Journal of the Korea Academia-Industrial cooperation Society (한국산학기술학회논문지)

The Korea Academia-Industrial cooperation Society (한국산학기술학회)
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The Effect of Social Influence on Users' Cognition, Flow, and Actual Usage in Web 2.0

웹 2.0 환경에서 사회적 영향이 사용자의 인지적 평가와 몰입, 사용수준에 미치는 영향

  • Moon, Yun-Ji (Division of Business Administration, Pusan National University) ;
  • Kim, Min-Sun (Department of Distribution Management, Hyupsung University) ;
  • Kim, Woo-Gon (Dedman School of Hospitatliy, Florida State University)
  • 문윤지 (부산대학교 경영학부) ;
  • 김민선 (협성대학교 유통경영학과) ;
  • 김우곤 (플로리다주립대학교 호텔경영학부)
  • Received : 2010.11.26
  • Accepted : 2010.12.17
  • Published : 2010.12.31
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Abstract

Using Technology Acceptance Model and flow theory as our foundation, this paper investigates the interrelationships among social influence, individual cognition, flow, and actual usage in the Web 2.0 environment. According to TAM, users evaluate perceived usefulness(PU) and ease of use(PEU) of information technology(IT) in accepting the innovative IT. Along with users' cognitive evaluation(i.e. PU and PEU), in case of UCC(user-created-contents), which is one of the representative Web 2.0 features, flow also has a significant effect on users' usage. Accordingly, the current study involve cognitive elements such as PU and PEU as well as flow of enjoyable state during using IT in exploring antecedents leading to UCC usage. On one hand, we consider the effect of social influence on users' cognition and flow toward actual usage because the more users creates Web contents, the more long-tail situation prevails on the Internet. Web 2.0 becomes a kind of social phenomena. The empirical results show that social influence affects positively both PU/PEU and flow. Users' cognitive evaluation and flow have positive impacts on users' UCC usage.

본 연구는 기술수용모형과 몰입 이론에 근거해서 웹 2.0 환경에서 사회적 영향요소가 개인의 인지와 몰입, 그리고 실제 사용성에 미치는 상호영향관계를 파악하고자 하였다. 혁신적인 정보기술을 수용함에 있어 사용자는 정보 기술을 특별한 추가 노력 없이 사용방법을 습득하여 자신의 업무나 목적에 유용하게 활용할 수 있을지 그 용이성과 유용성을 인지적으로 평가하게 된다. 또한 웹 2.0의 대표적 형태 가운데 하나인 UCC(user-created-contents)와 같은 정보기술에 있어서는 업무의 유용성과 더불어 사용자가 얼마만큼 즐겁게 웹 사이트를 활용할 수 있는지 그 몰입(flow) 역시 사용자의 향후 활용 수준에 영향을 주게 된다. 따라서 UCC 영역에서 사용자의 활용수준에 영향을 주는 요소로 용이성, 유용성과 같은 인지적 평가 요소와 몰입의 요소를 동시에 고려하고자 하였다. 한편, 본 연구는 일반 사용자에 의해 생산되는 컨텐츠가 주류를 이루는 롱테일 현상으로 일컬어지는 웹 2.0 환경에서는 이러한 사용자의 인지와 몰입이 사회적 영향에 민감할 수 있는 바, 사회적 영향을 요소 역시 연구모형에 포함시켜 연구모형을 분석하였다. 분석결과 사회적 영향은 인지된 유용성과 용이성 모두에 긍정적인 영향을 미치고 있었으며, 몰입에도 유의한 영향을 미치는 것이 밝혀졌다. 또한 개인의 인지적 평가와 몰입이 UCC 사용성에 미치는 영향에 있어서도 유의성과 용이성, 몰입이 모두 긍정적으로 사용자의 사용수준을 높이고 있음이 밝혀졌다.

Keywords

References

  1. Ajzen, I. and Fishbein, M., Understanding Attitudes and Predicting Social Behavior, Prentice-Hall, Englewood, NJ, 1980.
  2. Anderson, P., What is Web 2.0? Ideas, Technologies and Implications for Education. Joint Information Systems Committee, Retrieved from http://www.jisc.ac.ukmedia/documents/techwatch/tsw0701b.pdf, 2007.
  3. Bhattacherjee, A., "Understanding Information Systems Continuance: An Expectation-Confirmation Model", MIS Quarterly, Vol. 25, No. 3, 2001, pp. 351-370. https://doi.org/10.2307/3250921
  4. Chae, Z-H., Social Influence and Task-Technology Fit in Technology Acceptance: An Empirical Study of Users' Perception and Use Intent in m-Commerce. Unpublished Doctoral Thesis, Michigan State University, 2005.
  5. Davis, F.D., Bagozzi, R. and Warshaw, P.R., "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, Vol. 35, No. 8, 1989, pp. 982-1003. https://doi.org/10.1287/mnsc.35.8.982
  6. Fisher, R.J. and Price, L.L., "An Investigation into the Social Context of Early Adoption Behavior," Journal of Consumer Research, Vol. 19, No. 3, 1992, pp. 477-486. https://doi.org/10.1086/209317
  7. Fornell, C. and Larcker, D.F., "Evaluating Structural Equation Models with Unobservable Variables and Measurement Error," Journal of Marketing Research, Vol. 18, No. 1, 1981, pp. 39-40. https://doi.org/10.2307/3151312
  8. Fulk, J, Steinfield, J.S. and Power, G., "A Social Information Processing Model of Media in Organizations," Communication Research, Vol. 14, 1987, pp. 529-552. https://doi.org/10.1177/009365087014005005
  9. Ghani, J.A. and Deshpande, S., "Task Characteristics and the Experience of Optimal Flow in Human-computer Interaction," The Journal of Psychology, Vol. 128, 1994, pp. 381-391. https://doi.org/10.1080/00223980.1994.9712742
  10. Hong, W., Thong, J.Y.L. and Tam, K.Y., "Understanding Continued Information Technology Usage Behavior: A Comparison of Three Models in the Context of Mobile Internet," Decision Support Systems, Vol. 42, No. 3, 2006, pp. 1819-1834. https://doi.org/10.1016/j.dss.2006.03.009
  11. Lee, Y., Kozar, K.A. and Larsen, K.R.T., "The Technology Acceptance Model: Past, Present and Future," Communications of the Association for Information Systems, Vol. 12, 2003, pp. 752-780.
  12. Liao, C., Chen, J.L. and Yen, D.C., "Theory of Planning Behavior(TPB) and Customer Satisfaction in the Continued Use of e-Service: An Integrated Model," Computers in Human Behavior, Vol. 23, 2007, pp. 2804-2822. https://doi.org/10.1016/j.chb.2006.05.006
  13. Mathieson, K., "Predicting User Intentions: Comparing the Technology of Planned Behavior," Information Systems Research, Vol. 2, No. 3, 1991, pp.173-191. https://doi.org/10.1287/isre.2.3.173
  14. Markus, M.L., Toward a "Critical Mass" Theory of Interactive Media. In J. Fulk and C. Steinfield(eds.), Organizations and Communication Technology, pp. 194-218, Newbury Park, CA: Sage, 1990.
  15. Mollen, A. and Wilson, H., "Engagement, Telepresence and Interactivity in Online Consumer Experience: Reconciling Scholastic and Managerial Perspectives," Journal of Business Research, Vol. 63, 2010, pp.919-925. https://doi.org/10.1016/j.jbusres.2009.05.014
  16. Moore, G.C. and Benbasat, I., "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, Vol. 2, No. 3, 1991, pp. 192-222. https://doi.org/10.1287/isre.2.3.192
  17. Moorman, C., Genrald, Z. and Rohit, D., "Relationship between Providers and Users of Marketing Research: The Dynamics of Trust within and between Organization," Journal of Marketing Research, Vol. 29, 1992, pp. 314-329. https://doi.org/10.2307/3172742
  18. Mowday, R.T., Porter, L.W. and Dubin, R., "Unit Performance Situational Factors and Employee Attitudes in Spatially Separated Work Units," Organizational Behavior and Human Performance, Vol. 12, 1974, pp. 231-248. https://doi.org/10.1016/0030-5073(74)90048-8
  19. Newcomb, M.D. and Bentler, P.M., "Loneliness and Social Support: A Confirmatory Hierarchical Analysis," Personality and Social Psychology, Vol. 12, No. 4, 1986, pp. 520-535. https://doi.org/10.1177/0146167286124015
  20. Novak, T.P., Hoffman, D.L. and Yung, Y-E., "Measuring the Customer Experience in Online Environments: A Structural Modeling Approach," Marketing Science, Vol. 19, 2000, pp. 22-42. https://doi.org/10.1287/mksc.19.1.22.15184
  21. Rice, R.E. and Shook, D., "Relationships of Job Categories and Organizational Levels to Use of Communication Channels, Including Electronic Mail: A Meta-analysis and Extension," Journal of Management Studies, Vol. 27, 1990, pp. 195-229. https://doi.org/10.1111/j.1467-6486.1990.tb00760.x
  22. Rogers, E.M., Diffusion of Innovations, 3rd edition, Free Pass (MacMillan Publishing), NY, 1983.
  23. Shore, L.M. and Tetrick, L.E., "A Construct Validity Study of Survey and Survey of Perceived Organizational Support," Journal of Applied Psychology, Vol. 75, No. 5, 1991, pp. 637-643.
  24. Shore, L.M. and Wayne, S.J., "Commitment and Employee Behavior: Comparison of Affective and Continuance Commitment with Perceived Organizational Support," Journal of Applied Psychology, Vol. 78, No. 8, 1993, pp. 774-780. https://doi.org/10.1037/0021-9010.78.5.774
  25. Trevino, L.K. and Webster, J., "Flow in Computer-mediated Communication," Communication Research, Vol. 19, 1992, pp. 539-573. https://doi.org/10.1177/009365092019005001
  26. Venkatesh, V. and Davis, F.D., "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, Vol. 24, No. 2, 2000, pp. 451-481.
  27. Warshaw, P.R, "A New Model for Predicting Behavioral Intentions: An Alternative to Fishbein," Journal of Marketing Research, Vol. 17, 1980, pp. 153-172. https://doi.org/10.2307/3150927
  28. Yim, C.K., Chan, K.W. and Hung, K., "Multiple Reference Effects in Service Evaluations: Roles of Alternative Attractiveness and Self-image Confruity," Journal of Retailing, Vol. 83, No. 1, 2007, pp. 147-157. https://doi.org/10.1016/j.jretai.2006.10.011