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지표 적합도 분석을 통한 웹 사이트 신뢰성 평가 지표 개발에 관한 연구

Development of Indicators for Evaluating the Web Credibility by Goodness-of-fit Analysis

  • 발행 : 2008.12.31

초록

본 연구에서는 선행연구의 연구 성과에 기초하여 웹정보의 신뢰성 평가에 영향을 미치는 요인들을 포괄적으로 추출한 다음, 이를 전문가를 대상으로 한 지표적합도 조사를 통해 웹 사이트의 신뢰성 평가지표의 개발을 시도하였다. 선행 연구에서 제시된 국외 54개, 국내 49개의 웹 신뢰성 평가요인을 부분적으로 축소하거나 통합하였으며, 아울러 웹 사이트의 신뢰성을 높이거나 떨어뜨리는 요인을 일부 분석에 추가한 다음, 웹정보신뢰성 평가지표 적합성 조사를 통해 웹정보 신뢰성 평가지표를 선정하고 계층화하였다. 이러한 과정을 통해 웹 신뢰성 평가에 영향을 미치는 1차 지표로서 웹사이트 신뢰성의 평가영역을 진실성 요인과 전문성 요인, 그리고 안전성 요인으로 나누었으며, 2차 지표로 진실성 요인을 믿음성과 명성으로, 전문성 요인을 유용성과 시의성, 그리고 경쟁력으로, 안전성 요인을 보안성과 안정성으로 나누었으며, 최종적으로 각 하위 요인별 네 개씩 모두 28개의 세부 요인을 추출하였다. 이렇게 개발된 평가지표를 소수의 전문가들을 대상으로 자기분야의 웹 사이트를 중심으로 한 지표 적합도 조사를 통한 검증과정을 거쳤다.

The Internet is now an integral part of the everyday lives of a majority of people. Web users are demanding web sites that offer credible information. This study tired to comprehensively extract the factors that affect the perception web credibility based on preceding researches and develop of indicators for evaluating the web credibility by goodness-fit analysis. I modified more than 100 factors which presented by preceding researches to 28 factors, and allocated these factors into the hierarchical categories like followings; trustworthiness, expertness, safety are categorized as first level factors, trustfulness and reputation are placed to sub-factors of trustworthiness, usefulness, timeliness and competency to sub-factors of expertness, security and reliability to sub-factors of safety as second level factors. Finally this study developed evaluating indicators for web credibility by goodness-of fit analysis.

키워드

참고문헌

  1. 김영기. 2007a. 웹 사이트의 신뢰성 평가에 영향을 미치는 요인과 각 요인의 중요도에 관한 연구. 한국문헌정보학회지, 41(4): 93-111
  2. 김영기. 2007b. 이용자들의 웹 사이트 신뢰성 평가 방법에 관한 연구. 한국도서관.정보학회지, 38(3): 53-72
  3. 김영기. 2006. 지식트러스트 센터(Knowledge Trust Center) 구축, 최두진 등, 유비쿼터스 사회의 지식, 참여, 그리고 생활. 한국정보문화진흥원 연구보고서(06-18),37-53
  4. 최학열. 디지털 자료를 장기 보존하기 위한 국제표준. ITFIND 주간기술동향. vol.1270.. [cited 2008.6.19]
  5. American Library Association. 1992. “Reference Collection Development and Evaluation Committee." Reference Collection Development: a manual. Chicago: American Library association, Reference and Adult Services Division
  6. Barker, Joe. Evaluating Web Pages: Techniques to Apply & Questions to Ask (UC Berkeley - Teaching Library Internet Workshops). . [cited 2008.6.19]
  7. Bell, Colleen. Critical Evaluation of Information Sources. . [cited 2008.6.19]
  8. Benoy, J. W. 1982. “The credibility of physically attractive communicators: Areview." Journal of Advertising, vol.11, no.3. pp.15-24 https://doi.org/10.1080/00913367.1982.10672807
  9. Berkeley. 2004. How Much Information 2000/2003. .[cited 2007.7.10]
  10. Berscheid, E. 1981. “A review of the psychological effects of physical attractiveness."G. W. Lucker, K. A. Ribbens,and J. A. McNamara(Eds.), Psychological Aspects of Facial Form (pp.1-23). Ann Arbor, MI: Center for Human Growth
  11. Berscheid, E. and E. Walster. 1974. “Physical attractiveness.” L. Berkowitz(Ed.) Advances in Experimental Social Psychology. vol.7(1974); 157-215. New York: Academic Press, 1974
  12. Cheskin Research & Studio Archetype Sapient. 1999. “E-commerce Trust Study.”. [cited 2007.7.10]
  13. Cheskin Research. 2000. “Trust in the Wired Americas.” Online at.. [cited 2007.7.10]
  14. Cockburn, A., and B. McKenzie. 2001. “What do web users do? An empirical analysis of web use.” International Journal of Human-Computer Studies, 54(6):903-922 https://doi.org/10.1006/ijhc.2001.0459
  15. Dion, K. K., E. Berscheid, and E. Walster. 1972. “What is beautiful is good.”Journal of Personality and Social Psychology, 24: 285-290 https://doi.org/10.1037/h0033731
  16. Eagly, A. H., R. D. Ashmore, M. G.Makhijani, and L. C. Longo. 1991. “What is beautiful is good, but ...: Ameta-analytic review of research on the physical attractiveness stereotype.” Psychological Bulletin, 110: 109-128 https://doi.org/10.1037/0033-2909.110.1.109
  17. Egger, F. N. 2000. “Trust Me, I'm an Online Vendor: Towards a Model of Trust for E-Commerce System Design.” In: G. Szwillus & T. Turner(Eds.): CHI 2000 Extended Abstracts: Conference on Human Factors in Computing Systems, The Hague(NL), April 1-6, 2000: 101-102, ACM Press
  18. Expert Choice Korea. Expert Choice. p.3.
  19. Finberg, H., H. Stone, and D. Lynch. 2001. Digital Journalism Credibility Study, Available at.. [cited 2007.7.10]
  20. Fogg, B. J. and H. Tseng. 1999. “The Elements of Computer Credibility.” Proceedings of ACM CHI 99 Conference on Human Factors in Computing Systems. 1: 80-87. New York: ACM Press. . [cited 2008.6.19]
  21. Fogg, B. J. 2002. Prominence-Interpretation Theory: Explaining How People Assess Credibility. A Research Report by the Stanford Persuasive Technology Lab. Available at. . [cited 2007.7.10]
  22. Fogg, B. J. 2002. Stanford Guidelines for Web Credibility. A Research Summary from the Stanford Persuasive Technology Lab. Stanford University, 2002.. [cited 2007.7.10]
  23. Fogg, B. J., T. Kameda, J. Boyd, J. Marshall, R. Sethi, M. Sockol, and T. Trowbridge. 2002. “Stanford-Makovsky Web Credibility Study 2002: Investigating what makes Web sites credible today." A Research Report by the Stanford Persuasive Technology Lab in collaboration with Makvosky & Company. Stanford University. Available at.. [cited 2007.7.10]
  24. Fogg, B. J., E. Lee. and J. Marshall. 2002. “Interactive Technology and Persuasion." In J. P. Dillard and M. Pfau(Eds.), The Persuasion Handbook: Developments in Theory and Practice. pp.765-788. Thousand Oaks, CA: Sage
  25. Fogg, B. J., J. Marshall, O. Laraki, A. Osipovich, C. Varma, N. Fang, J Paul, A. Rangnekar, J. Shon, P. Swani, and M. Treinen. 2000. “Elements that Affect Web Credibility: Early Results from a Self-Report Study." Proceedings of ACM CHI 2000 Conference on Human Factors in Computing Systems. New York: ACM Press. Extended Abstracts(pp.295-296). New York ACM Press https://doi.org/10.1145/633292.633460
  26. Gatignon, H. and T. S. Robertson. 1991. “Innovative Decision Processes." T.S. Robertson & H. H. Kassarjian(Eds.), Handbook of Consumer Behavior. Englewood Cliffs, NJ: Prentice-Hall
  27. Harris, Robert. Evaluating Internet Research Sources(Version Date: June 15, 2007) . [cited 2008.6.19]
  28. Iowa State Univ. Library. Evaluating Information on the Web. . [cited 2008.6.19]
  29. Kim, J. and J. Y. Moon. 1998. “Designing Emotional Usability in Customer Interfaces - Trustworthiness of Cyberbanking System Interfaces." Interacting with Computers, 10: 1-29 https://doi.org/10.1016/S0953-5438(97)00037-4
  30. Lee, J., J. Kim, and J. Y. Moon. 2000. “What makes Internet users visit cyber stores again? Key design factors for customer loyalty." Proceedings of the Conference on Human Factors in Computing Systems CHI 2000(pp.305-312). New York: ACM https://doi.org/10.1145/332040.332448
  31. Lohse, G.L. and P. Spiller. 1998. “Electronic shopping." Communications of the ACM, 41(7): 81-87 https://doi.org/10.1145/278476.278491
  32. Nielsen, J., R. Molich, C. Snyder, and S. Farrell. 2000. “E-commerce user experience Trust." Fremont, CA Nielsen Norman Group
  33. Olson, J. S. and G. M. Olson. 2000. “i2i trust in e-commerce." Communications of the ACM, 43(12): 41-44 https://doi.org/10.1145/355112.355121
  34. Phillips, M. Critical Evaluation of Resources. . [cited2008.6.19]
  35. Princeton Survey Research Associates. 2002. A Matter of Trust: What Users Want From Web Sites. Results of a National Survey of Internet Users for Consumer Web Watch. Available online at. . [cited 2007.7.10]
  36. Schroeder, Ray. Evaluating Online Resources Notebook(meta-site on validating online resources. . [cited 2008.6.19]
  37. Self, C. S. 1996. “Credibility." In M. Salwen & D. Stacks(Eds.), An Integrated Approach to Communication Theory and Research. Mahway, NJ: Erlbaum
  38. Shelat, B. and F. N. Egger. 2002. “What makes people trust online gambling sites?" Proceedings of Conference on Human Factors in Computing Systems CHI 2002, Extended Abstracts, pp.852-853. New York https://doi.org/10.1145/506443.506631
  39. Smith, Alastair. Evaluation of information sources (a part of the Information Quality WWW Virtual Library). . [cited 2008.6.19]
  40. Standler, Ronald B. “Evaluating Credibility of Information on the Internet." . [cited2007.7.10]
  41. Stanford Persuasive Technology Lab and Makovsky & Company. 2002. Stanford-Makovsky Web Credibility Study -Investigating what makes Web sites credible today. . [cited 2008.6.19]
  42. Stanford web Credibility Research, “Stanford web Credibility Research." . [cited2007.7.10]
  43. Stiff, J. 1994. Persuasive Communication. New York: Guilford

피인용 문헌

  1. Confidence Indicators and Evaluation Factors of Credibility According to the Types of Online Information vol.27, pp.1, 2010, https://doi.org/10.3743/KOSIM.2010.27.1.007