Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Tat Dat Bui, Feng Ming Tsai, Ming Lang Tseng, Raymond R. Tan, Krista Danielle S. Yu, Ming K. Lim

    Research output: Contribution to journalReview articlepeer-review

    75 Citations (Scopus)
    258 Downloads (Pure)


    Balancing sustainability and disruption of supply chains requires organizational ambidexterity. Sustainable supply chains prioritize efficiency and economies of scale and may not have sufficient redundancy to withstand disruptive events. There is a developing body of literature that attempts to reconcile these two aspects. This study gives a data-driven literature review of sustainable supply chain management trends toward ambidexterity and disruption. The critical review reveals temporal trends and geographic distribution of literature. A hybrid of data-driven analysis approach based on content and bibliometric analyses, fuzzy Delphi method, entropy weight method, and fuzzy decision-making trial and evaluation laboratory is used on 273 keywords and 22 indicators obtained based on the experts’ evaluation. The most important indicators are identified as supply chain agility, supply chain coordination, supply chain finance, supply chain flexibility, supply chain resilience, and sustainability. The regions show different tendencies compared with others. Asia and Oceania, Latin America and the Caribbean, and Africa are the regions needs improvement, while Europe and North America show distinct apprehensions on supply chain network design. The main contribution of this review is the identification of the knowledge frontier, which then leads to a discussion of prospects for future studies and practical industry implementation.

    Original languageEnglish
    Pages (from-to)373-410
    Number of pages38
    JournalSustainable Production and Consumption
    Early online date28 Sep 2020
    Publication statusPublished - Apr 2021

    Bibliographical note

    NOTICE: this is the author’s version of a work that was accepted for publication in Sustainable Production and Consumption Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Sustainable Production and Consumption, [[26] (2021)] DOI: 10.1016/j.spc.2020.09.017

    © 2021, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International


    • Ambidexterity
    • Content analysis
    • Data driven
    • Disruption
    • Entropy weight method
    • Fuzzy decision-making trial and Evaluation laboratory
    • Fuzzy Delphi method
    • Sustainable supply chain management

    ASJC Scopus subject areas

    • Environmental Engineering
    • Environmental Chemistry
    • Renewable Energy, Sustainability and the Environment
    • Industrial and Manufacturing Engineering


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