The Roles of Perceived Enjoyment and Price Perception in Determining Acceptance of Multimedia-on-Demand

This research analyzes factors affecting the adoption of multimedia-on-demand (MOD) service by 542 subscribers of Chunghwa Telecom in Taiwan. The study applies the extended technology acceptance model, taking into account the perceived enjoyment and price perceptions of MOD service. Sample descriptive results indicate that the majority of the MOD service market consists of college-educated business customers. The study uses confirmatory factor analysis (CFA) and a structural equation model (SEM). The study has two major findings. First, perceived enjoyment is a salient endogenous factor affecting consumer attitudes and intentions toward use. This finding means that, in addition to offering a more humanized and simplified interface than cable TV, MOD service providers should offer more useful and entertaining content to attract customers. Second, lower monthly fees and lower prices for paid channels and movies on demand substantially contribute to customer intention toward MOD service use. The results show that a new relationship from perceived usefulness to perceived enjoyment has statistical significance. The interactive characteristics associated with providing more versatile entertainment to customers yields useful insights for the marketing and development strategies of MOD operators.

[1]  A. Herrmann,et al.  The influence of price fairness on customer satisfaction: an empirical test in the context of automobile purchases , 2007 .

[2]  Blanca Hernández Ortega,et al.  Analysis of the moderating effect of industry on online behaviour , 2006, Online Inf. Rev..

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

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

[5]  Gordon C. Bruner,et al.  Explaining consumer acceptance of handheld Internet devices , 2005 .

[6]  Leo R. Vijayasarathy,et al.  Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model , 2004, Inf. Manag..

[7]  Hung-Pin Shih,et al.  Extended technology acceptance model of Internet utilization behavior , 2004, Inf. Manag..

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

[9]  Hun Choi,et al.  An empirical study on the adoption of information appliances with a focus on interactive TV , 2003, Telematics Informatics.

[10]  Tino Fenech,et al.  Web retailing adoption: exploring the nature of internet users Web retailing behaviour , 2003 .

[11]  Joseph W. Alba,et al.  Consumer Perceptions of Price (Un)Fairness , 2003 .

[12]  Lei-da Chen,et al.  Enticing online consumers: an extended technology acceptance perspective , 2002, Inf. Manag..

[13]  R. Bagozzi,et al.  An attitudinal model of technology-based self-service: Moderating effects of consumer traits and situational factors , 2002 .

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

[15]  Terry L. Childers,et al.  HEDONIC AND UTILITARIAN MOTIVATIONS FOR ONLINE RETAIL SHOPPING BEHAVIOR , 2001 .

[16]  Andreas Herrmann,et al.  Customer satisfaction as an antecedent of price acceptance: results of an empirical study , 2001 .

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

[18]  Albert L. Lederer,et al.  The technology acceptance model and the World Wide Web , 2000, Decis. Support Syst..

[19]  T. Kollmann The price/acceptance function: perspectives of a pricing policy in European telecommunication markets , 2000 .

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

[21]  Olivia R. Liu Sheng,et al.  Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology , 1999, J. Manag. Inf. Syst..

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

[23]  Margaret C. Campbell Perceptions of Price Unfairness: Antecedents and Consequences , 1999 .

[24]  Detmar W. Straub,et al.  The psychological origins of perceived usefulness and ease-of-use , 1999, Inf. Manag..

[25]  Henry C. Lucas,et al.  Technology Use and Performance: A Field Study of Broker Workstations* , 1999 .

[26]  Glenn B. Voss,et al.  The Roles of Price, Performance, and Expectations in Determining Satisfaction in Service Exchanges: , 1998 .

[27]  Glenn B. Voss,et al.  The Roles of Price, Performance, and Expectations in Determining Satisfaction in Service Exchanges , 1998 .

[28]  B. Byrne Structural Equation Modeling with LISREL, PRELIS, and SIMPLIS: Basic Concepts, Applications, and Programming , 1998 .

[29]  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..

[30]  Karl G. Jöreskog,et al.  Lisrel 8: User's Reference Guide , 1997 .

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

[32]  Fred D. Davis,et al.  Measuring user acceptance of emerging information technologies: an assessment of possible method biases , 1995, Proceedings of the Twenty-Eighth Annual Hawaii International Conference on System Sciences.

[33]  Magid Igbaria,et al.  The respective roles of perceived usefulness and perceived fun in the acceptance of microcomputer technology , 1994, Behav. Inf. Technol..

[34]  Girish H. Subramanian,et al.  A Replication of Perceived Usefulness and Perceived Ease of Use Measurement , 1994 .

[35]  Albert H. Segars,et al.  Re-examining perceived ease of use and usefulness , 1993 .

[36]  Fred D. Davis User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts , 1993, Int. J. Man Mach. Stud..

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

[38]  Peter A. Todd,et al.  Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication , 1992, MIS Q..

[39]  Jan-Benedict E. M. Steenkamp,et al.  The use of LISREL in validating marketing constructs. , 1991 .

[40]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

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

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

[43]  H. Marsh,et al.  Application of confirmatory factor analysis to the study of self-concept: First- and higher order factor models and their invariance across groups. , 1985 .

[44]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

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

[46]  Vincent Cho,et al.  A study of the roles of trusts and risks in information-oriented online legal services using an integrated model , 2006, Inf. Manag..

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