The Influence of Personal and Social-Interactive Engagement in Social TV Web Sites

Traditional retail and online brands seek new ways to build a platform to enable customers to connect with one another and encourage consumer engagement. The purpose of the present work is to understand how social media is transforming consumer engagement and redefining commercial marketing strategies using video on the Web, mobile devices, and traditional TV. We develop and validate a conceptual model of how experiential personal engagement and social-interactive engagement influence active and passive behavior in the emerging form of television that supports and integrates social interaction. The paper describes how personal engagement with the content and social-interactive engagement (resulting from the perceived sense of community, intrinsic enjoyment, and participation experience) differentially influence both active and passive behavior. We test hypotheses using structural equation modeling with survey data from a sample of 814 U.S. and European social TV users. Invariance analyses show the different effect of gender and level of interaction provided (social features) by the social TV Web site. Implications for contextual advertising and social commerce are discussed.

[1]  Barbara M. Byrne,et al.  Structural equation modeling with AMOS , 2010 .

[2]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[3]  Rajneesh Suri,et al.  Impact of Gender Differences on the Evaluation of Promotional Emails , 2004, Journal of Advertising Research.

[4]  Elizabeth C. Hirschman,et al.  Expanding the Ontology and Methodology of Research on the Consumption Experience , 1986 .

[5]  Barbara M. Byrne,et al.  Structural equation modeling with EQS : basic concepts, applications, and programming , 2000 .

[6]  A. Tamhane,et al.  The Effects of Media Context Experiences On Advertising Effectiveness , 2007 .

[7]  Thompson S. H. Teo,et al.  Users and uses of the internet: The case of Singapore , 1997 .

[8]  Gordon W. Cheung,et al.  Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance , 2002 .

[9]  Cristel Antonia Russell,et al.  The Consumption of Television Programming: Development and Validation of the Connectedness Scale , 2004 .

[10]  M. R. Levy,et al.  AUDIENCE ACTIVITY AND GRATIFICATIONS , 1984 .

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

[12]  R. Gonzalez.  Applied Multivariate Statistics for the Social Sciences , 2003 .

[13]  G. Zaltman,et al.  Relationships between Providers and Users of Market Research: The Dynamics of Trust within and between Organizations , 1992 .

[14]  Eric B. Weiser,et al.  Gender Differences in Internet Use Patterns and Internet Application Preferences: A Two-Sample Comparison , 2000, Cyberpsychology Behav. Soc. Netw..

[15]  Lorne Olfman,et al.  The Influence of On-Line Brand Community Characteristics on Community Commitment and Brand Loyalty , 2008, Int. J. Electron. Commer..

[16]  J. Brockner,et al.  Value from hedonic experience and engagement. , 2006, Psychological review.

[17]  J. Jacoby,et al.  Consumer Behavior , 2024 .

[18]  Xianggui Qu,et al.  Multivariate Data Analysis , 2007, Technometrics.

[19]  Brenda Laurel,et al.  Computers as theatre , 1991 .

[20]  Donna L. Hoffman,et al.  Measuring the Customer Experience in Online Environments: A Structural Modeling Approach , 2000 .

[21]  D. McQuail.  Mass communication theory: An introduction, 2nd ed. , 1987 .

[22]  Jennings Bryant,et al.  Children's Understanding of Television: Research on Attention and Comprehension , 1983 .

[23]  Kelly S. Ervin,et al.  Gender and the Internet: Women Communicating and Men Searching , 2001 .

[24]  S. O'Donohoe,et al.  Groundswell: Winning in a World Transformed by Social Technologies , 2008 .

[25]  R. Bagozzi,et al.  A Social Influence Model of Consumer Participation in Network- and Small-Group-Based Virtual Communities , 2004 .

[26]  Natalie Klym,et al.  MIT CFP — VCDWG Working Papers : Innovation at the Edge : Social TV and Beyond , 2008 .

[27]  Carlos Flavián,et al.  Antecedents and Consequences of Consumer Participation in On-Line Communities: The Case of the Travel Sector , 2010, Int. J. Electron. Commer..

[28]  Qing Li,et al.  Computer-Mediated Communication: A Meta-Analysis of Male and Female Attitudes and Behaviors , 2006 .

[29]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[30]  E. Higgins,et al.  Value From Regulatory Fit , 2005 .

[31]  Joon Koh,et al.  The Influence of Online Brand Community Characteristics on Community Commitment and Brand Loyalty , 2007, 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07).

[32]  J. Stevens,et al.  Applied multivariate statistics for the social sciences, 4th ed. , 2002 .

[33]  Elaine Toms,et al.  What is user engagement? A conceptual framework for defining user engagement with technology , 2008, J. Assoc. Inf. Sci. Technol..

[34]  D. McQuail.  Mass Communication Theory: An Introduction , 1983 .

[35]  K. G. J8reskoC,et al.  Simultaneous Factor Analysis in Several Populations , 2007 .

[36]  Bobby J. Calder,et al.  Qualitative Media Measures: Newspaper Experiences , 2004 .

[37]  J. Blumler.  The Role of Theory in Uses and Gratifications Studies , 1979 .

[38]  Norma S. Said,et al.  An engaging multimedia design model , 2004, IDC '04.

[39]  Sheila Hsuan-Yu Hsu,et al.  Good Soldiers on the Web: Understanding the Drivers of Participation in Online Communities of Consumption , 2011, Int. J. Electron. Commer..

[40]  E. Malthouse,et al.  An Experimental Study of the Relationship between Online Engagement and Advertising Effectiveness , 2009 .