The DOI matches its Crossref record.
Permission-based mobile advertising
Abstract
This article reports the results of a study of permission-based advertising via mobile phones. The study, part of the proof of concept for a UK startup, specifically explored the effectiveness of SMS text messaging as an advertising medium for reaching young adults. The results suggest that, with the right execution, the mobile channel has the potential to benefit both advertisers and consumers. The findings also include some suggestions about when and how to use this emerging new medium. Although confined to SMS text messaging in the UK, the results are also likely to be relevant to other countries, and to more advanced mobile communication technologies as these are rolled out.
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
Cited by
Awad, N. F., & Krishnan, M. S. (2006) · MIS Quarterly · doi:10.2307/25148715 · Cited by 1,252
Xu, H., Luo, X. (., Carroll, J. M., & Rosson, M. B. (2011) · Decision Support Systems · doi:10.1016/j.dss.2010.11.017 · Cited by 708
Social Media Mining: An Introduction
Zafarani, R., Abbasi, M. A., & Liu, H. (2014) · Cambridge University Press eBooks · doi:10.1017/cbo9781139088510 · Cited by 592
Mobile marketing: A synthesis and prognosis
Shankar, V., & Balasubramanian, S. (2009) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2009.02.002 · Cited by 484
Personalized mobile marketing strategies
Tong, S., Luo, X., & Xu, B. (2020) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-019-00693-3 · Cited by 322
Mobile advertising: A framework and research agenda
Grewal, D., Bart, Y., Spann, M., & Zubcsek, P. P. (2016) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2016.03.003 · Cited by 316
Factors influencing consumers' willingness to accept mobile advertising: a conceptual model
Leppaniemi, M., & Karjaluoto, H. (2005) · International Journal of Mobile Communications · doi:10.1504/ijmc.2005.006580 · Cited by 313
Consumer Privacy Concerns and Preference for Degree of Regulatory Control
Okazaki, S., Li, H., & Hirose, M. (2009) · Journal of Advertising · doi:10.2753/joa0091-3367380405 · Cited by 297
Modeling users’ acceptance of mobile services
Zarmpou, T., Saprikis, V., Markos, A., & Vlachopoulou, M. (2012) · Electronic Commerce Research · doi:10.1007/s10660-012-9092-x · Cited by 296
Perceived Effectiveness of Push vs. Pull Mobile Location Based Advertising
Unni, R., & Harmon, R. (2007) · Journal of Interactive Advertising · doi:10.1080/15252019.2007.10722129 · Cited by 268
What do we know about mobile Internet adopters? A cluster analysis
Okazaki, S. (2006) · Information & Management · doi:10.1016/j.im.2005.05.001 · Cited by 260
Shareef, M. A., Dwivedi, Y. K., Kumar, V., & Kumar, U. (2017) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.02.003 · Cited by 177
Antecedents of mobile app usage among smartphone users
Kim, S. C., Yoon, D., & Han, E. K. (2016) · Journal of Marketing Communications · doi:10.1080/13527266.2014.951065 · Cited by 171
Bacile, T. J., Ye, C., & Swilley, E. (2014) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2013.12.001 · Cited by 149
Chan-Olmsted, S., Rim, H., & Zerba, A. (2013) · Journalism & Mass Communication Quarterly · doi:10.1177/1077699012468742 · Cited by 136
Bues, M., Steiner, M., Stafflage, M., & Krafft, M. (2017) · Psychology & Marketing · doi:10.1002/mar.20981 · Cited by 110
A meta-analytic review of mobile advertising research
Maseeh, H. I., Jebarajakirthy, C., Pentecost, R., Ashaduzzaman, M., Arli, D., & Weaven, S. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.06.022 · Cited by 88
de Cosmo, L. M., Piper, L., & Di Vittorio, A. (2021) · Italian Journal of Marketing · doi:10.1007/s43039-021-00020-1 · Cited by 82
Smartphone Use and Academic Performance of University Students: A Mediation and Moderation Analysis
Ahmed, R. R., Salman, F., Malik, S. A., Streimikiene, D., Soomro, R. H., & Pahi, M. H. (2020) · Sustainability · doi:10.3390/su12010439 · Cited by 67
Metadata
- Authors
- Barwise, P., & Strong, C.
- Venue
- Journal of Interactive Marketing
- Publisher
- SAGE Publications
- Published
- 2002-02
- Volume
- 16
- Issue
- 1
- Pages
- 14-24
- ISSN
- 1094-9968 (ISSN-L)
- 1520-6653
- OpenAlex
- W2051866089
- Cited by
- 594
- References
- 0
- FWCI
- 65.04
- 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.
