Why Are People Addicted to SNS? Understanding the Role of SNS Characteristics in the Formation of SNS Addiction

IF 7 3区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of the Association for Information Systems Pub Date : 2022-01-01 DOI:10.17705/1JAIS.00735
Haifeng Xu, T. Phan, B. Tan
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引用次数: 3

Abstract

Research has shown that many people use social networking sites (SNS) excessively, which may lead to various negative consequences. With the aim of reducing SNS addition, this study investigates the role of SNS characteristics in the formation of SNS addiction. By applying incentive sensitization theory in the context of SNS addiction, we suggest that the compulsive motivation for using an SNS is developed by pleasurable and rewarding SNS use experiences. Social network characteristics and communication characteristics, which determine the rewards that users obtain from SNS use, moderate the relationship between habitual SNS use and SNS addiction. We develop novel behavioral measures of habitual SNS use and SNS addiction based on SNS activity logs and empirically test the research model using a large and unique dataset. Besides contributing to the theoretical development of SNS addiction, the results of this study offer practical options to help prevent SNS addiction. Moreover, the measures of SNS addiction enable the automated monitoring of user behavior on SNS, which could be useful for detecting potential SNS addicts.
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为什么人们会沉迷于社交网络?了解社交网络特征在社交网络成瘾形成中的作用
研究表明,许多人过度使用社交网站(SNS),这可能会导致各种负面后果。为了减少社交网络的使用,本研究探讨了社交网络特征在社交网络成瘾形成中的作用。通过将激励敏化理论应用于社交网络成瘾,我们认为使用社交网络的强迫性动机是由愉快和奖励的社交网络使用体验形成的。社交网络特征和交流特征决定了用户从SNS使用中获得的奖励,调节了习惯性SNS使用与SNS成瘾之间的关系。我们开发了基于SNS活动日志的习惯性SNS使用和SNS成瘾的新行为测量方法,并使用一个庞大而独特的数据集对研究模型进行了实证检验。除了有助于SNS成瘾的理论发展外,本研究的结果还为帮助预防SNS成瘾提供了实际的选择。此外,社交网络成瘾的测量能够自动监测用户在社交网络上的行为,这可能有助于发现潜在的社交网络成瘾者。
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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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