An Empirical Study on the Factors Influencing Acceptance of Convergence Services：Focusing on Telematics Service
Convergence service, which is a combination of various services, is becoming more important. Among the many examples of convergence service, this study aims to analyze telematics service. By dividing Telematics service into information services and entertainment services, it was empirically proved that the relationship between each dimensions of TAM (perceived ease of use, perceived usefulness, purchase intention) and each service satisfaction, price, design factor. According to the result of structure equation model, service satisfaction and design factor have a significant effect on perceived ease of use, but not on perceived usefulness. It means that the perceived ease of use factor should be emphasized, because of service characteristics that are used during driving.
Adams, D., R. Nelson and Todd, P., “Perceived Usefulness, Ease of Use, and Usage of Information Technology：A Replication,” MIS Quarterly, Vol. 16, No. 2. pp. 227-247, 1992.
Ajzen, I. and Cliffs, N. J., Fishbein, M. Understanding Attitudes and Predicting Social Behavior, Prentice Hall, Englewood 1980.
Barbara, H., Wixom, Peter A., “A Theo- retical Integration of User Satisfaction and Technology Acceptance,” Information Systems Research, Vol. 16, No. 1, pp. 85-102, 2005.
Bitner, M. J., “Service and technology : opportunities and paradoxes,” Managing Service Quality, Vol. 11, No. 6, pp. 375-379, 2001.
Chin, W. W., “Issues and Opinion on Structural equation Modeling,” MIS Quterly, Vol. 22, No. 1, pp. 3-2, 1998.
Choi, B., “rend between Automabile and IT Convergence,” ERI eport, Vol. 65, pp. 1-11, 2005.
Constantinides, E., “The 4S Web-marketing mix model, electronic commerce research and applications,” Elsevier Science, Vol. 1, No. 1, pp. 57-76, 2002.
Davis, F. D., “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” MIS Quarterly, Vol. 13, No. 3, pp. 319-340, 1989.
Davis, F. D., A technology acceptance model for empirically testing new enduser information systems : theory and results. Ph.D. dissertation, MIT Sloan School of Management, Cambridge, MA, 1986.
Davis, F. D., Bagozzi, R. P. and Warshaw, P. R., “User Acceptance of Computer Technology : a Comparison of Two Theoretical Models,” Management Science, Vol. 35, No. 8, pp. 982-1002, 1989.
Davis, F. D., Bagozzi, R. P. and Warshaw, P. R., “Extrinsic and Intrinsic Motivation to Use Computers in the Workplace,” Journal of Applied Social Psychology, Vol. 22, No. 14, pp. 1111-1132, 1992.
Dodds, W. G., Frederick, A. M. and Chad, I. F., “The Effect of Preovulatory Peritoneal Fluid from Cases of Endometritis on Murine in Fertilization, Embryo Development, Oviduct Transport, and Implantation,” American Journal of Obstetrics and Gynecology, Vol. 166, No. 1, pp. 219-224, 1991.
Fishbein, M. and Reading, M. A., Ajzen, I., Beliefs, Attitude, Intention, and Behavior : An Introduction to Theory and Research, Addison-Wesley, 1975.
Fornell, C. and Larcker, D. F., “Structural Equation Models With Unobservable variables and Measurement Errors,” Journal of Marketing Research, Vol. 18, No. 2, pp. 39-50, 1981.
Hair, J. F., Anderson, R. E., Tatham, R. L. W. C., and Black, Multivariate Data Analysis with Readings, 5th Edition. Macmillan, New York, 1998.
Igbaria, Guimaraes, and G. B. Davis., “Testing the Determinants of Microcomputer Usage via a Structural Equation Model,” Journal of Management Information Systems, Vol. 11, No. 4, pp. 87-114, 1995.
Kim, H. J., Han, C. H., Suh, B. and Kim, K. C., “A Study on the Factors Affecting Customer’s Intention to Use the Mobile Game Service,” The Journal of Society for e-Business Studies, Vol. 10, No. 1, pp. 1-16, 2005.
Kim, S. H., “Catch Car infotainment,” LG weekly economic, 2005.
Kim, T. K. and Chang, W. K., “A Study on the Adoption of Accounting Information Systems-An Extended TAM Perspective,” Korean Journal of Business Administration, Vol. 21, No. 2, pp. 739-765, 2008.
Kwon, O. B., Wen, Y. and Kim, M. Y., “Factors Affecting Blog Use : An Empirical Study Using Extended TAM and Perceived Encouragement,” The Journal of Society for e-Business Studies, Vol. 12, No. 4, pp. 165-182, 2007.
Lee, W. K. and Kwon, J., “An Analysis of the Relationships between the Technology Acceptance Model and Switching Costs,” Journal of the Korean Operations Research and Management Science Society, Vol. 37, No. 1, pp. 89-104, 2012.
Lenfle, S., Midler, C., “Innovation in automotive telematics services,” International journal of Automotive Technology and Management, Vol. 3, No. 1-2, pp. 144-159, 2003.
Moon and Kim, “Extending the TAM for a World-Wide-Web context,” Information and Management, Vol. 38, No. 4, pp. 217-230, 2001.
Rogers, E. M., Diffusion of Innovations, NY : The Free Fress, 1983.
Scarborough, N. M. and Zimmerer, T. W., Effective Small Business Management, sixthed., Prentice-Hall, NewJersey, 2000.
Shin, H. S., Song, Y. U. and Sung, N. H., “The Impact of Perception on the Difference Between Mobile and Stationary Internet Toward the Intention to Use Mobile Internet,” The Journal of Society for e-Business Studies, Vol. 15, No. 3, pp. 99-126, 2010.
Sim, J. B., “A Study on Differentiation Strategy for Tablet PC and e-Book Reader by a Comparative Analysis of Acceptance․Diffusion Factors,” Korean Management Science Review, Vol. 28, No. 1, pp. 25-42, 2011.
Venkatesh, V. A. and Davis, F. D., “A Theoretical Extension of the Technology Acceptance Model：Four Longitudinal Field Studies,” Management Science, Vol. 46, No. 2, pp. 186-204, 2000.
Venkatesh, V. A. and Morris, M. G., “Why don’t Men ever stop to ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior,” MIS Quarterly, Vol. 24, No. 1, pp. 115-139, 2000.
Wu, J. H. and Wang, S. C., “What drives mobile commerce? : An empirical evaluation of the revised technology acceptance model,” Information and management, Vol. 42, No. 5, pp. 719-729, 2005.
- There are currently no refbacks.