The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Initial trust and the adoption of B2C e-commerce: The case of internet banking
Abstract
A possible reason for the delayed acceptance of the Internet as a retail distribution channel may be the lack of trust consumers have in the electronic channel and in the Web merchants. Few prior studies on the adoption of business-to-consumer e-commerce have considered trust in information technology as an important determinant of adoption behavior. This research explicitly encompasses the electronic channel and the merchant as objects to be trusted in a specific e-commerce application, i.e. Internet banking.Our conceptual model posits that initial trust in the electronic channel as a banking medium and trust in bank are the major determinants of adoption behavior. Based on social network theory and trust theory, determinants of trust in the electronic channel such as propensity-to-trust, word-of-mouth (WOM) referrals, structural assurances, are included in the research model.The analyses of independent variables indicated that propensity-to-trust, structural assurances, and relational content of WOM were significant predictors of initial trust in the electronic channel. Our findings also indicated that a significant relationship exists between initial trust in the electronic channel and the adoption of Internet banking. However, further analysis revealed that trust could be a necessary but not a sufficient condition for the adoption of Internet 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
Deutsch, M. (1958) · Journal of Conflict Resolution · doi:10.1177/002200275800200401 · Cited by 2,077
Reconceptualizing the Determinants of Risk Behavior
Sitkin, S. B., & Pablo, A. L. (1992) · The Academy of Management Review · doi:10.2307/258646 · Cited by 2,057
Understanding the influence of national culture on the development of trust
Doney, P. M., Cannon, J. P., & Mullen, M. R. (1998) · The Academy of Management Review · doi:10.2307/259297 · Cited by 1,844
The social control of impersonal trust
Shapiro, S. P. (1987) · American Journal of Sociology · doi:10.1086/228791 · Cited by 1,725
Cited by
Trust in a specific technology: An investigation of its components and measures
Mcknight, D. H., Carter, M., Thatcher, J. B., & Clay, P. F. (2011) · ACM Transactions on Management Information Systems · doi:10.1145/1985347.1985353 · Cited by 1,185
Extending 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
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
EVERARD, A., & GALLETTA, D. F. (2005) · Journal of Management Information Systems · doi:10.2753/mis0742-1222220303 · Cited by 451
How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents
Moussawi, S., Koufaris, M., & Benbunan-Fich, R. (2021) · Electronic Markets · doi:10.1007/s12525-020-00411-w · Cited by 406
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
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
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
Trust in consumer-to-consumer electronic commerce
Jones, K., & Leonard, L. N. K. (2008) · Information & Management · doi:10.1016/j.im.2007.12.002 · Cited by 272
Influencing factors of trust in consumer-to-consumer electronic commerce with gender and age
Yoon, H. S., & Occeña, L. G. (2015) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2015.02.003 · Cited by 192
Factors influencing adoption of e-payment systems: an empirical study on Iranian customers
Barkhordari, M., Nourollah, Z., Mashayekhi, H., Mashayekhi, Y., & Ahangar, M. S. (2017) · Information Systems and e-Business Management · doi:10.1007/s10257-016-0311-1 · Cited by 143
Connolly, R., & Bannister, F. (2007) · Journal of Information Technology · doi:10.1057/palgrave.jit.2000071 · Cited by 132
Zarifis, A., Kawalek, P., & Azadegan, A. (2021) · Journal of Internet Commerce · doi:10.1080/15332861.2020.1832817 · Cited by 89
The effect of voice and humour on users’ perceptions of personal intelligent agents
Moussawi, S., & Benbunan-Fich, R. (2021) · Behaviour & Information Technology · doi:10.1080/0144929x.2020.1772368 · Cited by 83
Trustworthiness in B2C e-commerce: an examination of alternative models
Serva, M. A., Benamati, J. "., & Fuller, M. A. (2005) · ACM SIGMIS Database: the DATABASE for Advances in Information Systems · doi:10.1145/1080390.1080397 · Cited by 72
Lin, X., Suanpong, K., Ruangkanjanases, A., Lim, Y.-T., & Chen, S.-C. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.634911 · Cited by 38
(2005) · Journal of the Association for Information Systems · Cited by 16
Metadata
- Authors
- Kim, K. K., & Prabhakar, B.
- Venue
- ACM SIGMIS Database: the DATABASE for Advances in Information Systems
- Published
- 2004-06-14
- Volume
- 35
- Issue
- 2
- Pages
- 50-64
- ISSN
- 0095-0033 (ISSN-L)
- 1532-0936
- OpenAlex
- W1988228720
- Cited by
- 308
- References
- 4
- FWCI
- 21.35
- 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.
