An empirical investigation of a modified technology acceptance model of IPTV

This study explores the factors influencing the adoption of IPTV, and tests the applicability of the technology acceptance model (TAM) in a new convergent technology. The behavioural constructs from TAM were tested for predicting user acceptance of IPTV. Structural equation modelling was used to analyse data and to design a theoretical model predicting the individual's intention to adopt IPTV. A modified TAM for IPTV proposes that new constructs determine user-perceived usefulness and enjoyment of using IPTV. Although this study confirms the impact of information quality and system quality on consumers' technology experience, it specifically shows that the perceived quality of content and system were found to have a significant effect on users' perceived usefulness and perceived enjoyment. In addition, social influences had a positive effect on the intention to use IPTV. These findings suggest an extension of the TAM model for convergence technologies. This research advances theory and contributes to the foundation for future research aimed at improving the understanding of users' adoption behaviour of convergence technologies. Implications of these findings for practice and research are examined.

[1]  Detmar W. Straub,et al.  Development of an Instrument to Study the Use of Recommendation Systems , 2003, AMCIS.

[2]  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..

[3]  Ann Fogelgren-Pedersen,et al.  The Mobile Internet: The Pioneering Users' Adoption Decisions , 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences.

[4]  Magid Igbaria,et al.  A Motivational Model of Microcomputer Usage , 1996, J. Manag. Inf. Syst..

[5]  Young-Gul Kim,et al.  Extending the TAM for a World-Wide-Web context , 2000, Inf. Manag..

[6]  Dong-Hee Shin Convergence of telecommunications, media and information technology, and implications for regulation , 2006 .

[7]  J. P. Peter Construct Validity: A Review of Basic Issues and Marketing Practices , 1981 .

[8]  E. Rogers Diffusion of Innovations , 1962 .

[9]  Andrew Dillon,et al.  How User Perceptions Influence Software Use , 1997, IEEE Softw..

[10]  Margaret Tan,et al.  Adopters and non-adopters of internet stock trading in Singapore , 2004, Behav. Inf. Technol..

[11]  Swinder Janda,et al.  How do consumers evaluate Internet retail service quality , 2003 .

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

[13]  Thompson S. H. Teo,et al.  Intrinsic and extrinsic motivation in Internet usage , 1999 .

[14]  KimYoung-Gul,et al.  Extending the TAM for a World-Wide-Web context , 2001 .

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

[16]  M. Browne,et al.  Alternative Ways of Assessing Model Fit , 1992 .

[17]  Dong-Hee Shin,et al.  RETRACTED: Potential user factors driving adoption of IPTV. What are customers expecting from IPTV? , 2007 .

[18]  Heshan Sun,et al.  The role of moderating factors in user technology acceptance , 2006, Int. J. Hum. Comput. Stud..

[19]  Myeong-Cheol Park,et al.  Mobile internet acceptance in Korea , 2005, Internet Res..

[20]  WangShu-Ching,et al.  What drives mobile commerce? An empirical evaluation of the revised technology acceptance model , 2005 .

[21]  J. Hair Multivariate data analysis , 1972 .

[22]  Per E. Pedersen,et al.  Mobilizing the Brand , 2005 .

[23]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[24]  Jaejeung Rho,et al.  Extending the TAM for a t-commerce , 2005, Inf. Manag..

[25]  Chang Liu,et al.  Technology acceptance model for wireless Internet , 2003, Internet Res..

[26]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[27]  Michael Tow Cheung,et al.  Internet-based e-banking and consumer attitudes: an empirical study , 2002, Inf. Manag..

[28]  Yu-Chen Chen,et al.  Extrinsic versus intrinsic motivations for consumers to shop on-line , 2005, Inf. Manag..

[29]  Prashant C. Palvia,et al.  Developing and validating an instrument for measuring user-perceived web quality , 2002, Inf. Manag..

[30]  Michael Tow Cheung,et al.  Internet-based e-shopping and consumer attitudes: an empirical study , 2001, Inf. Manag..

[31]  Jen-Her Wu,et al.  What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model , 2005, Inf. Manag..

[32]  Hans van der Heijden,et al.  Factors influencing the usage of websites: the case of a generic portal in The Netherlands , 2003, Inf. Manag..

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

[34]  Ingoo Han,et al.  The Impact of Customer Trust and Perception of Security Control on the Acceptance of Electronic Commerce , 2003, Int. J. Electron. Commer..

[35]  Shin-Yuan Hung,et al.  Critical factors of WAP services adoption: an empirical study , 2003, Electron. Commer. Res. Appl..

[36]  J. Nunnally,et al.  Psychometric Theory: NY. , 1978 .

[37]  M. Appelbaum,et al.  Psychometric methods. , 1989, Annual review of psychology.

[38]  Judy Chuan-Chuan Lin,et al.  Towards an understanding of the behavioural intention to use a web site , 2000, Int. J. Inf. Manag..

[39]  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..

[40]  Richard,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace , 2022 .

[41]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[42]  Fred J. Heemstra,et al.  Senior executives' use of information technology , 2001, Inf. Softw. Technol..