Market Segmentation
Integrity signals
Registry
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Classic consumer decision-making research centers the bounded individual consumer and treats preferences as internally generated, leaving it with little to say once inference is distributed across human and machine.
“Classic consumer decision-making research centers the bounded individual consumer and treats preferences as internally generated (Bettman, 1979;Wedel & Kamakura, 2000) and so has little to say once inference is distributed across human and machine.”
From Marketing to the Machine: Rethinking Global Marketing for the AI Era (2026) · cites this paper as Wedel & Kamakura, 2000
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Marketing to the Machine: Rethinking Global Marketing for the AI Era
Sands, S., & Campbell, C. (2026) · Journal of Global Marketing · doi:10.1080/08911762.2026.2697021
- Authors
- Wedel, M., & Kamakura, W. A.
- Affiliations
- University of Groningen (NL)
- University of Iowa (US)
- Venue
- International Series in Quantitative Marketing
- Publisher
- Springer US
- Published
- 2000
- ISSN
- 0923-6716 (ISSN-L)
- OpenAlex
- W4233704721
- Cited by
- 782
- References
- 0
- Citations by year
- 2026: 52 · 2025: 46 · 2024: 27 · 2023: 23 · 2022: 30 · 2021: 23 · 2020: 33 · 2019: 29 · 2018: 36 · 2017: 36 · 2016: 46 · 2015: 31 · 2014: 41 · 2013: 38 · 2012: 52
- FWCI
- 13.71
- Type
- book
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- International series in quantitative marketing (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Customer churn and segmentation
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
- Social Sciences › Sociology and Political Science › Consumer Behavior and Market Dynamics
- Keywords
- market segmentation, marketing strategy, customer segmentation, target market
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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.
Statistics and arithmetic are recomputed, not judged.
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