The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.
The relationship between consumer innovativeness, personal characteristics, and online banking adoption
Abstract
Purpose: This paper explores the relationships between consumer innovativeness, self‐efficacy on the internet, internet attitudes and online banking adoption, while controlling for personal characteristics. Design/methodology/approach: The study integrates the technology acceptance model (TAM) and adoption of innovation framework to develop predictions of online banking acceptance. It distinguishes between innate consumer innovativeness, a generalized personality trait, and internet‐domain‐specific or actualized innovativeness in order to explore consumer characteristics' impact on adoption. Data are analyzed using logistic regression. Findings: While results confirm the positive relationship between internet related innovativeness and online banking they also surprisingly show that general innovativeness is negatively related to online banking. Research limitations/implications: Results may or may not differ according to whether consumers are using online, telephone banking, electronic funds transfer (EFT) or direct bill payment. Our results may generalize to telephone banking and EFT as these products, like online banking, require an active consumer role in using the product. With direct bill payment, consumers need only set up the process initially and then monitor it on a semi‐regular basis. Practical implications: Findings suggest that the type of consumer innovation matters in understanding the adoption of e‐banking processes. This supports the notion that online shoppers are distinct from traditional non‐online shoppers or highlight the unique nature of purchasing financial versus non‐financial products. Banks offering e‐banking need to recognize the importance of internet‐specific consumer innovation characteristics. Originality/value: This paper closes a research gap as the model tested provides insights toward understanding the consumer‐based phenomenon of e‐banking, and serves to evaluate the TAM in this context. In contrast to previous research the study utilized an actual measure of e‐banking adoption versus a measure of intention to use the technology.
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Citations
Cites
Self-efficacy: The exercise of control
Bandura, A., Freeman, W. H., & Lightsey, R. (1999) · Journal of Cognitive Psychotherapy · doi:10.1891/0889-8391.13.2.158 · Cited by 46,835
Self-efficacy: Toward a unifying theory of behavioral change
Bandura, A. (1977) · Psychological Review · doi:10.1037/0033-295x.84.2.191 · Cited by 43,925
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User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066
Self-efficacy: Toward a unifying theory of behavioral change
Bandura, A. (1978) · Advances in Behaviour Research and Therapy · doi:10.1016/0146-6402(78)90002-4 · Cited by 10,586
(1988) · Cited by 6,825
Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value
Babin, B. J., Darden, W. R., & Griffin, M. (1994) · Journal of Consumer Research · doi:10.1086/209376 · Cited by 6,020
Testing Statistical Hypotheses
(2021) · Wiley Series in Probability and Statistics · doi:10.1002/9781119243830.ch12 · Cited by 5,106
A Model of the Antecedents of Perceived Ease of Use: Development and Test
Venkatesh, V., & Davis, F. D. (1996) · Decision Sciences · doi:10.1111/j.1540-5915.1996.tb01822.x · Cited by 3,802
Cited by
Thakur, R., & Srivastava, M. (2014) · Internet Research · doi:10.1108/intr-12-2012-0244 · Cited by 606
Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Algharabat, R. (2018) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2017.08.026 · Cited by 576
Consumer innovativeness and perceived risk: implications for high technology product adoption
Hirunyawipada, T., & Paswan, A. K. (2006) · Journal of Consumer Marketing · doi:10.1108/07363760610674310 · Cited by 419
An Analysis of Factors Affecting on Online Shopping Behavior of Consumers
Moshrefjavadi, M. H., Rezaie Dolatabadi, H., Nourbakhsh, M., Poursaeedi, A., & Asadollahi, A. (2012) · International Journal of Marketing Studies · doi:10.5539/ijms.v4n5p81 · Cited by 383
“Research has revealed that online shopping innovativeness is a function of attitude towards the online environment and individual personal characteristics (Midgley and Dowling, 1978; Eastlick, 1993; Sylke, Belanger, and Comunale, 2004; Lassar et al. , 2005).”
BackgroundThe role of consumer innovativeness and perceived risk in online banking usage
Aldás‐Manzano, J., Lassala‐Navarré, C., Ruiz‐Mafé, C., & Sanz‐Blas, S. (2009) · International Journal of Bank Marketing · doi:10.1108/02652320910928245 · Cited by 364
Metadata
- Authors
- Lassar, W. M., Manolis, C., & Lassar, S. S.
- Venue
- International Journal of Bank Marketing
- Publisher
- Emerald
- Published
- 2005-03-01
- Volume
- 23
- Issue
- 2
- Pages
- 176-199
- ISSN
- 0265-2323 (ISSN-L)
- OpenAlex
- W2063745966
- Cited by
- 477
- References
- 74
- FWCI
- 24.41
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.