Drivers for Internet of Things (IoT) Adoption in Supply Chains: Implications for Sustainability in the Post-pandemic Era

Ali, SM; Ashraf, A; Taqi, HMM; Ahmed, S; Rob, SMA; Kabir, G; Paul, SK

Drivers for Internet of Things (IoT) Adoption in Supply Chains: Implications for Sustainability in the Post-pandemic Era

Ali, SM Ashraf, A Taqi, HMM Ahmed, S Rob, SMA Kabir, G Paul, SK

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Computers & Industrial Engineering, 2023, 183, pp. 109515-109515
Issue Date:: 2023-08

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Field	Value	Language
dc.contributor.author	Ali, SM
dc.contributor.author	Ashraf, A
dc.contributor.author	Taqi, HMM
dc.contributor.author	Ahmed, S
dc.contributor.author	Rob, SMA
dc.contributor.author	Kabir, G
dc.contributor.author	Paul, SK
dc.date.accessioned	2024-03-04T00:22:43Z
dc.date.available	2024-03-04T00:22:43Z
dc.date.issued	2023-08
dc.identifier.citation	Computers & Industrial Engineering, 2023, 183, pp. 109515-109515
dc.identifier.issn	0360-8352
dc.identifier.issn	1879-0550
dc.identifier.uri	http://hdl.handle.net/10453/176037
dc.description.abstract	As the post-COVID-19 pandemic era begins, the supply chain operating environment has transformed and faced disruptions. The Internet of Things (IoT) has emerged as one of the expedient technologies in the information technology domain, which solves the issues of traditional supply chain management (SCM) by providing resiliency, flexibility, and traceability. Despite the perceived advantages of IoT, it remains unknown what drivers are essential to adopt IoT in SCM. To achieve this aim, an integrated approach combining rough set theory and decision-making trial and evaluation laboratory (DEMATEL), that is rough strength relation analysis (RSRA) method, has been used to identify and investigate drivers of IoT adoption in SCM where drivers were analyzed according to their comparative importance based on expert opinions from industrial and academic backgrounds. A total of 14 drivers have been identified from the extensive literature review on previous IoT and SCM associated works, which were further analyzed to determine the most important drivers. The results show that “Efficient logistics systems”, “Business knowledge acumen”, and “Information safety assurance” are among the three most predominant driving factors. The findings may help practitioners implement IoT in supply chains to deal with disruptions, risks and vulnerabilities in the post-pandemic era.
dc.language	English
dc.publisher	Elsevier
dc.relation.ispartof	Computers & Industrial Engineering
dc.relation.isbasedon	10.1016/j.cie.2023.109515
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	01 Mathematical Sciences, 08 Information and Computing Sciences, 09 Engineering
dc.subject.classification	Industrial Engineering & Automation
dc.subject.classification	40 Engineering
dc.subject.classification	46 Information and computing sciences
dc.subject.classification	49 Mathematical sciences
dc.title	Drivers for Internet of Things (IoT) Adoption in Supply Chains: Implications for Sustainability in the Post-pandemic Era
dc.type	Journal Article
utslib.citation.volume	183
utslib.for	01 Mathematical Sciences
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Business
pubs.organisational-group	University of Technology Sydney/Faculty of Business/Management Discipline
pubs.organisational-group	University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	closed_access	*
pubs.consider-herdc	true
dc.date.updated	2024-03-04T00:22:42Z
pubs.publication-status	Published
pubs.volume	183

Abstract:

As the post-COVID-19 pandemic era begins, the supply chain operating environment has transformed and faced disruptions. The Internet of Things (IoT) has emerged as one of the expedient technologies in the information technology domain, which solves the issues of traditional supply chain management (SCM) by providing resiliency, flexibility, and traceability. Despite the perceived advantages of IoT, it remains unknown what drivers are essential to adopt IoT in SCM. To achieve this aim, an integrated approach combining rough set theory and decision-making trial and evaluation laboratory (DEMATEL), that is rough strength relation analysis (RSRA) method, has been used to identify and investigate drivers of IoT adoption in SCM where drivers were analyzed according to their comparative importance based on expert opinions from industrial and academic backgrounds. A total of 14 drivers have been identified from the extensive literature review on previous IoT and SCM associated works, which were further analyzed to determine the most important drivers. The results show that “Efficient logistics systems”, “Business knowledge acumen”, and “Information safety assurance” are among the three most predominant driving factors. The findings may help practitioners implement IoT in supply chains to deal with disruptions, risks and vulnerabilities in the post-pandemic era.

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http://hdl.handle.net/10453/176037