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

Bui, T. D., Tsai, F. M., Tseng, M. L., Tan, R. R., Yu, K. D. S. and Lim, M. K. (2021) Sustainable supply chain management towards disruption and organizational ambidexterity: a data driven analysis. Sustainable Production and Consumption, 26, pp. 373-410. (doi: 10.1016/j.spc.2020.09.017)

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Abstract

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.

Item Type:Articles
Keywords:Ambidexterity, Content analysis, Data driven, Disruption, Entropy weight method, Fuzzy decision-making trial and Evaluation laboratory, Fuzzy Delphi method, Sustainable supply chain management
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Lim, Professor Ming
Authors: Bui, T. D., Tsai, F. M., Tseng, M. L., Tan, R. R., Yu, K. D. S., and Lim, M. K.
College/School:College of Social Sciences > Adam Smith Business School > Management
Journal Name:Sustainable Production and Consumption
Publisher:Elsevier
ISSN:2352-5509
ISSN (Online):2352-5509
Published Online:28 September 2020

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