바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

메뉴

논문 상세

지각된 통제감이 제품 웹사이트에 대한 태도에 미치는 영향: 감정적 반응과 웹사이트 진단가능성의매개적 역할을 중심으로

Untangling the Way Perceived Control Influences Attitude toward the Website (Aws): The Mediating Roles of Emotion and Perceived Diagnosticity

초록

본 연구는 온라인 쇼핑 시 제품을 탐색하는 과정에서 소비자가 지각하는 통제감(perceived control)이 해당 제품 사이트에 대한 소비자의 평가에 미치는 영향을 실증적으로 살펴보고자 하였다. 구체적으로, 상호작용적인 3D 제품인터페이스를 통해 소비자가 지각하는 통제감은 감정적 반응(즐거움과 각성)과 웹사이트 진단가능성(perceived diagnosticity)을 매개로 하여 직, 간접적으로 제품 사이트에 대한 호의적인 태도를 이끌어낸다는 논제를 제시하고 이를 구조방정식모델을 이용하여 분석하였다. 분석결과, 통제감이 높다고 지각하는 경우 소비자는 웹사이트에 대해 더 긍정적인 평가를 내리고 있으며, 이러한 통제감의 영향력은 즐거움과 진단가능성을 통해 완전 매개(fully mediated)되는 것으로 나타났다. 통제감은 웹사이트에 대한 태도에 직접적으로 영향을 미치지는 않는 것으로 나타났으며, 매개변인으로서 각성의 역할 역시 통계적으로 유의미하지 않았다. 온라인 쇼핑환경에서 소비자들이 인식하는 통제감이 주요 마케팅 변수와 밀접하게 관련되어 있음을 보여주는 본 연구의 결과는 온라인 마케터들이 소비자가 느끼는 통제감을 높이는데 더 많은 노력을 경주해야 함을 시사한다.

keywords
지각된 통제감, 사이트에 대한 태도(Aws), 감정반응, 웹사이트 진단가능성, perceived control, attitude toward the website (Aws), emotional responses, perceived diagnosticity

Abstract

This study investigates whether and how perceptions of control in an online shopping environment affect consumer responses to a product website. Specifically, the perception of control elicited by an interactive 3D product interface is predicted to foster a positive consumer attitude toward the website (Aws) both directly and indirectly through user emotional responses (i.e., pleasure and arousal) and the perceived diagnosticity of the website as a product evaluation tool. Structural equation modeling with latent composites indicates that perceived control was positively associated with Aws and notably, the influence of perceived control on Aws was completely mediated via pleasure and perceived diagnosticity. The mediating role of arousal, however, was not supported. Findings suggest that online marketers should put more effort into increasing perceptions of customer control since these perceptions are strongly related to outcomes that have critical importance for marketers.

keywords
perceived control, attitude toward the website (Aws), emotional responses, perceived diagnosticity

참고문헌

1.

Aaker, D. A., Stayman, D. M., & Hagerty, M. R. (1986). Warmth in advertising: measurement, impact and sequence effects. Journal of Consumer Research, 12(4), 365-381.

2.

Ariely, D. (2000). Controlling the information flow: Effects on consumers' decision making and preferences. Journal of Consumer Research, 27(2), 233-248.

3.

Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: Measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 20(4), 644-656.

4.

Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182.

5.

Batra, R., & Ahtola, O. T. (1990). Measuring the hedonic and utilitarian sources of consumer attitudes. Marketing Letters, 2(2), 159-170.

6.

Batra, R., & Ray, M. L. (1986). Affective responses mediating acceptance of advertising. Journal of Consumer Research, 13(2), 234-249.

7.

Bilgihan, A, Kandampully, J., & Zhang, T. (2016). Towards a unified customer experience in online shopping environments: Antecedents and outcomes. International Journal of Quality and Service Sciences, 8(1), 102-119.

8.

Bruner II, G. C., & Kumar, A. (2000). Web commercials and advertising hierarchy of effects. Journal of Advertising Research, 40(1/2), 35-44.

9.

Burke, M. C., & Edell, J. A. (1989). The impact of feelings on ad-based affect and cognition. Journal of Marketing Research, 26(1), 69-83.

10.

Chen, Q., & Wells, W. D. (1999). Attitude toward the site. Journal of Advertising Research, 39(5), 27-37.

11.

Childers, T. L., Carr, C. L., Peck, J., & Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing, 77(4), 511-535.

12.

Coffman, D. L., & MacCallum, R. C. (2005). Using parcels to convert path analysis models into latent variable models. Multivariate Behavioral Research, 40(2), 235-259.

13.

Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. New York: Harper and Row.

14.

Cyr, D., Head, M., & Ivanov, A. (2009). Perceived interactivity leading to e-loyalty: Development of a model for cognitive-affective user responses. International Journal of Human- Computer Studies, 67(10), 850-869.

15.

Dabholkar, P. A., & Sheng, X. (2009). The role of perceived control and gender in consumer reactions to download delays. Journal of Business Research, 62, 756-760.

16.

Daugherty, T., Li, H., & Biocca, F. (2008). Consumer learning and the effects of virtual experience relative to indirect and direct product experience. Psychology and Marketing, 25(7), 568-586.

17.

Deighton, J., & Kornfeld, L. (2009). Interactivity's unanticipated consequences for marketers and marketing. Journal of Interactive Marketing, 23(1), 4-10.

18.

Dhar, R., & Wertenbroch, K. (2000). Consumer choice between hedonic and utilitarian goods. Journal of Marketing Research, 37(1), 60-71.

19.

Edell, J. A., & Burke, M. C. (1987). The power of feelings in understanding advertising effects. Journal of Consumer Research, 14(3), 421-433.

20.

Fiore, A. M., Jin, H.-J., & Kim, J. (2005). For fun and profit: Hedonic value from image interactivity and responses toward an online store. Psychology and Marketing, 22(8), 669-694.

21.

Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.

22.

Godek, J., & Yates, J. F. (2005). Marketing to individual consumers online: The influence of perceived control. In C. P. Haugtvedt, K. A. Machleit & R. Yalch (Eds.), Online consumer psychology: Understanding and influencing consumer behavior in the virtual world (pp. 225-244). Mahwah, NJ: Lawrence Erlbaum Associates.

23.

Haubl, G., & Trifts, V. (2000). Consumer decision making in online shopping environments: The effects of interactive decision aids. Marketing Science, 19(1), 4-21.

24.

Havlena, W. J., & Holbrook, M. B. (1986). The varieties of consumption experience: Comparing two typologies of emotion in consumer behavior. Journal of Consumer Research, 13(3), 394-404.

25.

Hirschman, E. C., & Holbrook, M. B. (1982). Hedonic consumption: Emerging concepts, methods and propositions. Journal of Marketing, 46(3), 92-101.

26.

Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing, 60(3), 50-68.

27.

Hoffman, D. L., Novak, T. P., & Schlosser, A. E. (2003). Locus of control, web use, and consumer attitudes toward internet regulation. Journal of Public Policy & Marketing, 22(1), 41-57.

28.

Holbert, R. L., & Stephenson, M. T. (2002). Structural equation modeling in the communication sciences, 1995-2000. Human Communication Research, 28(4), 531-551.

29.

Holbrook, M. B., & Batra, R. (1987). Assessing the role of consumer responses to advertising. Journal of Consumer Research, 14(3), 404-419.

30.

Hu, L.-t., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55.

31.

Hui, M. K., & Bateson, J. E. G. (1991). Perceived control and the effects of crowding and consumer choice on the service experience. Journal of Consumer Research, 18(2), 174-184.

32.

Huizingh, E. K. (2000). The content and design of web sites: An empirical study. Information & Management, 37(3), 123-134.

33.

Jee, J., & Lee, W.-N. (2002). Antecedents and consequences of perceived interactivity: An exploratory study. Journal of Interactive Advertising, 3(1), 34-45.

34.

Jiang, Z., & Benbasat, I. (2005). Virtual product experience: Effects of visual and functional control of products on perceived diagnosticity and flow in electronic shopping. Journal of Management Information Systems, 21(3), 111-147.

35.

Jiang, Z., & Benbasat, I. (2007). Investigating the influence of the functional mechanisms of online product presentations. Information Systems Research, 18(4), 454-470.

36.

Kamis, A., Stern, T., & Ladik, D. M. (2010). A flow-based model of web site intentions when users customize products in business-to- consumer electronic commerce. Information Systems Frontiers, 12(2), 157-168.

37.

Keeney, R. L. (1999). The value of Internet commerce to the customer. Management Science, 45(4), 533-542.

38.

Kempf, D. S., & Smith, R. E. (1998). Consumer processing of product trial and the influence of prior advertising: A structural modeling approach. Journal of Marketing Research, 35(3), 325-338.

39.

Klimmt, C., Hartmann, T., & Frey, A. (2007). Effectance and control as determinants of video game enjoyment. Cyberpsychology & Behavior, 10(6), 845-847.

40.

Lee, K.-Y. (2012). Consumer processing of virtual experience in e-commerce: A test of an integrated framework. Computers in Human Behavior, 28, 2134-2142.

41.

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.

42.

Liu, Y. (2003). Developing a scale to measure the interactivity of websites. Journal of Advertising Research, 43(2), 207-216.

43.

Liu, Y., & Shrum, L. J. (2002). What is interactivity and is it always such a good thing? Implications of definition, person, situation for the influence of interactivity on advertising effectiveness. Journal of Advertising, 31(4), 53-64.

44.

Mahrabian, A., Wihardja, C., & Ljunggren, E. (1997). Emotional correlates of preferences for situation-activity combinations in everyday life. Genetic, Social, and General Psychology Monographs, 123(4), 461-477.

45.

Mano, H., & Oliver, R. L. (1993). Assessing the dimensionality and structure of the consumption experience: Evaluation, feeling, and satisfaction. Journal of Consumer Research, 20(3), 451-466.

46.

McMillan, S. J., & Hwang, J.-S. (2002). Measures of perceived interactivity: An exploration of the role of direction of communication, user control, and time in shaping perceptions of interactivity. Journal of Advertising, 31(3), 29-42.

47.

McMillan, S. J., Hwang, J.-S., & Lee, G. (2003). Effects of structural and perceptual factors on attitude toward the website. Journal of Advertising Research, 43(4), 400-409.

48.

Olney, T. J., Holbrook, M. B., & Batra, R. (1991). Consumer responses to advertising: The effects of ad content, emotions, and attitude toward the ad on viewing time. Journal of Consumer Research, 17(4), 440-453.

49.

Pavlou, P. A., & Stewart, D. W. (2000). Measuring the effects and effectiveness of interactive advertising: A research agenda. Journal of Interactive Advertising, 1(1), 61-77.

50.

Rodgers, S., & Thorson, E. (2000). The interactive advertising model: How users perceive and process online ads. Journal of Interactive Advertising, 1(1), 41-60.

51.

Schlosser, A. E. (2003). Experiencing products in the virtual world: The role of goal and imagery in influencing attitudes versus purchase intention. Journal of Consumer Research, 30(2), 184-198.

52.

Schlosser, A. E. (2006). Learning through virtual product experience: The role of imagery on true versus false memories. Journal of Consumer Research, 33(3), 377-383.

53.

Seo, K.-K., Lee, S., Chung, B. D., & Park, C. (2015). Users' emotional valence, arousal, and engagement based on perceived usability and aesthetics for web sites. International Journal of Human-Computer Interaction, 31(1), 72-87.

54.

Singh, S. N., & Dalal, N. P. (1999). Web home pages as advertisements. Communications of the ACM, 42(8), 91-98.

55.

Song, J. H., & Zinkhan, G. M. (2008). Determinants of perceived web site interactivity. Journal of Marketing, 72(2), 99-113.

56.

Stephenson, M. T., & Holbert, R. L. (2003). A Monte Carlo simulation of observable versus latent variable structural equation modeling techniques. Communication Research, 30(3), 332-354.

57.

Wang, E. S.-T. (2010). The effects of browsing frequency and gender on the relationship between perceived control and patronage intentions in E-tail. International Journal of Electronic Commerce, 14(3), 129-144.

58.

Ward, J. C., & Barnes, J. W. (2001). Control and affect: The influence of feeling in control of the retail environment on affect, involvement, attitude, and behavior. Journal of Business Research, 54(2), 139-144.

59.

Wu, G. (2005). The mediating role of perceived interactivity in the effect of actual interactivity on attitude toward the website. Journal of Interactive Advertising, 5(2), 29-39.

60.

Yoo, C. Y., & Stout, P. A. (2001). Factors affecting users' interactivity with the web site and the consequences of users' interactivity. Proceedings of the 2001 Conference of the American Academy of Advertising, 53-60.

61.

Yoon, S.-Y., Laffey, J., & Ho, H. (2008). Understanding usability and user experience of web-based 3D graphics technology. International Journal of Human-Computer Interaction, 24(3), 288-306.

logo