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The effects of personalization on user continuance in social networking sites

机译:个性化对社交网站中用户持续性的影响

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Social networking sites (SNSs) enable user to personalize their contents and functions. This feature has been assumed as causing positive effects on the use of online information services through enhancing user satisfaction. However, unlike other online information services (non-participatory information services), due to the results of personalization in a certain situation, SNS users cannot help using the SNS even though they feel dissatisfaction on using it. SNSs are different from other information services in the sense that they create and sustain their own value based on the number of participating members. In SNSs, personalization, reflected by updates and maintenance of profile pages, results in such participation. This study hypothesizes that personalization influences on the continued use of SNSs through two factors: switching cost (extrinsic factor) and satisfaction (intrinsic factor). Web-based survey was conducted with the samples of 677 SNS users from six universities in the US. In-person interviews were conducted with 25 university students to elicit their thoughts on the SNSs. Quantitative analysis employed by testing the proposed model with five hypotheses through a structural equation modeling (SEM) technique. The transcribed interview data was analyzed following the constant comparative technique. The main findings indicate that, as expected, the personalization increases its switching cost as well as satisfaction, which results in further use of SNSs. These findings suggest that it is necessary to consider both extrinsic and intrinsic factors of user perceptions when adding personalization features on SNSs.
机译:社交网站(SNS)使用户可以个性化其内容和功能。假定此功能通过增强用户满意度对在线信息服务的使用产生积极影响。但是,与其他在线信息服务(非参与式信息服务)不同,由于在特定情况下的个性化结果,SNS用户即使对使用它感到不满意也无法帮助使用SNS。 SNS与其他信息服务的不同之处在于,它们基于参与成员的数量来创建和维持自己的价值。在SNS中,个性化(反映在个人资料页面的更新和维护中)导致了这种参与。本研究假设个性化通过两个因素影响SNS的继续使用:转换成本(外部因素)和满意度(内部因素)。基于网络的调查是对来自美国六所大学的677名SNS用户进行的抽样调查。对25名大学生进行了面试,以表达他们对SNS的想法。通过结构方程模型(SEM)技术使用五个假设对提议的模型进行测试,从而进行了定量分析。转录的访谈数据采用恒定比较技术进行分析。主要发现表明,正如预期的那样,个性化会增加其交换成本以及满意度,从而导致SNS的进一步使用。这些发现表明,在SNS上添加个性化功能时,有必要同时考虑用户感知的外部因素和内在因素。

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