| Issue |
SHS Web Conf.
Volume 234, 2026
International Conference on Innovation Economy and Business Management (ICIEBM 2026)
|
|
|---|---|---|
| Article Number | 01009 | |
| Number of page(s) | 11 | |
| Section | Consumer Psychology & Behavioral Insights | |
| DOI | https://doi.org/10.1051/shsconf/202623401009 | |
| Published online | 19 June 2026 | |
Linking Operational Behaviours to Long-Term Brand Loyalty in Early-Stage User Communities of Emerging Consumer Brands
1 Aien Institute, Shanghai Ocean University, 201306 Shanghai, China
2 School of Accounting, Southwestern University of Finance and Economics, 611130 Chengdu, China
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
In the context of the decline of traffic benefits, new consumer brands generally face issues of user loss and lack of growth. How to transform short-term traffic into long-term brand loyalty through early user community operations has become a key issue in the industry. This study, based on the SOR theory, uses multi-case comparison and process tracking methods, and takes Pop Mart and Perfect Diary as examples to explore the influence mechanism of community operation behaviours on brand loyalty. The results show that early community operations can be divided into three types: interaction, co-creation, and exclusive benefits; different operation behaviours will trigger differentiated psychological identifications of emotional attachment or value recognition; emotional attachment drives diverse loyalty behaviours, while value recognition only leads to functional repeat purchases. The study reveals the transmission path of “operational behaviour → psychological identification → brand loyalty”, providing theoretical references and practical inspirations for new consumer brands to optimize community operations and cultivate long-term user loyalty.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

