Research on Quality Evaluation of Campus Crowdsourcing Logistics Service
- DOI
- 10.2991/978-94-6463-038-1_53How to use a DOI?
- Keywords
- Crowdsourcing logistics; Campus crowdsourcing; Quality of service
- Abstract
Crowdsourcing logistics is an effective means to solve the difficulty of distribution at the end of campus. Based on literature research and practical investigation, this paper puts forward the factors that can be used to analyze the quality evaluation of campus crowdsourcing logistics services from the perspective of campus crowdsourcing logistics. We determined the distribution of three indicators of campus crowdsourcing logistics service quality as a convenience, security, and responsiveness. We choose hierarchical analysis as the research method and conduct the empirical investigation in the form of a face-to-face interviews. Based on the results of empirical analysis, the influence weights of convenience, safety, and responsiveness were determined to be 45.7% %, 18.9%, and 35.4%, respectively. Our study provides a reference for improving the quality of campus crowdsourcing logistics services.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Feng Zhao AU - Yu Xie PY - 2022 DA - 2022/12/15 TI - Research on Quality Evaluation of Campus Crowdsourcing Logistics Service BT - Proceedings of the 2022 3rd International Conference on Management Science and Engineering Management (ICMSEM 2022) PB - Atlantis Press SP - 571 EP - 579 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-038-1_53 DO - 10.2991/978-94-6463-038-1_53 ID - Zhao2022 ER -