Asia-Pacific Journal of Business (아태비즈니스연구)

KNU The Institute of Management & Economy Research (강원대학교 경영경제연구소)
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Impact of Concerns on Service, Platform, Network, Device, and Privacy in the Use of Fintech in the Internet of Things Environment

사물인터넷 환경에서 핀테크 이용자의 서비스, 플랫폼, 네트워크, 디바이스, 프라이버시 우려의 영향

  • Se-Hun Lim (Department of International Business, Sangji University)
  • 임세헌 (상지대학교 국제경영학과)
  • Received : 2024.05.30
  • Accepted : 2024.06.27
  • Published : 2024.06.30
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Abstract

Purpose - This study aims to analyze the relationship between perceived risk, privacy concerns, continual intention to use of Fintech services. Design/methodology/approach - This research developed a conceptual framework using attitude theory and analyzed the relationship between risk perception to Fintech services, Fintech concerns(service concern, platform concern, network concern, device concern, and privacy concern), and continual use in the context of Fintech services. In this study, Data analyzed using the PLS(partial least squares) structural equation model approach. Findings - As a result of empirical analysis, Fintech risk perception affected service concern, platform concern, network concern, device concern, and privacy concern. In addition, it was found that privacy risk did not affect continual use of Fintech services. In addition, among Fintech service concerns, platform concern, network concern, and privacy concern did not affect continual use of Fintech services. However, only device concern affected the intention to continual use of Fintech services. Research implications or Originality - The results will help to understand the psychology of Fintech service users and develop more stable Fintech services continual use strategies.

Keywords

Acknowledgement

이 논문은 2023년도 상지대학교 교내 연구비 지원에 의한 것임.

References

  1. Abdekhoda, M., A. Pourrasmi, and F. Ranjbaran (2023), "The Effect of Knowledge Acquisition and Knowledge Sharing on the Use of E-learning", Journal of Information Science, 0(0). https://doi.org/10.1177/01655515221142429 (Forthcomming)
  2. Ajzen, I. (1991), "The Theory of Planned Behavior", Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
  3. Alrawad, M., A. Lutfi, S. Alyatama, A. Al Khattab, S. S. Alsoboa, M. A. Almaiah et al. (2023), "Assessing Customers Perception of Online Shopping Risks: A Structural Equation Modeling-based Multigroup Analysis", Journal of Retailing and Consumer Services, 71, 103188.
  4. Battacherjee, A. (2001), "Understanding Information Systems Continuance: An Expectation-Confirmation Model", MIS Quarterly, 25(3), 351-370. https://doi.org/10.2307/3250921
  5. Bommer, W. H., E. Milevoj, and S. Rana (2023), "A Meta-analytic Examination of the Antecedents Explaining the Intention to Use Fintech", Industrial Management & Data Systems, 123(3), 886-909. https://doi.org/10.1108/IMDS-03-2022-0170
  6. Boston Consulting Group and QED Investors (2023), "Global Fintech 2023: Reimagining the Future of Finance, May 3, 2023", Boston Consulting Group Website (Accessed: May 2, 2024). https://www.bcg.com/publications/2023/future-of-fintech-and-banking
  7. Cho, E. and H. Kim (2015), "A Study on the Promotion of Mobile Easy Payment Services in the Fintech Era", Informatization Policy, 22(4), 22-44 (In Korean) https://doi.org/10.22693/NIAIP.2015.22.4.022
  8. Cohen, J. (1977), Statistical Power Analysis for the Behavioral Sciences, Lawrence Erlbaum Associates, Inc.
  9. Dinev, T. and P. Hart (2006), "An Extended Privacy Calculus Model for e-Commerce Transactions", Information Systems Research, 17(1), 61-80. https://doi.org/10.1287/isre.1060.0080
  10. Firmansyah, E. A., M. Masri, M. Anshari, and M. H. A. Besar (2023), "Factors Affecting Fintech Adoption: A Systematic Literature Review", FinTech, 2(1), 21-33. https://doi.org/10.3390/fintech2010002
  11. Fishbein, M. and I. Ajzen (1975), Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Reading, MA: Addison-Wesley,
  12. Furnham, A. and H. C. Boo (2011), "A Literature Review of the Anchoring Effect", The Journal of Socio-Economics, 40(1), 35-42. https://doi.org/10.1016/j.socec.2010.10.008
  13. Hair Jr, J. F., M. Sarstedt, C. M. Ringle, and S. P. Gudergan (2023), Advanced Issues in Partial Least Squares Structural Equation Modeling, SAGE publications.
  14. Hilgard, E. R. (1980), "The Trilogy of Mind: Cognition, Affection, and Conation", Journal of the History of the Behavioral Sciences, 16(2), 107-117. https://doi.org/10.1002/1520-6696(198004)16:2<107::AID-JHBS2300160202>3.0.CO;2-Y
  15. Hur, Y. and S. Lim (2017), "An Empirical Study on the Impact of Perceived Security and Trust of IoT-based Smart Banking Services on the Spread of Service Use - Focusing on College Students", Insurance Finance Research, 28(1), 33-62. (In Korean) https://doi.org/10.23842/jif.2017.28.1.002
  16. Irimia-Dieguez, A., F. Velicia-Martin, and M. Aguayo-Camacho (2023), "Predicting FinTech Innovation Adoption: The Mediator Role of Social Norms and Attitudes", Financial Innovation, 9(1), 1-23. https://doi.org/10.1186/s40854-022-00434-6
  17. Kim, D. J., D. L. Ferrin and H. R. Rao (2008), "A Trust-based Consumer Decision Making Model in Electronic Commerce: The Role of Trust, Perceived Risk and Their Antecedents", Decision Support Systems, 44(2), 544-564. https://doi.org/10.1016/j.dss.2007.07.001
  18. Kim, Y. H., D. J. Kim and K. Wachter (2013), "A Study of Mobile User Engagement (MoEN): Engagement Motivations, Perceived Value, Satisfaction, and Continued Engagement Intention", Decision Support Systems, 56, 361-370. https://doi.org/10.1016/j.dss.2013.07.002
  19. Lee, J. (2018), "Analysis of Domestic IoT Security Research Trends Viewed from the IoT Ecosystem SPND-Se Model", Security Engineering Research Journal, 12(4), 397-414. (In Korean)
  20. Ljubi, K. and A. Groznik (2023), "Role Played by Social Factors and Privacy Concerns in Autonomous Vehicle Adoption", Transport Policy, 132, 1-15. https://doi.org/10.1016/j.tranpol.2022.12.013
  21. Liu, H., T. Hirayama, L. Y. Morales Saiki, and H. Murase (2023), "Implicit Interaction with an Autonomous Personal Mobility Vehicle: Relations of Pedestrians' Gaze Behavior with Situation Awareness and Perceived Risks", International Journal of Human-Computer Interaction, 39(10), 2016-2032. https://doi.org/10.1080/10447318.2022.2073006
  22. Milne, G. R. and M. E. Boza (1999), "Trust and Concern in Consumers' Perceptions of Marketing Information Management Practices", Journal of interactive Marketing, 13(1), 5-24. https://doi.org/10.1002/(SICI)1520-6653(199924)13:1<5::AID-DIR2>3.0.CO;2-9
  23. Mohit, H., V. L. Johnson and E. S. Memarian (2023), "Social Media Continuance from the Perspective of Commitment", Journal of Computer Information Systems, 63(4), 904-918.  https://doi.org/10.1080/08874417.2022.2112916
  24. Namahoot, K. S. and V. Jantasri (2023), "Integration of UTAUT Model in Thailand Cashless Payment System Adoption: The Mediating Role of Perceived Risk and Trust", Journal of Science and Technology Policy Management, 14(4), 634-658. https://doi.org/10.1108/JSTPM-07-2020-0102
  25. Neves, J., O. Ture and T. Oliveira (2023), "SNS Use Reduction: a Two-Facet Privacy Concern Perspective", Internet Research, 33(3), 974-993. https://doi.org/10.1108/INTR-01-2022-0012
  26. Nunez-Barriopedro, E., P. Cuesta-Valino and S. Mansori-Amar (2023), "The Role of Perceived Usefulness and Annoyance on Programmatic Advertising: The Moderating Effect of Internet User Privacy and Cookies", Corporate Communications: An International Journal, 28(2), 311-324. https://doi.org/10.1108/CCIJ-03-2022-0033
  27. Nunnally, J. C. and I. H. Bernstein (1994), Psychometric Theory, 3rd edition. McGraw-Hill, New York,
  28. Oh, S., M. J. Park, T. Y. Kim and J. Shin (2023), "Marketing Strategies for Fintech Companies: Text Data Analysis of Social Media Posts", Management Decision, 61(1), 243-268. https://doi.org/10.1108/MD-09-2021-1183
  29. Pavlou, P. A. (2003), "Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model", International Journal of Electronic Commerce, 7(3), 101-134. https://doi.org/10.1080/10864415.2003.11044275
  30. Rizvi, S. K. A., B. Rahat, B. Naqvi and M. Umar (2024), "Revolutionizing Finance: The Synergy of Fintech, Digital Adoption, and Innovation", Technological Forecasting and Social Change, 200, 123112.
  31. Sampat, B., E. Mogaji and N. P. Nguyen (2024), "The Dark Side of FinTech in Financial Services: A Qualitative Enquiry into FinTech Developers' Perspective", International Journal of Bank Marketing, 42(1), 38-65. https://doi.org/10.1108/IJBM-07-2022-0328
  32. Slaton, K. and D. S. Testa (2023), "Small Concept Luxury Department Stores: Psychographic Characteristics Affecting Patronage Intentions", International Journal of Retail & Distribution Management, 51(6), 826-844. https://doi.org/10.1108/IJRDM-11-2022-0475
  33. Son, J. Y. and S. S. Kim (2008), "Internet Users' Information Privacy-Protective Responses: A Taxonomy and a Nomological Model", MIS quarterly, 32(3), 503-529. https://doi.org/10.2307/25148854
  34. Venkatesh, V., M. G. Morris, G. B. Davis and F. D. Davis, "User Acceptance of Information Technology: Toward a Unified View", MIS Quarterly, 27(3), 2003, pp. 425-478. https://doi.org/10.2307/30036540
  35. Venkatesh, V., J. Y. Thong and X. Xu, "Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology", MIS quarterly, 36(1), 2012, pp. 157-178. https://doi.org/10.2307/41410412
  36. Won, H. M. (2023), Uneasy Simple Payment... Accident Amount over 5 Years Exceeds 1.3 Billion Won, Yonhap News, September 1, 2023 (accessed May 2, 2024). https://www.yna.co.kr/view/AKR20230901036800002?input=1179m (In Korean)
  37. Wu, K. W., S. Y. Huang, D. C. Yen and I. Popova (2012), "The Effect of Online Privacy Policy on Consumer Privacy Concern and Trust", Computers in Human Behavior, 28(3), 889-897. https://doi.org/10.1016/j.chb.2011.12.008
  38. Xu, H., T. Dinev, J. Smith and P. Hart (2011), "Information Privacy Concerns: Linking Individual Perceptions with Institutional Privacy Assurances", Journal of the Association for Information Systems, 12(12), 798-824. https://doi.org/10.17705/1jais.00281
  39. Yon, D., D. Moon and H. Kim (2018), "A Study on the Facilitating Usage of Online Simple Payment Service", The Journal of Information Systems, 27(4), 203-227 (In Korean) https://doi.org/10.5859/KAIS.2018.27.4.203
  40. Zhou, T. and H. Li (2014), "Understanding Mobile SNS Continuance Usage in China from the Perspectives of Social Influence and Privacy Concern", Computers in Human Behavior, 37, 283-289.  https://doi.org/10.1016/j.chb.2014.05.008