The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Research framework, strategies, and applications of intelligent agent technologies (IATs) in marketing
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Citations
Cites
The Discovery of Grounded Theory; Strategies for Qualitative Research
Glaser, B. G., Strauss, A. L., & Strutzel, E. (1968) · Nursing Research · doi:10.1097/00006199-196807000-00014 · Cited by 39,449
Is It an agent, or just a program?: A taxonomy for autonomous agents
Franklin, S., & Graesser, A. (1997) · Lecture Notes in Computer Science · doi:10.1007/bfb0013570 · Cited by 2,286
Return on Marketing: Using Customer Equity to Focus Marketing Strategy
Rust, R. T., Lemon, K. N., & Zeithaml, V. A. (2004) · Journal of Marketing · doi:10.1509/jmkg.68.1.109.24030 · Cited by 2,151
Cited by
Consumer and Object Experience in the Internet of Things: An Assemblage Theory Approach
Hoffman, D. L., & Novak, T. P. (2018) · Journal of Consumer Research · doi:10.1093/jcr/ucx105 · Cited by 668
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
Self-citationMaking conversations with chatbots more personalized
Shumanov, M., & Johnson, L. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106627 · Cited by 363
Jiang, H., Cheng, Y., Yang, J., & Gao, S. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107329 · Cited by 362
Novak, T. P., & Hoffman, D. L. (2019) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-018-0608-3 · Cited by 332
Metadata
- Authors
- Kumar, V., Dixit, A., Javalgi, R. G., & Dass, M.
- Venue
- Journal of the Academy of Marketing Science
- Published
- 2015-02-20
- Volume
- 44
- Issue
- 1
- Pages
- 24-45
- ISSN
- 0092-0703 (ISSN-L)
- 1552-7824
- OpenAlex
- W2016000812
- Cited by
- 231
- References
- 3
- FWCI
- 5.00
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: Research framework, strategies, and applications of intelligent agent technologies (IATs) in marketing. https://app.cochat.ai/papers/10.1007/s11747-015-0426-9
- The paper
- Kumar, V., Dixit, A., Javalgi, R. G., & Dass, M. (2016). Research framework, strategies, and applications of intelligent agent technologies (IATs) in marketing. Journal of the Academy of Marketing Science. https://doi.org/10.1007/s11747-015-0426-9
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.
