一个解释在线社交网站上自我表露的双过程模型:考察享受的调节作用

IF 5.9 3区 管理学 Q1 BUSINESS Internet Research Pub Date : 2023-11-28 DOI:10.1108/intr-08-2021-0545
Shanshan Zhang, Fengchun Huang, Lingling Yu, Jeremy Fei Wang, Paul Benjamin Lowry
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引用次数: 0

摘要

研究人员继续研究自我表露的概念,因为它是帮助社交网站(SNS)功能和发展的基础。然而,作者的文献综述表明,自我表露过程中涉及的潜在机制和因素仍然存在不确定性。本研究旨在从双过程理论的视角更好地理解自我表露过程。作者考虑了涉及自我表露的可控因素(如自我表现和互惠)和自动因素(如使用社交网络的社会影响),并扩大了作者提出的模型,以包括享受的互动方面。设计/方法/方法通过对中国微信朋友圈用户的调查,对所提出的模型进行了实证验证。研究结果证实,在社交网络自我表露过程中,享受与自动加工(即使用社交网络的社会影响)是互补的,享受负向调节控制因素(即自我呈现)与自我表露之间的正相关关系。在理论上,本研究为运用DPT解释SNS自我披露提供了一个新的视角。具体而言,本研究通过运用DPT来考察受控因素和自动因素如何塑造自我表露过程,以及在这些过程中享受的影响如何变化,为现有的SNS研究做出了贡献,丰富了对SNS自我表露行为的认识。实际上,作者为从业者提供了重要的设计指南,以设计机制来培养更多自动愉快的增值功能,以提高SNS用户的参与度和参与度。
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A dual-process model to explain self-disclosure on online social networking sites: examining the moderating effect of enjoyment
PurposeResearchers continue to address the concept of self-disclosure because it is foundational for helping social networking sites (SNS) function and thrive. Nevertheless, the authors' literature review indicates that uncertainty remains around the underlying mechanisms and factors involved in the self-disclosure process. The purpose of this research is to better understand the self-disclosure process from the lens of dual-process theory (DPT). The authors consider both the controlled factors (i.e. self-presentation and reciprocity) and an automatic factor (i.e. social influence to use an SNS) involved in self-disclosure and broaden The authors proposed a model to include the interactive facets of enjoyment.Design/methodology/approachThe proposed model was empirically validated by conducting a survey among users of WeChat Moments in China.FindingsAs hypothesized, this research confirms that enjoyment and automatic processing (i.e. social influence to use an SNS) are complementary in the SNS self-disclosure process and enjoyment negatively moderates the positive relationship between controlled factor (i.e. self-presentation) and self-disclosure.Originality/valueTheoretically, this study offers a new perspective on explaining SNS self-disclosure by adopting DPT. Specifically, this study contributes to the extant SNS research by applying DPT to examine how the controlled factors and the automatic factor shape self-disclosure processes and how enjoyment influences vary across these processes – enriching knowledge about SNS self-disclosure behaviors. Practically, the authors provide important design guidelines to practitioners concerning devising mechanisms to foster more automatic-enjoyable value-added functions to improve SNS users' participation and engagement.
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来源期刊
Internet Research
Internet Research 工程技术-电信学
CiteScore
11.20
自引率
10.20%
发文量
85
审稿时长
>12 weeks
期刊介绍: This wide-ranging interdisciplinary journal looks at the social, ethical, economic and political implications of the internet. Recent issues have focused on online and mobile gaming, the sharing economy, and the dark side of social media.
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