A Theoretical Model and Empirical Investigation of Social Networking Site Users' Switching Intention

Customers’ post-adoption switching behavior among competing service providers, particularly among different online Social Network Sites (SNSs), is gaining increasing attention from both information system researchers and practitioners, as the size of user base is both a selling point and a source of revenue of SNS service providers. In this study, we draw on the uses and gratification theory to identify factors motivating an individual to switch SNSs. In addition, informed by social identity theory, we explore how individuals’ social identities on their current SNSs moderate the effects of the motivating factors on their intention to switch to a more attractive SNS. The results of our survey study reveal that the perceived relative values of a competing SNS (when compared with the user’s current SNS) positively influence his/her intention to switch to the competing SNS. However, the positive impact of perceived relative values on switching intention is mitigated by the user’s perception of his/her salient social identity on his/her current SNS. This study has significant implications for both academics and practitioners.

[1]  Deborah S. Chung,et al.  Online User Motivations and Use of Interactive Features on an Online News Site: A Uses and Gratifications Approach , 2006 .

[2]  Dwayne D. Gremler,et al.  Service value revisited: Specifying a higher-order, formative measure , 2008 .

[3]  Hans van der Heijden,et al.  User Acceptance of Hedonic Information Systems , 2004, MIS Q..

[4]  Chin-Lung Hsu,et al.  Why do people play on-line games? An extended TAM with social influences and flow experience , 2004, Inf. Manag..

[5]  Matthew K. O. Lee,et al.  Understanding the role of gender in bloggers' switching behavior , 2009, Decis. Support Syst..

[6]  Bruce E. Moon,et al.  Paradigms in migration research: exploring 'moorings' as a schema , 1995, Progress in human geography.

[7]  John Lim,et al.  Cyber Migration: An Empirical Investigation on Factors that Affect Users' Switch Intentions in Social Networking Sites , 2009 .

[8]  Robert E. Kraut,et al.  Building Member Attachment in Online Communities: Applying Theories of Group Identity and Interpersonal Bonds , 2012, MIS Q..

[9]  Ching-Fu Chen,et al.  Behavioral intentions of public transit passengers--The roles of service quality, perceived value, satisfaction and involvement , 2011 .

[10]  Binod Sundararajan,et al.  Multinational web uses and gratifications: Measuring the social impact of online community participation across national boundaries , 2006, Electron. Commer. Res..

[11]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[12]  Siu Man Lui,et al.  Impacts of information technology commoditization : selected studies from ubiquitous information services , 2005 .

[13]  Hee-Su Kim,et al.  Determinants of subscriber churn and customer loyalty in the Korean mobile telephony market , 2004 .

[14]  Gi Mun Kim,et al.  Dynamics of Portal Email Switching: Attractive Alternatives and Switching Costs , 2006, PACIS.

[15]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[16]  J. Hair Multivariate data analysis : a global perspective , 2010 .

[17]  Fred A. Mael,et al.  Social identity theory and the organization , 1989 .

[18]  Hsiu-Fen Lin,et al.  Understanding Behavioral Intention to Participate in Virtual Communities , 2006, Cyberpsychology Behav. Soc. Netw..

[19]  Cliff Lampe,et al.  The Benefits of Facebook "Friends: " Social Capital and College Students' Use of Online Social Network Sites , 2007, J. Comput. Mediat. Commun..

[20]  Matthew K. O. Lee,et al.  Understanding the Blog Service Switching in Hong Kong: An Empirical Investigation , 2008, Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008).

[21]  R. Sabatelli The Social Psychology of Groups , 2000 .

[22]  William R. Elliott,et al.  The 1985 Philadelphia Newspaper Strike: A Uses and Gratifications Study , 1987 .

[23]  I. Ajzen The theory of planned behavior , 1991 .

[24]  David Gefen,et al.  Virtual Community Attraction: Why People Hang Out Online , 2006, J. Comput. Mediat. Commun..

[25]  M. Furlong An Electronic Community for Older Adults: The SeniorNet Network. , 1989 .

[26]  P. Korgaonkar A Multivariate Analysis of Web Usage , 1999 .

[27]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..

[28]  N. Ellemers,et al.  Self‐categorisation, commitment to the group and group self‐esteem as related but distinct aspects of social identity , 1999 .

[29]  Deb Sledgianowski,et al.  Using Social Network Sites: The Effects of Playfulness, Critical Mass and Trust in a Hedonic Context , 2009, J. Comput. Inf. Syst..

[30]  R. Bagozzi,et al.  Intentional social action in virtual communities , 2002 .

[31]  Anol Bhattacherjee,et al.  Understanding Information Systems Continuance: An Expectation-Confirmation Model , 2001, MIS Q..

[32]  Ching-Chin Chern,et al.  'Migrating to a new virtual world': Exploring MMORPG switching through human migration theory , 2011, Comput. Hum. Behav..

[33]  Matthew K. O. Lee,et al.  A theoretical model of intentional social action in online social networks , 2010, Decis. Support Syst..

[34]  E. Katz,et al.  Uses and Gratifications Research , 2019, The International Encyclopedia of Journalism Studies.

[35]  Susan M. Keaveney,et al.  Customer Switching Behavior in Service Industries: An Exploratory Study , 1995 .

[36]  Viswanath Venkatesh,et al.  Creation of Favorable User Perceptions: Exploring the Role of Intrinsic Motivation , 1999, MIS Q..

[37]  Alok Gupta,et al.  An Empirical Study of Consumer Switching from Traditional to Electronic Channels: A Purchase-Decision Process Perspective , 2004, Int. J. Electron. Commer..

[38]  Susan M. Keaveney,et al.  Customer switching behavior in online services: An exploratory study of the role of selected attitudinal, behavioral, and demographic factors , 2001 .

[39]  Jung-Kuei Hsieh,et al.  Switching between social media : The role of motivation and cost , 2022 .

[40]  Anol Bhattacherjee,et al.  Extending technology usage models to interactive hedonic technologies: a theoretical model and empirical test , 2010, Inf. Syst. J..

[41]  John Lim,et al.  Cyber Migration: An Empirical Investigation on Factors that Affect Users' Switch Intentions in Social Networking Sites , 2009, 2009 42nd Hawaii International Conference on System Sciences.

[42]  Anna S. Mattila,et al.  Understanding Restaurant Switching Behavior from a Cultural Perspective , 2006 .

[43]  Wu Xiao-ling,et al.  On Listening to the Radio , 2000 .

[44]  Kerk F. Kee,et al.  Being Immersed in Social Networking Environment: Facebook Groups, Uses and Gratifications, and Social Outcomes , 2009, Cyberpsychology Behav. Soc. Netw..

[45]  R. Bagozzi,et al.  Multiple routes for social influence: The role of compliance, internalization and social identity. , 2002 .

[46]  Alan M. Rubin,et al.  Psychological Predictors of Television Viewing Motivation , 1991 .

[47]  H. Tajfel,et al.  The Social Identity Theory of Intergroup Behavior. , 2004 .