Market Governance Analysis Using Fuzzy-Set QCA: Taking Suzhou Offline Shopping for Seven Days Without Reason as an Example
Authors
Lutong Xu1, *, Chen Yi1
1School of Politics and Public Administration, Soochow University, Xinghu Street, Suzhou, China
*Corresponding author.
Email: xulutong@126.com
Corresponding Author
Lutong Xu
Available Online 20 December 2022.
- DOI
- 10.2991/978-94-6463-030-5_144How to use a DOI?
- Keywords
- QCA; Informational Market; Market Governance
- Abstract
This paper explores the sustainability factors affecting market governance innovation initiatives via the seven-day unconditional return offline shopping initiative introduced by the Suzhou Municipal Administration of Market Supervision, which is also combined with market governance innovation cases from other regions. With that, this study conducted a qualitative comparative analysis using the computer software fs/QCA3.0, so as to determine the sustainability factors affecting market governance innovation initiatives. The data analysis concludes that the case is systematic, institutionalized, and informational in character.
- 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 - Lutong Xu AU - Chen Yi PY - 2022 DA - 2022/12/20 TI - Market Governance Analysis Using Fuzzy-Set QCA: Taking Suzhou Offline Shopping for Seven Days Without Reason as an Example BT - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022) PB - Atlantis Press SP - 1447 EP - 1454 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-030-5_144 DO - 10.2991/978-94-6463-030-5_144 ID - Xu2022 ER -