Applying the Technology Acceptance Model to Social Networking Sites (SNS): Impact of Subjective Norm and Social Capital on the Acceptance of SNS

REFERENCES

• Bentler , P. M. 1980 . Multivariate analysis with latent variables: Causal modeling . Annual Review of Psychology , 31 : 419 – 456 .
   Web of Science ®Google Scholar
• Bourdieu , P. and Wacquant , L. 1992 . An invitation to reflexive sociology , Chicago , IL : University of Chicago Press .
   Google Scholar
• Boyd , D. 2008 . “ Why youth (heart) social network sites: The role of networked publics in teenage social life ” . In Youth, identity, and digital media , Edited by: Buckingham , D. 119 – 142 . Cambridge , MA : MIT Press .
   Google Scholar
• Browne , M. W. and Cudeck , R. 1993 . “ Alternative ways of assessing model fit ” . In Testing structural equation models , Edited by: Bollen , K. A. and Long , J. S. 136 – 162 . Beverly Hills , CA : Sage .
   Google Scholar
• Burt , R. S. 2000 . “ The network structure of social capital ” . In Research in organizational behavior , Edited by: Robert , I. S. and Barry , M. S. 345 – 423 . Greenwich , CT : JAI Press .
   Google Scholar
• Cachia , R. , Compano , R. and Da Costa , O. 2007 . Grasping the potential of online social networks for foresight . Technological Forecasting & Social Change , 74 : 1179 – 1203 .
   Web of Science ®Google Scholar
• Charng , H. , Piliavin , J. A. and Callero , P. L. 1988 . Role-identity and reasoned action in the prediction of blood donation . Social Psychology Quarterly , 51 : 303 – 317 .
   Web of Science ®Google Scholar
• Choi , Y. B. , Abbott , T. A. , Arthur , M. A. and Hill , D. N. 2007 . Toward a future wireless classroom paradigm . International Journal of Innovation and Learning , 4 : 14 – 25 .
   Google Scholar
• Coleman , J. S. 1988 . Social capital in the creation of human capital . American Journal of Sociology , 94 ( Suppl ) : 95 – 120 .
   Web of Science ®Google Scholar
• Davis , F. D. 1989 . Perceived usefulness, perceived ease of use and user acceptance of information technology . MIS Quarterly , 13 : 319 – 339 .
   Web of Science ®Google Scholar
• Davis , F. D. , Bagozzi , R. P. and Warshaw , P. R. 1989 . User acceptance of computer technology: A comparison of two theoretical models . Management Science , 35 : 982 – 1003 .
   Web of Science ®Google Scholar
• Donath , J. and Boyd , D. 2004 . Public displays of connection . BT Technology Journal , 22 : 71 – 82 .
   Web of Science ®Google Scholar
• Ellison , N. , Steinfeld , C. and Lampe , C. June 2006 . Spatially bounded online social networks and social capital: The role of Facebook , June , Dresden , , Germany : Paper presented at the annual conference of the International Communication Association .
   Google Scholar
• Granovetter , M. S. 1982 . “ The strength of weak ties: A network theory revisited ” . In Social structure and network analysis , Edited by: Mardsen , P. V. and Lin , N. 105 – 130 . Thousand Oaks , CA : Sage .
   Google Scholar
• Hampton , K. and Wellman , B. 2003 . Neighboring in netville: How the internet supports community and social capital in a wired suburb . City & Community , 2 : 277 – 311 .
   Google Scholar
• Hogg , M. A. and Abrams , D. 1988 . Social identification: A social psychology of intergroup relations and group processes , London , UK : Routledge .
   Google Scholar
• Hu , L. and Bentler , P. M. 1999 . Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives . Structural Equation Modeling: A Multidisciplinary Journal , 6 : 1 – 55 .
   Web of Science ®Google Scholar
• Huysman , M. H. and Wulf , V. 2004 . Social capital and IT , Cambridge , MA : MIT Press .
   Google Scholar
• Hyde , M. and White , K. 2009 . To be a donor or not to be? Applying an extended theory of planned behavior to predict posthumous organ donation intentions . Journal of Applied Social Psychology , 39 : 880 – 900 .
   Web of Science ®Google Scholar
• Java , A. , Song , X. , Finin , T. and Tseng , B. 2007 . “ Why we twitter: Understanding microblogging usage and communities ” . In Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 Workshop on Web Mining and Social Network Analysis 56 – 65 .
   Google Scholar
• Kavanaugh , A. and Patterson , S. 2001 . The impact of community computer networking on community involvement and social capital . American Behavioral Scientist , 45 : 496 – 509 .
   Web of Science ®Google Scholar
• Kim , H. , Kim , T. and Shin , S. 2009 . Modeling roles of subjective norms and eTrust in customers’ acceptance of airline b2 eCommerce websites . Tourism Management , 30 : 266 – 277 .
   Web of Science ®Google Scholar
• Kim , J. , Kim , M. and Nam , Y. 2010 . An analysis of self-contruals, motivation, Facebook use, and user satisfaction . International Journal of Human–Computer Interaction , 26 : 1077 – 1099 .
   Web of Science ®Google Scholar
• Kline , R. B. 2005 . Principles and practice of structural equation modeling , 2nd , New York , NY : Guilford .
   Google Scholar
• Lau , S. H. and Woods , P. C. 2009 . Understanding learner acceptance of learning objects: The roles of learning object characteristics and individual differences . British Journal of Educational Technology , 40 : 1059 – 1075 .
   Web of Science ®Google Scholar
• Lee , M. and Tsai , T. 2010 . What drives people to continue to play online games? An extension of technology model and theory of planned behavior . International Journal of Human Computer Interaction , 26 : 601 – 620 .
   Web of Science ®Google Scholar
• Legris , P. , Ingham , J. and Collerette , P. 2003 . Why do people use information technology? A critical review of the technology acceptance model . Information & Management , 40 : 191 – 204 .
   Web of Science ®Google Scholar
• Marcinkiewicz , H. R. and Regstad , N. G. 1996 . Using subjective norms to predict teachers’ computer use . Journal of Computing in Teacher Education , 13 : 27 – 33 .
   Google Scholar
• Moan , I. and Rise , J. 2006 . Predicting smoking reduction among adolescents using an extended version of the theory of planned behavior . Psychology and Health , 21 : 717 – 738 .
   Web of Science ®Google Scholar
• Muthén , L. K. and Muthén , B. 1998–2010 . Mplus user's guide, Version 6 , Los Angeles , CA : Muthén & Muthén .
   Google Scholar
• Paxton , P. 1999 . Is social capital declining in the United States? A multiple indicator assessment . American Journal of Sociology , 105 : 88 – 127 .
   Web of Science ®Google Scholar
• Petrova , K. 2007 . Mobile learning as a mobile business application . International Journal of Innovation and Learning , 4 : 1 – 13 .
   Google Scholar
• Pfeil , U. , Arjan , R. and Zaphiris , P. 2009 . Age differences in online social networking - A study of user profiles and the social capital divide among teenagers and older users in MySpace . Computers in Human Behavior , 25 : 643 – 654 .
   Web of Science ®Google Scholar
• Putnam , R. D. 2000 . Bowling alone , New York , NY : Simon and Schuster .
   Google Scholar
• Qin , L. , Kim , Y. , Hsu , J. and Tan , X. 2011 . The effects of social influence on user acceptance of online social networks . International Journal of Human–Computer Interaction , 27 : 885 – 899 .
   Web of Science ®Google Scholar
• Rau , P. P. , Gao , Q. and Ding , Y. 2008 . Relationship between the level of intimacy and lurking in online social network services . Computers in Human Behavior , 24 : 2725 – 2770 .
   Web of Science ®Google Scholar
• Steiger , J. H. and Lind , J. C. May 1980 . Statistically-based tests for the number of common factors , May , Iowa City , IA : Paper presented at the annual spring meeting of the psychometric society .
   Google Scholar
• Sugar , W. , Crawley , F. and Fine , B. 2004 . Examining teachers’ decisions to adopt new technology . Educational Technology and Society , 7 : 201 – 213 .
   Web of Science ®Google Scholar
• Tajfel , H. and Turner , J. C. 1979 . “ An integrative theory of intergroup conflict ” . In The social psychology of intergroup relations , Edited by: Austin , W. G. and Worchel , S. 33 – 147 . Pacific Grove , CA : Brooks/Cole .
   Google Scholar
• Teo , T. 2009 . The impact of subjective norm and facilitating conditions on pre-service teachers’ attitude toward computer use: A structural equation modeling of an extended technology acceptance model . Journal of Educational Computing Research , 40 : 89 – 109 .
   Web of Science ®Google Scholar
• Venkatesh , V. 2000 . Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model . Information Systems Research , 22 : 342 – 365 .
   Web of Science ®Google Scholar
• Venkatesh , V. and Davis , F. D. 2000 . A theoretical extension of the technology acceptance model: Four longitudinal field studies . Management Science , 46 : 186 – 204 .
   Web of Science ®Google Scholar
• Yuen , A. H. K. and Ma , W. W. K. 2008 . Exploring teacher acceptance of e-learning technology . Asia-Pacific Journal of Teacher Education , 36 : 229 – 243 .
   Web of Science ®Google Scholar