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http://dx.doi.org/10.9708/jksci.2016.21.9.113

The Effect Factors on the Purchase Intension of Smart Car as of High Innovative Technology and Product; Consumer's Individual Attributes, Perceived Benefit and Switching Cost  

Ahn, Yeon S. (Dept. of Business, College of Business, Gachon University)
Abstract
In this paper, a research model is proved empirically which includes factors related on the purchase intention of smart car as high innovative product in advance of commercialization. As one of relating to consumer's expectation benefit factors, individual attribute factor includes product knowledge, individual innovativeness, and sociality. Consumer's expectation benefit factor includes perceived ease-of-use, usefulness, and enjoyment. As of switching cost variables, there are financial, uncertainty, relational and psychological switching costs factors. Analysis were performed using data from the 257 respondents as random sampling among potential consumers. Purchase intention were affected by individual innovativeness mediated by perceived enjoyment, and individual sociality by perceived ease-of-use and enjoyment also. Relational switching costs factor was only a significant control variable between purchase intention with consumer's expectation benefit factor. This result presents some implications for making the new smart car's detail concept and marketing strategy related to targeting the consumer as high innovative product and technology firms including smart car makers.
Keywords
Smart Car; Purchase Intention; Expectation Benefit; Switching Cost; High Innovative Product;
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1 Choi, M. S., "An empirical study on the factors of smart phone acceptance- based on the personal innovativeness, social influence and user interface," Design Forum, Vol. 39, No. 3, pp. 189-200, 2011.
2 Davis, F. D., "Perceived usefulness, perceived ease of use, and user acceptance of information technology," MIS Quarterly, Volume 13, No. 3, pp. 319-340, 1989.   DOI
3 Higgins, C. A., "Computer self-efficacy: development of a measure and initial test," MIS Quarterly, Volume 19, No. 2, pp. 189-211, 1995.   DOI
4 Duhan D. F., Johnson S.D., Wilcox J.B. & Harrell G.D., "Influence on Consumer Use of Word of Mouth Recommendation Sources," Journal of the Academy of Marketing Science, Vol. 25, No. 4, pp. 283-296, 1997.   DOI
5 Fornell, Claes, "A national Customer Satisfaction Barometer: The Swedish Experience," Journal of Marketing, Vol. 56, 6-21, Jan. 1992.   DOI
6 Gatignon H. & T. S. Robertson, "Technology Diffusion: An Empirical Test of Competitive Effects," Journal of Marketing, Vol. 53, No. 1, pp. 35-49, Jan. 1989.   DOI
7 Hossain, F. M. Anayet, Md. Korban Ali, "Relation between Individual and Society," Open Journal of Social Sciences, Vol. 2, 130-137, 2014.   DOI
8 Jones, M., D.L. Mothersbaugh, S.E. Beatty, "Why customers stay: measuring the underlying dimensions of services switching costs and managing their differential strategic outcomes," Journal of Business Research, Vol. 55, No. 6, pp. 441-450, June 2002.   DOI
9 Ohanian, Roobina, "The Impact of Celebrity Spokespersons' Perceived Image on Consumers' Intention to Purchase," Journal of Advertising Research, Vol. 31, No. 1, pp. 46-54, 1991.
10 Parasuraman, A., "Technology readiness index(TRI): A multiple-item scale to measure readiness to embrace new technologies," Journal of Service Research, Vol. 2, No. 4, 177-192, 2000.
11 Rogers, E. M., Diffusion of innovations(5th ed.). New York: Free Press, 2003.
12 Sun, H., Ping Zhang, "Causal Relationships between Perceived Enjoyment and Perceived Ease of Use: An Alternative Approach," Journal of the Association for Information Systems, Vol. 7, No. 9, pp. 618-645, 2006.   DOI
13 Yoo, C. J., Ahn, K. H., Bang, S. L., "Effects of On-line Reviews' Favorability and Feedback level on Consumer Responses: Based on Experimental Design on Web-Site," Journal of consumption culture, Vol. 12, No. 4, pp. 27-40, 2009.
14 Cagla Gizem Gogus, Gokhan Ozer, "The roles of technology acceptance model antecedents and switching cost on accounting software use," Academy of Information and Management Sciences Journal, Vol. 17, No. 1, pp. 1-24, 2014.
15 Baksi, A. K., "Moderating effects of CRM performance: Relationship Inertia and Switching Cost in Banking Industry," SCMS Journal of Indian Management, pp. 19-36, Oct.-Dec. 2015.
16 Burnham, T. A., J. K. Frels, V. Mahajan, "Consumer Switching Costs: A Typology, Antecedents, and Consequences," Journal of the Academy of Marketing Science, Vol. 31, No. 2, pp. 109-126, April 2003.   DOI