Theoretical Basis and Influence Factors of User Exodus Behavior of Social Networking Sites

  • Xu Xiaojuan ,
  • Zhao Yuxiang ,
  • Zhu Qinghua
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  • 1. School of Information Management, Anhui University, Hefei 230039;
    2. School of Economic and Management, Nanjing University of Science and Technology, Nanjing 210093;
    3. School of Information Management, Nanjing University,Nanjing 210093

Received date: 2015-12-22

  Revised date: 2016-02-06

  Online published: 2016-02-20

Abstract

[Purpose/significance] This study reviews the user exodus literature of social networking sites, and analyzes the current user behavior problems in order to improve the user behavior related theory and to improve the development of social media to provide guidance. [Method/process] We identify the current user exodus behavior of related theoretical results mainly focusing on the theme of content analysis. [Result/conclusion] This paper introduces the present situation of the social networking sites and defines the concept of user exodus. And user exodus behavior is refined based on this concept.Meanwhile, this paper explores research contents, theoretical basis and influencing factors. We need to focus on the reasons behind the loss of users and build the model of user exodus behavior in the future research.

Cite this article

Xu Xiaojuan , Zhao Yuxiang , Zhu Qinghua . Theoretical Basis and Influence Factors of User Exodus Behavior of Social Networking Sites[J]. Library and Information Service, 2016 , 60(4) : 134 -141 . DOI: 10.13266/j.issn.0252-3116.2016.04.018

References

[1] 腾讯科技.Myspace和Friendster网站流量之变[EB/OL].[2016-01-05].http://tech.qq.com/a/20130228/000156.htm.
[2] 开心网流量大跌65% 国内SNS发展引关注[EB/OL].[2016-02-05].http://news.zol.com.cn/242/2424967.html.
[3] 开心网百度指数[EB/OL].[2016-02-05].http://index.baidu.com/?tpl=trend&word=%BF%AA%D0%C4%CD%F8.
[4] 人人网谢幕:被时代抛弃or虚惊一场?[EB/OL].[2016-02-05].http://news.xinhuanet.com/zgjx/2015-02/03/c_133966417.htm.
[5] KEAVENEY S M, PARTHASARATHY M.Customer switching behavior in online services: an exploratory study of the role of selected attitudinal, behavioral, and demographic factors[J]. Academy of marketing science journal, 2001, 29(4): 374-389.
[6] ROOS I, EDVARDSSON B, GUSTAFSSON A. Customer switching patterns in competitive and noncompetitive service industries[J]. Journal of service research, 2004, 6(3): 256-271.
[7] SWANSON S R, HSU M K. Critical incidents in tourism: failure, recovery, customer switching, and word‐of‐mouth behaviors[J]. Journal of travel & tourism marketing, 2009, 26(2): 180-194.
[8] CIC.2014中国社会化媒体格局概览[EB/OL].[2015-03-11]. http://www.ciccorporate.com/index.php?option=com_content&view=article&id=1204&catid=99&Itemid=208&lang=zh.
[9] MEHRABIAN A, RRSSELL J A. An approach to environmental psychology[M].Cambridge: MIT Press,1974:176-200.
[10] 刘江, 赵宇翔, 朱庆华. 互联网环境下潜水者及其潜水动因研究综述[J]. 图书情报工作, 2012, 56(18): 65-72.
[11] PARTHASARATNY M, BHATTACHERJEE A. Understanding post-adoption behavior in the context of online services[J]. Information systems research, 1998,9(4):362-379.
[12] LIAO C, CHEN J L, YEN D C. Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service:an integrated model[J]. Computers in human behavior, 2007, 23(6): 2804-2822.
[13] 赵宇翔, 朱庆华. 感知示能性在社会化媒体后续采纳阶段的调节效应初探[J]. 情报学报, 2013, 32(10):1099-1111.
[14] KIM B. Understanding antecedents of continuance intention in social-networking services[J].Cyberpsychology, behavior, and social networking, 2011,14(4):199-205.
[15] KIM G, SHIN B, LEE H G. A study of factors that affect user intentions toward email service switching[J]. Information & management, 2006, 43(7): 884-893.
[16] ZHANG K Z K, LEE M K O, CHEUNG C M K, et al. Understanding the role of gender in bloggers' switching behavior[J]. Decision support systems, 2009,47(4): 540-546.
[17] HERZBERG F, MAUSNER B, SNYDERMAN B B.The motivation to work[M].New Brunswick:Transaction Publishers, 2011.
[18] PING A. The effects of satisfaction and structural constraints on retailer exiting, voice, loyalty, opportunism, and neglect[J]. Journal of retailing, 1993, 69(3): 320-352.
[19] RANAWEERA C, PRABHU J. The influence of satisfaction, trust and switching barriers on customer retention in a continuous purchasing setting[J]. International journal of service industry management, 2003, 14(4): 374-395.
[20] BANSAL H S, TAYLOR S F. The service provider switching model(SPSM):a model of consumer switching behavior in the services industry[J]. Journal of service research, 1999,2(2): 200-218.
[21] LEE J, LEE J, FEICK L. The impact of switching costs on the customer satisfaction-loyalty link: mobile phone service in France[J].Journal of services marketing, 2001, 15(1): 35-48.
[22] HU A W, HWANG I S. Measuring the effects of consumer switching costs on switching intention in Taiwan mobile telecommunication services[J].Journal of American academy of business, 2006, 9(1): 75-85.
[23] SHIN D H, KIM W Y. Forecasting customer switching intention in mobile service: an exploratory study of predictive factors in mobile number portability[J].Technological forecasting and social change, 2008, 75(6): 854-874.
[24] GERRARD P, CUNNINGHAM J B. Consumer switching behavior in the Asian banking market[J]. Journal of services marketing, 2004, 18(3): 215-223.
[25] AHN J H, HAN S P, LEE Y S.Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry[J].Telecommunications policy, 2006, 30(10): 552-568.
[26] LIU C T, GUO Y M, LEE C H. The effects of relationship quality and switching barriers on customer loyalty[J]. International journal of information management, 2011, 31(1): 71-79.
[27] KEAVENEY S M. Customer switching behavior in service industries: an exploratory study[J].The journal of marketing, 1995,59(2):71–82.
[28] LIANG D, MA Z, Qi L. Service quality and customer switching behavior in China's mobile phone service sector[J]. Journal of business research, 2013,66(8): 1161-1167.
[29] MIN D, WAN L. Switching factors of mobile customers in Korea[J]. Journal of service science, 2009, 1(1): 105-120.
[30] CHUANG Y F. Pull-and-suck effects in Taiwan mobile phone subscribers switching intentions[J]. Telecommunications policy, 2011, 35(2): 128-140.
[31] HSIEH J K, HSIEH Y C, CHIU H C, et al. Post-adoption switching behavior for online service substitutes: a perspective of the push-pull-mooring framework[J]. Computers in human behavior, 2012, 28(5): 1912-1920.
[32] HOU A C Y, CHEN Y C, SHANG R A, et al. The post adoption switching of social network service: a human migratory model[EB/OL].[2016-02-05].http://www.pacis-net.org/file/2012/PACIS2012-037.pdf.
[33] WU Y L, TTO Y H, LI C P, et al. User-switching behavior in social network sites: a model perspective with drill-down analysis[J]. Computers in human behavior, 2014,33: 92-103.
[34] CURRAN S R, SAGUY A C. Migration and cultural change: a role for gender and social networks?[J]. Journal of international women's studies, 2001, 2(3): 54-77.
[35] ANDERGASSEN M, BEHRINGER R, FINLAY J, et al. Weblogs in higher education-why do students (not) blog?[J].Electronic journal of e-learning,2009,7(3):203-215.
[36] ODA M. The characteristics of the use of Twitter by beginners:study of the applicability to the e-healthcare[EB/OL].[2016-02-05].http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6083834.
[37] GARCIA D, MAVRODIEV P, SCHWEITZER F. Social resilience in online communities:the autopsy of friendster[EB/OL].[2016-02-05].http://www.sg.ethz.ch/media/publication_files/OSN_Kcore.pdf.
[38] 徐孝娟, 赵宇翔, 朱庆华, 等. 社交网站中用户流失要素的理论探讨及实证分析[J]. 信息系统学报, 2014(1): 83-97.
[39] KOLLOCK P, SMITH M. Managing the virtual commons[EB/OL].[2016-02-05].http://www.connectedaction.net/wp-content/uploads/2009/05/1996-managing-the-virtual-commons.htm.
[40] NONNECKE B. Lurking in email-based discussion lists[D].London:South Bank University, 2000.
[41] PREECE J, NONNECKE B, ANDREWS D. The top five reasons for lurking: improving community experiences for everyone[J]. Computers in human behavior, 2004, 20(2): 201-223.
[42] DENNEN V P. Pedagogical lurking:student engagement in non-posting discussion behavior[J]. Computers in human behavior, 2008, 24(4): 1624-1633.
[43] NONNECKE B, PREECE J. Persistence and lurkers in discussion lists: a pilot study[EB/OL].[2016-02-05].https://www.computer.org/csdl/proceedings/hicss/2000/0493/03/04933031.pdf.
[44] NONNECKE B, PREECE J. Why lurkers lurk[EB/OL].[2016-02-05].http://www.cis.uoguelph.ca/~nonnecke/research/whylurk.pdf.
[45] TAKAHASHI M, FUJIMOTO M, YAMASAKI N. The active lurker: influence of an in-house online community on its outside environment[C] //Proceedings of the 2003 international ACM SIGGROUP conference on supporting group work.New York:ACM, 2003: 1-10.
[46] BHATTACHERJEE A, LIMAYEM M, CHEUNG C M K. User switching of information technology: a theoretical synthesis and empirical test[J]. Information & management, 2012, 49(7): 327-333.
[47] ESHGHI A, HAUGHTON D, TEEBAGY N, et al. Determinants of customer churn behavior: the case of the local telephone service[J]. Marketing management journal,2006, 16(2):179-187.
[48] 伍柳, 龚振. 消费者转换行为发生的原因及应对措施研究[J]. 商业研究, 2005(16): 148-151.
[49] KIM M K, PARK M C, JEONG D H. The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services[J].Telecommunications policy, 2004, 28(2): 145-159.
[50] YANG Z, PETERSON R T. Customer perceived value, satisfaction, and loyalty:the role of switching costs[J]. Psychology & marketing, 2004, 21(10): 799-822.
[51] DELONE W H, MCLEAN E R. Information systems success:the quest for the dependent variable[J]. Information systems research, 1992, 3(1): 60-95.
[52] BALL D, SIMES COELHO P, MACHS A. The role of communication and trust in explaining customer loyalty:an extension to the ECSI model[J]. European journal of marketing, 2004, 38(9/10): 1272-1293.
[53] SHARMA N, PATTERSON P G. Switching costs, alternative attractiveness and experience as moderators of relationship commitment in professional, consumer services[J]. International journal of service industry management, 2000, 11(5): 470-490.
[54] MAICAS J P, POLO Y, SESE F J. The role of (personal) network effects and switching costs in determining mobile users' choice[J]. Journal of information technology, 2009, 24(2): 160-171.
[55] GEFEN D, STRAUB D W. Gender differences in the perception and use of e-mail:an extension to the technology acceptance model[J]. MIS quarterly, 1997,21(4): 389-400.
[56] VENKATESH V, DAVIS F D. A theoretical extension of the technology acceptance model:four longitudinal field studies[J]. Management science, 2000, 46(2): 186-204.
[57] AHUJA M K, THATCHER J B. Moving beyond intentions and toward the theory of trying: effects of work environment and gender on post-adoption information technology use[J]. MIS quarterly, 2005, 29(3): 427-459.
[58] VERPLANKEN B, AARTS H, KNIPPENBERG A V. Habit, information acquisition, and the process of making travel mode choices[J]. European journal of social psychology, 1997, 27(5): 539-560.
[59] LIEBERMAN J N. Playfulness:its relationship to imagination and creativity[M].New York: Academic Press,1977: 163-175.
[60] CHEA S, LUO M M. eService customer retention:the roles of negative affectivity and perceived switching costs[EB/OL].[2016-02-05].http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1571&context=amcis2005.
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