The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
Adoption Intention of Fintech Services for Bank Users: An Empirical Examination with an Extended Technology Acceptance Model
Open accessAbstract
Along with the development of Fintech, many scholars have studied how information technology is applied to financial services with a focus on extended methods for application. Few scholars have studied the influence mechanism behind the adoption of Fintech services. This paper proposes an improved technology acceptance model (TAM) that incorporates user innovativeness, government support, brand image, and perceived risk as determinants of trust to investigate how users adopt Fintech services. We designed a questionnaire, sent it to active customers of the Hefei Science and Technology Rural Commercial Bank, and obtained 387 eligible responses. We analyzed the data with a structural equation model (SEM) to test the hypotheses, including the relationships of all latent variables. The results reveal that users’ trust in Fintech services has a very significant influence on users’ attitudes for adoption. In addition, perceived ease of use and perceived risk does not affect users’ attitudes toward the adoption regarding Fintech services. This study contributes to the literature of the adoption of Fintech services by providing a more comprehensive view of the determinants of users’ attitudes by combining trust of Fintech services with TAM.
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Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
Understanding information technology usage: a test of competing models
Taylor, S., & Todd, P. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.144 · Cited by 8,815
Technology Acceptance Model 3 and a Research Agenda on Interventions
Venkatesh, V., & Bala, H. (2008) · Decision Sciences · doi:10.1111/j.1540-5915.2008.00192.x · Cited by 8,159 · cited 1×
“A large number of empirical studies on the adoption of information technology in the past decade have shown that perceived usefulness can have a positive impact on users’ intentions [22–25].”
BackgroundAssessing construct validity in organizational research
Bagozzi, R. P., Yi, Y., & Phillips, L. W. (1991) · Administrative Science Quarterly · doi:10.2307/2393203 · Cited by 6,621
(1985) · Cited by 6,185
Lewis, J. D., & Weigert, A. (1985) · Social Forces · doi:10.2307/2578601 · Cited by 4,163
Predicting e-services adoption: A perceived risk facets perspective
Featherman, M. S., & Pavlou, P. A. (2003) · International Journal of Human-Computer Studies · doi:10.1016/s1071-5819(03)00111-3 · Cited by 3,351
What trust means in e-commerce customer relationships: an interdisciplinary conceptual typology
McKnight, D. H., & Chervany, N. L. (2001) · International Journal of Electronic Commerce · doi:10.1080/10864415.2001.11044235 · Cited by 2,282
Research works printed but not linked: 6
- Yin, H., and Gai, K. (2015, January 24–26). An Empirical Study on Preprocessing High-Dimensional Class-Imbalanced Data for Classification. Proceedings of the IEEE International Conference on High PERFORMANCE Computing and Communications, New York, NY, USA.
- Mishra, 2018, Financial Management and Forecasting Using Business Intelligence and Big Data Analytic Tools, Int. J. Financ. Eng., 6, 10
- Chang, Y., Wong, S.F., Lee, H., and Jeong, S.P. (2016, January 17–19). What Motivates Chinese Consumers to Adopt Fintech Services: A Regulatory Focus Theory. Proceedings of the International Conference on Electronic Commerce: E-Commerce in Smart Connected World, Suwon, Korea. · DOI
- Saleem, 2014, Relationship between Customer Satisfaction and Mobile Banking Adoption in Pakistan, Int. J. Trade Econ. Financ., 2, 537
- Adeiza, 2017, An Empirical Examination of the Major Relationship Factors Affecting Franchisees’ Overall Satisfaction and Intention to Stay, Iran. J. Manag. Stud., 10, 21
- Chin, 1998, Commentary: Issues and Opinion on Structural Equation Modeling, Mis Q., 22, 7
Cited by
User Innovativeness and Fintech Adoption in Indonesia
Setiawan, B., Nugraha, D. P., Irawan, A., Nathan, R. J., & Zoltan, Z. (2021) · Journal of Open Innovation: Technology, Market, and Complexity · doi:10.3390/joitmc7030188 · Cited by 267
Fintech Adoption Drivers for Innovation for SMEs in Indonesia
Nugraha, D. P., Setiawan, B., Nathan, R. J., & Fekete-Farkas, M. (2022) · Journal of Open Innovation: Technology, Market, and Complexity · doi:10.3390/joitmc8040208 · Cited by 188
A systematic literature review of the role of trust and security on FinTech adoption in banking
Jafri, J. A., Mohd Amin, S. I., Abdul Rahman, A., & Mohd Nor, S. (2024) · Heliyon · doi:10.1016/j.heliyon.2023.e22980 · Cited by 126
Fintech and Financial Health in Vietnam during the COVID-19 Pandemic: In-Depth Descriptive Analysis
Nathan, R. J., Setiawan, B., & Quynh, M. N. (2022) · Journal of Risk and Financial Management · doi:10.3390/jrfm15030125 · Cited by 103
“Hu et al. (2019) integrate moral intention and external variables such as government support and brand image, while Troudi and Bouyoucef (2019) adopt fintech and customer behavior toward green cosmetic products.”
BackgroundResultInfluentialExploring biometric identification in FinTech applications based on the modified TAM
Wang, J. S. (2021) · Financial Innovation · doi:10.1186/s40854-021-00260-2 · Cited by 86
Metadata
- Authors
- Hu, Z., Ding, S., Li, S., Chen, L., & Yang, S.
- Venue
- Symmetry
- Publisher
- MDPI AG
- Published
- 2019-03-07
- Volume
- 11
- Issue
- 3
- Pages
- 340
- ISSN
- 2073-8994 (ISSN-L)
- OpenAlex
- W2920759707
- Cited by
- 573
- References
- 78
- FWCI
- 59.57
- Type
- journal article
- Language
- en
- Open access
- gold
- Funders
- National Natural Science Foundation of China (No. 71571058, 71690235 and 71472001)
- Anhui Provincial Science and Technology Major Project (No. 16030801121 and 17030801001)
- Key Project of Humanities and Social Sciences in Colleges and Universities of Anhui Province (No. SK2017A0443)
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