过载对社交网络疲倦的影响及其用户差异分析

甘春梅; 胡凤玲

doi:10.13266/j.issn.2095-5472.2019.033

PDF(1103 KB)

知识管理论坛 ›› 2019, Vol. 4 ›› Issue (6) : 332-341. DOI: 10.13266/j.issn.2095-5472.2019.033

学术探索

过载对社交网络疲倦的影响及其用户差异分析

甘春梅 ,
胡凤玲

作者信息 +

Effects of Overload on Social Network Fatigue and User Difference Analysis

Gan Chunmei ,
Hu Fengling

Author information +

文章历史 +

摘要

[目的/意义] 从过载视角探讨引起社交网络疲倦的原因，并考虑性别、年龄、群体（工作群体、学生群体）和使用时间的差异，为改善社交网络疲倦现象提供建议。[方法/过程] 通过在线问卷搜集416份数据，利用结构方程模型和t检验进行数据分析。[结果/结论] 结果显示，信息过载、社交过载和系统过载显著影响社交网络疲倦，其中信息过载的作用最大，其次是系统过载和社交过载。与此同时，年龄、群体（工作群体、学生群体）在信息过载和系统过载对疲倦的影响上存在差异；性别在社交过载和系统过载对疲倦的影响上存在差异；使用时间在社交过载和系统过载对疲倦的影响上存在差异。

Abstract

[Purpose/significance] This paper attempts to explore factors influencing social network fatigue, and consider differences of gender, age, group (work group vs. student group)and usage time, so as to provide suggestions to change this phenomenon. [Method/process] A total of 416 social networking site users participated in an online questionnaire survey and further analyzed using SEM and T-test. [Result/conclusion] The results show that, information overload, social overload and system overload significantly affect social network fatigue, where information overload has the greatest effect, followed by system overload and social overload. In addition, age and group (work group vs. student group) have significant differences in the impacts of information overload and system overload on fatigue; gender has significant differences in the impacts of social overload and system overload on fatigue; and usage time has significant differences in the impacts of social overload and system overload on fatigue.

导出引用

甘春梅 , 胡凤玲. 过载对社交网络疲倦的影响及其用户差异分析[J]. 知识管理论坛. 2019, 4(6): 332-341 https://doi.org/10.13266/j.issn.2095-5472.2019.033

Gan Chunmei , Hu Fengling. Effects of Overload on Social Network Fatigue and User Difference Analysis[J]. Knowledge Management Forum. 2019, 4(6): 332-341 https://doi.org/10.13266/j.issn.2095-5472.2019.033

中图分类号： G252

参考文献

列表( 原文顺序 | 文献年度倒序 | 文中引用次数倒序 ) 可视化分析

[1]	GAN C, LI H. Understanding the effects of gratifications on the continuance intention to use WeChat in China: a perspective on uses and gratifications[J]. Computers in human behavior, 2018, 78: 306-315. 本文引用 [1]

[2]	腾讯创始人张志东：信息过载时代，科技如何向善？[EB/OL].[2019-04-20].http://www.tisi.org/4999.html. 本文引用 [1]

[3]	SWAR B, HAMEED T, REYCHAV I. Information overload, psychological ill-being, and behavioral intention to continue online healthcare information search[J]. Computers in human behavior, 2017, 70: 416-425. 本文引用 [1]

[4]	CHOI S B, LIM M S. Effects of social and technology overload on psychological well-being in young South Korean adults: the mediatory role of social network service addiction[J]. Computers in human behavior, 2016, 61: 245-254. 本文引用 [2]

[5]	GAN C. Understanding WeChat users' liking behavior: an empirical study in China[J]. Computers in human behavior, 2017, 68: 30-39. 本文引用 [1]

[6]	THELWALL M, VIS F. Gender and image sharing on Facebook, Twitter, Instagram, Snapchat and WhatsApp in the UK: hobbying alone or filtering for friends?[J]. Aslib journal of information management, 2017, 69(6): 702-720. 本文引用 [1]

[7]	ZHU X, BAO Z. Why people use social networking sites passively: an empirical study integrating impression management concern, privacy concern, and SNS fatigue[J]. Aslib journal of information management, 2018, 70(2): 158-175. 本文引用 [2]

[8]	BRIGHT L F, KLEISER S B, GRAU S L. Too much Facebook? An exploratory examination of social media fatigue[J]. Computers in human behavior, 2015, 44: 148-155. 本文引用 [1]

[9]	DHIR A, YOSSATORN Y, KAUR P, et al. Online social media fatigue and psychological wellbeing—a study of compulsive use, fear of missing out, fatigue, anxiety and depression[J]. International journal of information management, 2018, 40: 141-152. 本文引用 [1]

[10]	LUQMAN A, CAO X, ALI A, et al. Empirical investigation of Facebook discontinues usage intentions based on SOR paradigm[J]. Computers in human behavior, 2017, 70: 544-555. 本文引用 [1]

[11]	MAIER C, LAUMER S, WEINERT C, et al. The effects of technostress and switching stress on discontinued use of social networking services: a study of Facebook use[J]. Information systems journal, 2015, 25(3): 275-308. 本文引用 [2]

[12]	RAVINDRAN T, YEOWKUAN A C, HOE LIAN D G. Antecedents and effects of social network fatigue[J]. Journal of the association for information science and technology, 2014, 65(11): 2306-2320. 本文引用 [2]

[13]	KIM S, PARK H, CHOI M J. Negative impact of social network services based on stressor-stress-outcome: the role of experience of privacy violations[J]. Future internet, 2019, 11(6): 137. 本文引用 [1]

[14]	LIM M, YANG Y. Effects of users’ envy and shame on social comparison that occurs on social network services[J]. Computers in human behavior, 2015, 51: 300-311. 本文引用 [1]

[15]	LIAN S, SUU X, ZHOU Z, et al. Social networking site addiction and undergraduate students’ irrational procrastination: the mediating role of social networking site fatigue and the moderating role of effortful control[J]. PLOS ONE, 2018, 13(12): e0208162. 本文引用 [1]

[16]	ZHU Y, BAO Z. The role of negative network externalities in SNS fatigue: an empirical study based on impression management concern, privacy concern, and social overload[J]. Data technologies and applications, 2018, 52(3): 313-328. 本文引用 [1]

[17]	刘鲁川,李旭,张冰倩.基于扎根理论的社交媒体用户倦怠与消极使用研究[J].情报理论与实践,2017,40(12):100-106,51. 本文引用 [1]

[18]	李旭,刘鲁川,张冰倩.认知负荷视角下社交媒体用户倦怠及消极使用行为研究——以微信为例[J].图书馆论坛,2018,38(11):94-106. 本文引用 [1]

[19]	张敏,孟蝶,张艳.S-O-R分析框架下的强关系社交媒体用户中辍行为的形成机理——一项基于扎根理论的探索性研究[J].情报理论与实践,2019,42(7):80-85,112. 本文引用 [1]

[20]	郭佳,曹芬芳.倦怠视角下社交媒体用户不持续使用意愿研究[J].情报科学,2018,36(9):77-81. 本文引用 [1]

[21]	李宏,李微.社交媒体倦怠研究述评与展望[J].情报科学,2017,35(9):172-176. 本文引用 [1]

[22]	KARR-WISNIEWSKI P, LU Y. When more is too much: operationalizing technology overload and exploring its impact on knowledge worker productivity[J]. Computers in human behavior, 2010, 26(5):1061-1072. 本文引用 [5]

[23]	SAEGERT S. CROWDING: cognitive overload and behavioral constraint[J]. Environmental design research, 1973, 2: 254-260. 本文引用 [1]

[24]	LEE A R, SON S M, KIM K K. Information and communication technology overload and social networking service fatigue: A stress perspective[J]. Computers in human behavior, 2016, 55: 51-61. 本文引用 [5]

[25]	ZHANG S, ZHAO L, LU Y, et al. Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services[J]. Information & management, 2016, 53(7): 904-914. 本文引用 [3]

[26]	SHOKOUHYAR S, SIADAT S H, RAZAVI M K. How social influence and personality affect users’ social network fatigue and discontinuance behavior[J]. Aslib journal of information management, 2018, 70(4): 344-366. 本文引用 [2]

[27]	JACKON T W, FARZANEH P. Theory-based model of factors affecting information overload[J]. International journal of information management, 2012, 32(6): 523-532. 本文引用 [1]

[28]	CHAOUALI W. Once a user, always a user: Enablers and inhibitors of continuance intention of mobile social networking sites[J]. Telematics and informatics, 2016, 33(4): 1022-1033. 本文引用 [3]

[29]	GAO W, LIU Z, GUO Q, et al. The dark side of ubiquitous connectivity in smartphone-based SNS: an integrated model from information perspective[J]. Computers in human behavior, 2018, 84: 185-193. 本文引用 [1]

[30]	CAO X, SUN J. Exploring the effect of overload on the discontinuous intention of social media users: an SOR perspective[J]. Computers in human behavior, 2018, 81: 10-18. 本文引用 [1]

[31]	YU L, CAO X, LIU Z, et al. Excessive social media use at work: exploring the effects of social media overload on job performance[J]. Information technology & people, 2018, 31(6): 1091-1112. 本文引用 [1]

[32]	MAIER C, LAUMER S, ECKHARDT A, et al. Giving too much social support: social overload on social networking sites[J]. European journal of information systems, 2015, 24(5): 447-464. 本文引用 [4]

[33]	THOMPSON D V, HAMILTON R W, RUST R T. Feature fatigue: when product capabilities become too much of a good thing[J]. Journal of marketing research, 2005, 42(4): 431-442. 本文引用 [2]

[34]	NAWAZ M A, SHAH Z, NAWAZ A, et al. Overload and exhaustion: classifying SNS discontinuance intentions[J]. Cogent psychology, 2018, 5(1): 1515584. 本文引用 [1]

[35]	LUQMAN A, MASOOD A, Ali A. An SDT and TPB-based integrated approach to explore the role of autonomous and controlled motivations in “SNS discontinuance intention”[J]. Computers in human behavior, 2018, 85: 298-307.

[36]	AHARONY N. Why do students use What’s App?–an exploratory study[J]. Aslib journal of information management, 2015, 67(2): 136-158.

[37]	DING Y. Modelling continued use of information systems from a forward-looking perspective: antecedents and consequences of hope and anticipated regret[J]. Information &management, 2018, 55(4): 461-471.

[38]	XIAO X, WANG T. The implications of social influence theory on continuance intention for social networking among Chinese university students[J]. Journal of organizational and end user computing (JOEUC), 2016, 28(4): 55-72. 本文引用 [1]

[39]	TIFFERET S. Gender differences in privacy tendencies on social network sites: ameta-analysis[J]. Computers in human behavior, 2019,93:1-12.

[40]	MALIK A, HIEKKANEN K, NIEMINEN M. Privacy and trust in Facebook photo sharing: age and gender differences [J]. Program, 2016, 50(4): 462-480.

[41]	SHAO Z, PAN Z. Building Guanxi network in the mobile social platform: asocial capital perspective[J]. International journal of information management, 2019, 44: 109-120. 本文引用 [1]

[42]	MOUAKKET S. Information self-disclosure on mobile instant messaging applications: uses and gratifications perspective[J]. Journal of enterprise information management, 2019, 32(1): 98-117. 本文引用 [1]

[43]	ÅHSBERG E. Dimensions of fatigue in different working populations[J]. Scandinavian journal of psychology, 2000, 41(3): 231-241. 本文引用 [1]

[44]	CHIN W W. The partial least squares approach to structural equation modeling[J]. Modern methods for business research, 1998, 295(2): 295-336. 本文引用 [2]

[45]	RICHARD P. BAGOZZI, YOUJAE YI. On the evaluation of structural equation models[J]. Journal of the academy of marketing science, 1988, 16(1):74-94. 本文引用 [1]

[46]	FORNELL C, LARCKER D F. Structural equation models with unobservable variables and measurement error: algebra and statistics [J]. Journal of marketing research, 1981, 18(1):39-50. 本文引用 [1]

[47]	WANG M, LI D. An empirical investigation of the continuance intention using the bullet curtain: synchronicity vs information overload[J]. Chinese management studies, 2019, 13(1): 235-254. 本文引用 [1]

[48]	PARK J, JUNG Y, CHO W. The role of sense of presence and irritation in the context of mobile social network sites[J]. ACM SIGMIS Database: the database for advances in information systems, 2018, 49(1): 53-66. 本文引用 [1]

[49]	LO J. Exploring the buffer effect of receiving social support on lonely and emotionally unstable social networking users[J]. Computers in human behavior, 2019, 90: 103-116. 本文引用 [1]

[50]	ZHAN L, SUN Y, WANG N, et al. Understanding the influence of social media on people’s life satisfaction through two competing explanatory mechanisms[J]. Aslib journal of information management, 2016, 68(3): 347-361. 本文引用 [1]

[51]	ZOONEN W V, VERHOEVEN J W M, Vliegenthart R . Social media’s dark side: inducing boundary conflicts[J]. Journal of managerial psychology, 2016, 31(8): 1297-1311. 本文引用 [1]