Avoiding the Diffusion of Responsibility in Social Networking Groups: A Field Experiment on Responses to Online Help-Request Referrals

IF 7 3区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Nan Feng, Zhongtao Hu, Yi Wu, Ben C. F. Choi
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引用次数: 0

Abstract

Help-request referral (HRR) campaigns are being increasingly adopted by online service providers to attract online traffic and engage new users. In these campaigns, participants are required to collect a specific amount of help from their social network in exchange for attractive rewards. Participants often face challengesin obtaining positive feedback from their social networking groups due to the diffusion of responsibility. Based on the triangle model of responsibility, this study proposes and empirically tests a research model that examines two key determinants (i.e., request personalization and relational closeness) of recipients’ perceived responsibility that further shape their responses to HRR. Our field experiment empirically supports the research hypotheses. Overall, this study enriches the literature on online social referrals by focusing on HRR, where social referrals are broadcasted and senders reap referral benefits. The study also provides practical insights for HRR designers and social networking service providers.
避免社会网络群体中的责任扩散:对在线帮助请求转介反应的现场实验
在线服务提供商越来越多地采用求助转介(HRR)活动来吸引在线流量和吸引新用户。在这些活动中,参与者需要从他们的社交网络中收集一定数量的帮助,以换取诱人的奖励。由于责任的分散,参与者在从他们的社交网络群体中获得积极反馈时经常面临挑战。基于责任三角模型,本研究提出并实证检验了一个研究模型,该模型检验了接受者感知责任的两个关键决定因素(即请求个性化和关系亲密度),这些决定因素进一步塑造了他们对HRR的反应。我们的现场实验实证支持了研究假设。总体而言,本研究通过关注HRR丰富了在线社会推荐的文献,其中社会推荐被广播,发送者获得推荐收益。该研究也为hr设计者和社交网络服务提供商提供了实用的见解。
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来源期刊
Journal of the Association for Information Systems
Journal of the Association for Information Systems 工程技术-计算机:信息系统
CiteScore
11.20
自引率
5.20%
发文量
33
审稿时长
>12 weeks
期刊介绍: The Journal of the Association for Information Systems (JAIS), the flagship journal of the Association for Information Systems, publishes the highest quality scholarship in the field of information systems. It is inclusive in topics, level and unit of analysis, theory, method and philosophical and research approach, reflecting all aspects of Information Systems globally. The Journal promotes innovative, interesting and rigorously developed conceptual and empirical contributions and encourages theory based multi- or inter-disciplinary research.
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