Challenges and business models for mobile location-based services and advertising
Abstract
Mobile advertising will become more pervasive and profitable, but not before addressing key technical and business challenges.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The ads become individualized with instant, personalized and location specific features that can cater to specific needs of ad recipients.
“Thus, the ads become individualized with the instant, personalized and location specific features that can cater to the specific needs of the ad recipients (Bruner & Kumar, 2007;Dhar & Varshney, 2011).”
From Setting the future of digital and social media marketing research: Perspectives and research propositions (2021) · cites this paper as Dhar & Varshney, 2011
Cited by
Sorted by citations
Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., Jain, V., Karjaluoto, H., Kefi, H., Krishen, A. S., et al. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102168 · Cited by 2,620 · see citing works
“Thus, the ads become individualized with the instant, personalized and location speciic features that can cater to the speciic needs of the ad recipients (Bruner & Kumar, 2007; Dhar & Varshney, 2011).”
BackgroundSoCoMo marketing for travel and tourism: Empowering co-creation of value
Buhalis, D., & Foerste, M. (2015) · Journal of Destination Marketing & Management · doi:10.1016/j.jdmm.2015.04.001 · Cited by 545 · see citing works
The Role of Big Data and Predictive Analytics in Retailing
Bradlow, E. T., Gangwar, M., Kopalle, P., & Voleti, S. (2017) · Journal of Retailing · doi:10.1016/j.jretai.2016.12.004 · Cited by 516 · see citing works
Demystifying big data analytics for business intelligence through the Lens of marketing mix
Fan, S., Lau, R. Y. K., & Zhao, J. L. (2015) · Big Data Research · doi:10.1016/j.bdr.2015.02.006 · Cited by 321 · see citing works
Determinants of mobile consumers’ perceived value of location-based advertising and user responses
Lin, T. T. C., Paragas, F., & Bautista, J. R. (2016) · International Journal of Mobile Communications · doi:10.1504/ijmc.2016.075019 · Cited by 59 · see citing works
- Authors
- Dhar, S., & Varshney, U.
- Affiliations
- San Jose State University (US)
- Georgia State University (US)
- Venue
- Communications of the ACM
- Published
- 2011-05
- Volume
- 54
- Issue
- 5
- Pages
- 121-128
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2080124030
- Cited by
- 331
- References
- 0
- Citations by year
- 2025: 2 · 2024: 10 · 2023: 8 · 2022: 16 · 2021: 14 · 2020: 15 · 2019: 20 · 2018: 34 · 2017: 38 · 2016: 43 · 2015: 39 · 2014: 28 · 2013: 32 · 2012: 19
- FWCI
- 85.16
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Communications of the ACM (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Social Sciences › Transportation › Human Mobility and Location-Based Analysis
- Keywords
- mobile location services, mobile advertising, business models, location-based advertising, technical challenges
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