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    Role of big data analytics in developing sustainable capabilities


    Singh, Sanjay and El-Kassar, Abdul-Nasser (2019) Role of big data analytics in developing sustainable capabilities. Journal of Cleaner Production, 213. pp. 1264-1273. ISSN 0959-6526

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    Abstract

    The purpose of this study is to examine the extent of sustainable capabilities driven by corporate commitment resulting from the integration of big data technologies, green supply chain management, and green human resource management practices, and the extent to which these capabilities can enhance the broader firm performance. The study was also designed to investigate the degree to which green human resource management practices influence the integration of big data technologies with processes and enhance the relationships between green supply chain management practices, both internal and external, as well as their influence on sustainable performance. We used dynamic capabilities theory and proposed a conceptual research model which was tested empirically. The findings of our study establish the influence of big data driven strategies on business growth in terms of sustainable performance by considering internal processes that constitute sustainable capabilities. The study recommends the integration of green supply chain management, green human resource management practices, and big data management to enhance firms’ sustainable capabilities that lead to better sustainable performance.

    Item Type: Article
    Additional Information: Cite as: Sanjay Kumar Singh, Abdul-Nasser El-Kassar, Role of big data analytics in developing sustainable capabilities, Journal of Cleaner Production, Volume 213, 2019, Pages 1264-1273, ISSN 0959-6526, https://doi.org/10.1016/j.jclepro.2018.12.199. (https://www.sciencedirect.com/science/article/pii/S0959652618339155)
    Keywords: Sustainable capabilities; Big data; Corporate commitment; Green supply chain management; Green human resource management practices; environmental & organizational performance;
    Academic Unit: Faculty of Social Sciences > School of Business
    Item ID: 14979
    Identification Number: https://doi.org/10.1016/j.jclepro.2018.12.199
    Depositing User: Sanjay Singh
    Date Deposited: 03 Nov 2021 16:13
    Journal or Publication Title: Journal of Cleaner Production
    Publisher: Elsevier
    Refereed: Yes
    URI:
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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