Data-driven sustainable supply chain management performance: A hierarchical structure assessment under uncertainties

2019 ◽  
Vol 227 ◽  
pp. 760-771 ◽  
Author(s):  
Ming-Lang Tseng ◽  
Kuo-Jui Wu ◽  
Ming K. Lim ◽  
Wai-Peng Wong
2021 ◽  
Vol 167 ◽  
pp. 105421 ◽  
Author(s):  
Feng Ming Tsai ◽  
Tat-Dat Bui ◽  
Ming-Lang Tseng ◽  
Mohd Helmi Ali ◽  
Ming K. Lim ◽  
...  

2019 ◽  
Vol 28 (1) ◽  
pp. 118-131 ◽  
Author(s):  
Omid Narimissa ◽  
Ali Kangarani‐Farahani ◽  
Saber Molla‐Alizadeh‐Zavardehi

Author(s):  
Craig R. Carter ◽  
Marc R. Hatton ◽  
Chao Wu ◽  
Xiangjing Chen

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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