Role of big data analytics in developing sustainable capabilities

Sanjay Kumar Singh (Lead / Corresponding author), Abdul Nasser El-Kassar

    Research output: Contribution to journalArticlepeer-review

    348 Citations (Scopus)

    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.

    Original languageEnglish
    Pages (from-to)1264-1273
    Number of pages10
    JournalJournal of Cleaner Production
    Volume213
    Early online date27 Dec 2018
    DOIs
    Publication statusPublished - 10 Mar 2019

    Keywords

    • And environmental & organizational performance
    • Big data
    • Corporate commitment
    • Green human resource management practices
    • Green supply chain management
    • Sustainable capabilities

    ASJC Scopus subject areas

    • Renewable Energy, Sustainability and the Environment
    • General Environmental Science
    • Strategy and Management
    • Industrial and Manufacturing Engineering

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