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Big data analytics capability in healthcare operations and supply chain management: the role of green process innovation

Author

Listed:
  • Smail Benzidia

    (University of Lorraine)

  • Omar Bentahar

    (University of Lorraine)

  • Julien Husson

    (University of Lorraine)

  • Naouel Makaoui

    (ICD Business School)

Abstract

Green approaches remain little disseminated in the healthcare sector despite growing interest in recent years from practitioners and researchers. Big Data Analytics Capability (BDAC) can play a critical role in the integration of environmental concerns into operations and supply chain management (OSCM) and further strengthen the environmental performance of healthcare facilities. According to the literature, the integration of the environment into operations process remains insufficient to achieve high levels of performance and requires efforts in green process innovation. However, this relationship between BDAC and green process innovation remains poorly justified empirically. To address this theoretical gap, we investigated the relationship between BDAC, environmental process integration, green process innovation in OSCM and environmental performance. The main contribution of this study is the valuable knowledge on how BDAC influences environmental process integration and green process innovation to enhance environmental performance. Moreover, the study highlights the mediating role of green process innovation on environmental performance, a finding that has not been mentioned in the extant literature. The paper provides valuable insight for managers and stakeholders that can assist them in supporting the application of BDAC in healthcare OSCM to create sustainable value.

Suggested Citation

  • Smail Benzidia & Omar Bentahar & Julien Husson & Naouel Makaoui, 2024. "Big data analytics capability in healthcare operations and supply chain management: the role of green process innovation," Annals of Operations Research, Springer, vol. 333(2), pages 1077-1101, February.
    • Handle: RePEc:spr:annopr:v:333:y:2024:i:2:d:10.1007_s10479-022-05157-6
    DOI: 10.1007/s10479-022-05157-6
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