A Study on the Effects of Technology Acceptance and Economic Factors on the Loyalty of Power Bloggers

파워 블로거들의 충성도를 결정하는 기술수용 및 경제적 요인에 관한 연구

  • Published : 2009.11.30

Abstract

Power bloggers have become one of the most important resources of blog service companies, and only those who attract and secure power bloggers will be able to have competitive edge and profitability in blog related businesses. This study examines the effects of technology acceptance factors and economical factors on the loyalty of power bloggers. The analysis results show that the usefulness, power of social influence and enjoyment positively affect the attitude and intention to continuous use. The relationship between the attitude and intention to continuous use is demonstrated as significant. The economical benefit exhibits weakly positive influence on the attitude to blogging, but not on the intention. This indicates that although many power bloggers receive economic benefits through their blogging activities, such economical benefits do not have big impact on their activities and the intention to use. The blog service providers may use the analysis results when developing new blog services. In particular, the usefulness, which is often considered as one of the most important factors in the success of the blogosphere, is found to have less impact than the enjoyment among power bioggers. This is because blog users, especially power bloggers, use the blog not for a specific purpose or for generating a special product; most of them use the blog to satisfy their own personal desires. When developing blog services, therefore, it is important to cater to the users' enjoyment and their psychological compensation. What is surprising is that the effect of the economical factor is not ad significant as one might have expected. This implies that the new blog services that provide profit sharing or advertising revenue sharing may not be as successful as one would have hoped for in maintaining the loyalty of power bloggers.

Keywords

References

  1. 강희택, 김승운, '쾌락적 정보시스템의 지속적 사용의도에 영향을 미치는 요인에 관한 연구', 'Information Systems Review' 제8권, 제3호(2006), pp.153-174
  2. 고미현, 권순동, '인터넷 커뮤니티에서 사용자 참여가 밀착도와 지속적 이용의도에 미치는 영향', '경영정보학연구' 제18권, 제2호(2008) pp.41-72
  3. 김계수, '인터넷커뮤니티서비스와e-가치창출전략: 구조방정식 모형분석-개인형 홈페이지 서비스를 중심으로', '경영학연구', 제34권, 제4호(2005), pp.1101-1123
  4. 김나민, 이은영, 이문규, '컨슈머 리더의 블로그 이용유형에 관한 탐색적연구', '대한경영학회지', 제20권, 제4호(2007), pp.1687-1709
  5. 김지수, '블로그의 사회문화적 진화와이슈', '정보통신정책', 제16권, 제8호(2004), pp.18-20
  6. 넷다이버, 'Blogosphere Insight : 블로그통계 리포트, 블로그얌(blogyam.co.kr), 2008
  7. 배병렬, 'LISREL 구조방정식모델-이해, 활용 및프로그래밍', 2판, 도서출판 청람, 2006
  8. 안대천, 김상훈, '브랜드 신뢰, 브랜드 충성도와 기업의 웹사이트 이용에관한연구', '광고연구', 봄호(2008), pp.143-162
  9. 안태윤, 김종욱, '포털사이트에서 온라인 커뮤니티의 상호작용성, 보상, 몰입과 충성도가 구매의도에 미치는영향', '한국IT서비스학회', 제5권, 제3호(2006), pp.25-43
  10. 양영유, 정용환, 민동기, '상위1% 개인미디어에 네티즌35% 몰려', 중앙일보, 2005년5월10일
  11. 유호선, 김민용, 권오병, '유비쿼터스 컴퓨팅 서비스 수용에 영향을 미치는요인 연구', '한국전자거래학회지', 제3권, 제2호(2008), pp.117-147
  12. 윤명희, '블로그의 사회적 유형분석 '한국사회학, 제4권, 제1호(2007), pp.156-193
  13. 윤영미, 김영희, '지름신도놀랐다' 파워블로거의 힘', 한겨래신문, 2008년 11월 12일
  14. 이민선, 박철, 'IT와미래경영: 디지털컨텐츠 한국과 미국의 블로그 이용 유형에 관한비교 연구', '한국경영정보학회춘계학술대회', 2006, pp.723-730
  15. 이재신, '기술사용에 대한 태도 변화에 영향을 미치는 요인들에 관한 종단적연구 개인의 주관적판단과 사회적 영향을 중심으로', '한국언론학보', 제50권, 제6호(2006), pp.388-414
  16. 엄명용, 김미량, 김태웅, 'PMP 활용에 관한 영향요인 분석 : 유비쿼터스적 특성, 커뮤니티, 이미지, 인지된 즐거움을 중심으로', '경영과학, 제24권, 제2호(2007), pp.95-114
  17. 정종오, '블로거, 수익찾아움직인다', 아이뉴스24, 2008 년 9월 4 일
  18. Adams, D.A., Nelson, R.R. and Todd, P.A., 'Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication,' MIS Quarter, Vol.16, No.2(1992), pp.227-247 https://doi.org/10.2307/249577
  19. Agarwal, R and Karaharma, E., 'Time Flies When You're Having Fun : Cognitive Absorption and Beliefs About Information Technology Usage,' MIS Quarterly, Vol.24, No.4 (2000), pp.665-694 https://doi.org/10.2307/3250951
  20. Alexander, R and Pollach, I., 'Weblogs as a Mean of Marketing Commonication,' Vienna University of Economics and Business Administration, Vol.12, No.14(2004)
  21. Anderson, R.E. and Srinivasan, S.S., 'E-satisfaction and e-Loyalty : A Contingency Framework,' Psychology and Marketing, Vol.20, No.2(2003), pp.123-138 https://doi.org/10.1002/mar.10063
  22. Back, K.J. and Parks, S.C., 'A Brand Loyalty Model Involving Cognitive, Affective and Cognitive Brand Loyalty and Customer Satisfaction,' Journal of Hospitality and Tourism Research; Vol.27, No.4(2003), pp.419-435 https://doi.org/10.1177/10963480030274003
  23. Bhattacheriee, A, 'An Empirical Analysis of the Antecedents of Electronic Commerce Service Continuance,' Decision Support Systems, Vol.32, No.2(2001), pp.201-214 https://doi.org/10.1016/S0167-9236(01)00111-7
  24. Blood, R., The Weblog Handbook: Practical Advice on Creation and Maintaining Your Blog, Basic Books, Cambridge, MA, 2002
  25. Bowen, J.T. and Chen, S.L., 'The Relationship between Customer Loyalty and Customer Satisfaction,' International Journal of Contemporary Hospitality Management, Vol.13, No.5 (2001), pp.213-217 https://doi.org/10.1108/09596110110395893
  26. Butcher, K, Sparks, B. and O'Callaghan, F., 'Evaluative and Relational Influences on Service Loyalty,' International Journal of Service Industry Management, Vol.12, No.4 (2001), pp.310-321 https://doi.org/10.1108/09564230110405253
  27. Chin, W.W., 'Issues and Opinion on Structural Equation Modeling,' MIS Quarterly Vol.22, No.1(1998), pp.7-16
  28. Chin, W.W., PLS-Graph User's Guide, Version 3.0, C.T. Bauer College of Business, University of Houston, Houston, TX, 2001
  29. Cohen, J., Statistical Power Analysis for the Behaoioral Sciences, 2nd Edition, Lawrence Erlbaum, Hillsdale, NJ, 1988
  30. Compeau, D.R. and Higgins, C.A., 'Computer Self-Efficacy: Development of a Measure and Initial Test,' MIS Quarterly, Vol.19, No.2(1995), pp.189-211 https://doi.org/10.2307/249688
  31. Cyr, D., Hassanein, K, Head, M and Ivanov, A, 'The Role of Social Presence in Establishing Loyalty in e-Service Environments,' Interacting with Computers, Vol.19, No.1 (2007), pp.43-56 https://doi.org/10.1016/j.intcom.2006.07.010
  32. Daily Kos, I'm not a gatekeeper (http://www. dailykos.com/story/2005/8/6/14236/45172), Blog posting, August 10, 2005
  33. Davis, F.D., Bagozzi, R.P. 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
  34. Davis, F.D., Bagozzi, R.P. and Warshaw, P.R, 'Extrinsic and Intrinsic Motivation to Use Computers in the Workplace,' Journal of Applied Social Psychology, Vol.22, No.14 (1992), pp.1111-1132 https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
  35. Di Benedetto, C.A., Calantone, R.J. and Zhang, C, 'International Technology Transfer : Model and Exploratory Study in the People's Republic of China," International Marketing Review, Vol.20, No.4(2003), pp.446-462 https://doi.org/10.1108/02651330310485171
  36. Falk, R.F. and Miller, N.B., A Primer on Soft Modeling, The University of Akron Press, Akron, OH, 1992
  37. Fishbein, M. and Ajzen, I., Belief, Attitude Intention and Beiaoior : An Introduction to Theory and Research, Addison-Wesley, Boston MA, 1975
  38. Fornell, C. and Larcker, D.F., 'Structural Equation Models with Unobservable Variables and Measurement Errors,' Journal of Marketing Research, Vol.18, No.1(1981), pp.39-50 https://doi.org/10.2307/3151312
  39. Gefen, D., Straub, D.W. and Boudreau, M.C., 'Structural Equation Modeling and Regression : Guidelines for Research Practice,' Communications of the Association for Information Systems, Vol.4, No.7(2000), pp.1-79
  40. Hair, J.F., Tatham, R.L., Anderson, R.E. and Black, W, Multivariate Data Analysis, 5th Edition, Prentice-Hall International, Upper Saddle River, NJ, 1981
  41. Heskett, J, Sasser, W. and Schlesinger, L., Service Profit Chain : How Leading Companies Link Profit and Growth to Loyalty, Satisfaction, and Value, Free Press New York, New York, NY, 1997
  42. Hsu, C.L. and Lin, J.C.C., 'Acceptance of Blog Usage: The Roles of Technology Acceptance, Social Influence and Knowledge Sharing Motivation,' Information and Management, Vol.45, No.1(2008), pp.65-74 https://doi.org/10.1016/j.im.2007.11.001
  43. Igbaria, M, Zinatelli, N., Cragg, P. and Cavaye, A.L.M., 'Personal Computing Acceptance Factors in Small Firms : A Structural Equation Model,' MIS Quarterly, Vol.21, No.3(1997), pp.279-305 https://doi.org/10.2307/249498
  44. Krishnamurthy, S., The Multidimensionality of Blog Conversations: The Virtual Enactment of September 11, Internet Research 3.0. Maastricht, The Netherlands, 2002
  45. Lee, H.Y., Lee, YK and Kwon, D., 'The Intention to Use Computerized Reservation Systems : The Moderating Effect of Organizational Support and Supplier Incentive,' Journal of Business Research, Vol.58, No.11 (2005), pp.1552-1561 https://doi.org/10.1016/j.jbusres.2004.07.008
  46. Lilia E., Blog : The Stickiness Factor, Telematica Institute, 2003
  47. Malunood, MA, Hall, L. and Swanberg, D.L., 'Factors Affecting Information Technology Usage: A Meta-analysis of the Empirical Literature,' Journal of Organizational Computing and Electronic Commerce, Vol.11, No.2(2001), pp.107-130 https://doi.org/10.1207/S15327744JOCE1102_02
  48. Mathieson, K, 'Predicting User Intention: Comparing the Technology Acceptance Model with the Theory of Planned Behavior,' Information Systems Research, Vol.2(1991), pp.173-191 https://doi.org/10.1287/isre.2.3.173
  49. Ma, W.W.K, Li, P. and Clark, T.H.K, 'Examining the Cognitive Style Effects on the Acceptance of Online Community Weblog Systems,' Proceedings of the 39th Hawaiian International Conference on Systems Science, Vol.6(2006), pp.1-7 https://doi.org/10.1109/HICSS.2006.167
  50. Park, N., Jeong, J.Y. and Han, J.H., 'Who are the Power Bloggers as Potential Target Public in PR?: Public Issue Involvement Production of Messages Model,' Proceedings of 11th International Public Relations Research Conference, 2008
  51. Peterson, R.A, 'Relationship Marketing and the Consumer,' Journal of the Academy of Marketing Science, Vol.23, Fall (1995) , pp.278-281 https://doi.org/10.1177/009207039502300407
  52. Pullman, M.E. and Gross, M.A, 'Ability of Experience Design Elements to Elicit Emotions and Loyalty Behaviors,' Decision Sciences, Vol.35, No.3(2004), pp. 551-578 https://doi.org/10.1111/j.0011-7315.2004.02611.x
  53. Reichheld, F.F., Schefter, P., 'e-Loyalty : Your Secret Weapon on the Web,' Harvard Business Review, Vol.78, No.4(2000), pp.105-113
  54. Rogers, E. M, Diffusion of Innovations, Free Press, New York, NY, 1962
  55. Rowbottom, J., 'Media Freedom and Political Debate in the Digital Era,' The Modern Review, Vol.69, No.4(2006), pp.489-513 https://doi.org/10.1111/j.1468-2230.2006.00597.x
  56. Shankar, V., Smith, A.K. and Rangaswamy, A, 'Customer Satisfaction and Loyalty in Online and Offline Environments,' International Journal of Research in Marketing, Vol.20, No.2(2003), pp.153-175 https://doi.org/10.1016/S0167-8116(03)00016-8
  57. Sifry, D., State of the Blogosphere, October, 2006, Technorati, November, 2006
  58. Song, M.J. and Lee, J, 'Initial Weights in the PLS Algorithm for ACSI Based on SEM,' Journal of Korean Data and Information Science Society, Vol.17, No.1(2006), pp.173-185
  59. Stern, B., 'Advertising Intimacy: Relationship Marketing and the Service Consumer,' Journal of Advertising, Vol.26, No.4(1997), pp.7-19 https://doi.org/10.1080/00913367.1997.10673532
  60. Taylor, S. and Todd, P.A, 'Understanding Information Technology Usage: A Test of Competing Models,' Information Systems Research, Vol.6, No.2(1995), pp.144-176 https://doi.org/10.1287/isre.6.2.144
  61. Teo, T.S.H, Lim, V.K.G. and Lai, R.Y.C., 'Intrinsic and Extrinsic Motivation in Internet Usage,' Omega: International Journal of Management Science, Vo1.27, No.1(1999), pp.25-37 https://doi.org/10.1016/S0305-0483(98)00028-0
  62. Thorson, K.S. and Rodgers, S., 'Relationships between Blogs as eWOM and Interactivity, Perceived Interactivity, and Parasocial Interaction,' Journal of Interactive Advertising, Vol.6, No.2(2006), pp.39-50
  63. Tuttle B.M. and Harrell A.M., 'The Impact of Unit Goal Priorities, Economic Incentives, and Interim Feedback on the Planned of Information Systems Professionals,' Journal of Information Systems, Vol.15, No.2(2001), pp.81-98 https://doi.org/10.2308/jis.2001.15.2.81
  64. Van der Heijden, H., 'User Acceptance of Hedonic Infonnation System,' MIS Quarterly, Vol.28, No.4(2004), pp.695-704 https://doi.org/10.2307/25148660
  65. Venkatesh, V. and Davis, F. D., 'A Theoretical Extension of the Technology Acceptance Model : Four Longitudinal Case Studies,' Management Science, Vol.46, No.2(2000), pp.186-204 https://doi.org/10.1287/mnsc.46.2.186.11926
  66. Venkatesh, V., Morris, M.G., Davis, G.B. and Davis, F.D., 'User Acceptance of information Technology: Toward a Unified View,' MIS Quarterly, Vol.27, No.3(2003), pp.425-478 https://doi.org/10.2307/30036540
  67. Zeithaml, V.A., Berry, L.L. and Parasuraman, A, 'The Behavioral Consequences of Service Quality,' Journal of Marketing, Vol.50(1996), pp.31-46