How do crowd logistics platforms create value? An exploratory case study from China
Crowd logistics platforms play an important role in value creation, but the extant literature has not clarified how platforms create value. Consequently, this multiple case study identifies three main types of value creation capabilities for crowd logistics platforms: resource matching, operations management, and risk control. Additionally, the study demonstrates that these crowd logistics platform capabilities create value by providing the most accurate matches between resources and requests while also enhancing driver agility and compliance. Based on these findings, the authors present four propositions that extend their understanding of crowd logistics platforms’ value creation capabilities and the process through which these capabilities lead to value creation. The study also provides valuable insights for crowd logistics companies to improve their value creation capabilities.
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13675567
-
Supplemental Notes:
- © 2019 Informa UK Limited, trading as Taylor & Francis Group. Abstract reprinted with permission of Taylor & Francis.
-
Authors:
- Li, Shuang
- Wu, Wenbing
- Xia, Yuhuan
- Zhang, Mingyu
- Wang, Shuxiang
- Douglas, Matthew A
- Publication Date: 2019-9
Language
- English
Media Info
- Media Type: Digital/other
- Features: Appendices; Figures; References; Tables;
- Pagination: pp 501-518
-
Serial:
- International Journal of Logistics Research and Applications
- Volume: 22
- Issue Number: 5
- Publisher: Taylor & Francis
- ISSN: 1367-5567
- EISSN: 1469-848X
- Serial URL: http://www.tandfonline.com/toc/cjol20/current
Subject/Index Terms
- TRT Terms: Case studies; Crowdsourcing; Delivery service; Logistics
- Geographic Terms: China
- Subject Areas: Freight Transportation; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01723463
- Record Type: Publication
- Files: TRIS
- Created Date: Nov 22 2019 4:48PM