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http://dx.doi.org/10.7469/JKSQM.2021.49.4.505

The Study on the Intention of the Use of Fintech Digital Sandbox (D-Testbed)  

Lee, Munrak (Dept. of Fintech & Blockchain, Dongguk University-Seoul)
Lee, Won-Boo (Dept. of Fintech & Blockchain, Dongguk University-Seoul)
Son, Youngdoo (Dept. of Fintech & Blockchain, Dongguk University-Seoul)
Publication Information
Journal of Korean Society for Quality Management / v.49, no.4, 2021 , pp. 505-525 More about this Journal
Abstract
Purpose: The purpose of this study was to investigate factors influencing the intention to use Fintech Digital Sand(D-Testbed), which facilitate digital innovation in the financial sectors and allow fintech startups to simulate the PoC their innovative ideas before starting a business. Methods: This study used the Extended Technology Acceptance Model (TAM2), with independent variables such as social influence, personal innovativeness, service quality, relative advantage, and security concerns used in previous studies, for analysis. For mediator variables, the perceived usefulness and perceived ease of use were used in this study. Results: The results indicated that social influence and perceived usefulness have a positive effect on the intention to use. It was also analyzed that relative advantage has a mediating effect on perceived usefulness whereas service quality nor personal innovativeness are not statistically significant mediation. On the other hand, perceived ease of use on the intention is not statistically significant. By this, it was confirmed that the intention to use Fintech Digital Sand(D-Testbed) was to improve the business performance of fintech companies, but not because it was easy to learn and take less effort. Conclusion: The finding of the study provides valuable implications for invigorating the use of fintech digital sandbox(D-testbed) and identifying the factors that affect the perception and intention to use among employees in fintech companies in advance.
Keywords
Digital Sandbox; D-testbed; Intention to Use; Social Influence; Relative Advantage;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 Kim, Jin-kyung. 2013. A Study on the Usage Intention of Category Types in the Mobile Application Based on the Technology Readiness and Acceptance Model. Ph.D. diss.. Gongju National University.
2 Song, Gwangsuk, Kim, Gyuwhan, and Yoo, Hanjoo. 2017. The Effect of Weather Information System' Quality Factor on User Satisfaction and Business Performance. Journal of Korean Society for Quality Management 45(1):93-116.   DOI
3 Venkatesh. V.. J. Y. Thong, and X. Xu. 2012. Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly 36(1):157-178.   DOI
4 Yin, Changlong, Lee, Sae-Bom, Roh, In-Sung, and Suh, Yung-Ho. 2017. Growth and Motivations for Chinese Mobile Payment Service : An Empirical Study Using Ali-Pay and Wechat-Pay Users in Chinese Market. Journal of Korean Society for Quality Management 45(1):139-152.   DOI
5 You, Jae Hyun and Park, Cheol. 2010. A Comprehensive Review of Technology Acceptance Model Researches. Enterprise Journal of Information Technology 9(2):31-50.
6 Kim, Eun-seok, and Kim, Young-joon. 2019. An Empirical Study on Users' Intention to Use Insurtech Digital Insurance Platform Service. Korean Management Review 48(4):997-1043.   DOI
7 Ajzen. 1985. Intention, Perceived Control, and Weight Loss: An Application of the Theory of Planned Behavior. Journal of Personality and Social Psychology 49(3):843-851.   DOI
8 Bandura. 1982. Self-efficacy Mechanism in Human Agency. American Psychologist 37(2):122-147.   DOI
9 Preacher. K. J. & Hayes. A. F. 2008. Asymptotic and Resampling Strategies for Assessing and Comparing Indirect Effects in Multiple Mediator Models. Behavior Research Methods 40(3):879-891.   DOI
10 Venkatesh. V. and F.D. Davis. 2000. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science 46(2):186-204.   DOI
11 Kim, Suyoun and Park, Innwoo. 2019. The Structural Relationship among Intention to Take. Quality. Learning Satisfaction. Achievement and Continued to Use Intention in K-MOOC Learning Environment. Journal of Korean Association for Educational Information and Media 25(3): 525-549.   DOI
12 Kim, Young-hwan and Choi, Soo-il. 2009. Effects of Perceived Service Quality. Usefulness and Easiness on the Consumer Satisfaction and the Continuous Use Intention of IPTV. The Journal of the Korea Contents Association 9(10): 314-327.   DOI
13 Kim, Yun Hwan and Lee, Jae Eun. 2010. The Psychological Resistance Factors against Mobile Video Telephony-Modification of Innovation Resistance Model. Journal of Marketing Management Research 15(2):24-41
14 Financial Services Commission. 2021. Business Plan for Digital Innovation.1: 8-9
15 Tornatzky and Klein. 1982. Innovation characteristics and innovation adoption-implementation: A Meta-analysis of Findings. IEEE Transactions on Engineering Management 29(1):28-45.   DOI
16 Jeon, Soon Cheon. 2014. A Study on Behavioral Intention and Application of Information Systems Audit technology Using the Technology Acceptance Model (TAM). Journal of Advanced Navigation Technology 18(6):609-618.   DOI
17 Oh, Sang Hyun and Kim, Sang Hyeon. 2006. A study on the Extended Technology Acceptance Model and Primary Factors Affecting Usage of Internet Banking: Focusing on the Role of Trust and Compatibility. Journal of Korean National Economy 24(1):175-206.
18 Rogers. E. M. 1983. Diffusion of Innovations. The Free Press. New York.
19 Adams, Nelson, Todd. 1992. Perceived Usefulness. Ease of Use. and Usage of Information Technology: A Replication. Management Information Systems Quarterly 16(2):227-247.   DOI
20 Park, Seo Youn. 2020. A Study on Early Adopter Attitude to Drone- Technology Acceptance Model. Innovation Studies 15(2):1-24.   DOI
21 Bae, Byung-Ryul, Urandelger, Gantulga, Darkhantuya, and Sergelen. 2014. The Effects of Service Worker's Customer Orientation on Organizational Citizenship Behavior. Service Research. The Society of Service Science 4(1):1-19.
22 Davis. 1989. Perceived Usefulness. Perceived Ease of Use. and User Acceptance of Information Technology. Management Information Systems Quarterly 13(3):319-340.   DOI
23 Ko, Youngmi. 2019. FinTech Regulatory Sandboxes in Foreign Countries: Focused on UK and Australian Legislative Cases. Journal of Business Administration & Law 30(1): 287-332.
24 Moon, Yong-Eun., Jeong, Yu Jin. 2004. A Study on the Determinants of Intention to Use Mobile Banking. The Journal of Information Systems 13(2):89-117.
25 Foxall. G. R. 1988. Marketing New Technology: Markets. Hierarchies. and User-Initiated Innovations. Managerial & Decision Economics 9(3):237-250.   DOI
26 Bae, Jihyun, Park, Jihye, Lee, Hanna, and Choi Jeongil. 2019. A Study of Affecting Intention to Using Technology-based Self-services for Smart Airport. Journal of Korean Society for Quality Management 47(4):795-806.
27 Cho, Hee-Soo, Suh Yung-Ho, Lee, Sang-Chul, and Lee, Sae-Bom. 2019. Why Do Laggards Resist the IT Adoption in Public Service?:A Case of Expressway Hi-Pass System.Journal of Korean Society for Quality Management 47(2):367-380.   DOI
28 Financial Services Commission. 2021. Comprehensive Plan for strengthen Financial Regulatory Sandbox. The 6 th Digital Finance Council: 1-4.
29 Jung, Ki Baek and Choi, Suk Bong. 2020. The Effect of Employee Authenticity on Customer Loyalty via Rapport: A Moderated Mediation Model. Journal of Korean Society for Quality Management 48(3):361-379.   DOI