Computer-Mediated Social Ties as Predictors of SNS Usage Continuance

The present article is a multi-method work in progress about the post-adoption phase of information systems, and more specifically it investigates the usage continuance of Social Networking Sites (SNS). We use the theoretical framework of Gift Theory applied within the context of SNS. We define the concept of computer-mediated social tie (CMST). In our work we use both qualitative and quantitative data and methods. From our qualitative data we found that CMST explains SNS usage continuance. Using these qualitative data we developed scales for this new construct. We are currently collecting quantitative data in order to verify our qualitative findings. We expect results to confirm the linkage between CMST and usage continuance.

[1]  François-Xavier de Vaujany,et al.  Commerce électronique et co-création de valeur : n’oubliez pas de payer ce que vous donnez ! , 2011 .

[2]  Sung S. Kim,et al.  Out of Dedication or Constraint? A Dual Model of Post-Adoption Phenomena and its Empirical Test in the Context of Online Services , 2009, MIS Q..

[3]  Alya Mlaiki,et al.  Shy People and Facebook Continuance of Usage: Does Gender Matter? , 2010, AMCIS.

[4]  Anol Bhattacherjee,et al.  Elucidating Individual Intention to Use Interactive Information Technologies: The Role of Network Externalities , 2008, Int. J. Electron. Commer..

[5]  Nancy K. Lankton,et al.  What does it mean to trust facebook?: examining technology and interpersonal trust beliefs , 2011, DATB.

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

[7]  Moez Limayem,et al.  The Role of Habit in Information Systems Continuance: Examining the Evolving Relationship Between Intention and Usage , 2005, ICIS.

[8]  Naresh K. Malhotra,et al.  A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena , 2005, Manag. Sci..

[9]  Evan W. Duggan,et al.  Examining SNS Adoption through Motivational Lens , 2011, AMCIS.

[10]  Sangmi Chai,et al.  A socio-technical approach to knowledge contribution behavior: An empirical investigation of social networking sites users , 2012, Int. J. Inf. Manag..

[11]  Cheryl Burke Jarvis,et al.  A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research , 2003 .

[12]  Chris Arney,et al.  Networks, Crowds, and Markets: Reasoning about a Highly Connected World (Easley, D. and Kleinberg, J.; 2010) [Book Review] , 2013, IEEE Technology and Society Magazine.

[13]  Adamantios Diamantopoulos,et al.  Advancing formative measurement models , 2008 .

[14]  Caroline Haythornthwaite,et al.  Strong, Weak, and Latent Ties and the Impact of New Media , 2002, Inf. Soc..

[15]  Y L ThongJames,et al.  The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance , 2006 .

[16]  Tor J. Larsen,et al.  The role of task-technology fit as users' motivation to continue information system use , 2009, Comput. Hum. Behav..

[17]  Hee-Woong Kim,et al.  A balanced thinking-feelings model of information systems continuance , 2007, Int. J. Hum. Comput. Stud..

[18]  Mark S. Granovetter The Strength of Weak Ties , 1973, American Journal of Sociology.

[19]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[20]  Ana Ortiz de Guinea,et al.  Why break the habit of a lifetime? rethinking the roles of intention, habit, and emotion in continuing information technology use , 2009 .

[21]  Stuart J. Barnes,et al.  Continuance usage intention in microblogging services: The case of twitter , 2009, ECIS.

[22]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[23]  Ohbyung Kwon,et al.  An empirical study of the factors affecting social network service use , 2010, Comput. Hum. Behav..

[24]  A. Strauss,et al.  The Discovery of Grounded Theory , 1967 .

[25]  M. Lynne Markus,et al.  Toward a “Critical Mass” Theory of Interactive Media , 1987 .

[26]  En-yi Chou,et al.  Intention to Adopt Knowledge through Virtual Communities: Posters vs. Lurkers , 2012, Online Inf. Rev..

[27]  C. Teddlie,et al.  SAGE Handbook of Mixed Methods in Social & Behavioral Research , 2010 .

[28]  Robert W. Zmud,et al.  Understanding Post-Adoptive Usage Behaviors: A Two-Dimensional View , 2006 .

[29]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[30]  Deb Sledgianowski,et al.  Social Network Sites: Antecedents of User Adoption and Usage , 2008, AMCIS.

[31]  C. Brodsky The Discovery of Grounded Theory: Strategies for Qualitative Research , 1968 .

[32]  Detmar W. Straub,et al.  Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs , 1999, MIS Q..

[33]  A. Strauss,et al.  The discovery of grounded theory: strategies for qualitative research aldine de gruyter , 1968 .

[34]  E. David,et al.  Networks, Crowds, and Markets: Reasoning about a Highly Connected World , 2010 .

[35]  Nancy K. Lankton,et al.  Do People Trust Facebook as a Technology or as a "Person"? Distinguishing Technology Trust from Interpersonal Trust , 2008, AMCIS.

[36]  Antonio A. Casilli,et al.  Les liaisons numériques : Vers une nouvelle sociabilité ? , 2010 .

[37]  Katherine M. White,et al.  Predicting adolescents' use of social networking sites from an extended theory of planned behaviour perspective , 2010, Comput. Hum. Behav..

[38]  Alexander Serenko,et al.  Developing a (Bad) Habit: Antecedents and Adverse Consequences of Social Networking Website Use Habit , 2011, AMCIS.

[39]  Robert W. Zmud,et al.  A Comprehensive Conceptualization of Post-Adoptive Behaviors Associated with Information Technology Enabled Work Systems , 2005, MIS Q..

[40]  Bin Gu,et al.  Informational Cascades and Software Adoption on the Internet: An Empirical Investigation , 2008, MIS Q..

[41]  Kar Yan Tam,et al.  The Effects of Post-Adoption Beliefs on the Expectation-Confirmation Model for Information Technology Continuance , 2006, Int. J. Hum. Comput. Stud..

[42]  Peter A. Todd,et al.  Assessing IT usage: the role of prior experience , 1995 .

[43]  Moez Limayem,et al.  How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance , 2007, MIS Q..

[44]  M. Markus Electronic Mail as the Medium of Managerial Choice , 1994 .

[45]  Peter A. Rosen,et al.  Hedonic Information Systems: Acceptance of Social Networking Websites , 2006, AMCIS.

[46]  Jason Bennett Thatcher,et al.  Tying Context to Post-Adoption Behavior with Information Technology: A Conceptual and Operational Definition of Mindfulness , 2007, AMCIS.