Adoption of dynamic product imagery for online shopping: Does age matter?

International Review of Retail, Distribution and Consumer Research

Volumn 20, Issue 4, 2010, Pages 449-467

  Kim, Jiyeon ^a   Forsythe, Sandra ^b  

^a UNIVERSITY OF SOUTH CAROLINA   (United States)

^b AUBURN UNIVERSITY   (United States)

Author keywords

age; dynamic product imagery; functional value; hedonic value; perceived risk

Indexed keywords

EID: 77955533491     PISSN: 09593969     EISSN: 14664402     Source Type: Journal    
DOI: 10.1080/09593969.2010.504011     Document Type: Article

References (56)

1. Adams, D.A., R.R. Nelson, and P.A. Todd. 1992. Perceived usefulness, ease of use, and usage of information technology: A replication. MIS Quarterly 16, no. 2: 227-247.
2. Agarwal, R., and J. Prasad. 1998. A conceptual and operational definition of personal innovativeness in the domain of information technology. Information System Research 9 (June): 204-215.
3. Ajzen, I. 1991. The theory of planned behavior. Organizational Behavior and Human Decision Processes 50: 179-211.
4. Ajzen, I., and M. Fishbein. 1980. Understanding attitudes and predicting behavior. Englewood Cliffs, NJ: Prentice Hall.
5. Babin, B.J., W.R. Darden, and M. Griffen. 1994. Work and/or fun: Measuring hedonic and utilitarian shopping value. Journal of Consumer Research 20, no. 4: 644-656.
6. Bagozzi, R.P. 1994. Structural equation models in marketing research: Basic principles. In Principles of marketing research, ed. R.P. Bagozzi, 35-67. Oxford: Blackwell.
7. Browne, M.W., and R. Cudeck. 1993. Alternative ways of assessing model fit. In Testing structural equation models, ed. K.A. Bollen, and J.S. Long, 136-62. Newbury Park, CA: Sage.
8. Cambre, M.A., and D.L. Cook. 1985. Computer anxiety: Definitions, measurement, and correlations. Journal of Education and Consumer Research 1: 37-54.
9. Census.gov. 2009. Wholesale & retail trade: Online retail sales - electronic shopping and mail- order houses-total and E-commerce sales by merchandise line. [On-line]. http://www.census.gov/compendia/statab/cats/wholesale_retail_trade/online_retail_sales.html
10. Chau, P.Y.K. 1996. An empirical assessment of a modified technology acceptance model. Journal of Management Information Systems 13, no. 2: 185-204.
11. Chilers, L., C.L. Carr, J. Peck, and S. Carson. 2001. Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing 77: 511-535.
12. Citrin, A.V., D.E. Stem, E.R. Spangenberg, and M.J. Clark. 2003. Consumer need for tactile input: An Internet retailing challenge. Journal of Business Research 56: 915-922.
13. Compeau, D.R., and C.A. Higgins. 1995. Computer self-efficacy: Development of a measure and initial test. MIS Quarterly 19, no. 2: 189-211.
14. Dabholkar, P.A. 1994. Technology-based service delivery: A classification scheme for developing marketing strategies. In Advances in services marketing and management, ed.T.A. Swartz, D.E. Bowen, and S.W. Brown, 241-271. Greenwich, CT: JAI Press.
15. Davis, F.D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13, no. September: 319-340.
16. Davis, F.D., R.P. Bagozzi, and P.R. Warshaw. 1992. Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology 22, no. 14: 1111- 1132.
17. Flynn, L.R., and R.E. Goldsmith. 1993. A validation of the Goldsmith and Hofacker innovativeness scale. Education and Psychology 53: 1105-1116.
18. Fornell, C., and D.F. Larcker. 1981. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18, no. February: 39-50.
19. Gefen, D., and D. Straub. 1997. Gender differences in the perception and use of e-mail: An extension to the technology acceptance model. MIS Quarterly 21, no. 4: 389-400.
20. Grewal, D., G.R. Iyer, and M. Levy. 2004. Internet retailing: Enablers, limiters and market consequences. Journal of Business Research 57, no. 7: 703-713.
21. Hair, J.F.Jr, R.E. Anderson, R.L. Tatham, and W.C. Black. 1998. Multivariate data analysis. Englewood Cliffs, NJ: Prentice-Hall.
22. Heijden, H. 2000. E-TAM: A revision of the technology acceptance model to explain websites revisits. Research Memorandum 2000-2029, no. September.
23. Heijden, V.D. 2004. User acceptance of hedonic information systems. MIS Quarterly 28, no. 4: 695-703.
24. Hirschman, E.C. 1980. Innovativeness, novelty seeking, and consumer creativity. Journal of Consumer Research 7: 283-295.
25. Hirschman, E.C. 1984. Experience seeking: A subjectivistic perception of consumption. Journal of Business Research 12: 115-136.
26. Hoffman, D.L., and T.P. Novak. 1996. Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing 60, no. 3: 50-68.
27. Hu, L.T., and P.M. Bentler. 1999. Cutoff criteria for fit indices in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling 6: 1-55.
28. Igbaria, M., S. Parasuraman, and J.J. Baroudi. 1996. A motivation model of microcomputer usage. Journal of Management Information Systems 13, no. 1: 127-143.
29. Internetretailer.com. 2009. eBay tops health and wellness sales and Amazon wins in consumer electronics. [On-line] Available: http://www.internetretailer.com/dailyNews.asp?id1/431315
30. Kartsounis, G.A., N. Magnenat-Thalmann, and H. Rodrian. 2001. E-tailer: Integration of 3D scanners, CAD and virtual try-on technologies for online retailing of made-to-measure garments. Research and Technological Development (RTD) Project.
31. Klein, L.R. 2003. Creating virtual product experiences: The role of telepresence. Journal of Interactive Marketing 17, no. 1: 41-55.
32. Kline, R.B. 1998. Principles and practice of structural equation modeling. 2nd ed. New York, NY: The Guilford Press.
33. Korgaonkar, P.K., and G.P. Moschis. 1987. Consumer adoption of videotext services. Journal of Direct Marketing 1: 63-71.
34. Li, H., T. Daugherty, and F. Biocca. 2002. Impact of 3D advertising on product knowledge, brand attitude, and purchase intention: The mediating role of presence. Journal of Advertising 31, no. 33: 43-58.
35. Li, H., T. Daugherty, and F. Biocca. 2003. The role of virtual experience in consumer learning. Journal of Consumer Psychology 13, no. 4: 395-407.
36. Liao, S., Y.P. Shao, H. Wang, and A. Chen. 1999. The adoption of virtual banking: An empirical study. International Journal of Information Management 19, no. 1: 63-74.
37. Mahoney, M. 2001. E-tailers dangle 3D imaging to covert surfers to buyers. E-commerce Times. September 20. On-line. http://www.ecommercetimes.com/perl/story/13521.html.
38. Manning, K.C., W.O. Bearden, and T.J. Madden. 1995. Consumer innovativeness and the adoption process. Journal of Consumer Psychology 4, no. 4: 329-345.
39. Menon, S., and B. Kahn. 2002. Cross-category effects of induced arousal and pleasure on the internet shopping experience. Journal of Business Research 78 (May): 31-40.
40. Meuter, M.L., M.J. Bitner, A.L. Ostrom, and S.W. Brown. 2005 (2003). The influence of technology anxiety on consumer use and experiences with self-service technologies. Journal of Business Research 56: 899-906.
41. Meuter, M.L., A.L. Ostrom, M.J. Bitner, and R. Roundtree. 2003. The influence of technology anxiety on consumer use and experiences with self-service technologies. Journal of Business Research 56: 899-906.
42. Moore, G.C., and I. Benbasat. 1991. Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research 2, no. 3: 192-222.
43. Niemela-Nyrhinen, J. 2007. Baby boom consumers and technology. Journal of Consumer Marketing 24, no. 5: 305-312.
44. Nunnally, J.C., and I.H. Bernstein. 1994. Psychometric theory. 3rd ed. New York: McGraw- Hill.
45. Pavlou, P.A. 2003. Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce 7, no. 3: 69-103.
46. Pearson, P.H. 1970. Relationships between global and specified measures of novelty seeking. Journal of Consulting and Clinical Psychology 34: 199-204.
47. Robinson, L. Jr., G.W. Marshall, and M.B. Stamps. 2004. Sales force use of technology: Antecedents to technology acceptance. Journal of Business Research 58, no. 12: 1623-1631.
48. Rogers, E. 1995. Diffusion of innovations. 4th ed. New York: The Free Press.
49. Schlosser, A.E. 2003. Experiencing products in the virtual world: The role of goal and imagery in influencing attitudes versus purchase intentions. Journal of Consumer Research 30, no. September: 184-197.
50. Scott, C.R., and S.C. Rockwell. 1997. The effect of communication, writing, and technology apprehension on likelihood to use new communication technologies. Communication Education 46, (January): 44-62.
51. Segars, A.H., and V. Grover. 1993. Re-examining perceived ease of use and usefulness: A confirmatory factor analysis. MIS Quarterly December: 517-525.
52. Shih, M., and C. Tsai. 2006. The anxiety of technology integration: Its influence on school personnel. Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2006, eds. L. Pearson and P. Bohman, 746-750, Chesapeake, VA: AACE.
53. Szajna, B. 1996. Empirical evaluation of the revised technology acceptance model. Management Science 42, no. 1: 85-92.
54. Taylor, S., and P. Todd. 1995. Assessing IT usage: The role of prior experience. MIS Quarterly 19, no. 4: 561-557.
55. Venkatraman, M.P., and L.P. Price. 1990. Differentiating between cognitive and sensory innovativeness: Concepts, measurement and their implications. Journal of Business Research 20: 293-315.
56. Westbrook, R.A. 1980. A Rating Scale for measuring product/service satisfaction. Journal of Marketing 44, no. 4: 68-72.