Multi-method Utilization Evaluation of E-commerce Incubation Center
- DOI
- 10.2991/978-94-6463-210-1_7How to use a DOI?
- Keywords
- E-commerce incubation center; Utilization rate; Assessment
- Abstract
This paper addresses the problem of inaccurate utilization rate of e-commerce incubation centers, Indicators based on service environment, service content, service capacity and social impact, develop outcome and condition variable indicators using fsQCA, and derive e-commerce incubation center assessment indicator values through questionnaires. On this basis, the expected value was calculated using linear weighting, the efficacy coefficient was obtained by the efficacy coefficient method, and the closeness was calculated using the TOPSIS method. Finally, the set of expectations, posting progress, and efficacy coefficients are integrated to measure the evaluation value of the utilization rate of the e-commerce incubation center. Further, the empirical analysis determined the problem of underutilization of M incubation centers, with a view to providing new ideas for effectively assessing the utilization status of e-commerce incubation centers.
- 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 - Xin Hai AU - Mozhi Li AU - Dandan Zhao PY - 2023 DA - 2023/07/25 TI - Multi-method Utilization Evaluation of E-commerce Incubation Center BT - 2023 4th International Conference on E-Commerce and Internet Technology (ECIT 2023) PB - Atlantis Press SP - 41 EP - 49 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-210-1_7 DO - 10.2991/978-94-6463-210-1_7 ID - Hai2023 ER -