scholarly journals Cyber-Physical Production Networks and Advanced Digitalization in Industry 4.0 Manufacturing Systems: Sustainable Supply Chain Management, Organizational Resilience, and Data-driven Innovation

2019 ◽  
Vol 7 (3) ◽  
pp. 27
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Data Driven ◽  
Organizational Resilience ◽  
Sustainable Supply Chain ◽  
Production Networks ◽  
Chain Management ◽  
Sustainable Supply Chain Management

Sustainable supply chain management trends in world regions: A data-driven analysis

2021 ◽  
Vol 167 ◽  
pp. 105421 ◽  
Author(s):  
Feng Ming Tsai ◽  
Tat-Dat Bui ◽  
Ming-Lang Tseng ◽  
Mohd Helmi Ali ◽  
Ming K. Lim ◽  
...  
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Data Driven ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Sustainable Supply Chain Management ◽  
World Regions

Sustainable supply chain management: continuing evolution and future directions

2019 ◽  
Vol 50 (1) ◽  
pp. 122-146 ◽  
Author(s):  
Craig R. Carter ◽  
Marc R. Hatton ◽  
Chao Wu ◽  
Xiangjing Chen
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Theory Development ◽  
Future Research ◽  
Sustainable Supply Chain ◽  
Unit Of Analysis ◽  
Chain Management ◽  
Content Type ◽  
Empirical Validity ◽  
Sustainable Supply Chain Management

Purpose The purpose of this paper is to update the work of Carter and Easton (2011), by conducting a systematic review of the sustainable supply chain management (SSCM) literature in the primary logistics and supply chain management journals, during the 2010–2018 timeframe. Design/methodology/approach The authors use a systematic literature review (SLR) methodology which follows the methodology employed by Carter and Easton (2011). An evaluation of this methodology, using the Modified AMSTAR criteria, demonstrates a high level of empirical validity. Findings The field of SSCM continues to evolve with changes in substantive focus, theoretical lenses, unit of analysis, methodology and type of analysis. However, there are still abundant future research opportunities, including investigating under-researched topics such as diversity and human rights/working conditions, employing the group as the unit of analysis and better addressing empirical validity and social desirability bias. Research limitations/implications The findings result in prescriptions and a broad agenda to guide future research in the SSCM arena. The final section of the paper provides additional avenues for future research surrounding theory development and decision making. Originality/value This SLR provides a rigorous, methodologically valid review of the continuing evolution of empirical SSCM research over a 28-year time period.

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