PMID- 36083365
OWN - NLM
STAT- MEDLINE
DCOM- 20230207
LR  - 20230207
IS  - 1614-7499 (Electronic)
IS  - 0944-1344 (Print)
IS  - 0944-1344 (Linking)
VI  - 30
IP  - 4
DP  - 2023 Jan
TI  - A multi-criteria decision-making framework for electric vehicle supplier 
      selection of government agencies and public bodies in China.
PG  - 10540-10559
LID - 10.1007/s11356-022-22783-6 [doi]
AB  - Electric vehicle deployment shows promising potentials in promoting cleaner 
      energy utilization and reducing carbon emission. Due to increasing carbon neutral 
      pressure and market competition from transportation sector, government agencies 
      and public bodies (GAPBs) have emphasized the significance of electric vehicle 
      adoption through supplier selection. Consequently, GAPBs must consider a 
      reasonable criteria system and a comprehensive supplier selection framework and 
      rationally select the electric vehicle supplier that matches their practical 
      needs in terms of economic, social, environmental, and technical factors. This 
      paper provides insights into electric vehicle supplier selection (EVSS) from the 
      perspective of GAPBs using an integrated multi-criteria decision-making (MCDM) 
      framework based on best-worst method (BWM) and fuzzy ViseKriterijumska 
      Optimizacija I Kompromisno Resenje (VIKOR). Initially, 14 critical factors from 
      economic, social, environmental, and technical dimensions are identified as the 
      criteria by literature review and experts' opinions. Then, a comprehensive 
      decision framework using the integrated MCDM approach is proposed. To validate 
      the applicability and feasibility of the proposed framework, a case study is 
      launched and analyzed. It emerges that bad environmental record, cost, quality, 
      service, and environmental initiatives are the most important criteria in EVSS 
      for GAPBs with the weight values of 0.1995, 0.1172, 0.1219, 0.0708, and 0.2553. 
      The comparative analysis and the sensitivity analysis are performed for verifying 
      the reliability of the proposed framework. The work helps to understand the 
      electric vehicle supplier selection criteria and makes methodological 
      decision-making support for GAPBs.
CI  - (c) 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, 
      part of Springer Nature.
FAU - Wei, Qiushuang
AU  - Wei Q
AD  - Emergency Management Institute of Guangxi Normal University, School of Politics 
      and Public Administration, Guangxi Normal University, Guilin, 541004, China. 
      blbqhjj@163.com.
AD  - Guangxi Key Laboratory of Landscape Resources Conservation and Sustainable 
      Utilization in Lijiang River Basin, Guangxi Normal University, Guilin, 541004, 
      China. blbqhjj@163.com.
FAU - Zhou, Chao
AU  - Zhou C
AD  - Emergency Management Institute of Guangxi Normal University, School of Politics 
      and Public Administration, Guangxi Normal University, Guilin, 541004, China.
LA  - eng
GR  - AB21220057/Guangxi Key Research and Development Program/
GR  - 2022KY0015/Guangxi Research Ability Improving Project of Young and Middle-aged 
      Teachers/
GR  - GuiJiaoRenCai [2020]6/Special Funding Project for High-level Innovation Teams and 
      Outstanding Scholars Plan of Guangxi Colleges and Universities/
GR  - LRCSU21Z0321/Research Funds of The Guangxi Key Laboratory of Landscape Resources 
      Conservation and Sustainable Utilization in Lijiang River Basin, Guangxi Normal 
      University/
PT  - Journal Article
DEP - 20220909
PL  - Germany
TA  - Environ Sci Pollut Res Int
JT  - Environmental science and pollution research international
JID - 9441769
RN  - 7440-44-0 (Carbon)
SB  - IM
MH  - Reproducibility of Results
MH  - China
MH  - *Carbon
PMC - PMC9461430
OTO - NOTNLM
OT  - Electric vehicle
OT  - Multi-criteria decision-making
OT  - Supplier selection
COIS- The authors declare no competing interests.
EDAT- 2022/09/10 06:00
MHDA- 2023/02/08 06:00
PMCR- 2022/09/09
CRDT- 2022/09/09 11:16
PHST- 2022/06/08 00:00 [received]
PHST- 2022/08/24 00:00 [accepted]
PHST- 2022/09/10 06:00 [pubmed]
PHST- 2023/02/08 06:00 [medline]
PHST- 2022/09/09 11:16 [entrez]
PHST- 2022/09/09 00:00 [pmc-release]
AID - 10.1007/s11356-022-22783-6 [pii]
AID - 22783 [pii]
AID - 10.1007/s11356-022-22783-6 [doi]
PST - ppublish
SO  - Environ Sci Pollut Res Int. 2023 Jan;30(4):10540-10559. doi: 
      10.1007/s11356-022-22783-6. Epub 2022 Sep 9.