Adoption of Twitter in higher education – a pilot study

Twitter has experienced a tremendous growth since its inception and is considered as an effective and simple social medium for communication. Despite its huge uptake, less is known about the usage of Twitter as a learning tool especially within higher education. This study investigates the adoption of Twitter in an e-Commerce unit in an Australian higher education institution. Building on Twitter‘s inherent social features, an extension to Davis‘s original Technology Acceptance Model (TAM) is devised by including intrinsic and extrinsic motivation behaviours as predictors of Twitter usage. The empirical evaluation does not provide support to the original TAM constructs of usefulness and ease-of-use but reveals enjoyment and social norms as the strongest predictors. The study implications suggest a mind-shift in the adoption of Web 2.0 tools as compared to that of traditional Web technologies, i.e., Web 2.0 is more about enjoyment and social presence and not merely about how useful or easy-to-use a technology is.

[1]  Yang-Chieh Chin,et al.  Predicting the Usage Intention of Social Network Games: An Intrinsic-Extrinsic Motivation Theory Perspective , 2011, Int. J. Online Mark..

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

[3]  Chin-Lung Hsu,et al.  Why do people play on-line games? An extended TAM with social influences and flow experience , 2004, Inf. Manag..

[4]  Wynne W. Chin.  Issues and Opinion on Structural Equation Modeling by , 2009 .

[5]  Mor Naaman,et al.  Is it really about me?: message content in social awareness streams , 2010, CSCW '10.

[6]  Erik M. van Raaij,et al.  The acceptance and use of a virtual learning environment in China , 2008, Comput. Educ..

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

[8]  Clyde W. Holsapple,et al.  User acceptance of virtual worlds: the Hedonic framework , 2007, DATB.

[9]  Rudolf R. Sinkovics,et al.  New Challenges to International Marketing , 2009 .

[10]  Balachander Krishnamurthy,et al.  A few chirps about twitter , 2008, WOSN '08.

[11]  Fang Wu,et al.  Social Networks that Matter: Twitter Under the Microscope , 2008, First Monday.

[12]  Joanna C. Dunlap,et al.  Horton Hears a Tweet. , 2009 .

[13]  Dianne Lux Wigand,et al.  Twitter in Government: Building Relationships One Tweet at a Time , 2010, 2010 Seventh International Conference on Information Technology: New Generations.

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

[15]  Dirk Riehle,et al.  Modeling Microblogging Adoption in the Enterprise , 2009, AMCIS.

[16]  David F. Larcker,et al.  Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics: , 1981 .

[17]  Chin-Lung Hsu,et al.  Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation , 2008, Inf. Manag..

[18]  Leysia Palen,et al.  Twitter adoption and use in mass convergence and emergency events , 2009 .

[19]  Matthew K. O. Lee,et al.  Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation , 2005, Inf. Manag..

[20]  Martin Ebner,et al.  Microblogs in Higher Education - A chance to facilitate informal and process-oriented learning? , 2010, Comput. Educ..