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Value Enablement of Collaborative Supply Chain Environment Embedded With the Internet of Things: Empirical Evidence From the Automotive Industry in India

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  • Samir Yerpude

    (Symbiosis Centre of Innovation and Research, India)

  • Tarun Kumar Singhal

    (Symbiosis Centre for Management Studies, Noida, India)

Abstract

Currently, industry is going through the fourth Industrial Revolution, also termed Industry 4.0. It is characterized mainly by the cyber-physical systems dominated by digital technologies such as the Internet of Things (IoT). Organizations are making significant effort to understand customer needs and subsequently align them to the business goals for achieving market leadership. It is imperative for the longevity of the organization that goods and services be made available to the customer at the most appropriate place, time, and price. Supply chains are contributing to achieving this organizational goal. A paradigm shift was observed in the past few decades when organizations competed as supply chains in the market more than an individual brand. This shift brought forward the importance of collaborative supply chains. Researchers in this study have presented the impact of IoT origins on real-time data on a collaborative supply chain model, including internally and externally aligned parameters. The study recommends the best model basis for the goodness of fit from the customer and vendor perspective for the automotive industry in India.

Suggested Citation

  • Samir Yerpude & Tarun Kumar Singhal, 2020. "Value Enablement of Collaborative Supply Chain Environment Embedded With the Internet of Things: Empirical Evidence From the Automotive Industry in India," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 16(3), pages 19-51, July.
  • Handle: RePEc:igg:jiit00:v:16:y:2020:i:3:p:19-51
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    Cited by:

    1. Saeed Turki Alshahrani, 2023. "Industry 4.0 in “Major Emerging Markets”: A Systematic Literature Review of Benefits, Use, Challenges, and Mitigation Strategies in Supply Chain Management," Sustainability, MDPI, vol. 15(20), pages 1-30, October.
    2. Lifeng Mu & Xin Tang & Vijayan Sugumaran & Wei Xu & Xiangyang Sun, 2023. "Optimal rebate strategy for an online retailer with a cashback platform: commission-driven or marketing-based?," Electronic Commerce Research, Springer, vol. 23(1), pages 475-510, March.

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