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Determining the Importance of Barriers to IoT Implementation Using Bayesian Best-Worst Method

In: Advances in Best-Worst Method

Author

Listed:
  • Zahra Asadipour Abkenar

    (University of Mazandaran)

  • Hamidreza Fallah Lajimi

    (University of Mazandaran)

  • Mahdie Hamedi

    (University of Tehran)

  • Sahar Valipour Parkouhi

    (University of Mazandaran)

Abstract

The Internet of Things (IoT), as one of the enablers of the Fourth Industrial Revolution, has inspired many innovative logistics and supply chain applications and will affect supply chain management. In the future, IoT will provide us with an infrastructure for the vast global network of physical objects that will give significant transparency to supply chain management. Despite its numerous benefits, various industries have not yet been able to take full advantage of IoT instruments in logistics and supply chain; because IoT implementation has many barriers. Therefore, this study aims to review the literature and identify the multiple barriers to the implementation of the Internet of Things in the food industry and then uses the Bayesian Best-Worst Method (BWM) to investigate their priority. Findings show that lack of internet infrastructure is the most vital barrier to the implementation of IoT in the food industry. This research can be helpful for managers who want to install IoT platforms in their business.

Suggested Citation

  • Zahra Asadipour Abkenar & Hamidreza Fallah Lajimi & Mahdie Hamedi & Sahar Valipour Parkouhi, 2022. "Determining the Importance of Barriers to IoT Implementation Using Bayesian Best-Worst Method," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 144-159, Springer.
    • Handle: RePEc:spr:lnopch:978-3-030-89795-6_11
    DOI: 10.1007/978-3-030-89795-6_11
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