The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Toward an understanding of the behavioral intention to use mobile banking
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
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
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
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
Self-efficacy mechanism in human agency
Bandura, A. (1982) · American Psychologist · doi:10.1037/0003-066x.37.2.122 · Cited by 15,975
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
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
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
Venkatesh, V. (2000) · Information Systems Research · doi:10.1287/isre.11.4.342.11872 · Cited by 6,664
Cited by
Integrating TTF and UTAUT to explain mobile banking user adoption
Zhou, T., Lu, Y., & Wang, B. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.01.013 · Cited by 1,696
Inexperience and experience with online stores: the importance of TAM and trust
Gefen, D., Karahanna, E., & Straub, D. W. (2003) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2003.817277 · Cited by 965
Baptista, G., & Oliveira, T. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.04.024 · Cited by 922
Lin, H.-F. (2011) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2010.07.006 · Cited by 912
Self-citationExtending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM
Oliveira, T., Faria, M., Thomas, M. A., & Popovič, A. (2014) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2014.06.004 · Cited by 808
Yang, S., Lu, Y., Gupta, S., Cao, Y., & Zhang, R. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2011.08.019 · Cited by 679
Hengstler, M., Enkel, E., & Duelli, S. (2016) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2015.12.014 · Cited by 661
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
What drives Malaysian m-commerce adoption? An empirical analysis
Tsu Wei, T., Marthandan, G., Yee‐Loong Chong, A., Ooi, K., & Arumugam, S. (2009) · Industrial Management & Data Systems · doi:10.1108/02635570910939399 · Cited by 550
Hsu, M.-H., Yen, C.-H., Chiu, C.-M., & Chang, C.-M. (2006) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2006.04.004 · Cited by 490
TUNG, F., CHANG, S., & CHOU, C. (2008) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2007.06.006 · Cited by 476
Factors affecting purchase intention on mobile shopping web sites
Lu, H., & Yu‐Jen Su, P. (2009) · Internet Research · doi:10.1108/10662240910981399 · Cited by 466
Acceptance of mobile banking framework in Pakistan
Afshan, S., & Sharif, A. (2016) · Telematics and Informatics · doi:10.1016/j.tele.2015.09.005 · Cited by 376
Amoako-Gyampah, K. (2007) · Computers in Human Behavior · doi:10.1016/j.chb.2004.12.002 · Cited by 345
Online banking adoption: an empirical analysis
Yee‐Loong Chong, A., Ooi, K., Lin, B., & Tan, B. (2010) · International Journal of Bank Marketing · doi:10.1108/02652321011054963 · Cited by 343
Consumer acceptance of internet banking: The influence of internet trust
Grabner‐Kräuter, S., & Faullant, R. (2008) · International Journal of Bank Marketing · doi:10.1108/02652320810913855 · Cited by 316
Pan, S., & Jordan-Marsh, M. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.03.015 · Cited by 300
Factors affecting adoption of online banking: A meta-analytic structural equation modeling study
Montazemi, A. R., & Qahri-Saremi, H. (2015) · Information & Management · doi:10.1016/j.im.2014.11.002 · Cited by 293
Arfi, W. B., Nasr, I. B., Kondrateva, G., & Hikkerova, L. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120688 · Cited by 290
Marriott, H. R., & Williams, M. D. (2018) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2018.01.017 · Cited by 270
A unified perspective on the factors influencing usage intention toward mobile financial services
Lee, Y.-K., Park, J.-H., Chung, N., & Blakeney, A. (2012) · Journal of Business Research · doi:10.1016/j.jbusres.2011.02.044 · Cited by 261
Tsai, J.-M., Cheng, M.-J., Tsai, H.-H., Hung, S.-W., & Chen, Y.-L. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.03.003 · Cited by 257
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
QR code and mobile payment: The disruptive forces in retail
Yan, L.-Y., Tan, G. W.-H., Loh, X.-M., Hew, J.-J., & Ooi, K.-B. (2021) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102300 · Cited by 252
Gamal Aboelmaged, M. (2010) · Industrial Management & Data Systems · doi:10.1108/02635571011030042 · Cited by 240
An extended UTAUT model to explain the adoption of mobile banking
Bhatiasevi, V. (2016) · Information Development · doi:10.1177/0266666915570764 · Cited by 237
Wang, Y.-S., Yeh, C.-H., & Liao, Y.-W. (2013) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2012.09.004 · Cited by 222
Roles of perceived value and individual differences in the acceptance of mobile coupon applications
Liu, F., Zhao, X., Chau, P. Y. K., & Tang, Q. (2015) · Internet Research · doi:10.1108/intr-02-2014-0053 · Cited by 218
Identifying relevant segments of AI applications adopters – Expanding the UTAUT2’s variables
Cabrera-Sánchez, J.-P., Villarejo-Ramos, Á. F., Liébana-Cabanillas, F., & Shaikh, A. A. (2021) · Telematics and Informatics · doi:10.1016/j.tele.2020.101529 · Cited by 146
Kim, T. (., Suh, Y. K., Lee, G., & Choi, B. G. (2010) · International Journal of Tourism Research · doi:10.1002/jtr.787 · Cited by 139
Nursing students’ behavioral intention to use online courses: A questionnaire survey
Tung, F.-C., & Chang, S.-C. (2008) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2007.09.011 · Cited by 109
(2013) · Journal of electronic commerce research · Cited by 102
Jariyapan, P., Mattayaphutron, S., Gillani, S. N., & Shafique, O. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.814087 · Cited by 102
A Study of Factors Affecting the Intention to Use Mobile Payment Services in Vietnam
Liu, G.-S., & Tai, P. T. (2016) · Economics World · doi:10.17265/2328-7144/2016.06.001 · Cited by 92
de Blanes Sebastián, M. G., Antonovica, A., & Sarmiento Guede, J. R. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.122235 · Cited by 86
Mobile Banking Adoption: Examining the Role of Personality Traits
Agyei, J., Sun, S., Abrokwah, E., Penney, E. K., & Ofori-Boafo, R. (2020) · Sage Open · doi:10.1177/2158244020932918 · Cited by 69
A new hybrid model for exploring the adoption of online nursing courses
Tung, F.-C., & Chang, S.-C. (2008) · Nurse Education Today · doi:10.1016/j.nedt.2007.06.003 · Cited by 53
Technology Adoption and Diffusion: A New Application of the UTAUT Model
Barrane, F. Z., Karuranga, G. E., & Poulin, D. (2018) · International Journal of Innovation and Technology Management · doi:10.1142/s0219877019500044 · Cited by 39
Message framing and acceptance of branchless banking technology
Kurila, J., Lazuras, L., & Ketikidis, P. H. (2016) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2016.02.001 · Cited by 36
Financial technology adoption among small and medium enterprises in Ghana
Krah, R., Tetteh, L. A., Boateng, A., & Amankwa, R. F. (2024) · Cogent Business & Management · doi:10.1080/23311975.2024.2321786 · Cited by 36
“…coordinate the services into their everyday exercises (Kleijnen et al., 2004) and how it can upgrade their transaction (chen, 2008). according to luarn and lin (2005), the ultimate aim users exploit fintech is that they can find them helpful. the empirical examination of the impact of perceived…”
Aceptación del e-commerce en Colombia: un estudio para la ciudad de Medellín
Tavera Mesías, J. F., Sánchez Giraldo, J. C., & Ballesteros Díaz, B. (2011) · Revista Facultad de Ciencias Económicas · doi:10.18359/rfce.2245 · Cited by 29
Taneja, S., Ali, L., Siraj, A., Ferasso, M., Luthra, S., & Kumar, A. (2024) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2024.3395130 · Cited by 26
Use of workplace health promotion apps: Analysis of employee log data
Billmann, M., Böhm, M., & Krcmar, H. (2020) · Health Policy and Technology · doi:10.1016/j.hlpt.2020.06.003 · Cited by 14
Sun, S., Xiong, C., & Chang, V. (2019) · International Journal of Enterprise Information Systems · doi:10.4018/ijeis.2019010102 · Cited by 11
Metadata
- Authors
- Luarn, P., & Lin, H.-H.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2005-11
- Volume
- 21
- Issue
- 6
- Pages
- 873-891
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2088504266
- Cited by
- 1,961
- References
- 19
- FWCI
- 49.52
- 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
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.