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Study of Adoption and Absorption of Emerging Technologies for Smart Supply Chain Management: A Dynamic Capabilities Perspective

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  • Som Sekhar Bhattacharyya

    (National Institute of Industrial Engineering, Mumbai, India)

  • Debojit Maitra

    (National Institute of Industrial Engineering, Mumbai, India)

  • Subhamay Deb

    (National Institute of Industrial Engineering, Mumbai, India)

Abstract

The world has been witnessing the advent of a wide range of emerging technologies like machine learning, big data analytics, artificial intelligence, blockchain technology, internet of things, and others. In supply chain management (SCM) functions, these technologies have increasingly been playing a decisive role in improving the overall success of an organization. So, the purpose of this article was to understand the strategic imperative of adopting smart SCM utilizing these emerging technologies by Indian firms. Thus, the context was of an emerging economy like India from a dynamic capabilities' perspective. The authors undertook a qualitative research with a positivist approach by undertaking expert interviews with 14 respondents. The respondents were interviewed with a semi-structured open-ended questionnaire. The responses were content analyzed for themes. The SCM experts were engaged in the adoption of emerging technologies to transform SCM. The adoption of emerging technologies helped SCM functions of Indian firms to cater to the increased expectations of customers.

Suggested Citation

  • Som Sekhar Bhattacharyya & Debojit Maitra & Subhamay Deb, 2021. "Study of Adoption and Absorption of Emerging Technologies for Smart Supply Chain Management: A Dynamic Capabilities Perspective," International Journal of Applied Logistics (IJAL), IGI Global, vol. 11(2), pages 14-54, July.
    • Handle: RePEc:igg:jal000:v:11:y:2021:i:2:p:14-54
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    Cited by:

    1. Junaid, Muhammad & Zhang, Qingyu & Cao, Mei & Luqman, Adeel, 2023. "Nexus between technology enabled supply chain dynamic capabilities, integration, resilience, and sustainable performance: An empirical examination of healthcare organizations," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    2. Xiaozhu Yang, 2022. "Application of cloud computing technology in optimal design of decision support system under mass communication theory," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(3), pages 1177-1185, December.

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