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

Zahra Asadipour Abkenar (), Hamidreza Fallah Lajimi (), Mahdie Hamedi () and Sahar Valipour Parkouhi ()
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Zahra Asadipour Abkenar: University of Mazandaran
Hamidreza Fallah Lajimi: University of Mazandaran
Mahdie Hamedi: University of Tehran
Sahar Valipour Parkouhi: University of Mazandaran

A chapter in Advances in Best-Worst Method, 2022, pp 144-159 from Springer

Abstract: 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.

Keywords: Internet of Things (IoT); IoT barriers; Bayesian Best Worst Method (BWM); Food industry (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/978-3-030-89795-6_11

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