移动社交媒体倦怠行为影响因素研究——基于微信调查

doi:10.3969/j.issn.2095-5197(2019)06-0001-14

摘要/Abstract

摘要： 探索信息用户社交媒体倦怠行为的影响因素，可为信息服务提供商、社交媒体运营商提供相应的理论与实践指导，进而促进信息用户之间的信息共享。首先，以技术接受模型为原型，结合社交媒体倦怠现有模型及当下信息过载、社交过载的网络环境，同时引入新变量“印象管理”，构建了社交媒体倦怠新模型；然后，通过调查问卷搜集相关数据，并对该模型进行实证检验与修正；最后，基于所得的假设验证结果修正原模型。研究发现：感知易用性、自我效能、信息过载、社交过载均对社交媒体倦怠行为产生显著的正向影响；感知有用性、隐私忧虑和印象管理则对社交媒体倦怠行为无显著影响；作为调节变量的年龄对其他变量无明显的调节作用。

关键词: 信息行为；社交媒体；信息倦怠；微信；实证研究

Abstract: Exploring the influencing factors of social media burnout behavior of information users can provide corresponding theoretical and practical guidance for information service providers and social media operators, and then promote information sharing among information users.Firstly, a new model of social media burnout is constructed based on the technology acceptance model, the existing model of social media burnout and the current network environment of information overload and social overload, and the introduction of a new variable“ impression management”.Then, the relevant data are collected through questionnaires and the model is tested and revised empirically.Finally, the original model is modified based on the results of hypothesis verification.The study found that perceived ease of use, self-efficacy, information overload, and social overload all had a significant positive effect on social media burnout behavior; perceived usefulness, privacy concerns, and impression management had no significant effect on social media burnout behavior; the age as a regulating variable had no obvious moderating effect on other variables.

Key words: information behavior; social media burnout; WeChat; empirical research

中图分类号:

G250

郭蕾，余波，李洋，温亮明，张妍妍. 移动社交媒体倦怠行为影响因素研究——基于微信调查[J]. 图书馆研究, 2019, 49(6): 1-14.

YU Bo2，LI Yang3，WEN Liang-ming4,5，ZHANG Yan-yan6. Research on the Influencing Factors of Mobile Social Media Burnout Behavior: Based on WeChat[J]. Library Research, 2019, 49(6): 1-14.

参考文献

[1] 中国互联网信息中心(CNNIC).第43次《中国互联网络发展状况统计报告》[EB/OL].[2019-03-23].http://cnnic.cn/gywm/xwzx/rdxw/20172017_7056/201902/W020190228474508417254.pdf.[2] 腾讯网.2018微信数据报告[EB/OL].[2019-03-23].https://support.weixin.qq.com/cgi-bin/mmsupport-bin/getopendays.[3] 搜狐新闻.调查称人们正减少使用社交媒体的时间[EB/OL].[2019-3-23].http://news.sohu.com/20160610/n453783958.shtml.[4] 王沛楠.社交媒体让你疲倦?[J].社会政策研究,2017(4):146-148.[5] 叶凤云,邵艳丽,张弘.基于行为过程的移动社交媒体用户信息质量评价实证研究[J].情报理论与实践,2016,39(4):71-77.[6] 温耀全.基于社交媒体的95后用户信息行为调研分析[D].保定:河北大学,2016.[7] Chung N, Koo C, Park S, et al.Why people share information in social network sites? Integrating with uses and gratification and social identity theories[C].Asian Conference on Intelligent Information and Database Systems, 2012:175-184.[8] Salehan M, Kim D J, Koo C.A study of the effect of social trust, trust in social networking services, and sharing attitude,on two dimensions of personal information sharing behavior[J].The Journal of Supercomputing, 2018, 74(8):3596-3619.[9] Lim M S, Choi S B.Stress caused by social media network applications and user responses [J].Multimedia Tools and Applications, 2017,76(17):17685-17698.[10] Karrwisniewski 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.[11] Bernstein E.How Facebook ruins friendships[EB/OL].[2019-04-12].http://www.amietus.ne ts.Pl/techang/Wp-content/uploads/2013/08/Homework-008-How-facebook-ruins-our-friendships.pdf.[12] Lee C C, Chou S T H, Huang Y R.A study on personality traits and social media fatigue- example of Facebook users[J].Lecture Notes on Information Theory, 2014,2(3):249-253.[13] 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.[14] 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.[15] 谢名家.社交媒体倦怠对知识分享成效影响之研究[D].台北: 远东科技大学, 2015.[16] 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.[17] 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.[18] 彭丽徽,李贺,张艳丰,等.用户隐私安全对移动社交媒体倦怠行为的影响因素研究——基于隐私计算理论的CAC研究范式[J].情报科学,2018,36(9):96-102.[19] 李慧.社交媒体倦怠的影响因素研究[D].厦门:厦门大学,2018.[20] 牛静,常明芝.社交媒体使用中的社会交往压力源与不持续使用意向研究[J].新闻与传播评论,2018,71(6):5-19.[21] 赵启南.关系性压力下青年使用者社交媒体倦怠影响及其行为结果[J].新闻与传播研究,2019,26(6):59-75,127.[22] 刘鲁川,李旭,张冰倩.社交媒体用户的负面情绪与消极使用行为研究评述[J].情报杂志,2018,37(1):105-113,121.[23] 张庆芳.社交媒体惓怠的量表编制[D].厦门:厦门大学,2017.[24] 成吉.社交媒体倦怠及其成因分析[D].南京:南京大学,2018.[25] 杨喜喜.社交媒体使用强度与社交媒体倦怠:上行社会比较的中介作用[D].重庆:重庆大学,2018.[26] 张程洁.新媒体环境下用户社交媒体倦怠情绪与消极行为研究[J].视听,2019(4):160-161.[27] 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.[28] 郭佳,曹芬芳.图书馆微信公众号不持续使用意愿研究[J].数字图书馆论坛,2018(5):25-31.[29] 万君,王慧.社交媒体用户倦怠及消极使用行为研究[J].情报探索,2019(5):1-8.[30] 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.[31] 徐春雨.感知过载对社交媒体倦怠的影响机制研究[D].杭州:浙江工商大学,2018.[32] 黄莹.语境消解、隐私边界与“不联网的权利”:对朋友圈“流失的使用者”的质性研究[J].新闻界,2018(4):72-79.[33] 温亮明,余波,张妍妍等.社交媒体用户信息共享影响因素模型构建[J].情报科学,2017,35(4):15-21.[34] 黄丽佳,袁勤俭.印象管理理论及其在信息系统研究中的应用与展望[J].现代情报,2018,38(11):172-177.[35] 周文霞,郭桂萍.自我效能感:概念、理论和应用[J].中国人民大学学报,2006(1):91-97.[36] 王晰巍,茹烨,杨梦晴,等.微信用户信息共享行为影响因素模型及实证研究——基于信息生态视角的分析[J].图书情报工作,2016,60(15):6-13, 5.[37] Davis F D.Perceived usefulness, perceived ease of use, and user acceptance of informa-tion technology[J].Management Information Systems Quarterly, 1989,13(3):319-340.[38] 黄婷.社交网络服务(SNS)的用户接受影响因素研究[D].杭州:浙江大学,2010.[39] 辛文娟,赖涵,陈晓丽.大学生社交网络中印象管理的动机和策略——以微信朋友圈为例[J].情报杂志, 2016,35(3):190-194.[40] Kim J, Lee C, Elias T, et al.Factors affecting information sharing in social networking sites amongst university students:Application of the knowledge-sharing model to social networking sites[J].Online Information Review, 2015,39(3):290-309.[41] Ajzen I.Perceived behavioral control,self-efficacy,locus of control,and the theory of planned behavior1[J].Journal of Applied Social Psychology, 2002,32(4):665-683.[42] 张艳丰,李贺,彭丽徽.移动社交媒体倦怠行为的影响因素模型及实证研究[J].现代情报,2017,37(10):36-41.[43] 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.[44] Bright L F, Kleiser S, Grau S L.Too Much Facebook?An Exploratory Examination of Social Media Fatigue[J].Computers in Human Behavior, 2015,44(C):148-155.[45] 吴明隆.问卷统计分析实务——SPSS操作与应用[M].重庆:重庆大学出版社,2010:218，238-239.[46] 柯佳秀,章小童,邓小昭.新媒体环境下大学生听书行为意向影响因素研究[J].图书情报工作,2017, 61(10):101-109.[47] Lang A.The limited capacity model of mediated message processing[J].Journal of Communication, 2000,50(1):46-70.[48] 聂勇浩,罗景月.感知有用性、信任与社交网站用户的个人信息披露意愿[J].图书情报知识, 2013(5):89-97.[49] Ellison N B, Steinfield C, Lampe C, et al.The Benefits of Facebook ''Friends:'' Social Capital and College Students' Use of Online Social Network Sites[J].Journal of Computer-Mediated Communication, 2007,12(4):1143-1168.[50] Dholakia U M, Bagozzi R P, Pearo L K.A social influence model of consumer participation in network-and small-group-based virtual communities[J].International Journal of Research inMarketing, 2004,21(3):241-263.[51] Gross R, Acquisti A.Information Revelation and Privacy in Online Social Networks[C].Proceedings of the 2005 ACM work-shop on Privacy in the electronic society, New York:ACM, 2005:71-80.[52] Pearson E.Making a Good (Virtual) First Impression:The Use of Visuals in Online Impression Management and Creating Identity Performances[J].IFIP Advances in Information&Communication Technology, 2010,328:118-130.