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Big data analytics capability in healthcare operations and supply chain management: the role of green process innovation
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 (OS...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845835/ https://www.ncbi.nlm.nih.gov/pubmed/36687515 http://dx.doi.org/10.1007/s10479-022-05157-6 |
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author | Benzidia, Smail Bentahar, Omar Husson, Julien Makaoui, Naouel |
author_facet | Benzidia, Smail Bentahar, Omar Husson, Julien Makaoui, Naouel |
author_sort | Benzidia, Smail |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9845835 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-98458352023-01-18 Big data analytics capability in healthcare operations and supply chain management: the role of green process innovation Benzidia, Smail Bentahar, Omar Husson, Julien Makaoui, Naouel Ann Oper Res Original Research 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. Springer US 2023-01-18 /pmc/articles/PMC9845835/ /pubmed/36687515 http://dx.doi.org/10.1007/s10479-022-05157-6 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Research Benzidia, Smail Bentahar, Omar Husson, Julien Makaoui, Naouel Big data analytics capability in healthcare operations and supply chain management: the role of green process innovation |
title | Big data analytics capability in healthcare operations and supply chain management: the role of green process innovation |
title_full | Big data analytics capability in healthcare operations and supply chain management: the role of green process innovation |
title_fullStr | Big data analytics capability in healthcare operations and supply chain management: the role of green process innovation |
title_full_unstemmed | Big data analytics capability in healthcare operations and supply chain management: the role of green process innovation |
title_short | Big data analytics capability in healthcare operations and supply chain management: the role of green process innovation |
title_sort | big data analytics capability in healthcare operations and supply chain management: the role of green process innovation |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845835/ https://www.ncbi.nlm.nih.gov/pubmed/36687515 http://dx.doi.org/10.1007/s10479-022-05157-6 |
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