Green supply chain management in the platform economy: a bibliometric analysis

This paper aims to provide a bibliometric analysis of green supply chain management in platform economy (GSCM-PE) literature. Based on the bibliometric approach, a descriptive analysis is engaged in the literature published from 2003 to 2020 in Web of Science. There are 1404 publications in this field of GSCM-PE. The number of publications has increased steadily since 2013. China is an essential contributor to this field, with the largest number of publications (356), followed by the USA (175) and England (116). However, China's total citation is 0.5 times that of the USA, which indicates that China needs further strengthened in quality. In addition, the cooperation between European and American countries is relatively active. Six clusters are identified from co-word network, and their main conclusions are as follows: (i) based on Internet technology, the application of SCM in business is the hottest topic and (ii) network risk and security requires further exploration.

• Record URL:
  https://doi.org/10.1080/13675567.2021.1885635
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13675567
• Supplemental Notes:
  • © 2021 Informa UK Limited, trading as Taylor & Francis Group. Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Zhang, Ning
  • Zhao, Yu
• Publication Date: 2022-5

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Maps; References; Tables;
• Pagination: pp 639-655
• Serial:
  • International Journal of Logistics Research and Applications
  • Volume: 25
  • Issue Number: 4-5
  • Publisher: Taylor & Francis
  • ISSN: 1367-5567
  • EISSN: 1469-848X
  • Serial URL: http://www.tandfonline.com/toc/cjol20/current

Subject/Index Terms

• TRT Terms: Literature reviews; Supply chain management; Sustainable development
• Geographic Terms: China
• Subject Areas: Environment; Freight Transportation; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01846456
• Record Type: Publication
• Files: TRIS
• Created Date: May 24 2022 10:08AM