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Enhancing Supply Chain through Implementation of Key IIoT Technologies

Mahdi Safa, Kenneth W. Green, Pamela J. Zelbst, Victor E. Sower

2022Journal of Computer Information Systems12 citationsDOI

Abstract

The purpose of this study is to empirically assess the combined impact that Blockchain technology (BC), the Industrial Internet of Things (IIoT) technologies, and agile production have on supply chain performance. This study is narrowly based on the analysis of data from 303 U.S. manufacturing managers. The proposed theoretical model is analyzed following a covariance-based structural equation modeling methodology (CB/SEM). This is the first study to empirically assess the combined impact of Blockchain technology, IIoT technologies, and agile production on supply chain performance. The results support the conclusion that Blockchain and IIoT technologies are complementary and yield greater agility. Managers are provided with evidence that combining Blockchain, IIoT technologies, and agile production will lead to greater improvements in supply chain performance than using these technologies stand-alone.

Topics & Concepts

Supply chainAgile software developmentBlockchainKey (lock)Process managementProduction (economics)Emerging technologiesComputer scienceBusinessStructural equation modelingMarketingComputer securityEconomicsSoftware engineeringArtificial intelligenceMachine learningMacroeconomicsBlockchain Technology Applications and SecuritySupply Chain Resilience and Risk ManagementSupply Chain and Inventory Management
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