Contextual Difference in the Drivers of Internet-of-Things-Adoption in Road, Rail, and Maritime Freight Transport

The Internet of Things (IoT) is widely considered an important infrastructure for enhancing the transparency of processes and the quality of business decisions in the era of Industry 4.0 (I4.0). Yet, little is known about the differential drivers of the adoption of IoT for different modes of freight...

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Veröffentlicht in:IEEE transactions on engineering management 2024, Vol.71, p.11125-11137
Hauptverfasser: Rajak, Binay Kumar, Chatterjee, Swagato, Upadhyay, Amit, Rani, M. Vimala
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creator Rajak, Binay Kumar
Chatterjee, Swagato
Upadhyay, Amit
Rani, M. Vimala
description The Internet of Things (IoT) is widely considered an important infrastructure for enhancing the transparency of processes and the quality of business decisions in the era of Industry 4.0 (I4.0). Yet, little is known about the differential drivers of the adoption of IoT for different modes of freight transport. Since the modes of freight transport differ substantially, the purpose of this article is to compare the contextual differences among IoT adoption drivers in road, rail, and maritime freight transport and assess the suitability of different modes of freight transport for IoT adoption. The identified drivers for IoT adoption are classified under the technology, organization, and environmental framework, and the relative weight of drivers for road, rail, and maritime freight transport are compared using fuzzy analytic network process method. The most important drivers for freight transport are competitive advantage, management support (MGS), and security and privacy. Comparatively, the most prioritized driver for road transport is investment cost, for rail transport is MGS, and for maritime is the ease of use. This article found the maritime transport as the best mode to adopt IoT using multiobjective optimization on the basis of a ratio analysis plus the full multiplicative form method. The results identify prospective customers for IoT adoption, help the government and policymakers develop transport policies, including freight modal share and National Rail Plan vision, and assist transport managers in developing strategies for I4.0.
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source IEEE Electronic Library (IEL)
subjects and environmental (TOE) framework
Business competition
Costs
Decision analysis
Freight transport
Freight transportation
fuzzy analytic network process (FANP)
Industrial applications
Industries
Industry 4.0
Internet of Things
Internet of Things (IoT)
Locomotives
logistics management
Marine transportation
multicriteria decision-making (MCDM)
multiobjective optimization on the basis of a ratio analysis plus the full multiplicative form (MULTIMOORA)
Multiple objective analysis
organization
Rail transportation
Rails
Ratio analysis
Road transportation
Roads
Supply chains
technology
Technology adoption
Transportation
Vehicles
title Contextual Difference in the Drivers of Internet-of-Things-Adoption in Road, Rail, and Maritime Freight Transport
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