한국컴퓨터정보학회논문지 (Journal of the Korea Society of Computer and Information)

  • 제23권9호
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  • Pages.141-156
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  • 2018
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  • 1598-849X(pISSN)
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  • 2383-9945(eISSN)
한국컴퓨터정보학회 (Korean Society of Computer Information)
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Empirical Validation of Personal Information Violation Risk for Cryptocurrency with Use Intention

  • 투고 : 2018.09.03
  • 심사 : 2018.09.06
  • 발행 : 2018.09.28
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초록

The purpose of this study is how personal information violation risks affect the intention to use domestic cryptocurrency services. VAM(Value based Adoption Model) model is validated as a theoretical background, selecting perceived ease of use, perceived usefulness and perceived security as a benefit factors, and considers perceived cost, technical complexity, and risk of personal information violation risks as sacrifice factors. The method of this study used questionnaire survey to collect 150 data on user's perception on cryptocurrency services, and also performed a structural equation modeling method using by AMOS 23. The result of this paper shows that all hypotheses are accepted statistically significant except 2 hypothesis. This research is concluded that perceived value is affected on statistically positive impact on perceived ease of use, perceived usefulness and perceived security, and negative impact on risk of personal information violation risk, not statistically perceived fee and technical complexity.

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참고문헌

  1. S. S. Maeng., "Rational Regulation Plans for Block Chain-based Virtual Currency -Focused on Bitcoin", 2016.
  2. Nakamoto, Satoshi., "Bitcoin: A peer-to- peer electronic cash system," 2008.
  3. https://coinmarketcap.com/ AUG 26. 2018.
  4. S. M. Park., "Study on forgery, falsification and misuse of electronic cash on criminal law", DONG-A LAW REVIEW, Vol. 53, pp.141-166, 2011
  5. J.W., Kim and Y.C., Jeon, "Empirical Validation of Personal Information Violation Risks : Focusing on Domestic Smart Baking Services", Journal of Korean Society Quality Management, Vol. 45, No.3, pp. 583-594, 2017. https://doi.org/10.7469/JKSQM.2017.45.3.583
  6. https://news.joins.com/article/22730558,Joongang New spaper, JUN 20, 2018.
  7. D.H, Shin and Y.M., Kim, "The Factors Influencing Intention to Use Bit Coin of Domestic Consumers", The Journal of the Korea Contents Association", Vol. 16, No.1, pp. 24-41, 2016. https://doi.org/10.5392/JKCA.2016.16.01.024
  8. H.S, Yang and Y.M., Kwon, "Cryptocurrency : BitCoin", Journal of Multimedia Information System, Vol.19, No.1, pp. 28-36, 2015.
  9. J. B., Kim"KIP VIP Series-Vision, Lnsight and Policy: 2014-11: Analysis and Implication of BitCoin Transaction Mechanism", KIF VIP Report, Vol. 11, pp. 1-82. 2014.
  10. H. K. Kim., "Bitcoin Regulation : Legal and Regulatory Issues of the Virtual Currency System" The Korean Journal of Securities Law, Vol. 15, No 3, pp. 377-431, 2014. https://doi.org/10.17785/kjsl.2014.15.3.377
  11. European Central Bank, "Virtual Currency Schemes", Report, 2012.
  12. S. C. Jeong., "A Discussion on the Activation Policies for Electronic Money", The e-Business Studies, Vol. 6, No. 1, pp.161-180, 2005.
  13. K.O,,Chung, "A Study of Activation Plan for Electronic Cash and Mobile Banking in Korea," Journal of Payment and Settlement, Vol.2, No.2, pp.67-97, 2008.
  14. D.K., Lee, "Current State and Implication of BitCoin", Payment and Settlement Report of Korea Bank, pp.1-46, 2013.
  15. http://www.upbit.com, AUG 26. 2018.
  16. S. Y. Kim, S. B. Ahn., "A Study on Identifying Affecting Factors to Accept Blockchain System -Focused on Logistics Industry-", KOREA LOGISTICS REVIEW, Vol.28, No.1, pp.71-85, 2018. https://doi.org/10.17825/klr.2018.28.1.71
  17. https://coinmarketcap.com/rankings/exchanges/ AUG 26. 2018.
  18. https://namu.wiki/w/ AUG 26. 2018.
  19. Y. L. Park., "A Study on Information Security Level Assessment and Vulnerability Improvement for Financial-sector Information Security Level Enhancement", YeonSe University Phd., 2014.
  20. S.H., Kim, E.J., Shin, S.Y., Bae, and H.G., Kang, "Factors Affecting the Acceptance of BitCoin", The Journal of Internet Electronic Commerce Research", Vol. 18, No.3, 2018.
  21. http://biz.chosun.com/site/data/html_dir/2017/12/21/2017122100407.html DEC 21. 2017.
  22. http://www.yonhapnews.co.kr/bulletin/2018/06/20/0200000000AKR20180620055853002.HTML,June 20, 2018.
  23. E. M. Rogers, "Diffusion of Innovations", 4th Ed., Free Press: New York 1995.
  24. M. Fishbein, and I. Ajzen, Belief, Atitude, Intention, and Behavior: An Introduction to Theory and Research, Reading Mas: Adison-Wesley Pub. Co, 1975.
  25. I. Ajzen, and M. Fishbein, "Understanding Atitudes and Predicting Social Behavior", NJ; Prentice-Hal, Inc, Uper Sadle Rive, 1980.
  26. F.D. Davis, "A Technology Aceptance Model for Empiricaly Testing New End-User Information Systems: Theory and Results", Doctoral Disertation MIT Sloan Schol of Management, Cambridge, MA, 1986.
  27. V. Venkatesh, and F.D. Davis, "A Theoretical Extension of the Technology Aceptance Model: Four Longitudinal Field Studies," Management Science, Vol. 46, No. 2, pp. 186-204, 2000. https://doi.org/10.1287/mnsc.46.2.186.11926
  28. V. Venkatesh, M.G. Moris, G.B. Davis, and F.D. Davis, "User aceptance of information technology: Toward a unified view. MIS quarterly", 27(3), pp. 425-478, 2003. https://doi.org/10.2307/30036540
  29. T.C. Lin, S. Wu, J. S.C. Hsu, and Y.C. Chou, "The integration of value-based adoption and expectation- confirmation models: An example of IPTV continuance intention", Decision Suport Systems, 2012.
  30. V. A. Zeithaml, "Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence", The Journal of Marketing, Vol.52, No.3, pp. 2-2, 1988. https://doi.org/10.1177/002224298805200302
  31. H. W. Kim, H. C. Chan, and S. Gupta, "Value-based Adoption of Mobile Internet : An empirical investigation," Decision Suport Systems, Vol. 43, No. 1, pp. 11-126, 2007.
  32. F. D. Davis, "Perceived usefulnes, easy of use, and the user aceptance of information technology", MIS Quarterly, Vol. 13, No. 3, pp. 319-340, 1989. https://doi.org/10.2307/249008
  33. J. C. Sweney, G. N. Soutar, and L. W. Johnson, "Retail service quality and perceived value: A comparison of two models", Journal of Retailng and Consumer Services, Vol. 4, No. 1, pp. 39-48, 1997. https://doi.org/10.1016/S0969-6989(96)00017-3
  34. F. D. Davis, R. P. Bagozi, and P. R. Warshaw, "Extrinsic and intrinsic motivation to use computers in the workplace", Journal of Applied Social Psychology, Vol. 2, No. 14, pp. 11-132, 1992.
  35. W. H. DeLone, and E. R. McLean, "Information systems suces: The quest for the dependent variable. Information systems research", Vol.3, No.1, pp. 60-95, 1992. https://doi.org/10.1287/isre.3.1.60
  36. D. Grewal, K. B. Monroe, and R. Krishnan, "The effects of price-comparison advertising on buyers' perceptions of acquisiton value, transaction value, and behavioral intentions", The Journal of Marketing, Vol.62, No.2, pp. 46-59, 1998. https://doi.org/10.2307/1252160
  37. J.M. Carman, "Value and Consumption Paterns: A Closed Lop," Advances in Consumer Research, Vol. 5, pp. 403-407, 1978.
  38. Monroe, "Pricing : Making Profitable Decisions", McGraw-Hil, NewYork, NY, 1990.
  39. A. J. Hofman,, "Psychological separation of late adolescents from their parents.", Journal of Counseling Psychology, Vol 31, No.2, pp. 170-178, 1984. https://doi.org/10.1037/0022-0167.31.2.170
  40. B. Kim, and I. Han, "What drives the adoption of mobile data services? An aproach from a value perspective", Journal of Information Technology, 2009.
  41. H.Y. Wang, and S.H. Wang, "Predicting Mobile Hotel Reservation Adoption: Insight from a Perceived Value Standpoint," International Journal of Hospitality Management, Vol. 29, No. 4, p. 598-608, 2010. https://doi.org/10.1016/j.ijhm.2009.11.001
  42. T. C. Lin, C. K. Le, and J. C., Lin, "Determinants of Enterprise 2.0 adoption: A value-based adoption model approach", In Information Society (i-Society), 2010 International Conference, 2010.
  43. T. C. Lin, S. Wu, J. S. C. Hsu, and Y. C. Chou, "The integration of value-based adoption and expectation-confirmation models: An example of IPTV continuance intention", Decision Suport Systems, 2012.
  44. S. J. Lee, Y. W. Kim, H. S. Seo, B. K. Lee, "Acceptance and Rejection of Smartphones and Application Genre Repertoire", Korean Society for Internet Information. June, 2010.
  45. J. H. Han, S. B. Kang, T. S. Moon, "Asia Pacific Journal of Information Systems", Asia Pacific Journal of Information Systems, Vol. 23, No 4, pp. 5-84, 2013. https://doi.org/10.1111/j.1365-2575.2011.00392.x
  46. S. B. Kang, Y. P. Son, T. S. Moon, "An Empirical Study on User Acceptance based on a Dual Model for Broadcasting and Communication Convergence", The Journal of Internet Electronic Commerce Resarch, Vol. 13, No. 4, 2013.
  47. D. H. Kim, J. H. Lee, Y. P. Park, "A Study of Factors Affecting the Adoption of Cloud Computing", The Journal of Society for e-Business Studies, Vol. 17, No 1, 2012.
  48. D. H. Kim, J. H. Le, and Y. P. Park, "A Study of Factors Affecting the Adoption of Cloud Computing," The Journal of Society for e-Business Studies, Vol.17, No. 1, p. 11-136, 2012.
  49. G. McDougal, and T. Levesque, "Customer satisfaction with services : puting perceived value into the equation", Journal of Services Marketing, Vol.14, No. 5, pp. 392-410, 2000. https://doi.org/10.1108/08876040010340937
  50. Z. Chen, A.J. Dubinsky, "A conceptual model of perceived customer value in e-commerce: a preliminary investigation", Psychology and Marketing", Vol.23, No.4, 2003.
  51. R.A. Kerin, A. Jain, and D.J. Howard, "Store shopping experience and consumers price-quality-value perceptions", Journal of Retailing, Vol. 68, No.4, 1992.
  52. S. B. Lee, J.Y. Lee, and J. Y. Moon, "What is the Switching Intention from Existing Payment to Mobile Payment Service?", Journal of The Korea Society of Computer and Information, Vol. 23, No. 6, pp. 59-66, 2018 https://doi.org/10.9708/JKSCI.2018.23.06.059
  53. M. Igbaria, "User Acceptance of Micro Computer Technology: An Empirical Test, Omega International", Journal of Management Science, Vol.21, No.1 , pp. 73-90, 1993.
  54. Y. S. Wang, Y. M. Wang, H. H. Lin, and T. I. Tang, "Determinants of user acceptance of Internet banking: an empirical study", International Journal of Service Industry Management, Vol.14, No.5, pp. 501-519, 2003. https://doi.org/10.1108/09564230310500192
  55. V. Swaminathan, E. Lepkowska‐White, and B. P. Rao, "Browsers or buyers in cyberspace? An investigation of factors influencing electronic exchange", Journal of Computer‐Mediated Communication, Vol.5, No.2, 1999.
  56. C. J. Ruth, "Applying a modified technology acceptance model to determine factors affecting behavioral intentions to adopt electronic shopping on the World Wide Web: A structural equation modeling approach", Drexel university, 2000.
  57. M. Brown, P. Brown, and T. Biby, "I Would Rather Die : Reasons Given by 16-Year-Olds for Not Continuing Their Study of Mathematics", Research in Mathematics Education, 10, 3-18, 2008. https://doi.org/10.1080/14794800801915814
  58. S. W. Yoon, "The Study on the Acceptance Decision Factor of the Mobile Internet", Korean journal of journalism & communication studies, Vol. 48, No. 3, pp.274-301, 2004
  59. V. Venkatesh, and S. A. Brown, "A longitudinal investigation of personal computers in homes: adoption determinants and emerging challenges", MIS quarterly, pp. 71-102, 2001.
  60. Y. F. Kuo, & S. N. Yen, "Towards an understanding of the behavioral intention to use 3G mobile value-added services. Computers in Human Behavior", Vol.25, No.1 , pp. 103-110, 2009. https://doi.org/10.1016/j.chb.2008.07.007
  61. S. Y. Hung, C. Y. Ku, and C. M. Chang, "Critcal factors of WAP services adoption: an empirical study", Electronic Commerce Research and Applications, Vol.2, No.1, pp. 42-60, 2003. https://doi.org/10.1016/S1567-4223(03)00008-5
  62. J. G. Lee, H. J. Choi, and S. A. Choi, "Study on How Service Usefulness and Privacy Concern Influence on Service Acceptance," The Journal of Society for e-Busines Studies, Vol. 12, No. 4, p.37-51, 2007
  63. F. V. Cespedes, and H. J. Smith, "Database Marketing : New Rules for Policy and Practice," Sloan Management Review, Vol. 3, pp. 7-23, 1993.
  64. Y. J. Jeong, I. Y. Choi, J. Y. Xiang, H. S. Moon, J. K. Kim, "Understanding Perceived Enjoyment, Perceived Risk, and Intention to Use Mobile Multi-Media Service Basedon Smart Phones", Journal of Information Technology Services, Vol. 12, No. 2, 2013.
  65. H. M. Jeon, "The Effect of Foodservice Consumer's Perceived Risk and Value on Social Commerce Usage Intention : Focused on the Technology Acceptance Model", Journal of Food service Management Society of Korea, Vol. 16, No. 6, pp. 19-22, 2013.
  66. S.M., Choi, "Effect of System Quality Characteristics of Moble Payment Services with Innovation Resistance and Continuous Use Intention", A Master's Thesis of Soongsil University, 2015.
  67. C.H., Chung and Y.S., Chung, "The Relationship Perceived Risks with Post-Adoption Behavior of Cloud Computing Services", Journal of Management and Economics, Vol.37, No.3, pp. 3-23, 2015.
  68. D.Y., Hong, "A Effect of Personal Information Protection with Reliability for Utilizing Personal Information", A Master's Thesis of Korea University, 2010.
  69. D. H. Kim, J. H. Lee, and Y. P. Park, "A Study of Factors Affecting the Adoption of Cloud Computing," The Journal of Society for e-Busines Studies, Vol.17, No. 1, pp. 11-136, 2012.
  70. J. H. Han, S. B. Kang, and T. S. Mon, "An Empirical Study on Perceived Value and Continuous Intention to Use of Smart Phone, and the Moderating Efect of Personal Informativeness," Asia Pacific Journal of Information Systems, Vol. 23, No. 4, pp. 53-84, 2013. https://doi.org/10.14329/apjis.2013.23.4.053
  71. O. Turel, A. Serenko, and N. Bontis, "User acceptance of hedonic digital artifacts: A theory of consumption values perspective", Information and Management, Vol.47, No.1, pp. 53-59, 2010. https://doi.org/10.1016/j.im.2009.10.002
  72. J. Yu, H. Zo, Choi. Ke, M, and P. Ciganek, "A. User acceptance of location-based social networking services: an extended perspective of perceived value", Online Information Review, Vol. 37, No.5, pp. 71-730, 2013.
  73. S. H. Kim, "Moderating Effects of Switching Cost on the IT Service Switching Intention", The Journal of the Korea Contents Association, Vol. 13, No. 10, pp. 452-460, 2013. https://doi.org/10.5392/JKCA.2013.13.10.452
  74. S.C. Park and S. Y. Ryoo, "An Empirical Investigation of End-Users' Switching Toward Cloud Computing : A Two Factor Theory Perspective", Computers in Human Behavior, Vol. 29, pp.160-170, 2013. https://doi.org/10.1016/j.chb.2012.07.032
  75. H.W. Kim and A. Kankanhalli, "Investigating User Resistance to Information Systems Implementation : A Status Quo Bias Perspective", MIS Quarterly, pp. 567-582, 2009.
  76. R.P. Bagozzi. P. Richard, and Y. Yi, "On the Evaluation of Structural Equation Models." Journal of the Academy of Marketing Science, Vol. 16, No. 1, pp.74-94. 1998. https://doi.org/10.1007/BF02723327
  77. W.W. Chin, B.L. Marcolin, and P.R. Newsted, "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study." Information Systems Research, Vol. 14, No. 2, pp.189-217. 2003. https://doi.org/10.1287/isre.14.2.189.16018
  78. C. Fornel, and D.F. Larcker, "Evaluating structural equation models with unobservable variables and measurement error", Journal of marketing research, Vol.18, No.1, pp. 39-50. 1981. https://doi.org/10.2307/3151312