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The effect of IoT capability on supply chain integration and firm performance: An Empirical study in the UK Retail industry

Author

Listed:
  • M. Argyropoulou
  • E. Garcia
  • S. Nemati
  • K. Spanaki

    (Audencia Business School)

Abstract

Purpose- The purpose of this study is to use empirical data to examine the hierarchical impact of the Internet of Things capability on supply chain integration, supply chain capability and firm performance in the UK retail industry. Design/Methodology/approach-A deductive approach was employed to carry out this research. Structural Equation modelling (SEM) was performed using the Partial Least Square method (SmartPLS 3.3.3) to test theoretical predictions which underlie the relationships among IoTC, SCI, SCC, and firm performance. Data is collected using an online survey completed by senior executives of 66 large, medium, and small firms within the UK retail industry. Findings- The empirical results of this research reveal that IoTC has a significant positive effect on the UK retail industry firm performance through the mediating role of supply chain integration and supply chain capability. Practical Implications- The research results from this study provide useful management insights for firms within the retail industry into the development of effective strategies for integrating their supply chain alongside the adoption of IoTC into supply chain integration, consequently leading to improvements in firm performance. Originality/value- Although previous studies have explored the impact of IoT on firm performance through the sequential mediating role of SCI and SCC, few have explored the impact of the IoT capability on firm performance through sequential mediators, i.e., SCI and SCC. This study examines the relationship between IoT capability, SCI, SCC and FP in the UK retail industry supply chain to address this knowledge gap. Moreover, this study examines the effects of IoT capability on firm performance by applying PLS-SEM techniques. Testing the sequential mediating role of SCI and SCI is undertaken, and analysing the relationships among IoT-enabled SCI and SCC to improve firm performance. The robustness check's result through PLSpredict analysis also confirms the power of the model proposed in this study.

Suggested Citation

  • M. Argyropoulou & E. Garcia & S. Nemati & K. Spanaki, 2024. "The effect of IoT capability on supply chain integration and firm performance: An Empirical study in the UK Retail industry," Post-Print hal-04575493, HAL.
  • Handle: RePEc:hal:journl:hal-04575493
    DOI: 10.1108/JEIM-06-2022-0219
    Note: View the original document on HAL open archive server: https://hal.science/hal-04575493v3
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    References listed on IDEAS

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    1. Ataseven, Cigdem & Nair, Anand, 2017. "Assessment of supply chain integration and performance relationships: A meta-analytic investigation of the literature," International Journal of Production Economics, Elsevier, vol. 185(C), pages 252-265.
    2. Brian Tomlin, 2006. "On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks," Management Science, INFORMS, vol. 52(5), pages 639-657, May.
    3. Barbara B. Flynn & Xenophon Koufteros & Guanyi Lu, 2016. "On Theory in Supply Chain Uncertainty and its Implications for Supply Chain Integration," Journal of Supply Chain Management, Institute for Supply Management, vol. 52(3), pages 3-27, July.
    4. Sarstedt, Marko & Hair, Joseph F. & Cheah, Jun-Hwa & Becker, Jan-Michael & Ringle, Christian M., 2019. "How to specify, estimate, and validate higher-order constructs in PLS-SEM," Australasian marketing journal, Elsevier, vol. 27(3), pages 197-211.
    5. Rameshwar Dubey & Angappa Gunasekaran & Stephen J. Childe & Samuel Fosso Wamba & David Roubaud & Cyril Foropon, 2021. "Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience," International Journal of Production Research, Taylor & Francis Journals, vol. 59(1), pages 110-128, January.
    6. Scott L. Newbert, 2007. "Empirical research on the resource‐based view of the firm: an assessment and suggestions for future research," Strategic Management Journal, Wiley Blackwell, vol. 28(2), pages 121-146, February.
    7. Alfalla-Luque, Rafaela & Marin-Garcia, Juan A. & Medina-Lopez, Carmen, 2015. "An analysis of the direct and mediated effects of employee commitment and supply chain integration on organisational performance," International Journal of Production Economics, Elsevier, vol. 162(C), pages 242-257.
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    Cited by:

    1. Muhammad Khalilur Rahman & Md Arafat Hossain & Arsalan Zahid Piprani & Ahmad Ridhuwan Abdullah, 2025. "Impact of tech-driven integration, flexibility, and ambidexterity on supply chain integration and performance in manufacturing firms: moderating role of uncertainty and agility," Future Business Journal, Springer, vol. 11(1), pages 1-20, December.

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