The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Mobile banking rollout in emerging markets: evidence from Brazil
Abstract
Purpose: The aim of this paper is to investigate the perceived obstacles to the adoption of mobile banking services among Brazilian internet users and search for patterns according to socio‐demographics variables. Design/methodology/approach: Data were collected through an online survey involving the internet banking customers of a major Brazilian bank. A total of 3,585 usable cases were collected from customers who do not use any kind of mobile devices (cell phones, PDAs or Smartphones) to access electronic banking services. The main reasons for rejecting the service were explored using multidimensional scaling, while chi‐square tests were used to assess differences between socio‐demographic variables. Findings: The results indicate that the majority of respondents do not use any kind of mobile banking service. Perception of cost, risk, low perceived relative advantage and complexity were revealed to be the main reasons behind the reluctance to use the service. The influence of other background factors is less evident. Practical implications: The research has practical implications, as it suggests guidance strategies and presents directions for service enhancement as a key to overcoming the perceived obstacles to m‐banking adoption. Originality/value: This is the first empirical research exploring mobile banking resistance factors in Brazil.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
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
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
Trust and TAM in Online Shopping: An Integrated Model1
Gefen, D., Karahanna, E., & Straub, D. W. (2003) · MIS Quarterly · doi:10.2307/30036519 · Cited by 8,635
Agarwal, R., & Karahanna, E. (2000) · MIS Quarterly · doi:10.2307/3250951 · Cited by 4,726
Assessing IT Usage: The Role of Prior Experience
Taylor, S., & Todd, P. (1995) · MIS Quarterly · doi:10.2307/249633 · Cited by 2,891
Telecommunications Infrastructure and Economic Development: A Simultaneous Approach
Röller, L.-H., & Waverman, L. (2001) · American Economic Review · doi:10.1257/aer.91.4.909 · Cited by 1,815
Consumer acceptance of online banking: an extension of the technology acceptance model
Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., & Pahnila, S. (2004) · Internet Research · doi:10.1108/10662240410542652 · Cited by 1,772
Consumer perceived risk: conceptualisations and models
Mitchell, V. (1999) · European Journal of Marketing · doi:10.1108/03090569910249229 · Cited by 1,582
Cited by
Online shopping drivers and barriers for older adults: Age and gender differences
Lian, J.-W., & Yen, D. C. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.04.028 · Cited by 660
Thakur, R., & Srivastava, M. (2014) · Internet Research · doi:10.1108/intr-12-2012-0244 · Cited by 606
Merhi, M., Hone, K., & Tarhini, A. (2019) · Technology in Society · doi:10.1016/j.techsoc.2019.101151 · Cited by 555
Acceptance of mobile banking in Islamic banks: Evidence from modified UTAUT model
Raza, S. A., Shah, N., & Ali, M. (2019) · Journal of Islamic marketing · doi:10.1108/jima-04-2017-0038 · Cited by 257
An extended UTAUT model to explain the adoption of mobile banking
Bhatiasevi, V. (2016) · Information Development · doi:10.1177/0266666915570764 · Cited by 237
Metadata
- Authors
- Cruz, P., Barretto Filgueiras Neto, L., Muñoz‐Gallego, P., & Laukkanen, T.
- Venue
- International Journal of Bank Marketing
- Publisher
- Emerald
- Published
- 2010-07-27
- Volume
- 28
- Issue
- 5
- Pages
- 342-371
- ISSN
- 0265-2323 (ISSN-L)
- OpenAlex
- W2001298008
- Cited by
- 347
- References
- 12
- FWCI
- 26.88
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Mobile banking rollout in emerging markets: evidence from Brazil. https://app.cochat.ai/papers/10.1108/02652321011064881
- The paper
- Cruz, P., Barretto Filgueiras Neto, L., Muñoz‐Gallego, P., & Laukkanen, T. (2010). Mobile banking rollout in emerging markets: evidence from Brazil. International Journal of Bank Marketing. https://doi.org/10.1108/02652321011064881
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.