The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
What makes users willing or hesitant to use Fintech?: the moderating effect of user type
Abstract
Purpose: The purpose of this paper is to better understand why people are willing or hesitant to use Financial technology (Fintech) as well as to determine whether the effect of perceived benefits and risks of continuance intention differs depending on user types. Design/methodology/approach: Original data were collected via a survey of 243 participants with Fintech usage experience. The partial least squares method was used to test the proposed model. Findings: The results reveal that legal risk had the most negative effect on the Fintech continuance intention, while convenience had the strongest positive effect. Differences in specific benefit and risk impacts are found between early and late adopters. Originality/value: This empirical study contributes to the novel understanding of the benefit and risk factors affecting the Fintech continuance intention.
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Cited by
Artificial Intelligence in FinTech: understanding robo-advisors adoption among customers
Belanche, D., Casaló, L. V., & Flavián, C. (2019) · Industrial Management & Data Systems · doi:10.1108/imds-08-2018-0368 · Cited by 851
Point of adoption and beyond. Initial trust and mobile-payment continuation intention
Talwar, S., Dhir, A., Khalil, A., Mohan, G., & Islam, A. K. M. N. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102086 · Cited by 363
Understanding fintech continuance: perspectives from self-efficacy and ECT-IS theories
Shiau, W.-L., Yuan, Y., Pu, X., Ray, S., & Chen, C. C. (2020) · Industrial Management & Data Systems · doi:10.1108/imds-02-2020-0069 · Cited by 322
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
What makes consumers trust and adopt FinTech? An empirical investigation in China
Roh, T., Yang, Y. S., Xiao, S., & Park, B. I. (2024) · Electronic Commerce Research · doi:10.1007/s10660-021-09527-3 · Cited by 164
Metadata
- Authors
- Ryu, H.-S.
- Venue
- Industrial Management & Data Systems
- Publisher
- Emerald
- Published
- 2018-04-09
- Volume
- 118
- Issue
- 3
- Pages
- 541-569
- ISSN
- 0263-5577 (ISSN-L)
- OpenAlex
- W2788984615
- Cited by
- 426
- References
- 53
- FWCI
- 37.32
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
