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http://dx.doi.org/10.7741/rjcc.2012.20.3.451

Perceptions of Presence as Antecedents to E-tail Shopping - An Extended Technology Acceptance Model -  

Park, Jee-Sun (The University of Tennessee)
Hyun, Jong-Han (Kent State University)
Fairhurst, Ann (The University of Tennessee)
Lee, Kyu-Hye (Hanyang University)
Publication Information
The Research Journal of the Costume Culture / v.20, no.3, 2012 , pp. 451-462 More about this Journal
Abstract
Drawing on the literature on TAM and presence, this study proposes a model of the extended TAM by identifying factors that affect the motivations to enhance our understanding of online consumers' acceptance of an e-tail website. This study conceptualizes that consumers' perceived presence variables such as telepresence and social presence are the antecedents to the motivations of TAM. Empirical tests using regression analyses generally supported the proposed model. The overall conclusion from the current data is that our integrated model is useful in understanding consumers' acceptance of an apparel e-tail website. The findings show that perceived usefulness, perceived ease of use, and perceived interest motivations act as strong determinants of consumers' attitude toward an e-tailer, which leads to their behavioral intentions about the e-tailer. This suggests that apparel e-tailers should consider these three motivations when they design their websites. As one way to influence these three factors, this study showed the role of perceived presence in the usage of an apparel e-tail website. The findings suggest that online consumers' perceptions of "being there" and "socialness" stimulate their perceptions of usefulness and interest in the website use. Thus, e-tailers should consider effective ways to increase consumers' perceived presence.
Keywords
telepresence; social-presence; TAM; e-tailer;
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1 Yadav, M. S., & Varadarajan, R.(2005). Interactivity in the electronic marketplace: An exposition of the concept and implications for research. Journal of the Academy of Marketing Science, 33(4), 585-603.   DOI   ScienceOn
2 Short, J., & Williams, E.(1976). The social psychology of telecommunication. London: Wiley.
3 Trevino, L. K., & Webster, J.(1992). Flow in computer- mediated eommunication: Electronic mail and voice mail evaluation and impacts. Communication Research, 19(5), 539-573.   DOI
4 van der Heijden, H.(2003). Factors influencing the usage of websites: The case of a generic portal in the Netherlands. Information & Management, 40(6), 541-549.   DOI   ScienceOn
5 van der Heijden, H.(2004). User acceptance of hedonic information systems. MIS Quarterly, 28(4), 695- 704.   DOI
6 Venkatesh, V., & Davis, F. D.(2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.   DOI   ScienceOn
7 Wang, L. C., Baker, J., Wagner, J. A., & Wakefield, K.(2007). Can a retail Web site be social? Journal of Marketing, 71(3), 143-157.   DOI   ScienceOn
8 Lombard, M., & Ditton, T.(1997). At the heart of it all: The concept of presence. Journal of Computer Mediated Communication, 3(2). Retrieved from http://www.ascusc.org/jcmc
9 Moon, J. W., & Kim, Y. G.(2001). Extending the TAM for a world-wide-web context. Information & Management, 38(4), 217-230.   DOI   ScienceOn
10 Novak, T. P., Hoffman, D. L., & Yiu-Fai, Y.(2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, 19(1), 22-42.   DOI   ScienceOn
11 Oh, S. H., Kim, Y. M., Lee, C. W., Shim, G. Y., Park, M. S., & Jung, H. S.(2009). Consumer adoption of virtual stores in Korea: Focusing on the role of trust and playfulness. Psychology and Marketing, 26(7), 652-668.   DOI   ScienceOn
12 Reeves, B., & Nass, C.(1996). The media equation: How people treat computers, television, and new media like real people and places. New York: CSLI Publications.
13 Sheppard, B. H., Hartwick, J., & Warshaw, P. R.(1988). The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research, 15(3), 325-343.   DOI   ScienceOn
14 Gefen, D., & Straub, D.(2003). Managing user trust in B2C e-services. e-Service Journal, 2(2), 7-24.   DOI   ScienceOn
15 Hassanein, K., & Head, M.(2006). The impact of infusing social presence in the web interface: An investigation across product types. International Journal of Electronic Commerce, 10(2), 31-55.   DOI   ScienceOn
16 Hoffman, D. L., & Novak, T. P.(1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing, 60(3), 50-68   DOI   ScienceOn
17 Hopkins, C. D., Raymond, M. A., & Mitra, A.(2004). Consumer responses to perceived telepresence in the online advertising environment: The moderating role of involvement. Marketing Theory, 4(1/2), 137-162.   DOI
18 Hyun, M., & O'Keefe, R.(2012). Virtual destination image: Testing a telepresence model. Journal of Business Research, 65(1), 29-35.   DOI   ScienceOn
19 Igbaria, M., Parasuraman, S., & Baroudi, J. J.(1996). A motivational model of microcomputer usage. Journal of Management Information Systems, 13(1), 127-143.   DOI
20 Keng, C., & Lin, H.(2006). Impact of telepresence levels on Internet advertising effects. Cyber Psychology & Behavior, 9(1), 82-94.   DOI   ScienceOn
21 Csikszentmihalyi, M.(1990). Flow: The psychology of optimal experience. New York: HarperCollins Publishers.
22 Kim, T., & Biocca, F.(1997). Telepresence via television: Two dimensions of telepresence may have different connections to memory and persuasion. Journal of Computer-Mediated Communication, 3(2). Retrieved from http://www.blackwellsynergy.com/doi/full/10.1111/j.1083-6101.1997.tb00073.x
23 Klein, L. R.(2003). Creating virtual product experiences: The role of telepresence. Journal of Interactive Marketing, 17(1), 41-55.   DOI   ScienceOn
24 Li, H., Daugherty, T., & Biocca, F.(2002). Impact of 3-D advertising on product knowledge, brand attitude, and purchase intention: The mediating role of presence. Journal of Advertising, 31(3), 43-57.   DOI   ScienceOn
25 Biocca, F.(1997). The cyborgs dilemma: Progress embodiment in virtual environments. Journal of Computer-Mediated Communication, 3(2). Retrieved from http://www.ascusc.org/jcmc/
26 Bitner, M. J.(1992). Servicescaptes: The impact of surroundings on customers and employees. Journal of Marketing, 56(2), 37-71.
27 Coyle, J. R., & Thorson, E.(2001). The effects of progressive levels of interactivity and vividness in Web marketing sites. Journal of Advertising, 30(3), 65-77.   DOI   ScienceOn
28 Csikszentmihalyi, M.(1977). Beyond boredom and anxiety. San Francisco: Jossey-Bass.
29 Dabholkar, P. A., & Bagozzi, R. P.(2002). An attitudinal model of technology-based self-service: Moderating effects of consumer traits and situational factors. Journal of the Academy of Marketing Science, 30(3), 184-201.   DOI
30 Dabholkar, P. A.(1994). Incorporating choice into an attitudinal framework: Analyzing models of mental comparison processes. Journal of Consumer Research, 21(1), 100-118.   DOI   ScienceOn
31 Daft, R. L., & Lengel, R. H.(1986). Organizational information requirements, media richness and structural design. Management Science, 32(5), 554-571.   DOI   ScienceOn
32 Davis, F. D., Bagozzi, R. P., & Warshaw, P. R.(1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.   DOI   ScienceOn
33 Davis, F. D., Bagozzi, R. P., & Warshaw, P. R.(1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology 22(14), 1111-1132.   DOI
34 Gefen, D., & Straub, D. W.(2004). Consumer trust in B2C e-Commerce and the importance of social presence: Experiments in e-Products and e-Services. Omega, 32(6), 407-424.   DOI   ScienceOn
35 Barlow, A. K. J., Siddiqui, N. Q., & Mannion, M. (2004). Developments in information and communication technologies for retail marketing channels. International Journal of Retail & Distribution Management, 32(3), 157-163.   DOI   ScienceOn
36 Ajzen, I., & Fishbein, M.(1980). Understanding attitudes and predicting social behavior. Englewood: Prentice-Hall.
37 Animesh, A., Pinsonneault, A., Yang, S.-B., & Oh, W.(2011). An odyssey into virtual worlds: Exploring the impacts of technological and spatial environments on intention to purchase virtual products. MIS Quarterly, 35(3), 789-810.   DOI
38 Bagozzi, R. P.(1981). Attitudes, intentions, and behavior: A test of some key hypotheses. Journal of Personality and Social Psychology, 41(4), 607-627.   DOI
39 Bentler, P. M., & Speckart, G.(1979). Models of attitude-behavior relations. Psychological Review, 86(5), 452-464.   DOI