社交网络疲劳:回顾前因后果

Sajeet Pradhan
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引用次数: 4

摘要

目的采用应力-应变-结果(S-S-O)模型探讨社会网络疲劳(SNF)的前因和后果。它建立在先前学者在社交网络领域的工作基础上,通过关注解释研究焦点结构的干预过程。设计/方法/方法为了测试所提出的框架,该研究从印度Facebook用户中提取了横断面数据。使用在线调查收集数据,并使用SmartPLS分析309有效和完整的最终样本,以检验研究的假设。研究结果表明,对错过的恐惧(FoMO)与Facebook的强迫性使用(CU)呈正相关。CU对SNF有正向和显著的直接和间接影响(通过信息和社会超载)。SNF与抑郁(DEP)和间断使用意图(DUI)显著相关。而Facebook使用强度(FBI)对FoMO与CU之间关系的调节作用不显著。原创性/价值首先,本研究提出并实证检验了一个基于S-S-O模型的综合模型,以理解SNF的前因和后果。其次,与过去的大多数研究不同,该研究使用的印度样本不具有年龄特异性(青少年或年轻人)。第三,它考察了以前学者提出但尚未探索的各种中间阶段和过程(通过中介和调节)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Social network fatigue: revisiting the antecedents and consequences
PurposeThe study explores the antecedents and consequences of social network fatigue (SNF) using the stress–strain–outcome (S-S-O) model. It builds on the work of previous scholars in the area of SNS by focussing on the intervening processes that explain the study's focal constructs.Design/methodology/approachTo test the proposed framework, the study draws cross-sectional data from Indian Facebook users. Data were collected using an online survey, and the final sample of 309 valid and complete responses was analysed using SmartPLS to test the study's hypotheses.FindingsThe findings of the study report fear of missing out (FoMO) to be positively related to compulsive use (CU) of Facebook. CU had positive and significant direct and indirect effects (via information and social overload) on SNF. SNF was significantly associated with both depression (DEP) and discontinuous use intention (DUI). However, Facebook use intensity (FBI)'s moderating role on the relationship between FoMO and CU was insignificant.Originality/valueFirst, the current study proposes and empirically tests a comprehensive model on the lines of the S-S-O model to understand the antecedents and consequences of SNF. Second, the study uses an Indian sample that is not age-specific (adolescents or young adults), unlike most past studies. Third, it examines various intervening stages and processes (through mediation and moderation) suggested by previous scholars but not yet explored.
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