 Assessing IoT challenges in supply chain: A comparative study before and during- COVID-19 using interval valued neutrosophic analytical hierarchy processEnes Eryarsoy, Huseyin Selcuk Kilic, Selim Zaim and Marzhan Doszhanova Journal of Business Research, 2022, vol. 147, issue C, 108-123 Abstract: Although the Internet of Things (IoT) has spawned a new breed of smart factories within supply chains, the latest pandemic has ushered in unparalleled supply chain disturbances. Following the challenges identified in the literature, we interview top experts to evaluate the significance of these challenges. We apply a multi-criteria decision analysis (MCDA) tool, analytical hierarchy process (AHP) in combination with interval-valued neutrosophic numbers (IVN). The critical part of this research is that we also perform a comparative analysis by focusing on before- and during- the pandemic periods individually to better assess the impact of the latest pandemic on the IoT challenges. Our study also includes a comprehensive, systematic literature review to bring the readers up-to-date. Keywords: Internet of Things; IoT; Industrial internet of things; IIoT; Industry 4.0; i4.0; Supply chain management; COVID-19; Analytical hierarchy process (AHP); Multi-criteria decision analysis (MCDA); Interval-valued neutrosophic sets (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:147:y:2022:i:c:p:108-123 DOI: 10.1016/j.jbusres.2022.03.036 Access Statistics for this article Journal of Business Research is currently edited by A. G. Woodside More articles in Journal of Business Research from Elsevier |
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