Music Sharing in Russia: Understanding Behavioral Intention and Use of Music Downloading

This paper reviews attitudes toward acceptance and usability of file sharing for music downloading in Russia. There is a significant issue with respect to the copyright law legislation and enforcement. Since infrastructure, market conditions, social and economical situations in developing countries are different from those of developed countries, we decided to apply a well establish theory to a new population. We surveyed 67 young Russian people in terms of their attitudes, perceptions, and technology use for music downloading. As a general model, over 52% amount of variance was explained for in behavioral intention. However, perceived ease of use was not found to be significant or have any predictive power for behavioral intention. More importantly, external variables related to age, gender, Internet connection, and education were not found to have influence on any of the hypothesized variables. This study makes a first step at examining the way music downloading technologies are used in Russia.

[1]  John Ingham,et al.  Why do people use information technology? A critical review of the technology acceptance model , 2003, Inf. Manag..

[2]  Ahmed Abbas Sindi Acceptance of information technology: User acceptance model for expert systems. , 1992 .

[3]  Detmar W. Straub,et al.  Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance Model , 1997, MIS Q..

[4]  Dongwon Lee,et al.  On the Explanation of Factors Affecting E-Commerce Adoption , 2001, ICIS.

[5]  Viswanath Venkatesh,et al.  Creation of Favorable User Perceptions: Exploring the Role of Intrinsic Motivation , 1999, MIS Q..

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

[7]  Viswanath Venkatesh,et al.  Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior , 2000, MIS Q..

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

[9]  Charles D. Barrett Understanding Attitudes and Predicting Social Behavior , 1980 .

[10]  Detmar W. Straub,et al.  Current Technological Impediments to Business-to-Consumer Electronic Commerce , 1999, Commun. Assoc. Inf. Syst..

[11]  Shelia R. Cotten,et al.  Connection discrepancies: Unmasking further layers of the digital divide , 2003, First Monday.

[12]  Eric Walden,et al.  Consumer Behavior in the Adoption of Peer-to-Peer Technologies: An Empirical Examination of Information Cascades and Network Externalities , 2003, AMCIS.

[13]  Christina M. Gardner,et al.  Development of an instrument to measure the acceptance of Internet technology by consumers , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[14]  A. Adam Whatever happened to information systems ethics? Caught between the devil and the deep blue sea , 2004 .

[15]  Herbert W. Marsh,et al.  Flow experience in sport: Construct validation of multidimensional, hierarchical state and trait responses , 1999 .

[16]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[17]  Detmar W. Straub,et al.  Measuring System Usage: Implications for IS Theory Testing , 1995 .

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

[19]  Diane M. Strong,et al.  Extending the technology acceptance model with task-technology fit constructs , 1999, Inf. Manag..

[20]  Felix Oberholzer-Gee,et al.  P2P’s Impact on Recorded Music Sales , 2004 .

[21]  Peter A. Todd,et al.  Assessing IT usage: the role of prior experience , 1995 .

[22]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[23]  Paul Jen-Hwa Hu,et al.  Information Technology Acceptance by Individual Professionals: A Model Comparison Approach , 2001, Decis. Sci..

[24]  Lan Xia,et al.  Effects of Interruptions on Consumer Online Decision Processes , 2002 .

[25]  Patrick Y. K. Chau,et al.  An Empirical Assessment of a Modified Technology Acceptance Model , 1996, J. Manag. Inf. Syst..

[26]  R. MacCallum,et al.  Commentary on Quantitative Methods in I/O Research , 1998 .

[27]  Fred D. Davis,et al.  A Model of the Antecedents of Perceived Ease of Use: Development and Test† , 1996 .

[28]  James C. Wetherbe,et al.  The Adoption of Spreadsheet Software: Testing Innovation Diffusion Theory in the Context of End-User Computing , 1990, Inf. Syst. Res..

[29]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[30]  Viswanath Venkatesh,et al.  Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model , 2000, Inf. Syst. Res..

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

[32]  Eli M. Snir The Record Industry in an Era of File Sharing: Lessons from Vertical Differentiation , 2003, ICIS.

[33]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

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

[35]  Subhajyoti Bandyopadhyay,et al.  Bundling and Distribution of Digitized Music Over the Internet , 2000, J. Organ. Comput. Electron. Commer..

[36]  I. Ajzen The theory of planned behavior , 1991 .

[37]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

[38]  Ritu Agarwal,et al.  Are Individual Differences Germane to the Acceptance of New Information Technologies , 1999 .