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

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.

Investigating the COVID-19 pandemic’s impact on sustainable supplier selection in the Nigerian manufacturing sector

“…As such, our study suggests that COVID-19 pandemic response strategies can influence supply chain operations like SSS and thus, such strategies can be critical to supply chain sustainability ( Belhadi et al, 2021 ). Consequently, this study corroborates prior studies on sustainable supply chain management from the pandemic perspective ( Bui et al, 2020 , Hendiani et al, 2020 , Karmaker et al, 2021 , Klemes et al, 2020a , Klemes et al, 2020b ). Moreover, by investigating the COVID-19 pandemic’s impact on SSS, our study contradicts previous research efforts on sustainable supplier selection that failed to provide the COVID- 19 pandemic perspective to the sustainable supplier selection problem ( Khan et al, 2018 , Luthra et al, 2017 , Orji and Wei, 2015 ).…”

Modelling the impact of demand disruptions on two warehouse perishable inventory policy amid COVID-19 lockdown

“…The modernised, digital, and resilient supply chain systems must deal with the increasing supply chains' demands. Particularly, the start-ups with a vision of cutting costs by restructuring the supply chain operations need the hour for managing the economic shocks, conflicts, and pandemics (Bui et al 2021;Savary et al 2020). The customers radically change their purchasing behaviour and adjust their inventory positions due to such demand disruptions in the pandemics like COVID-19.…”

Analysis on the Development of Digital Economy in Guangdong Province Based on Improved Entropy Method and Multivariate Statistical Analysis

“…As a matter of fact, some researchers have also made quantitative analyses on their fields by the method similar to us. Bui et al [ 16 ] evaluated 273 keywords and 22 indicators obtained based on the experts’ advice by entropy weight method, fuzzy decision-making trial and evaluation laboratory in supply chains. Huang et al [ 17 ] used two historical data-driven weight calculation approaches including Entropy Weight Method (EWM) and Scatter Degree Method (SDM) to solve the risk assessment of railway dangerous goods transportation system (RDGTS).…”

“…Li et al [ 18 ] applied principal component analysis (PCA), entropy method and random forest to calculate weighted coefficients of key metrics when assessing the ecological health of large rivers. But references [ 16 , 17 , 18 ] just used the traditional entropy method and didn’t improve the algorithm.…”