Cyber Supply Chain Risk Management and Performance in Industry 4.0 Era: Information System Security Practices in Malaysia

Y. Fernando, M.-L. Tseng, I.S. Wahyuni-Td, Ana Beatriz Lopes de Sousa Jabbour (), C.J. Chiappetta Jabbour and C. Foropon
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Ana Beatriz Lopes de Sousa Jabbour: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School

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Abstract: This study aims to investigate the direct and indirect effects of information system security practices that observed the relationship effect between cyber supply chain risk management and supply chain performance. In Industry 4.0 era, a cyber-attack becomes unavoidable and needs to adopt cyber supply chain risk management to improve the firm. The data were collected from 105 firms in Malaysia through online surveys. The partial least squares structural equation modeling technique examined the model's goodness and research hypothesis. The results revealed that operations, directly and indirectly, influence (via mediators) supply chain performance. In contrast, governance directly affects supply chain flexibility and indirect (via mediators) influence on supply chain performance; in addition, systems integration did not, directly, and indirectly, influence supply chain performance. This framework indicates the manufacturing industry and related parties with a better understanding of cyber supply chain risk management. \textcopyright 2022 Chinese Institute of Industrial Engineers.

Keywords: Computer crime; Crime; Cybe risk; Cyber attacks; cyber risk; Cyber-attacks; Cyber-Attacks; digitalization; Digitalization; industry 4.0; Industry 4.0; Information management; information system security; Information systems; Information systems security; Information use; Least squares approximations; Malaysia; Network security; Performance; Risk management; Risks management; Security Practice; supply chain management; Supply chain management; Supply chain performance; supply chain risk; Supply-chain risks (search for similar items in EconPapers)
Date: 2023
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Published in Journal of Industrial and Production Engineering, 2023, 40 (2), pp.102--116. ⟨10.1080/21681015.2022.2116495⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04276022

DOI: 10.1080/21681015.2022.2116495

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