Influencing Factors on Knowledge Adoption of Administrator in an Online Idea Proposal Community: Focusing on the Tourism Idea Bank of Korea Tourism Organization

온라인 아이디어 제안 커뮤니티에서 담당자 지식수용에 영향을 미치는 요인: 한국관광공사 관광아이디어뱅크 게시판을 중심으로

  • 박종원 (연세대학교 정보대학원) ;
  • 구철모 (경희대학교 컨벤션경영학과) ;
  • 양성병 (경희대학교 경영학과)
  • Received : 2016.08.17
  • Accepted : 2016.09.12
  • Published : 2016.10.28


Recently, although many government agencies, including the Korea Tourism Organization, have been operating two-way interactive online idea proposal communities in order to reflect the various ideas of citizens in business, the utilization rate is still extremely low due to the lack of public's understandings and management's commitments. Therefore, based on previous studies on the characteristics of information quality, this research (1) derives key factors constituting idea quality in the context of online idea proposal communities, (2) classifies them into the content cues (value-added, relevancy, originality, and completeness) and the non-content cue (amount of writing) according to the heuristic-systematic model, and (3) finally validates how these content/non-content cues influence the knowledge adoption of administrators in an online idea proposal community. The findings of the structural equation modeling analysis with all of the 240 completed idea proposals in the 'Tourism Idea Bank' of Korea Tourism Organization reveal that, among content cues, value-added, relevancy, and originality have a significant effect on knowledge adoption. Moreover, it is also found that amount of writing as a non-content cue has a positive moderation effect on the relationships between originality and knowledge adoption.


Idea Quality;Knowledge Adoption;Heuristic-Systematic Model;Online Idea Proposal Community;Tourism Idea Bank;Korea Tourism Organization


Supported by : 한국연구재단


  1. 이경영, 양성병, "제3자 온라인 게임 사용자 커뮤니티에서 개발자 지식수용에 영향을 미치는 요인에 대한 탐색적 연구," 한국컴퓨터게임학회논문지, 제26권, 제1호, pp.37-46, 2013.
  3. 정동훈, "웹 2.0 특성에 따른 정부부처 웹페이지 평가," 사이버커뮤니케이션학보, 제27권, 제4호, pp.209-255, 2010.
  4. 정진임, 김유승, "정부3.0 시대, 정보공개시스템의 개선 과제," 한국기록학연구, 제39호, pp.45-72, 2014.
  5. 차영란, "정부정책의 신뢰도 제고를 위한 SNS 활용 PR 전략," 한국콘텐츠학회논문지, 제13권, 제5호, pp.103-116, 2013.
  6. Y. Wang, Q. Yu, and D. R. Fesenmaier, "Defining the Virtual Tourist Community: Implications for Tourism Marketing," Tourism Management, Vol.23, No.4, pp.407-417, 2002.
  7. 김재훈, 윤정선, "국내 과학자 온라인 커뮤니티 활성화를 위한 소셜 네트워크 서비스 적용 방안에 관한 연구," 한국콘텐츠학회 종합학술대회논문집, pp.545-547, 2010.
  8. S. Chaiken, "Heuristic versus Systematic Information Processing and the Use of Source versus Message Cues in Persuasion," Personality and Social Psychology, Vol.39, No.5, pp.752-766, 1980.
  10. R. Y. Wang and D. M. Strong, "Beyond Accuracy: What Data Quality Means to Data Consumers," Journal of Management Information Systems, Vol.12, No.4, pp.5-33, 1996.
  11. S. A. Knight and J. M. Burn, "Developing a Framework for Assessing Information Quality on the World Wide Web," Informing Science Journal, Vol.8, No.5, pp.159-172, 2005.
  12. D. M. Strong, Y. W. Lee, and R. Y. Wang, "10 Potholes in the Road to Information Quality," IEEE Computer, Vol.30, No.8, pp.38-46, 1997.
  13. D. M. Strong, Y. W. Lee, and R. Y. Wang, "Data Quality in Context," Magazine Communications of the ACM, Vol.40, No.5, pp.103-110, 1996.
  14. P. Katerattanakul and K. Siau, "Measuring Information Quality of Web Sites: Development of an Instrument," Proceedings of the 20th International Conference on Information Systems(ICIS), pp.279-285, 1999.
  15. Y. W. Lee, D. M. Strong, B. K. Kahn, and R. Y. Wang, "AIMQ: A Methodology for Information Quality Assessment," Information and Management, Vol.40, No.2, pp.133-146, 2002.
  16. B. K. Kahn, D. M. Strong, and R. Y. Wang, "Information Quality Benchmarks: Product and Service Performance," Communications of the ACM, Vol.45, No.4, pp.184-192, 2002.
  17. B. D. Klein, "When Do Users Detect Information Quality Problems on the World Wide Web?," Proceedings of AMCIS, pp.152-155, 2002.
  18. L. L. Pipino, Y. W. Lee, and R. Y. Wang, "Data Quality Assessment," Communications of the ACM, Vol.45, No.4, pp.211-218, 2002.
  19. L. Liu and L. N. Chi, "Evolutional Data Quality: A Theory-Specific View," Proceedings of the Seventh International Conference on Information Quality, pp.292-304, 2002.
  20. N. Agarwal and Y. Yiliyasi, "Information Quality Challenges in Social Media," International Conference on Information Quality, 2010.
  21. 이대희, 노현숙, "아이디어 표현 이분법에 대한 새로운 접근," 경영법률, Vol.23, No.2, pp.617-657, 2013.
  22. W. Zhang and S. A. Watts, "Capitalizing on Content: Information Adoption in Two Online Communities," Journal of Association for Information Systems, Vol.9, No.2, 2008.
  23. 김창호, 황의록, "구전정보의 특성과 구전효과의 관계," 광고연구, Vol.35, pp.55-77, 1997.
  24. B. H. Wixom and P. A. Todd, "A Theoretical Integration of User Satisfaction and Technology Acceptance," Information Systems Research, Vol.16, No.1, pp.85-102, 2005.
  25. R. Filieri and F. McLeay, "E-WOM and Accommodation: An Analysis of the Factors That Influence Travelers' Adoption of Information from Online Reviews," Travel Research, Vol.53, No.1, pp.44-57, 2013.
  26. F.Q. Fu, E. Jones, and W. Bolander, "Product Innovativeness, Customer Newness, and New Product Performance: A Time-Lagged Examination of the Impact of Salesperson Selling Intentions on New Product Performance," Journal of Personal Selling & Sales Management, Vol.28, No.4, pp.351-364, 2008.
  27. Q. Wang, S. Dacko, and M. Gad, "Factors Influencing Consumers' Evaluation and Adoption Intention of Really-New Products or Services: Prior Knowledge, Innovativeness and Timing of Product Evaluation," Advances in Consumer Research, Vol.35, pp.416-422, 2008.
  28. A. Majchrzak, C. Wagner, and D. Yates, "The Impact of Shaping on Knowledge Reuse for Organizational Improvement with Wikis," MIS Quarterly, Vol.37, No.2, pp.455-470, 2013.
  29. G. Yin, L. Wei, W. Xu, and M. Chen, "Exploring Heuristic Cues for Consumer Perceptions of Online Reviews Helpfulness: The Case of," Proceedings of PACIS, 2014.
  30. 박현희, 전중옥, "온라인 양면구전의 구성요인에 관한 내용분석," 한국콘텐츠학회논문지, 제15권, 제8호, pp.53-68, 2015.
  33. T. Biemann, M. S. Cole, and S. Voelpel, "Within-group agreement: On the use (and misuse) of rWG and rWG(J) in leadership research and some best practice guidelines," The Leadership Quarterly, Vol.23, No.1, pp.66-80, 2012.
  34. J. M. LeBreton and J. L. Senter, "Answers to 20 questions about interrater reliability and interrater agreement," Organizational Research Methods, Vol.11, No.4, pp.815-852, 2008.
  35. European Commission, Evaluating EU Expenditure Programmes, European Communities, 1997.
  36. S. W. Sussman and W. S. Siegal, "Informational Influence in Organizations: An Integrated Approach to Knowledge Adoption," Information Systems Research, Vol.14, No.1, pp.47-65, 2003.
  37. W. W. Chin, "The Partial Least Squares Approach to Structural Equation Modeling," Modern Methods for Business Research, Vol.295, No.2, pp.295-336, 1998.
  38. J. C. Nunnally, Psychometric Theory, New York: McGraw-Hill, 1978.
  39. C. Fornell and D. F. Larcker, "Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics," Journal of Marketing Research, Vol.18, No.3, pp.382-388, 1981.
  40. R. P. Bagozzi, Y. Yi, and L. W. Phillips, "Assessing Construct Validity in Organizational Research," Administrative Science Quarterly, Vol.36, No.3, pp.421-458, 1991.
  41. N. Korfiatis, E. García-Bariocanal, and S. Sánchez-Alonso, "Evaluating Content Quality and Helpfulness of Online Product Reviews: The Interplay of Review Helpfulness vs. Review Content," Electronic Commerce Research and Applications, Vol.11, No.3, pp.205-217, 2012.
  42. 김수도, 조환규, "온라인 게시글의 조회수 분석을 통한 인기도 예측," 한국콘텐츠학회논문지, 제12권, 제4호, pp.40-51, 2012.