The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Man Versus Machine: Resisting Automation in Identity-Based Consumer Behavior
Abstract
Automation is transforming many consumption domains, including everyday activities such as cooking or driving, as well as recreational activities like fishing or cycling. Yet little research in marketing examines consumer preferences for automated products. Automation often provides obvious consumption benefits, but six studies spanning a variety of product categories show that automation may not be desirable when identity motives are important drivers of consumption. Using both correlational and experimental designs, these studies demonstrate that people who strongly identify with a particular social category resist automated features that hinder the attribution of identity-relevant consumption outcomes to themselves. The findings have substantial theoretical implications for research on identity and technology, as well as managerial implications for targeting, product innovation, and communication.
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“From the consumer side, existing studies further show that customers have varying responses and attitudes toward using AI products.”
From A strategic framework for artificial intelligence in marketing (2021) · cites this paper as Leung et al. 2018
Citations
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Cited by
Sorted by citations
How artificial intelligence will change the future of marketing
Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-019-00696-0 · Cited by 2,875
A strategic framework for artificial intelligence in marketing
Huang, M.-H., & Rust, R. T. (2021) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-020-00749-9 · Cited by 2,059
“While enjoying the standardization benefit of mechanical AI, one existing study is cautious about automating product decisions, when those products are related to consumers ’ identity (Leung et al. 2018).”
BackgroundInfluentialConsumers and artificial intelligence: An experiential perspective
Puntoni, S., Reczek, R. W., Giesler, M., & Botti, S. (2021) · Journal of Marketing · doi:10.1177/0022242920953847 · Cited by 1,547
Self-citationLuo, X., Tong, S., Fang, Z., & Qu, Z. (2019) · Marketing Science · doi:10.1287/mksc.2019.1192 · Cited by 1,262
Artificial Intelligence in Utilitarian vs. Hedonic Contexts: The “Word-of-Machine” Effect
Longoni, C., & Cian, L. (2022) · Journal of Marketing · doi:10.1177/0022242920957347 · Cited by 831
Metadata
- Authors
- Leung, E., Paolacci, G., & Puntoni, S.
- Affiliations
- Erasmus University Rotterdam (NL)
- Corresponding author
- Leung, Eugina
- Venue
- Journal of Marketing Research
- Publisher
- SAGE Publications
- Published
- 2018-12
- Volume
- 55
- Issue
- 6
- Pages
- 818-831
- ISSN
- 0022-2437 (ISSN-L)
- 1547-7193
- OpenAlex
- W4232279720
- Cited by
- 285
- References
- 36
- Citations by year
- 2026: 44 · 2025: 52 · 2024: 47 · 2023: 56 · 2022: 35 · 2021: 25 · 2020: 18 · 2019: 7
- FWCI
- 22.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Marketing Research (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior in Brand Consumption and Identification
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Perception and Purchasing Behavior
- Keywords
- automation, identity motives, social identity, product innovation, customer targeting, marketing communication
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