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The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance

Author

Listed:
  • Smaïl Benzidia

    (CEREFIGE - Centre Européen de Recherche en Economie Financière et Gestion des Entreprises - UL - Université de Lorraine)

  • Naouel Makaoui

    (ICD International Business School Paris)

  • Omar Bentahar

    (CEREFIGE - Centre Européen de Recherche en Economie Financière et Gestion des Entreprises - UL - Université de Lorraine)

Abstract

Big data analytics and artificial intelligence (BDA-AI) technologies have attracted increasing interest in recent years from academics and practitioners. However, few empirical studies have investigated the benefits of BDA-AI in the supply chain integration process and its impact on environmental performance. To fill this gap, we extended the organizational information processing theory by integrating BDA-AI and positioning digital learning as a moderator of the green supply chain process. We developed a conceptual model to test a sample of data from 168 French hospitals using a partial least squares regression-based structural equation modeling method. The findings showed that the use of BDA-AI technologies has a significant effect on environmental process integration and green supply chain collaboration. The study also underlined that both environmental process integration and green supply chain collaboration have a significant impact on environmental performance. The results highlight the moderating role of green digital learning in the relationships between BDA-AI and green supply chain collaboration, a major finding that has not been highlighted in the extant literature. This article provides valuable insight for logistics/supply chain managers, helping them in mobilizing BDA-AI technologies for supporting green supply processes and enhancing environmental performance.

Suggested Citation

  • Smaïl Benzidia & Naouel Makaoui & Omar Bentahar, 2021. "The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance," Post-Print hal-03028127, HAL.
    • Handle: RePEc:hal:journl:hal-03028127
    DOI: 10.1016/j.techfore.2020.120557
    Note: View the original document on HAL open archive server: https://hal.science/hal-03028127
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    References listed on IDEAS

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    1. Tsan‐Ming Choi & Stein W. Wallace & Yulan Wang, 2018. "Big Data Analytics in Operations Management," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1868-1883, October.
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