AI advertising: An overview and guidelines
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In marketing, some academics have proposed fair targeting algorithms or bias-aware recommendation systems.
“In marketing, some academics have proposed”
From Surveillance Capitalism, Consumer Subjectivity and Marketing in the Age of Artificial Intelligence (2025) · cites this paper as Ford et al., 2023
Cites
bibliometrix: An R-tool for comprehensive science mapping analysis
Aria, M., & Cuccurullo, C. (2017) · Journal of Informetrics · doi:10.1016/j.joi.2017.08.007 · Cited by 16,064 · see citing works
How to conduct a bibliometric analysis: An overview and guidelines
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.04.070 · Cited by 14,329 · see citing works
Scientific procedures and rationales for systematic literature reviews (SPAR‐4‐SLR)
Paul, J., Lim, W. M., O’Cass, A., Hao, A. W., & Bresciani, S. (2021) · International Journal of Consumer Studies · doi:10.1111/ijcs.12695 · Cited by 2,364 · see citing works
Antecedents of trust in the sharing economy: A systematic review
ter Huurne, M., Ronteltap, A., Corten, R., & Buskens, V. (2017) · Journal of Consumer Behaviour · doi:10.1002/cb.1667 · Cited by 456 · see citing works
Alexa, what do we know about conversational commerce? Insights from a systematic literature review.
Lim, W. M., Kumar, S., Verma, S., & Chaturvedi, R. (2022) · Psychology & Marketing · doi:10.1002/mar.21654 · Cited by 293 · see citing works
Wu, L., & Jing Wen, T. (2021) · Journal of Advertising Research · doi:10.2501/jar-2021-004 · Cited by 127 · see citing works
The race to the top among the world’s leaders in artificial intelligence
Savage, N. (2020) · Nature · doi:10.1038/d41586-020-03409-8 · Cited by 87 · see citing works
Roy, A., Huh, J., Pfeuffer, A., & Srivastava, J. (2017) · Journal of Advertising · doi:10.1080/00913367.2017.1297272 · Cited by 41 · see citing works
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AI-powered marketing: What, where, and how?
Kumar, V., Ashraf, A. R., & Nadeem, W. (2024) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2024.102783 · Cited by 509 · see citing works
Bui, H. T. (2026) · Journal of Research in Interactive Marketing · doi:10.1108/jrim-02-2025-0066 · Cited by 34 · see citing works
Surveillance Capitalism, Consumer Subjectivity and Marketing in the Age of Artificial Intelligence
Marchand, É., Durand, T., & Dubois, M. (2025) · Social Science Chronicle · doi:10.56106/ssc.2025.001 · Cited by 5 · see citing works
- Authors
- Ford, J., Jain, V., Wadhwani, K., & Gupta, D. G.
- Affiliations
- Old Dominion University (US)
- Mudra Institute of Communications Ahmedabad (IN)
- Corresponding author
- Ford, John
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2023-11
- Volume
- 166
- Pages
- 114124
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W4382600521
- Cited by
- 176
- References
- 8
- Citations by year
- 2026: 63 · 2025: 70 · 2024: 38 · 2023: 3 · 2022: 2
- FWCI
- 45.89
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Business Research (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Keywords
- artificial intelligence in advertising, programmatic advertising, advertising automation, customer engagement, advertising effectiveness, research trends, research guidelines
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.
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