Gamified giving: Contingent effects of leaderboard rankings on donation behavior in online medical crowdfunding

IF 6.8 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Decision Support Systems Pub Date : 2025-07-08 DOI:10.1016/j.dss.2025.114505

Yi Wu , Leping Xiao , Zhongtao Hu , Na Liu , Nan Feng

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引用次数: 0

Abstract

Online medical crowdfunding has emerged as a vital resource for patients seeking public assistance. As a typical gamification design, leaderboards play a crucial role in boosting users' donation. Grounded in motivational affordance and social influence theories, this study investigates how different leaderboard types and rankings influence donation through the underlying mechanism of sense of self-worth. A 2 (leaderboard ranking: high vs. low) × 2 (leaderboard type: public vs. social) between-subject experiment was conducted to validate our research model. The results reveal that high rankings enhance users' donation intentions by boosting their sense of self-worth. This positive effect is more pronounced in public leaderboards than in social ones. Additionally, donation experience weakens the positive effect of sense of self-worth on donation intention. This study contributes to the decision support systems literatures on online crowdfunding and gamification design with practical implications for fundraising strategies.

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游戏化捐赠：排行榜排名对在线医疗众筹捐赠行为的偶然影响

在线医疗众筹已成为寻求公共援助的患者的重要资源。作为一种典型的游戏化设计，排行榜在促进用户捐赠方面发挥着至关重要的作用。本研究以动机启示理论和社会影响理论为基础，探讨了不同排行榜类型和排名如何通过自我价值感的潜在机制影响捐赠。为了验证我们的研究模型，我们进行了2（排行榜排名：高vs低）× 2（排行榜类型：公共vs社交）受试者间实验。结果显示，高排名通过提升用户的自我价值感来增强他们的捐赠意愿。这种积极影响在公共排行榜中比在社交排行榜中更为明显。此外，捐赠经历削弱了自我价值感对捐赠意愿的正向作用。本研究对网络众筹和游戏化设计的决策支持系统文献有一定的借鉴意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Decision Support Systems 工程技术-计算机：人工智能

CiteScore

14.70

自引率

6.70%

发文量

119

审稿时长

13 months

期刊介绍： The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).