Research on the Residents’ Willingness to participate Community Social Organizations Based on Theory of Planned Behavior
- DOI
- 10.2991/978-2-38476-146-3_25How to use a DOI?
- Keywords
- theory of planned behavior; social network; willingness to participate; subjective norms
- Abstract
This paper introduces the social network into the theoretical framework of planned behaviour and constructs an extended theoretical model of planned behavior of residents’ willingness to participate in community social organizations. Based on the data of CGSS in 2017, the hierarchical regression model and the mediation effect model were used to discuss the influence mechanism of social network, behavioral attitude, subjective norms, and perceived behavioral control on the residents’ willingness to participate in social organizations. The research found that: (1) social network can significantly promote residents’ participation in community social organizations; (2) behavioral attitudes, subjective norms, and perceived behavior control can significantly promote residents’ participation in community social organizations; (3) subjective norms has a partial mediating effect between social network and willingness to participate in social organizations.
- 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 - Wanyi Liu AU - Bing Li PY - 2023 DA - 2023/11/29 TI - Research on the Residents’ Willingness to participate Community Social Organizations Based on Theory of Planned Behavior BT - Proceedings of the 2023 8th International Conference on Modern Management and Education Technology (MMET 2023) PB - Atlantis Press SP - 221 EP - 229 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-146-3_25 DO - 10.2991/978-2-38476-146-3_25 ID - Liu2023 ER -