Examining the role of intrinsic and extrinsic cues from service requirement narratives in web-based time banking participation decisions

Front Public Health. 2024 Dec 13:12:1502079. doi: 10.3389/fpubh.2024.1502079. eCollection 2024.

Abstract

Introduction: Time banking, known as "Community/Neighborhood Pension," instantiates a form of co-creation that can provide a new solution to fulfil the unmet social service needs of community members with idle resources, which is a feasible solution to alleviate pension pressure. The sustainable operation of time banks relies on the co-creation and active participation of community members. Therefore, in this study, we investigate the motivation of members to participate in web-based time banks from a service requirement narrative perspective.

Methods: We collected data of 21969 service requirement projects from publicly available information on the website of Nansha Timebank (nstimebank.com, a web-based time bank platform in China). Using the data, we built a model to assess how the intrinsic and extrinsic cues underlying service requirement narratives affect the time bank participation decisions of service providers drawing on grounded theory. Then we conducted a regression analysis to test our hypotheses.

Results: We find that participants respond positively to time coins return and narratives highlighting social connection and value fulfilment but respond negatively to service hour costs and empathy-altruism cues.

Discussion: Our findings suggest that people who receive services in web-based time banking platform should utilize different linguistic cues in service requirement descriptions to improve service exchange results.

Keywords: extrinsic motivation; grounded theory; intrinsic motivation; language cues; time banking.

MeSH terms

  • Adult
  • China
  • Community Participation / statistics & numerical data
  • Cues
  • Decision Making
  • Female
  • Humans
  • Internet*
  • Male
  • Middle Aged
  • Motivation
  • Narration

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research was funded by the National Natural Science Foundation of China [Grant Nos. 71904129, 71871145, 72031004, and 72371170], the Shenzhen Institute of Information Technology Supported Project for Key Research Areas [Grant No.SZIIT2024KJ033], the Characteristic Innovation Projects of Ordinary Universities in Guangdong Province [Grant No. 2021WTSCX227], the Shenzhen Science and Technology Program [Grant No. 20220804114140001], the Shenzhen University-Lingnan University Joint Research Program [Grant No. 202202004], the Shenzhen University High-Level University Construction Phase III-Human and Social Sciences Team Project for Interdisciplinary Innovation [Grant No. 24JCXK05], the Philosophy and Social Science Foundation of Shenzhen [Grant No. SZ2022C008], the Guangdong Provincial Philosophy and Social Science Planning Project [Grant No. GD23XGL114].