Continuance usage of corporate SNS pages: A communicative ecology perspective

We develop a research model to explain corporate SNS page continuance.We adopt a communicative ecology perspective as an overarching theory.The quality of social interaction in corporate SNS page plays a crucial role for its continuance usage.Perceived network size moderates the impact of social interaction quality on perceived enjoyment. This study develops a research model that explains the continuance of corporate social network service (SNS) pages. In order to find antecedents that influence end users' continuance intention, this study adopts communicative ecology theory from media and communication studies. Results indicate that the quality of social interaction is the most salient feature, as indicated by the fact that it has the highest impact on perceived usefulness and enjoyment. Moreover, content quality also increases both perceived usefulness and enjoyment, while SNS platform quality and service quality increase perceived usefulness only. In addition, perceived network size moderates the impact of social interaction quality on perceived enjoyment.

[1]  Heeseok Lee,et al.  Understanding the role of an IT artifact in online service continuance: An extended perspective of user satisfaction , 2010, Comput. Hum. Behav..

[2]  Sally J. McMillan.  Exploring Models of Interactivity from Multiple Research Traditions: Users, Documents, and Systems , 2002 .

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

[4]  Yong-Ki Lee,et al.  The intention to use computerized reservation systems: the moderating effects of organizational support and supplier incentive , 2005 .

[5]  Hsiu-Fen Lin,et al.  The role of online and offline features in sustaining virtual communities: an empirical study , 2007, Internet Res..

[6]  Hsi-Peng Lu,et al.  Why people use social networking sites: An empirical study integrating network externalities and motivation theory , 2011, Comput. Hum. Behav..

[7]  Anol Bhattacherjee,et al.  An empirical analysis of the antecedents of electronic commerce service continuance , 2001, Decis. Support Syst..

[8]  Sheng Wu,et al.  Integrating perceived playfulness into expectation-confirmation model for web portal context , 2005, Inf. Manag..

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

[10]  Efthymios Constantinides,et al.  Consumer adoption of social networking sites: implications for theory and practice , 2011 .

[11]  Wenpin Tsai,et al.  Niche and Performance: The Moderating Role of Network Embeddedness , 2005 .

[12]  Wynne W. Chin,et al.  A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study , 2003, Inf. Syst. Res..

[13]  Carol A. Scott.  The Effects of Trial and Incentives on Repeat Purchase Behavior , 1976 .

[14]  Nabil Ahmed Sultan,et al.  Knowledge Management in the Age of Cloud Computing and Web 2.0: Experiencing the Power of Disruptive Innovations , 2013, IEEE Engineering Management Review.

[15]  G. Hearn,et al.  Networked Individualism of Urban Residents: Discovering the communicative ecology in inner-city apartment buildings , 2007 .

[16]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[17]  Peter B. Seddon.  A Respecification and Extension of the DeLone and McLean Model of IS Success , 1997, Inf. Syst. Res..

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

[19]  Jen-Her Wu,et al.  Empirical evaluation of the revised end user computing acceptance model , 2004, Comput. Hum. Behav..

[20]  David Gefen,et al.  If you spoke as she does, sir, instead of the way you do: a sociolinguistics perspective of gender differences in virtual communities , 2005, DATB.

[21]  Douglas R. Vogel,et al.  Individual motivations and demographic differences in social virtual world uses: An exploratory investigation in Second Life , 2011, Int. J. Inf. Manag..

[22]  Jaz Hee-jeong Choi.  Searching the self in Seoul: Trans-youth and urban social networking in Korea , 2008 .

[23]  D. Slater,et al.  Ethnographic Action Research: A User’s Handbook , 2003 .

[24]  Ingoo Han,et al.  The impact of Web quality and playfulness on user acceptance of online retailing , 2007, Inf. Manag..

[25]  Anol Bhattacherjee,et al.  Understanding Post-Adoption Behavior in the Context of Online Services , 1998, Inf. Syst. Res..

[26]  Dongwon Lim,et al.  Compensation paradox: the influence of monetary rewards on user behaviour , 2015, Behav. Inf. Technol..

[27]  JoAnne Yates,et al.  Virtual organizing: using threads to coordinate distributed work , 2003 .

[28]  Margaret Hamilton,et al.  Mobile computing, visual diaries, learning and communication: changes to the communicative ecology of design students through mobile computing , 2006 .

[29]  Shuzo Abe,et al.  Is two-tailed testing for directional research hypotheses tests legitimate? , 2013 .

[30]  D. Watts,et al.  Small Worlds: The Dynamics of Networks between Order and Randomness , 2001 .

[31]  Michael W. Lowenstein,et al.  Customer.Community: Unleashing the Power of Your Customer Base , 2002 .

[32]  S. Kiesler,et al.  Community Effort in Online Groups: Who Does the Work and Why? , 2007 .

[33]  Julita Vassileva,et al.  Motivating participation in social computing applications: a user modeling perspective , 2012, User Modeling and User-Adapted Interaction.

[34]  Elena Karahanna,et al.  Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..

[35]  Marios Koufaris,et al.  Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior , 2002, Inf. Syst. Res..

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

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

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

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

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

[41]  Rolph E. Anderson,et al.  Nederlandse samenvatting en bewerking van 'Multivariate data analysis, 4th Edition, 1995' , 1998 .

[42]  Barbara Wixom,et al.  An Empirical Investigation of the Factors Affecting Data Warehousing Success , 2001, MIS Q..

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

[44]  Berend Wierenga,et al.  The Dependent Variable in Research Into the Effects of Creativity Support Systems: Quality and Quantity of Ideas , 1998, MIS Q..

[45]  C. Shapiro,et al.  Network Externalities, Competition, and Compatibility , 1985 .

[46]  H. Harman.  Modern factor analysis , 1961 .

[47]  Matthew K. O. Lee,et al.  How to keep members using the information in a computer-supported social network , 2009, Comput. Hum. Behav..

[48]  David L. Altheide.  An Ecology of Communication , 1995 .

[49]  D. DavisFred,et al.  User Acceptance of Computer Technology , 1989 .

[50]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[51]  Hsiu-Fen Lin,et al.  Determinants of successful virtual communities: Contributions from system characteristics and social factors , 2008, Inf. Manag..

[52]  Marcus Foth,et al.  Applications and implementations of new media in corporate communications: An action research approach , 2009 .

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

[54]  William J. Kettinger,et al.  Pragmatic Perspectives on the Measurement of Information Systems Service Quality Analysis with LISREL : An Appendix to Pragmatic Perspectives on the Measurement of Information Systems Service Quality , 2002 .

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

[56]  Alice M. Tybout,et al.  Impact of Deals and Deal Retraction on Brand Switching , 1978 .

[57]  Shu-Sheng Liaw,et al.  An investigation of user attitudes toward search engines as an information retrieval tool , 2003, Comput. Hum. Behav..

[58]  Chih-Hsing Liu,et al.  Understanding knowledge-sharing motivation, incentive mechanisms, and satisfaction in virtual communities , 2012 .

[59]  Marcus Foth,et al.  Action Research and New Media - Concepts, Methods, and Cases , 2008, New media: policy and social research issues.

[60]  Petter Bae Brandtzæg,et al.  Why People Use Social Networking Sites , 2009, HCI.

[61]  Chih-Chien Wang,et al.  Acceptance of Technology with Network Externalities: An Empirical Study of Internet Instant Messaging Services , 2005 .

[62]  Donnavieve N. Smith,et al.  Online Peer and Editorial Recommendations, Trust, and Choice in Virtual Markets , 2005 .

[63]  Hsiu-Fen Lin,et al.  Determinants of success for online communities: an empirical study , 2006, Behav. Inf. Technol..

[64]  Helen L. Partridge,et al.  Community networks today: Analysing new media for local social networking and community engagement , 2008 .

[65]  Alison Powell.  An ecology of public internet access: exploring contextual internet access in an urban community , 2007 .