Highlights The effect of big data on the lean, agile, resilient, and green (LARG) supply chain is limited. Investigates the role of ‘Big Data Analytics’ (BDA) as a mediator for ‘sustainable supply chain business performance’. A sample of 297 responses from thirty-seven Indian manufacturing firms was collected. Identified constructs of BDA adoption were analysed empirically. Assists practitioners in managing LARG practices to a sustainable supply chain.

    Abstract The effect of big data on the lean, agile, resilient, and green (LARG) supply chain has not been explored much in the literature. This study investigates the role of ‘Big Data Analytics’ (BDA) as a mediator between ‘sustainable supply chain business performance’ and key factors, namely, lean practices, social practices, environmental practices, organisational practices, supply chain practices, financial practices, and total quality management. A sample of 297 responses from thirty-seven Indian manufacturing firms was collected. The paper is beneficial for managers and practitioners to understand supply chain analytics, and it addresses challenges in the management of LARG practices to contribute to a sustainable supply chain.


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    Titel :

    Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains


    Beteiligte:
    Raut, Rakesh D. (Autor:in) / Mangla, Sachin Kumar (Autor:in) / Narwane, Vaibhav S. (Autor:in) / Dora, Manoj (Autor:in) / Liu, Mengqi (Autor:in)


    Erscheinungsdatum :

    2020-11-14




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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