PMID- 35915306
OWN - NLM
STAT- MEDLINE
DCOM- 20220923
LR  - 20220923
IS  - 1614-7499 (Electronic)
IS  - 0944-1344 (Print)
IS  - 0944-1344 (Linking)
VI  - 29
IP  - 44
DP  - 2022 Sep
TI  - Risk management in sustainable supply chain: a knowledge map towards intellectual 
      structure, logic diagram, and conceptual model.
PG  - 66041-66067
LID - 10.1007/s11356-022-22255-x [doi]
AB  - The global spread of COVID-19, international trade protectionism, geopolitical 
      conflicts, and climate change presents challenges and risks to sustainable supply 
      chains (SSCs). In recent years, scholarly interest in sustainable supply chain 
      risk management (SSCRM) has continued to rise. A helpful literature review is 
      necessary to enable supply chain practitioners to apply empirical findings from 
      academic research or conceptual frameworks to their operations to maintain the 
      stability and competitiveness of sustainable supply chains. The knowledge map of 
      SSCRM is explored in this study using both quantitative and qualitative analysis. 
      A total of 793 articles were retrieved to reveal the knowledge map of SSCRM. 
      Scientometric and context analysis are combined in quantitative analysis to 
      identify the intellectual structure of risk management research related to SSC. 
      Then, a critical review is conducted in qualitative analysis to summarize and 
      analyze the motivations, strategies, approaches, and tools of SSCRM. Combining 
      the quantitative and qualitative analysis results, a conceptual model is 
      constructed for SSCRM from three aspects: (1) risk identification, (2) risk 
      assessment, and (3) risk mitigating and responding. Finally, future research 
      directions are suggested based on the conceptual model for guiding the theories 
      and practice of SSCRM. This study can work as a roadmap for providing appropriate 
      risk management policies and toolkits to SSC, which could advance theoretical 
      thinking on how to mitigate SSC risks.
CI  - (c) 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, 
      part of Springer Nature.
FAU - Wang, Liang
AU  - Wang L
AUID- ORCID: 0000-0002-4063-6842
AD  - School of Maritime Economics and Management, Dalian Maritime University, Dalian, 
      116026, China. liangwang@dlmu.edu.cn.
FAU - Cheng, Yiming
AU  - Cheng Y
AD  - School of Maritime Economics and Management, Dalian Maritime University, Dalian, 
      116026, China.
FAU - Wang, Zeyu
AU  - Wang Z
AD  - School of Management, Guangzhou University, Guangzhou, 150001, China.
LA  - eng
GR  - L20BGL056/Social Science Planning Fund of Liaoning Province/
PT  - Journal Article
PT  - Review
DEP - 20220801
PL  - Germany
TA  - Environ Sci Pollut Res Int
JT  - Environmental science and pollution research international
JID - 9441769
SB  - IM
MH  - *COVID-19
MH  - *Commerce
MH  - Humans
MH  - Internationality
MH  - Logic
MH  - Risk Management
PMC - PMC9342943
OTO - NOTNLM
OT  - Conceptual model
OT  - Intellectual structure
OT  - Knowledge map
OT  - Logic diagram
OT  - Risk management
OT  - Sustainable supply chain
COIS- The authors declare no competing interests.
EDAT- 2022/08/02 06:00
MHDA- 2022/09/24 06:00
PMCR- 2022/08/01
CRDT- 2022/08/01 23:29
PHST- 2022/03/08 00:00 [received]
PHST- 2022/07/22 00:00 [accepted]
PHST- 2022/08/02 06:00 [pubmed]
PHST- 2022/09/24 06:00 [medline]
PHST- 2022/08/01 23:29 [entrez]
PHST- 2022/08/01 00:00 [pmc-release]
AID - 10.1007/s11356-022-22255-x [pii]
AID - 22255 [pii]
AID - 10.1007/s11356-022-22255-x [doi]
PST - ppublish
SO  - Environ Sci Pollut Res Int. 2022 Sep;29(44):66041-66067. doi: 
      10.1007/s11356-022-22255-x. Epub 2022 Aug 1.