以人为本看待公民参与公民众筹平台:对公民支持者的混合方法研究

IF 6.5 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Information Systems Journal Pub Date : 2024-02-05 DOI:10.1111/isj.12503
Mohammad Soltani Delgosha, Nastaran Hajiheydari, Hossein Olya
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引用次数: 0

摘要

众筹平台已成为当代一种前景广阔的手段,用于动员集体公民行动,以解决地方或社会问题、提高社区凝聚力并发展公益事业。本实证研究探讨了研究不足的公民众筹平台(CCP),该平台旨在促进此类行动,通过众包和小额融资提出、支持和资助公益项目。以往的研究表明,个人特征会影响其参与社会问题的公民程度。考虑到贡献者动机的多样性,我们旨在揭示参与 CCP 的新兴公民亚群的动态。为此,我们采用了一种连续的混合方法,将我们的模糊集合定性比较分析(fsQCA)结果与一项深入的定性研究结果相结合,以获得丰富而有力的推论和元推论。在研究 1(n = 316)中,我们使用 fsQCA 探索了五种不同的配置特征,显示了公民支持者动机的异质性,包括公民拥护者、亲社会倡导者、规范支持者、奖励寻求者和后悔型贡献者。在研究 2 中,我们通过极端情况研究证实并补充了我们的 fsQCA 推论,并确定了四个边界条件。总之,我们的推论和元推论通过了解公民支持者的不同特征并将其理论化,解决了参与 CCP 动机的异质性问题。最后,我们为成功的公民众筹计划提供了实际意义。
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A person‐centred view of citizen participation in civic crowdfunding platforms: A mixed‐methods study of civic backers
Crowdfunding platforms have emerged as a promising contemporary means for mobilising collective civic actions to address local or social issues, improve community cohesion and develop the public good. This empirical study taps into the understudied civic crowdfunding platforms (CCP) developed to facilitate such actions, proposing, supporting and funding public‐interest projects through crowdsourcing and microfinancing. Previous studies have shown that individuals' characteristics affect their level of civic engagement with social issues. Considering the diversity of contributor motivations, we aim to shed light on the dynamics of emergent subpopulations of citizens who participate in CCPs. To this end, we use a sequential mixed‐methods approach to integrate our fuzzy set Qualitative Comparative Analysis (fsQCA) findings with the results of an in‐depth qualitative study, to gain rich and robust inferences and meta‐inferences. In Study 1 (n = 316), we used fsQCA to explore five distinctive configural profiles that display the heterogeneity of civic backers' motivations, including civic champions, prosocial advocates, normative supporters, reward seekers and regret‐averse contributors. In Study 2, we corroborated and complemented our fsQCA inferences through an extreme‐case study and identified four boundary conditions. Taken together, our inferences and meta‐inferences address the heterogeneity of motivations for participating in CCPs, by understanding and theorising about diverse profiles of citizen backers. Finally, we offer practical implications for successful civic crowdfunding initiatives.
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来源期刊
Information Systems Journal
Information Systems Journal INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
14.60
自引率
7.80%
发文量
44
期刊介绍: The Information Systems Journal (ISJ) is an international journal promoting the study of, and interest in, information systems. Articles are welcome on research, practice, experience, current issues and debates. The ISJ encourages submissions that reflect the wide and interdisciplinary nature of the subject and articles that integrate technological disciplines with social, contextual and management issues, based on research using appropriate research methods.The ISJ has particularly built its reputation by publishing qualitative research and it continues to welcome such papers. Quantitative research papers are also welcome but they need to emphasise the context of the research and the theoretical and practical implications of their findings.The ISJ does not publish purely technical papers.
期刊最新文献
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