首页> 外文期刊>Internet Research: Electronic Networking Applications and Policy >Investigating the determinants of medical crowdfunding performance: a signaling theory perspective
【24h】

Investigating the determinants of medical crowdfunding performance: a signaling theory perspective

机译:研究医疗众筹绩效的决定因素:信号理论视角

获取原文
获取原文并翻译 | 示例

摘要

Purpose This study examines the determinants of medical crowdfunding performance. Drawing on signaling theory, the authors investigate how funding-related signals (funding goal and duration), story-related signals (text length, text sentiment, and use of first-person pronouns), and donor-related signals (donor identity disclosure) affect medical crowdfunding performance. Design/methodology/approach This study analyzed the data of 754 medical crowdfunding projects collected from the Qingsongchou platform in China to test the proposed model. Findings The empirical findings reveal that both funding goal and funding duration exhibit a U-shaped relationship with crowdfunding performance. Additionally, the authors find evidence that story text length and donor identity disclosure are positively related to crowdfunding performance, whereas the use of first-person pronouns is negatively related to crowdfunding performance. Originality/value This study extends the understanding of the determinants of medical crowdfunding performance through the signaling theory. Specifically, this study provides new insights into the roles of funding goal and funding duration in predicting medical crowdfunding performance and identifies several new predictors of crowdfunding performance, including the use of first-person pronouns in project story text and donor identity disclosure.
机译:目的 本研究考察了医疗众筹绩效的决定因素。借鉴信号理论,作者研究了与资金相关的信号(资金目标和持续时间)、与故事相关的信号(文本长度、文本情感和第一人称代词的使用)和捐赠者相关信号(捐赠者身份披露)如何影响医疗众筹绩效。设计/方法/途径 本研究分析了从中国青松湄平台收集的754个医疗众筹项目的数据,以测试所提出的模型。结果 实证研究结果表明,融资目标和融资期限均与众筹绩效呈U型关系。此外,作者发现有证据表明,故事文本长度和捐赠者身份披露与众筹绩效呈正相关,而第一人称代词的使用与众筹绩效呈负相关。原创性/价值 本研究通过信号理论扩展了对医疗众筹绩效决定因素的理解。具体而言,本研究为资助目标和资助持续时间在预测医疗众筹绩效中的作用提供了新的见解,并确定了众筹绩效的几个新预测因素,包括在项目故事文本中使用第一人称代词和捐赠者身份披露。

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号