Effect of media richness on user acceptance of blogs and podcasts

Effective communication has long been recognised as a key element in problem solving and decision making within and among organisations including educational institutions. With the advent of Web 2.0 technologies, the communication choices have also been expanded. Media Richness Theory (MRT) has long been used to examine the effect of traditional and new media on decision making. However, less is known about media richness of Web 2.0 technologies. This paper attempts to examine the media richness capabilities of two popular Web 2.0 technologies, blogs and podcasts, and its effect on user acceptance of these two technologies in Computer Science education. A theoretical model is presented using MRT and technology acceptance model (TAM). Students enrolled in Bachelor / Master of Computer Science programs participated in an online survey that helped in evaluating the proposed model. The study findings confirm the significant effect of media richness on user acceptance of blogs and podcasts but contradict MRT as rich medium (podcast) exerted weaker influence on user acceptance as compared to lean medium (blog).

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

[2]  Abigail Sellen,et al.  The value of video in work at a distance: Addition or distraction? , 2000, Behav. Inf. Technol..

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

[4]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[5]  Andrew Gemino,et al.  Investigating Coherence and Multimedia Effects of a Technology-Mediated Collaborative Environment , 2006, J. Manag. Inf. Syst..

[6]  R. Clark.  Media will never influence learning , 1994 .

[7]  C. Erik Timmerman,et al.  Computer-Assisted Instruction, Media Richness, and College Student Performance , 2006 .

[8]  Said S. Al-Gahtani,et al.  Attitudes, satisfaction and usage: Factors contributing to each in the acceptance of information technology , 1999, Behav. Inf. Technol..

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

[10]  Hsiu-Li Liao,et al.  Impact of media richness and flow on e-learning technology acceptance , 2009, Comput. Educ..

[11]  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..

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

[13]  Thomas A. Keenan.  Computers and education , 1964, CACM.

[14]  John R. Carlson,et al.  Channel Expansion Theory and the Experiential Nature of Media Richness Perceptions , 1999 .

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

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

[17]  SaadéRaafat,et al.  The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning , 2005 .

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

[19]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[20]  R. Daft,et al.  Information Richness. A New Approach to Managerial Behavior and Organization Design , 1983 .

[21]  Shu-Sheng Liaw,et al.  Investigating students' perceived satisfaction, behavioral intention, and effectiveness of e-learning: A case study of the Blackboard system , 2008, Comput. Educ..

[22]  Robin Mason,et al.  Use of innovative technologies on an e-learning course , 2005, Internet High. Educ..

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

[24]  Giovanni Vincenti,et al.  Learning Computer Science Fundamentals through Virtual Environments , 2009, HCI.

[25]  Eric W. T. Ngai,et al.  Empirical examination of the adoption of WebCT using TAM , 2007, Comput. Educ..

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

[27]  David C. Yen,et al.  An exploratory study of the selection of communication media: The relationship between flow and communication outcomes , 2008, Decis. Support Syst..

[28]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.