. Mathiyazhagan & Prem Vrat, 2020. "Indian public distribution system in a supply chain perspective: a critical review and the way forward," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 35(3), pages 359-397.
    13. D. G. Mogale & Abhijeet Ghadge & Sri Krishna Kumar & Manoj Kumar Tiwari, 2020. "Modelling supply chain network for procurement of food grains in India," International Journal of Production Research, Taylor & Francis Journals, vol. 58(21), pages 6493-6512, November.
    14. Ajay Bohtan & K. Mathiyazhagan & Prem Vrat, 2019. "Modeling the public distribution system: a PO-P approach," OPSEARCH, Springer;Operational Research Society of India, vol. 56(3), pages 1024-1066, September.
    15. Kulkov, Ignat, 2021. "The role of artificial intelligence in business transformation: A case of pharmaceutical companies," Technology in Society, Elsevier, vol. 66(C).
    16. Braga, Irina F.B. & Ferreira, Fernando A.F. & Ferreira, João J.M. & Correia, Ricardo J.C. & Pereira, Leandro F. & Falcão, Pedro F., 2021. "A DEMATEL analysis of smart city determinants," Technology in Society, Elsevier, vol. 66(C).
    17. Sandeep Kumar Singh & Mamata Jenamani & Diptiman Dasgupta & Suman Das, 2021. "A conceptual model for Indian public distribution system using consortium blockchain with on-chain and off-chain trusted data," Information Technology for Development, Taylor & Francis Journals, vol. 27(3), pages 499-523, July.
    18. Buhmann, Alexander & Fieseler, Christian, 2021. "Towards a deliberative framework for responsible innovation in artificial intelligence," Technology in Society, Elsevier, vol. 64(C).
    19. Toorajipour, Reza & Sohrabpour, Vahid & Nazarpour, Ali & Oghazi, Pejvak & Fischl, Maria, 2021. "Artificial intelligence in supply chain management: A systematic literature review," Journal of Business Research, Elsevier, vol. 122(C), pages 502-517.
    20. Thomas L. Saaty & Luis G. Vargas, 2013. "The Analytic Network Process," International Series in Operations Research & Management Science, in: Decision Making with the Analytic Network Process, edition 2, chapter 0, pages 1-40, Springer.
    21. Alhassan, Muftawu Dzang & Adam, Ibrahim Osman, 2021. "The effects of digital inclusion and ICT access on the quality of life: A global perspective," Technology in Society, Elsevier, vol. 64(C).
    22. Varun Chhabra & Shweta Chopra & Prashant Rajan, 2018. "Challenges in technology adoption in Indian public distribution system: a quality management approach," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 23(3), pages 328-348.
    23. Cubric, Marija, 2020. "Drivers, barriers and social considerations for AI adoption in business and management: A tertiary study," Technology in Society, Elsevier, vol. 62(C).
    24. D. G. Mogale & Naoufel Cheikhrouhou & Manoj Kumar Tiwari, 2020. "Modelling of sustainable food grain supply chain distribution system: a bi-objective approach," International Journal of Production Research, Taylor & Francis Journals, vol. 58(18), pages 5521-5544, September.
    25. Christoph Keding, 2021. "Understanding the interplay of artificial intelligence and strategic management: four decades of research in review," Management Review Quarterly, Springer, vol. 71(1), pages 91-134, February.
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    Cited by:

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    2. Louisi Francis Moura & Edson Pinheiro Lima & Fernando Deschamps & Eileen Van Aken & Sergio Eduardo Gouvea da Costa & Rafael Duarte & Rafael Araujo Kluska, 2022. "What Role Do Design Factors Play in Applying Performance Measurement Systems in Nonprofit Organizations?," Administrative Sciences, MDPI, vol. 12(2), pages 1-17, March.
    3. Sudhanshu Joshi & Manu Sharma & Rashmi Prava Das & Joanna Rosak-Szyrocka & Justyna Żywiołek & Kamalakanta Muduli & Mukesh Prasad, 2022. "Modeling Conceptual Framework for Implementing Barriers of AI in Public Healthcare for Improving Operational Excellence: Experiences from Developing Countries," Sustainability, MDPI, vol. 14(18), pages 1-23, September.
    4. Kirti Nayal & Shashank Kumar & Rakesh D. Raut & Maciel M. Queiroz & Pragati Priyadarshinee & Balkrishna E. Narkhede, 2022. "Supply chain firm performance in circular economy and digital era to achieve sustainable development goals," Business Strategy and the Environment, Wiley Blackwell, vol. 31(3), pages 1058-1073, March.

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