References
- Anderson, J. C. and Gerbing D. W.(1982). Some Methods for Respecifying Measurement Models to Obtain Unidimensional Construct Measurement, Journal of Marketing Research, 19(4), 453-460. https://doi.org/10.1177/002224378201900407
- Bae, J. K. (2018). A Study on the Determinant Factors of Innovation Resistance and Innovation Acceptance on Internet Primary Bank Services: Combining the Theories of Innovation Diffusion and Innovation Resistance, The e-Business Studies, 19(2), 91-104. https://doi.org/10.20462/TeBS.2018.4.19.2.91
- Bhatiasevi, V. (2016). An Extended UTAUT Model to Explain the Adoption of Mobile Banking, Information Development, 32(4), 799-814. https://doi.org/10.1177/0266666915570764
- Browne, M. W. and Cudeck, R. (1992). Alternative Ways of Assessing Model Fit, Sociological Methods & Research, 21(2), 230-258.
- Businesspost(2023.06.22.). Commercial Banks Are Still Competing To Dominate The Mydata Market, And They Are Also Eager To Give Coffee And Upgrade Services, https://www.businesspost.co.kr/BP?command=article_view&num=318895&key=%EB%A7%88%EC%9D%B4%EB%8D%B0%EC%9D%B4%ED%84%B0 (Accessed on Jnu. 2nd, 2024)
- Chang, Y. H. and Park, B. (2010). Adoption Model of Microblog: An Integrated Approach to Media Adoption Studies, Korean Journal of Journalism & Communication Studies, 54(5), 32-58.
- Chae, H. G., Lee, G. H. and Lee, J. Y. (2021). Analysis of Domestic and Foreign Financial Security ResearchActivities and Trends through Topic Modeling Analysis, Journal of Korea Society of Industrial Information Systems, 26(1), 83-95.
- Cho, J. and Lee, B. G. (2022). Study on Potential Topics of the MyData and Data Transactions Using LDA Topic Modeling, Journal of Digital Convergence, 20(3), 221-229. https://doi.org/10.14400/JDC.2022.20.3.221
- Choi, S. (2016). A Study on the Influence of System Quality Characteristics of Mobile Payment Service on Innovation Resistance and Continuous Usage Intention, Master Thesis, Soongsil University, Korea.
- Cooper, R. B. and Zmud, R. W. (1990). Information Technology Implementation Research: A Technological Diffusion Approach, Management Science, 36(2), 123-139. https://doi.org/10.1287/mnsc.36.2.123
- Davis. F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
- DeLone, W. and McLean, E. (1992). Information Systems Success: The Quest for the Dependent Variable, Journal of Management Information Systems, 3(4), 60-95. https://doi.org/10.1287/isre.3.1.60
- Dhebar, A. (1996). Speeding High-tech Producer, Meeting the Balking Customer, Sloan Management Review, 37(2), 37-49.
- Fornell, C. and Larcker, D. F. (1981), Evaluating Structural Equation Models with Unobservable Variables and Measurement Error, Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.1177/002224378101800104
- Han, D. Y., Kim, Y. J., Kim, E. S. and Kim, S. J. (2022). An Empirical Study on the Determinants of User Acceptance of Financial MyData Services : Based on UTAUT2 and ISSM, Productivity Research: An International Interdisciplinary Journal, 36(4), 5-50. https://doi.org/10.15843/kpapr.36.4.2022.10.5
- Holak, S. L. and Lehmann, D. R. (1990) Purchase Intentions and the Dimensions of Innovation: An Exploratory Model, Journal of P roduct Innovation Management, 7(1), 59-73. https://doi.org/10.1016/0737-6782(90)90032-A
- Hwang, S. H. and Kim, J. K. (2018). The Study of User Resistance to Fintech Payment Service: In the Perspective of Innovation Diffusion And Status Quo Bias Theory, The Journal of Information Systems, 27(1), 133-151. https://doi.org/10.5859/KAIS.2018.27.1.133
- Jeong, H. S. (2013). Determinant Factors of Innovation Resistance of Social Media, The Journal of the Korea Contents Association, 13(6), 158-166. https://doi.org/10.5392/JKCA.2013.13.06.158
- Jung, H. (2022). A Study on the Privacy Information Disclosure Behavior of MyData Service Users: Structural Relationship between Technology Acceptance Model, Privacy Calculus and Privacy Paradox, Journal of Communication Research, 59(3), 5-63.
- Jung, H. and Lee, J. H. (2022). A Study on Privacy Attitude and Protection Intent of MyData Users: The Effect of Privacy
- Cynicism, Informatization Policy, 29(2), 37-65. Kim, B. S. and Woo, J. J. (2019). A Study on the Intention to Use AI Speakers: Focusing on Extended Technology Acceptance Model, The Journal of the Korea Contents Association, 19(9), 1-10.
- Kim, D. W. (2023). A Study on the Relationship of Innovation Characteristics, Innovation Resistance, Absorptive Capacity, and Acceptance Intention : Focusing on Smart Construction, Master Thesis, Graduate School of Management of Technology Korea University, Korea.
- Kim, H. (2018). The Effects of e-Service Quality on Satisfaction and Continuance Intention in Cryptocurrency Exchange, Journal of Korea Society of Industrial Information Systems, 23(6), 113-123.
- Kim, H. J., Lee, J. M. and Rha, J. Y. (2017a). Consumer Resistance to Smartwatches: Two Types of Innovation Resistance, Consumer Policy and Education Review, 13(4), 101-123. https://doi.org/10.15790/cope.2017.13.4.101
- Kim, J. R. (2020). Factors Affecting Intention to Introduce Smart Factory in SMEs - Including Government Assistance Expectancy and Task Technology Fit, Journal of Venture Innovation, 3(2), 41-76.
- Kim, J. H., Lee, J. H. and Park, H. J. (2017b). A Study On Innovation Resistance to Home IoT Provided By Telecom Operator, Entrue Journal of Information Technology, 16(2), 25-40.
- Kim, J. W. (2020b). The Effects of Unmanned Train's Innovation Technology Characteristics on Innovative Resistance and Acceptance Intention of Users, Master Thesis, Seoul National University of Science and Technology, Korea.
- Kim, J. and Seok, J. (2023). The Effect of Consumers' Innovation Resistance on Intention to Use of the Fintech Platform: Focusing on the P2P Finance Platforms, Journal of Consumer Studies, 34(1), 113-127. https://doi.org/10.35736/JCS.34.1.6
- Kim, S., Park, H. and Sohn, C. (2023). Inadividual Behaviors Regarding Financial MyData Service Resistance: Impacts of Innovation Resistance and Distruct, Information Systems Review, 25(4), 291-314. https://doi.org/10.14329/isr.2023.25.4.291
- Kim, Y. (2016). A Study on Adoption of IoT Smart Home Service : Based on Contingent Valuation Method and Value-based Adoption Model, Ph. D. Thesis, Soongsil University, Korea.
- Kim, Y. and Choi, Y. (2009). Determinants of Psychological Resistance against IPTV - Modification of Innovation Resistance Model, Korean Journal of Broadcasting & Telecommunications Research, 69, 163-191.
- Kuisma, T., Laukkanen, T. and Hiltunen, M. (2007). Mapping the Reasons For Resistance to Internet Banking: a Means-End Approach, International Journal Of Information Management, 27(2), 75-85. https://doi.org/10.1016/j.ijinfomgt.2006.08.006
- Lee, C., Yun, H., Lee, C. and Lee, C. C. (2015). Factors Affecting Continuous Intention to Use Mobile Wallet : Based on Value-based Adoption Model, The Journal of Society for e-Business Studies, 20(1), 117-135. https://doi.org/10.7838/jsebs.2015.20.1.117
- Lee, J., Choi, J. and Choi, J. (2022). A Study on the Intention to Use MyData Service based on Open Banking, Journal of Information Technology Services, 21(1), 1-19.
- Lee, J. H. (2022). A Study on Strategic Use of MyData: Focused in Financial Services, Journal of Digital Convergence, 20(3), 181-189. https://doi.org/10.14400/JDC.2022.20.3.181
- Lee, J. S., Kim, T. K., Kim, B. I. and Chung, J. H. (2016). Development of a Safety Management Manual for Public Libraries, Journal of the Korean Society for Library and Information Science, 50(2), 77-100. https://doi.org/10.4275/KSLIS.2016.50.2.077
- Lee, M. B. (2011). A Study on Exploring Factors Influencing Continuance Intention in the SNS, Journal of Korea Society of Industrial Information Systems, 16(5), 151-161. https://doi.org/10.9723/jksiis.2011.16.5.151
- Lee, S. H. and Chang, H. (2022). A Study on Acceptance Factors of Financial Mydata Service from Information Security Perspectives, The Journal of Society for e-Business Studies, 27(2), 137-152.
- Lee, T. and Sung, H. (2023). A Study on the Intention of Early Users of Digital Finance baesd Mydata Service Application, The Journal of Information Systems, 23(1), 01-21.
- Lim, S. H., Lee, C. K., Cha, K. J. and Seo, J. (2015). The Innovation Resistance of IT Workforce to Mobile Commerce, The Journal of Society for e-Business Studies, 20(1), 61-78. https://doi.org/10.7838/jsebs.2015.20.1.061
- Linlin, Z. (2022). A Study on the Influence of F ace Recognition Payment Service on Intention to Use as a Median of Innovation Resistance: Focusing on Comparison between Korea and China, Ph. D. Thesis, Pukyong National University, Korea.
- MacCallum, R. C., Browne, M. W. and Sugawara, H. M. (1996). Power Analysis And Determination Of Sample Size For Covariance Structure Modeling, Psychological methods, 1(2), 130.
- Maeililbo, (2023.11.19.) 3 Telecom Companies Start Competition to P reoccupy MyData Market, https://www.m-i.kr/newsarticleView. html?idxno=1066698 (Accessed on Dec. 27th, 2023)
- Mou, J. (2011). A Study on User Resistance of Mobile Banking: Focused on the On-Line Security, Master Thesis, Department of Business Administration Graduate School Pusan National University, Korea.
- Noh, H. (2021). MyData Business Status and Insurance Company Implications, Korea Insurance Research Institue Report, 2021(4), 1-87.
- Oh, J. C. (2019). An Study on the Usage Intention of Cloud Office Services: Focusing on the Moderating Effect of Innovation Resistance, The e-Business Studies, 20(7), 165-182. https://doi.org/10.20462/TeBS.2019.12.20.7.165
- Oh, S. H. and Kim, S. H. (2006). Structual Relationships among Factors Affecting Usage of Internet Banking: Focusing on Extended Technology Acceptance Model, Korean Journal of Marketing, 21(1), 1-27.
- Oh, S. and Lee, J. (2021). The Current State of MyData in Domestic and International Contexts and Key Overseas Case, Korea Development Bank Issue, 784, 3-25.
- Park, C. (2019). The Design and Implementation of Blockchain based Recruitment System Applying UTAUT Theory, Ph. D. Thesis, Graduate School Chonnam National University, Korea.
- Park, Ch. K. and Seo, Y. (2020). A Study on the Relationship between Smart Factory-Related Technology, Innovation Resistance, and Technology Intention, Korean Business Education Review, 35(4), 167-197. https://doi.org/10.23839/kabe.2020.35.4.167
- Park, J. (2013). The Theory of New Media Adoption, CommunicationBooks.
- Park, J. S. and Kwon, H. I. (2018). A Study on the Factors Influencing Innovation Resistance and Intention of Using on the Biometrics Technology, The Journal of Information Systems, 27(2), 53-75.
- Park, Y. G and Ok, S. J. (2022). A Study for Financial Service Consumers' Innovation Resistance on Intention to Blockchain, The Journal of Internet Electronic Commerce Research, 22(5), 95-113. https://doi.org/10.37272/JIECR.2022.10.22.5.95
- Ram, S. and Sheth, J. N. (1989). Consumer Resistance to Innovations: The Marketing Problem and its Solutions, Journal of Consumer Marketing, 6(2), 5-14. https://doi.org/10.1108/EUM0000000002542
- Ram, S. (1987). A Model of Innovation Resistance, Advances in Consumer Research, 14(1), 208-212.
- Reid, M. and Levy, Y. (2008). Integrating trust and computer self-efficacy with TAM: An Empirical Assessment of Customers' Acceptance of Banking Information Systems (BIS) in Jamaica, Journal of Internet Banking and Commerce, 12(3), 1-18.
- Rogers, E. M. (2003). Diffusion of Innovations (5th ed.), New York, NY: The Free Press, 2003.
- Samjong KPMG (2020). The Beginning of Data Economy: MyData, with a F ocus on the Financial Industry, Samjong Insight, 68.
- Seo, K. K. (2013). Factor Analysis of the Cloud Service Adoption Intension of Korean Firms: Applying the TAM and VAM, Journal of Digital Convergence, 11(12), 155-160. https://doi.org/10.14400/JDPM.2013.11.12.155
- Shankar, V., Urban, G. L. and Sultan, F. (2002). Online Trust: A Stakeholder Perspective, Concepts, Implications, And Future Directions, The Journal of Strategic Information Systems, 11(3-4), 325-344. https://doi.org/10.1016/S0963-8687(02)00022-7
- Sheth, N. J. (1981). Psychology of Innovation Resistance; The less developed concept (LDC) in Diffusion Research, Research in Marketing, 4, 273-282.
- Shin, J. G. and Lee, S. W. (2016). A Study of Intention to Use Wrist-worn Wearable Devices Based on Innovation Resistance Model - Focusing on the Relationship between Innovation Characteristics, Consumer Characteristics, and Innovation Resistance, The Journal of the Korea Contents Association, 16(6), 123-134. https://doi.org/10.5392/JKCA.2016.16.06.123
- Son, D. H. (2021). A Study on the Factors of Intention of Continued Use of the Convenient Payment Service: The Perspectives of the Flow, the Reliability and the Innovative Resistance, The Journal of Information Systems, 30(1), 01-20.
- Szmigin, I. and Foxall, G. (1998). Three Forms of Innovation Resistance: The Case of Retail Payment Methods, Technovation, 18(6), 459-468. https://doi.org/10.1016/S0166-4972(98)00030-3
- Yang, S. H., Hwang, Y. S. and Park, J. K. (2016). A Study on the Use of Fintech Payment Services Based on the UTAUT Model, Journal of Management & Economics, 38(1), 183-209.
- Yoon, S. K., Kim, M. J. and Choi, J. H. (2014). Effects of Innovation Characteristics and User Characteristics on the Adopting e-Books : Focused on Innovation Resistance Model, The Journal of the Korea Contents Association, 14(8), 61-73. https://doi.org/10.5392/JKCA.2014.14.08.061
- Yun, S. U. (2016). A Study of Integrative Adoption Model Regarding Social TV : Focused on Integrative Approach on Intention of Continuous Use based on Innoation Diffusion Theory, Technology Acceptance Model and Innovation Resistance Model, Journal of Communication Science, 16(2), 145-183. https://doi.org/10.14696/jcs.2016.06.16.2.145
- Zheng, P. Jia. (2016). The Effect of Consumer's Innovation Resistance Toward New Products on SNS's Characteristics to Purchase Intention and Word of Mouth, Master Thesis, Department of Management Graduate School of Konkuk University, Korea.