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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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    References listed on IDEAS

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    Cited by:

    1. Khan, Muhammad Salar & Shoaib, Azka & Arledge, Elizabeth, 2023. "How to Promote AI in the US Federal Government: Insights from Policy Process Frameworks," SocArXiv vm43w, Center for Open Science.
    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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