Article2020

Internet of Things – the future of managing supply chain risks

197 citations0/0 files storedSupply Chain Management An International Journal

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Supply Chain Resilience and Risk Management Supply Chain and Inventory Management Impact of AI and Big Data on Business and Society

Abstract

Purpose The purpose of this paper is to investigate the implications for supply chain risk management (SCRM) by applying internet of things (IoT). Therefore, the impact and effects on the SCRM process, as well as the internal and external pathway and the outcome of SCRM are examined. Design/methodology/approach This study adopts a multiple case study methodology with twelve companies from the manufacturing industry. This study is guided by the information processing theory (IPT) and a theory-grounded research framework to provide insights into information requirements and information processing capabilities for IoT-supported SCRM. Findings The studied cases demonstrate an increase in data availability in the companies that contribute to improved process transparency and process management. Furthermore, the process steps, risk transparency, risk knowledge and risk strategies have been enhanced, which enabled improved SCRM performance by fitting information requirements and information processing capabilities, thus allowing for competitive advantage. Practical implications This study offers in-depth insights for SCRM managers into the structure of IoT systems, primary use cases and changes for the process itself. Furthermore, implications for employees, incentives and barriers are identified, which could be used to redesign SCRM. Originality/value This study addresses the requirement for additional empirical research on technology-enhanced SCRM, supported by IPT as a theoretical foundation. The radical change of SCRM by IoT is demonstrated while discussing the human role, implications for SCRM strategies and identifying relevant topics for future development.

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References

1994The magical number seven, plus or minus two: Some limits on our capacity for processing information.1990Grounded theory research: Procedures, canons, and evaluative criteria 2002Case research in operations management 2004Building the Resilient Supply Chain 1978Information Processing as an Integrating Concept in Organizational Design 1974Organization Design: An Information Processing View 2018The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics 2008What passes as a rigorous case study?

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2021Is artificial intelligence an enabler of supply chain resiliency post COVID-19? An exploratory state-of-the-art review for future research 2020Reshaping the policy debate on the implications of COVID-19 for global supply chains 2023Internet of Things (IoT) in Supply Chain Management: Challenges, Opportunities, and Best Practices 2022Investigating the relationship between digital technologies, supply chain integration and firm resilience in the context of COVID-19 2022Risk management of supply chains in the digital transformation era: contribution and challenges of blockchain technology

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