Media richness and user acceptance of Second Life

Second Life is a 3-D multi user virtual environment and is used as a platform for education by many institutions around the world. It offers a variety of communication channels to perform academic activities for both distance and on-campus education. As such, Second Life provides an excellent platform to test the implications of media richness theory (MRT). This paper aims at examining the media richness of Second Life and its impact on the user acceptance. Media Richness Theory and Technology Acceptance Model have been used as its theoretical basis. PLS approach is used to test the hypothesised relationships. Our study results suggest that Second Life is highly rich medium and is capable of promoting effective communication among its users. We found that media richness has a direct positive effect on the perceived usefulness and perceived ease of use of Second Life which in turn leads to actual usage. Some implications of our findings are discussed and ideas for future research are also presented.

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

[2]  Christopher Selvarajah,et al.  International marketing antecedents of acculturation experiences of postgraduate overseas business students in Australia: a PLS approach , 2007 .

[3]  Robert W. Zmud,et al.  An Attribute Space for Organizational Communication Channels , 1990, Inf. Syst. Res..

[4]  Mun Y. Yi,et al.  Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model , 2003, Int. J. Hum. Comput. Stud..

[5]  Raafat George Saadé,et al.  The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model , 2005, Inf. Manag..

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

[7]  Albert L. Lederer,et al.  TAM and the World Wide Web , 1997 .

[8]  Paul Jen-Hwa Hu,et al.  Investigating healthcare professionals' decisions to accept telemedicine technology: an empirical test of competing theories , 2002, Inf. Manag..

[9]  Janet Fulk,et al.  Organizational Colleagues, Media Richness, and Electronic Mail , 1991 .

[10]  Magid Igbaria,et al.  End-user computing effectiveness: A structural equation model , 1990 .

[11]  Richard L. Daft,et al.  Message Equivocality, Media Selection, and Manager Performance: Implications for Information Systems , 1987, MIS Q..

[12]  R. Rice Task Analyzability, Use of New Media, and Effectiveness: A Multi-Site Exploration of Media Richness , 1992 .

[13]  Richard V. McCarthy,et al.  Measuring Faculty Perceptions of Blackboard Using the Technology Acceptance Model , 2007 .

[14]  Raafat George Saadé,et al.  Viability of the "Technology Acceptance Model" in Multimedia Learning Environments: A Comparative Study , 2007 .

[15]  James A. Senn,et al.  Challenges and strategies for research in systems development , 1992 .

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

[17]  Richard L. Daft,et al.  Organizational information requirements, media richness and structural design , 1986 .

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

[19]  Yuan Gao,et al.  Applying the Technology Acceptance Model to Educational Hypermedia: A Field Study , 2005 .

[20]  Paul Jen-Hwa Hu,et al.  Examining the effects of cognitive style in individuals' technology use decision making , 2008, Decis. Support Syst..

[21]  Pei-Chen Sun,et al.  The design of instructional multimedia in e-Learning: A Media Richness Theory-based approach , 2007, Comput. Educ..

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

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

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

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

[26]  R. Peterson A Meta-Analysis of Variance Accounted for and Factor Loadings in Exploratory Factor Analysis , 2000 .

[27]  Hassan M. Selim,et al.  An empirical investigation of student acceptance of course websites , 2003, Comput. Educ..

[28]  Andrew Dillon,et al.  The Influence of User Perceptions on Software Utilization: Application and Evaluation of a Theoretical Model of Technology Acceptance , 1997 .