社交网站成瘾和用户反应

IF 2.8 4区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Hamed Qahri-Saremi, Isaac Vaghefi, Ofir Turel
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引用次数: 14

摘要

先前的研究主要使用“以变量为中心”的观点来确定用户对社交网站(SNS)成瘾反应的潜在因素、预测因素和结果。本文通过采用以人为中心的方法扩展了这一观点,研究了(1)用户SNS成瘾程度及其反应的原型亚群(概况),(2)与这些概况的隶属关系如何解释用户对SNS使用的行为,以及(3)人格特征如何预测与这些概况的隶属关系。为此,我们通过两项以人为中心的实证研究,提出了一种社交网络成瘾和用户反应的类型学理论。研究1利用188名社交网络用户的调查数据,根据他们的社交网络成瘾程度及其反应,对用户进行分类。它进一步研究了与这些档案的隶属关系与用户的SNS中断意图之间的关系,作为对SNS成瘾的典型行为反应。研究2使用284个社交网络用户的调查数据来验证研究1中开发的用户类型,并调查其与用户五大人格特征的关系。我们的研究结果揭示了社交网络用户的五种典型特征——谨慎型、规则型、和谐型、不和谐型和上瘾型——他们的社交网络成瘾程度以及对社交网络成瘾的认知、情感和行为反应各不相同。我们的研究结果也证明了五大人格特征是如何通过这些原型资料来预测用户关系的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Addiction to Social Networking Sites and User Responses
Prior studies have primarily used "variable-centered" perspectives to identify factors underlying user responses to social networking site (SNS) addiction, their predictors and outcomes. This paper extends this perspective by taking a person-centered approach to examine (1) the prototypical subpopulations (profiles) of users' extent of SNS addiction and responses to it, (2) how affiliations with these profiles can explain user behaviors toward SNS use, and (3) how personality traits can predict affiliations with these profiles. To this end, we propose a typological theory of SNS addiction and user responses to it via two empirical, personcentered studies. Study 1 draws on survey data from 188 SNS users to develop a typology of users based on the extent of their SNS addiction and their responses to it. It further examines the relations between affiliation with these profiles and users' SNS discontinuance intention, as a typical behavioral response to SNS addiction. Study 2 uses survey data from 284 SNS users to validate the user typology developed in Study 1 and investigate its relations to users' Big Five personality traits. Our findings shed light on a typology of five prototypical profiles of SNS users-cautious, regular, consonant, dissonant, and hooked-who differ in their extent of SNS addiction and their cognitive, emotional, and behavioral responses to it. Our findings also demonstrate how Big Five personality traits can predict user affiliations with these prototypical profiles.
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来源期刊
Data Base for Advances in Information Systems
Data Base for Advances in Information Systems INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
3.60
自引率
7.10%
发文量
18
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