喧嚣是真实的:研究在LinkedIn上消费理想化自我宣传内容的自我相关后果

S. Oliver, Ben Marder, Laura Lavertu, Kirsten Cowan, Ana Javornik, Elena Osadchaya
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引用次数: 0

摘要

目的每天,LinkedIn 等职业网络的用户都会被大量介绍其联系人成就的帖子所充斥(例如:我得到了一份新工作/奖励)。本研究从自我怀疑的角度出发,探讨了在专业网络上浏览这类理想化的自我宣传内容所带来的混合情感和行为后果。研究结果在专业社交网站上浏览理想化的自我宣传内容对LinkedIn用户来说是一把情感双刃剑。用户既会感到沮丧,也会感到交感神经失调(即为他人感到高兴),这取决于他们所报告的基于职业的自我差异。我们发现,交感神经的体验与发帖者的关系亲疏(熟人与好友)有关。此外,我们还展示了由此产生的情绪如何驱动自我调节的补偿性信息技术使用行为(即直接解决、流动补偿、分离和逃避)。首先,我们将交感神经失调引入到信息技术文献中,从而厘清了关于混合情绪的不一致研究结果。其次,我们研究了关系亲密程度的边界条件。第三,我们通过研究由混合情感结果产生的补偿性消费行为来扩展我们的研究结果。最后,我们以专业网络为背景进行了研究,因为对专业网络的研究远远不够,而且专业网络与个人网络截然不同。我们还讨论了实际意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The hustle is real: an examination of the self-related consequences of consuming idealized self-promotional content on LinkedIn
PurposeEveryday users of professional networks such as LinkedIn are flooded by posts presenting the achievements of their connections (e.g. I got a new job/award). The present research takes a self-discrepancy perspective to examine the mixed-emotional and behavioral consequences of viewing such idealized self-promotional content on professional networks.Design/methodology/approachThe emotional and behavioral consequences following viewership of idealized self-promotional content on LinkedIn are explored through one pilot study (N = 109) and one online experiment (N = 714), which is evaluated using structural equation modeling.FindingsViewership of idealized self-promotional content on professional social networking sites acts as an emotional double-edged sword for LinkedIn users. Users feel both dejection and symhedonia (i.e. happiness for others), dependent on their reported career-based self-discrepancy. We find the experience of symhedonia to be bound by the relational closeness of the poster (acquaintance vs close friend). Furthermore, we show how resultant emotions drive self-regulatory compensatory IT-use behaviors (i.e. direct resolution, fluid compensation, dissociation, and escapism).Originality/valueWe offer four distinct contributions. Firstly, we disentangle inconsistent findings of mixed emotions by introducing symhedonia to IT literature. Secondly, we investigate the boundary condition of relational closeness. Thirdly, we extend our findings by investigating compensatory-consumption behaviors that stem from mixed-affective outcomes. Finally, we do so in the context of professional networks, which are greatly understudied and are distinctive from personal networks. Practical implications are discussed.
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