DOI QR코드

DOI QR Code

핀테크 서비스의 혁신성과 상대적 장점은 실질이용에 영향을 미칠까?: 고전적 태도이론을 이용한 실증 연구

Do Innovation and Relative Advantage Affect the Actual Use of FinTech Services?: An Empirical Study using Classical Attitude Theory

  • 임세헌 (상지대학교 경영정보학과)
  • Se Hun Lim (Department of MIS, Sangji University)
  • 투고 : 2019.02.11
  • 심사 : 2019.07.17
  • 발행 : 2019.08.31

초록

핀테크 서비스는 유무선 통신 환경에서 다양한 디바이스를 연결해 금융서비스 이용자들에게 혁신을 제공해 주었다. 본 연구에서는 고전적 태도이론을 이용해 핀테크 서비스 이용자의 심리를 설명하였다. 이 이론적 프레임워크에 기반해, 본 연구에서는 핀테크 서비스 이용자들이 인지하는 혁신성과 상대적 장점이 인지적 반응(인지된 유용성과 이용 용이성)과 감정적 반응(태도)에 미치는 영향관계를 분석하였고, 그리고 태도가 행동 반응(실질이용)에 미치는 영향 관계에 대한 분석하였다. 본 연구에서는 핀테크 서비스 이용 경험 있는 사람들을 대상으로 온라인 설문조사를 수행하였다. 그리고, 수집된 핀테크 서비스 이용자의 데이터를 구조방정식 소프트웨어인 SMART PLS 2.0 M3를 이용해 구조모델을 분석하였다. 실증분석 결과를 살펴보면, 핀테크 서비스 이용자의 혁신성, 상대적 장점, 유용성, 이용 용이성, 태도, 실질이용 사이에는 유의한 인과관계가 존재하는 것으로 나타났다. 이러한 연구결과는 사물인터넷 환경에서 핀테크 서비스 이용자들의 실질이용 증진을 위한 유용한 정보를 제공해 줄 것이다.

The Fintech services provide innovation to financial services users using various mobile devices and computers in wired and wireless communication environments. In this study, we develope a theoretical research framework to explain the psychology of Fintech services users based on a cognitive, affective, and conative framework. Using this framework, this study analyzes the relationships between the cognitive characteristics (i.e., innovation, relative advantage, ease of use, and usefulness), emotional characteristic (i.e., attitude), and behavioral characteristic (i.e., actual use) toward Fintech services users. This study conducted an online survey of people who have experienced using Fintech services. And the data of the collected Fintech services users was analyzed using structural equation model software (i.e., SMART PLS 2.0 M3). The results of the empirical analysis show the relationships between innovation, relative advantage, perceived usefulness, perceived ease of use, attitude, and actual use of Fintech service users. The results of this study provide useful information to improve the practical use of Fintech services users in the Internet of Things (IoT) environment.

키워드

과제정보

저자는 연구에 유용한 의견을 제안해주신 편집위원장님, 편집위원님, 그리고 두 분의 심사위원님들께 감사드립니다. 더불어 본 연구자는 핀테크 연구에 다양한 도움을 제공해주신 중앙대학교 허연 교수님과 북텍사스대학교 김단종 교수님께 감사드립니다. 본 연구는 2019년 상지대학교 교수 연구년제(연구학기제) 지원에 의해 이루어졌음.

참고문헌

  1. 김정덕, 임세헌, "모바일 뱅킹 이용자의 개인정보 유출사고 인지가 개인정보관리 준수행동에 미치는 영향에 대한 사전 연구", 정보보호학회논문지, 제26권, 제3호, 2016, pp. 735-744. 
  2. 서울특별시 정보소통광장, "[제로페이 서울] 수수료는 0%! 소득공제는 40%! 제로페이 서울, 쓸만하네", 2018년 11월 29일, Available at https://opengov.seoul.go.kr/seoullove/16663388. 
  3. 이데일리(방성훈 기자), "커지는 핀테크 시장...올해 상반기 글로벌 투자 '역대 최대'", 2018년 8월 22일, Available at http://www.edaily.co.kr/news/read?newsId=01164406619309944&mediaCodeNo=257. 
  4. 이창원, "A study on FinTech(financial technology) and e-business: State of the art", 전자상거래연구, 제15권, 제5호, 2015, pp. 217-229. 
  5. 최병구, "가치창조를 위한 기업자원관리: 전사적자원관리 구현을 기반으로", Information Systems Review, 제10권, 제3호, 2008, pp. 111-132. 
  6. 최보미, 박민정, 채상미, "개인정보보호 기술 수용행동에 영향을 미치는 요인에 대한 연구", Information Systems Review, 제17권, 제3호, 2015, pp. 77-94 
  7. 허 연, 임세헌, "IoT 기반 스마트 뱅킹서비스의 인지된 보안과 신뢰가 서비스 이용 확산에 미치는 영향에 대한 실증 연구", 보험금융연구, 제28권, 제1호, 2017, pp. 37-65. 
  8. Aaker, D. A. and D. M. Stayman, "Measuring audience perceptions of commercials and relating them to ad impact", Journal of Advertising Research, Vol.30, No.40, 1990. pp. 7-17. 
  9. Agrawal, A., C. Catalini, and A. Goldfarb, "Crowdfunding: Geography, social networks, and the timing of investment decisions", Journal of Economics & Management Strategy, Vol.24, No.2, 2015, pp. 253-274. 
  10. Aiken, L. S., S. G. West, and R. R. Reno, Multiple Regression: Testing and Interpreting Interactions", Sage, New York, 1991. 
  11. Ajzen, I., "The theory of planned behavior", Organizational Behavior and Human Decision Processes, Vol.50, No.2, 1991, pp. 179-211. 
  12. Beck, R., M. Avital, M. Rossi, and J. B. Thatcher, "Blockchain technology in business and information systems research", Business & Information Systems Engineering, Vol.59, No.6, 2017, pp. 381-384. 
  13. Bhattacherjee, A., "Understanding information systems continuance: An expectation-confirmation model", MIS Quarterly, Vol.25, No.3, 2001, pp. 351-370. 
  14. Bilgihan, A., J. Kandampully, and T. Zhang, "Towards a unified customer experience in online shopping environments: Antecedents and outcomes", International Journal of Quality and Service Sciences, Vol.8, No.1, 2016, pp. 102-119. 
  15. Capgemini, LinkedIn, Efma, "World fintech report 2018", Capgemini, Group, 2018, Available at https://www.capgemini.com/news/capgeminis-world-fintech-report-2018-highlights-symbiotic-collaboration-as-key-to-future-financial-services-success/# (Accessed, Jan 29, 2019). 
  16. Chang, Y., S. F. Wong, H. Lee, and S. P. Jeong, "What motivates chinese consumers to adopt FinTech services: A regulatory focus theory", In Proceedings of the 18th Annual International Conference on Electronic Commerce: E-Commerce in Smart Connected World (p. 40). ACM. 2016, August. 
  17. Chin, W. W., "The Partial Least Squares approach to structural equation modeling", in: G. A. Marcoulides (Ed.), Modern Methods for Business Research, Lawrence Erlbaum Associates, Mahwah, NJ, 1998, pp. 295-336. 
  18. Cohen, J., Statistical Power Analysis for the Behavioral Sciences, Lawrence Erlbaum Associates, Inc. 1977. 
  19. Davis, F. D., "Perceived usefulness, perceived ease of use, and user acceptance of information technology", MIS Quarterly, Vol.13, No.3, 1989, pp. 319-340. 
  20. Davis, F. D., "User acceptance of information technology: System characteristics, user perceptions and behavioral impacts", International Journal of Man-Machine Studies, Vol.38, No.3, 1993, pp. 475-487. 
  21. Davis, F. D., R. P. Bagozzi, and P. R, Warshaw, "User acceptance of computer technology: A comparison of two theoretical models", Management Science, Vol.35, No.8, 1989, pp. 982-1003. 
  22. de Oliveira Malaquias, F. F. and Y. Hwang, "An empirical investigation on disclosure about mobile banking on bank websites", Online Information Review, Vol.42, No.5, 2018, pp. 615-629. 
  23. Du, W. D., S. L. Pan, D. E. Leidner, and W. Ying, "Affordances, experimentation and actualization of FinTech: A blockchain implementation study", The Journal of Strategic Information Systems, Vol.28, No.1, 2019, pp. 50-65 
  24. Ducoffe, R., "How consumers assess the value of advertising", Journal of Current Issues and Research in Advertising, Vol.17, No.1, 1995, pp. 1-18. 
  25. Eighmey, J., "Profiling user responses to commercial Web sites", Journal of Advertising Research, Vol.37, No.3, 1997, pp. 59-66. 
  26. Fishbein, M. and I. Ajzen, Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research, Reading, MA: Addison-Wesley, 1975. 
  27. Fornell, C. and D. Larcker, "Evaluating structural equation models with unobservable variables and measurement error", Journal of Marketing Research, Vol.18, No.1, 1981, pp. 39-50. 
  28. Gefen, D. and D. Straub, "Gender difference in the perception and use of e-mail: An extension to the technology acceptance model", MIS Quarterly, Vol.21, No.4, 1997, pp. 389-400. 
  29. Hair, J. F., R. E. Anderson, R. L. Tatham, and W. C. Black, Multivariate Data Analysis (5th ed.), Prentice-Hall, New Jersey, 1998. 
  30. Hair, Jr. J. F., G. T. M. Hult, C. M. Ringle, and M. Sartedt, A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), SEGE Publications, Inc, 2013 
  31. Hilgard, E. R., "The trilogy of mind: Cognition, affection, and conation", Journal of the History of the Behavioral Sciences, Vol.16, No.2, 1980, pp. 107-117. 
  32. Hulland, J., "Use of partial least squares (PLS) in strategic management research: A review of four recent studies", Strategic Management Journal, Vol.20, No.2, 1999, pp. 195-204. 
  33. Kalnins, A., "Multicollinearity: How common factors cause Type 1 errors in multivariate regression", Strategic Management Journal, Vol.39, No.8, 2018, pp. 2362-2385. 
  34. Kim, C., W. Tao, N. Shin, and K. S. Kim, "An empirical study of customers' perceptions of security and trust in e-payment systems," Electronic Commerce Research and Applications, Vol.9, No.1, 2010, pp. 84-95. 
  35. Kim, Y. H., D. J. Kim, and K. Wachter, "A study of mobile user engagement(MoEN): Engagement motivations, perceived value, satisfaction, and continued engagement intention", Decision Support Systems, Vol.56, 2013, pp. 361-370. 
  36. Kshetri, N., "Blockchain's roles in meeting key supply chain management objectives", International Journal of Information Management, Vol.39, 2018, pp. 80-89. 
  37. Lee, I. and Y. J. Shin, "Fintech: Ecosystem, business models, investment decisions, and challenges", Business Horizons, Vol.61, No.1, 2018, pp. 35-46. 
  38. Lee, M. C., "Explaining and predicting users' continuance intention toward e-learning: An extension of the expectation-confirmation model", Computers & Education, Vol.54, No.2, 2010, pp. 506-516 
  39. Lee, S. H., J. E. Lee, and H. W. Kim, "A customer value theory approach to the engagement with a brand: The case of KakaoTalk plus in Korea", Asia Pacific Journal of Information Systems, Vol.28 No.1, 2018, pp. 36-60. 
  40. Lee, T. D., H. Park, and J. Lee, "Collaborative accountability for sustainable public health: A Korean perspective on the effective use of ICT-based health risk communication", Government Information Quarterly, Vol.36, No.2, 2019, pp. 226-236. 
  41. Lee, T. H. and H. W. Kim, "An exploratory study on fintech industry in Korea: crowdfunding case", In 2nd International Conference on Innovative Engineering Technologies (ICIET'2015), Bangkok, 2015. 
  42. Leong, C., B. Tan, X. Xiao, F. T. C. Tan, and Y. Sun, "Nurturing a FinTech ecosystem: The case of a youth microloan startup in China", International Journal of Information Management, Vol.37, No.2, 2017, pp. 92-97. 
  43. Lim, S. H., "An empirical study on behavior and psychology concerning invoice disposal in the context of courier services: A comparative study on korea and the U.S.", Asia Pacific Journal of Information Systems, Vol.28, No.2, 2018, pp. 133-153. 
  44. Lim, S. H., D. J. Kim, Y. Hur, and K. S. Park, "An empirical study of the impacts of perceived security and knowledge on continuous intention to use mobile fintech payment services", International Journal of Human-Computer Interaction, Vol.35, No.1, 2019, pp. 886-898. 
  45. Lim, S. H., J. Y. Sung, D. K. Kim, and D. J. Kim, "a study of consumers' perceived risk, privacy concern, information protection policy, and service satisfaction in the context of parcel delivery services", Asia Pacific Journal of Information Systems, Vol.27, No.3, 2017, pp. 156-175. 
  46. Loiacono, E. T., R. T. Watson, and D. L. Goodhue, "WebQual: An instrument for consumer evaluation of web sites", International Journal of Electronic Commerce, Vol.11, No.3, 2007, pp. 51-87. 
  47. Lu, C. C., L. Wu, and W. H. Hsiao, "Developing customer product loyalty through mobile advertising: Affective and cognitive perspectives", International Journal of Information Management, Vol.47, 2019, pp. 101-111. 
  48. Lu, Y., S. Yang, P. Y. Chau, and Y. Cao, "Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective", Information & Management, Vol.48, No.8, 2011, pp. 393-403. 
  49. Mansfield, E. R. and B. P. Helms, "Detecting multicollinearity", The American Statistician, Vol.36, No.3a, 1982, pp. 158-160. 
  50. Moore, G. and I. Benbasat, "Development of an instrument to measure perceptions of adopting an information technology innovation", Information Systems Research, Vol.2, No.3, 1991, pp. 192-222. 
  51. Morosan, C., "Voluntary steps toward air travel security: An examination of travelers' attitudes and intentions to use biometric systems", Journal of Travel Research, Vol.51, No.4, 2012, pp. 436-450. 
  52. Nunnally, J. C. and I. H. Bernstein, Psychometric Theory (3rd ed.), McGraw-Hill, New York, 1994. 
  53. Ogbanufe, O. and D. Kim, "Comparing fingerprint-based biometrics authentication versus traditional authentication methods for e-payment", Decision Support Systems, Vol.106, 2018, pp. 1-14. 
  54. Oshodin, O., A. Molla, S. Karanasios, and C. E. Ong, "Is FinTech a disruption or a new eco-system? An exploratory investigation of banker response to FinTech in Australia", In Proceeding of Australasian Conference on Information Systems, 2017, pp. 1-11. 
  55. Ozturk, A. B., K. Nusair, F. Okumus, and N. Hua, "The role of utilitarian and hedonic values on users' continued usage intention in a mobile hotel booking environment", International Journal of Hospitality Management, Vol.57, 2016, pp. 106-115. 
  56. Rogers, E. M., Diffusion of Innovations (3d ed), Free Press, New York, 1983. 
  57. Rosenberg, M. J. and C. I. Hovland, "Cognitive, affective and behavioral components of attitudes", In M. J. Rosenberg and C. I. Hovland (Eds.), Attitude organization and change: An analysis of consistency among attitude components (pp. 112-163), Yale University Press, New Haven, 1960. 
  58. Ryu, H. S., "Understanding benefit and risk framework of fintech adoption: comparison of early adopters and late adopters", In Proceedings of the 51st Hawaii International Conference on System Sciences, 2018. 
  59. Ryu, S. H. and K. Kim, and J. Hahn, "The effect of crowdfunding success on subsequent financing outcomes of start-ups", July 14, 2018, Available at https://ssrn.com/abstract=2938285 or http://dx.doi.org/10.2139/ssrn.2938285. 
  60. Schierz, P. G., O. Schilke, and B. W. Wirtz, "Understanding consumer acceptance of mobile payment services: An empirical analysis", Electronic Commerce Research and Applications, Vol.9, No.3, 2010, pp. 209-216. 
  61. Schmidt, J., P. Drews, and I. Schirmer, "Charting the emerging financial services ecosystem of fintechs and banks: Six types of data-driven business models in the Fintech sector", Conference: Hawaii International Conference on System Sciences, 2018. 
  62. Sinclair, B., "IoT Inc: How Your Company Can Use the Internet of Things to Win in the Outcome Economy", (1 ed.), McGraw-Hill Education, 2017. 
  63. Stewart, H. and J. Jurjens, "Data security and consumer trust in FinTech innovation in Germany", Information & Computer Security, Vol.26, No.1, 2018, pp. 109-128. 
  64. Straub, D. W., "The effect of culture on IT diffusion: E-mail and FAX in Japan and the U.S", Information Systems Research, Vol.5, No.1, 1994, pp. 23-47. 
  65. Tenenhaus, M., V. E. Vinzi, Y. M. Chatelin, and C. Lauro, "PLS path modeling", Computational Statistics and Data Analysis, Vol.48, No.1, 2005, pp. 159-205. 
  66. Wells, J. D., D. E. Campbell, J. S. Valacich, and M. Featherman, "The effect of perceived novelty on the adoption of information technology innovations: A risk/reward perspective", Decision Sciences, Vol.41, No.4, 2010, pp. 813-843. 
  67. Wonglimpiyarat, J., "FinTech banking industry: A systemic approach", Foresight, Vol.19, No.6, 2017, pp. 590-603. 
  68. Zhang, H. and H. Li, "Factors affecting payment choices in online auctions: A study of eBay traders", Decision Support Systems, Vol.42, No.2, 2006, pp. 1076-1088.