The Dependent Variable in Social Media Use

What is the dependent variable in social media use? From a research perspective, this is a pertinent question to help explain and understand the behaviors that underpin the widespread adoption and use of social media throughout society. From a practical perspective, the question is relevant for social media technology providers, for businesses that use social media, and community organizations that turn towards social media to reach out to their constituents. We propose the construct ‘sense of community’ as the dependent variable, which is reflected in four sub-constructs related to the behaviors of social media users. These behaviors are information seeking, hedonic activities, sustaining of strong ties and extending weak ties. Empirical evidence for these constructs comes from a survey of social media use by 18-25 year-olds in Indonesia, a country with exceptionally high utilization of social media. We outline practical implications of the findings and areas for further theoretical development.

[1]  Katherine M. White,et al.  The Theory of Planned Behavior Applied to Young People's Use of Social Networking Web Sites , 2009, Cyberpsychology Behav. Soc. Netw..

[2]  Bruno S. Silvestre,et al.  Social Media? Get Serious! Understanding the Functional Building Blocks of Social Media , 2011 .

[3]  V. Rao,et al.  Community Based (and Driven) Development: A Critical Review , 2004 .

[4]  Daniel R. Fesenmaier,et al.  Assessing Motivation of Contribution in Online Communities: An Empirical Investigation of an Online Travel Community , 1998, Electron. Mark..

[5]  Ron Lennon,et al.  Participating in the Conversation: Exploring Usage of Social Media Networking Sites , 2011 .

[6]  Detmar W. Straub,et al.  A Practical Guide To Factorial Validity Using PLS-Graph: Tutorial And Annotated Example , 2005, Commun. Assoc. Inf. Syst..

[7]  Michael Thomas,et al.  Identity in Online Communities: Social Networking Sites and Language Learning , 2009 .

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

[9]  J. Hagel,et al.  Net gain: Expanding markets through virtual communities , 1999 .

[10]  Gerardo del Cerro Santamaría The Network Society: A Cross-Cultural Perspective , 2007 .

[11]  D. D. Vaus,et al.  Surveys in Social Research , 1991 .

[12]  Namkee Park,et al.  Effects of self-disclosure on relational intimacy in Facebook , 2011, Comput. Hum. Behav..

[13]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[14]  M.,et al.  Sense of community: A definition and theory , 1986 .

[15]  Eric Gilbert,et al.  Predicting tie strength with social media , 2009, CHI.

[16]  Ben Shneiderman,et al.  Book Reviews : Online Communities: A Case Study of the Office of the Future , 1984 .

[17]  C. Schriesheim Causal Analysis: Assumptions, Models, and Data , 1982 .

[18]  Robert E. Kraut,et al.  Internet paradox. A social technology that reduces social involvement and psychological well-being? , 1998, The American psychologist.

[19]  Emma L. Pelling,et al.  The theory of planned behaviour applied to young people's use of social networking websites , 2009 .

[20]  Larry Hatcher,et al.  A Step-by-Step Approach to Using the SAS System for Factor Analysis and Structural Equation Modeling , 1994 .

[21]  Gerald C. Kane,et al.  Community relations 2.0. , 2009, Harvard business review.

[22]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[23]  Samer Faraj,et al.  Why Should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of Practice , 2005, MIS Q..

[24]  Tao Hu,et al.  Nonadopters of Online Social Network Services: Is It Easy to Have Fun Yet? , 2011, Commun. Assoc. Inf. Syst..

[25]  Graham Day,et al.  Community and Everyday Life , 2006 .

[26]  Andreas Schulze-Kopp,et al.  Enterprise 2.0 , 2013 .

[27]  Blake Ives,et al.  Harnessing the Power of the Crowds with Corporate Social Networking Tools: How IBM Does It , 2009, MIS Q. Executive.

[28]  Mikolaj Jan Piskorski,et al.  Mapping the social internet , 2010 .

[29]  Ajai S. Gaur,et al.  Statistical Methods for Practice and Research: A Guide to Data Analysis Using SPSS , 2006 .

[30]  Danah Boyd,et al.  Social Network Sites: Definition, History, and Scholarship , 2007, J. Comput. Mediat. Commun..

[31]  M. Castells Communication Power: Mass Communication, Mass Self-Communication and Power Relationships in the Network Society , 2009, Media and Society.

[32]  Kevin Wise,et al.  Emotional Responses During Social Information Seeking on Facebook , 2010, Cyberpsychology Behav. Soc. Netw..

[33]  B. Shneiderman,et al.  The Reader-to-Leader Framework: Motivating Technology-Mediated Social Participation , 2009 .

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

[35]  S. Utz Social information processing in MUDs: The development of friendships in virtual worlds. , 2000 .

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

[37]  Santa Clara,et al.  Research Issues in Social Computing * , 2007 .

[38]  David C. Yen,et al.  A theoretical acceptance model for computer-based communication media: Nine field studies , 2012, Comput. Hum. Behav..

[39]  M. McLure Wasko,et al.  "It is what one does": why people participate and help others in electronic communities of practice , 2000, J. Strateg. Inf. Syst..

[40]  Cliff Lampe,et al.  Connection strategies: Social capital implications of Facebook-enabled communication practices , 2011, New Media Soc..

[41]  Barry Wellman,et al.  Community: from neighborhood to network , 2005, CACM.

[42]  Mary J. Culnan,et al.  How Large U.S. Companies Can Use Twitter and Other Social Media to Gain Business Value , 2010, MIS Q. Executive.

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

[44]  Sang-Won Lee,et al.  On social Web sites , 2010, Inf. Syst..

[45]  Ghazala Mansuri,et al.  Evaluating Community-Based and Community-Driven Development : A Critical Review of the Evidence , 2003 .

[46]  L. Sproull,et al.  Atheism, sex, and databases: the net as a social technology , 1995 .

[47]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[48]  Starr Roxanne Hiltz,et al.  Asynchronous learning networks as a virtual classroom , 1997, CACM.

[49]  A. Kaplan,et al.  Users of the world, unite! The challenges and opportunities of Social Media , 2010 .

[50]  Peter B. Seddon,et al.  Towards the improved treatment of generalization of knowledge claims in IS research: drawing general conclusions from samples , 2012, Eur. J. Inf. Syst..

[51]  Valerie Barker,et al.  Older Adolescents' Motivations for Social Network Site Use: The Influence of Gender, Group Identity, and Collective Self-Esteem , 2009, Cyberpsychology Behav. Soc. Netw..

[52]  Caroline Haythornthwaite,et al.  Social networks and Internet connectivity effects , 2005 .

[53]  B. Wellman,et al.  Imagining Twitter as an Imagined Community , 2011 .

[54]  Niall Cook,et al.  Enterprise 2.0 , 2008 .

[55]  Matthew K. O. Lee,et al.  Understanding Twitter Usage: What Drive People Continue to Tweet , 2010, PACIS.

[56]  Nathan S. Hartman,et al.  Method Variance and Marker Variables: A Review and Comprehensive CFA Marker Technique , 2010 .

[57]  J. P. Peter Construct Validity: A Review of Basic Issues and Marketing Practices , 1981 .

[58]  Qing Hu,et al.  Assimilation of Enterprise Systems: The Effect of Institutional Pressures and the Mediating Role of Top Management , 2007, MIS Q..

[59]  Wynne W. Chin The partial least squares approach for structural equation modeling. , 1998 .

[60]  Marko Čupić,et al.  Online communities – Designing Usability, Supporting Sociability , 2003 .

[61]  Helana Scheepers,et al.  Understanding the Intrinsic Motivations of User Acceptance of Hedonic Information Systems: Towards a Unified Research Model , 2012, Commun. Assoc. Inf. Syst..

[62]  C. Fornell A Second generation of multivariate analysis : classification of methods and implications for marketing research , 1985 .

[63]  Howard Rheingold Virtual communities - exchanging ideas through computer bulletin boards , 2008 .