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
Cites
Possessions and the Extended Self
Belk, R. W. (1988) · Journal of Consumer Research · doi:10.1086/209154 · Cited by 9,064
Bem, D. J. (1972) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60024-6 · Cited by 5,241
Humans and automation: Use, misuse, disuse, abuse
Parasuraman, R., & Riley, V. (1997) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872097778543886 · Cited by 4,554
Identity Theory and Social Identity Theory
Stets, J. E., & Burke, P. J. (2000) · Social Psychology Quarterly · doi:10.2307/2695870 · Cited by 4,464
The second machine age: work, progress, and prosperity in a time of brilliant technologies
(2015) · Choice Reviews Online · doi:10.5860/choice.184834 · Cited by 4,409
Why Are There Still So Many Jobs? The History and Future of Workplace Automation
Autor, D. H. (2015) · Journal of Economic Perspectives · doi:10.1257/jep.29.3.3 · Cited by 3,917
The Economic and Philosophical Manuscripts of 1844 (1844)
(2018) · Bloomsbury Academic eBooks · doi:10.5040/9781474278737.ch-002 · Cited by 1,432
Mezulis, A. H., Abramson, L. Y., Hyde, J. S., & Hankin, B. L. (2004) · Psychological Bulletin · doi:10.1037/0033-2909.130.5.711 · Cited by 1,369
Where Consumers Diverge from Others: Identity Signaling and Product Domains
Berger, J. A., & Heath, C. (2007) · Journal of Consumer Research · doi:10.1086/519142 · Cited by 1,323
Paradoxes of Technology: Consumer Cognizance, Emotions, and Coping Strategies
Mick, D. G., & Fournier, S. M. (1998) · Journal of Consumer Research · doi:10.1086/209531 · Cited by 1,313
Labor and Monopoly Capital: The Degradation of Work in the Twentieth Century
Cuneo, C. J., Braverman, H., & Rinehart, J. W. (1976) · The Canadian Journal of Sociology · doi:10.2307/3339761 · Cited by 978
Licensing Effect in Consumer Choice
Khan, U. R., & Dhar, R. (2006) · Journal of Marketing Research · doi:10.1509/jmkr.43.2.259 · Cited by 963
Alienation and Freedom: The Factory Worker and His Industry
Brinker, P. A., & Blauner, R. (1965) · Southern Economic Journal · doi:10.2307/1055564 · Cited by 814
Identity-based consumer behavior
Reed, A., Forehand, M., Puntoni, S., & Warlop, L. (2012) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2012.08.002 · Cited by 726
Self-citationThe History of Technological Anxiety and the Future of Economic Growth: Is This Time Different?
Mokyr, J., Vickers, C., & Ziebarth, N. L. (2015) · Journal of Economic Perspectives · doi:10.1257/jep.29.3.31 · Cited by 698
Oyserman, D. (2009) · Journal of Consumer Psychology · doi:10.1016/j.jcps.2009.05.008 · Cited by 651
A Second-hand Shoppers’ Motivation Scale: Antecedents, Consequences, and Implications for Retailers
Guiot, D., & Roux, D. (2010) · Journal of Retailing · doi:10.1016/j.jretai.2010.08.002 · Cited by 649
The Intensity of Ethnic Affiliation: A Study of the Sociology of Hispanic Consumption
Deshpandé, R., Hoyer, W. D., & Donthu, N. (1986) · Journal of Consumer Research · doi:10.1086/209061 · Cited by 502
Are Close Friends the Enemy? Online Social Networks, Self-Esteem, and Self-Control
Wilcox, K., & Stephen, A. T. (2012) · Journal of Consumer Research · doi:10.1086/668794 · Cited by 500
A Tale of Two Cities: Distinctiveness Theory and Advertising Effectiveness
Deshpandé, R., & Stayman, D. M. (1994) · Journal of Marketing Research · doi:10.2307/3151946 · Cited by 403
Culture and the construal of agency: Attribution to individual versus group dispositions.
Menon, T., Morris, M. W., Chiu, C., & Hong, Y. (1999) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.76.5.701 · Cited by 334
A probabilistic contrast model of causal induction.
Cheng, P. W., & Novick, L. R. (1990) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.58.4.545 · Cited by 327
Because It Is There: The Challenge of Mountaineering… for Utility Theory
Loewenstein, G. (1999) · Kyklos · doi:10.1111/j.1467-6435.1999.tb00221.x · Cited by 302
Chandler, J., & Paolacci, G. (2017) · Social Psychological and Personality Science · doi:10.1177/1948550617698203 · Cited by 279
Self-citationBeyond outcomes: measuring procedural utility
Frey, B. S. (2004) · Oxford Economic Papers · doi:10.1093/oep/gpi002 · Cited by 275
The Hidden Cost of Personal Quantification
Etkin, J. (2016) · Journal of Consumer Research · doi:10.1093/jcr/ucv095 · Cited by 274
Self-Signaling and Diagnostic Utility in Everyday Decision Making
Bodner, R., & Prelec, D. (2003) · The Psychology of Economic Decisions · doi:10.1093/oso/9780199251063.003.0006 · Cited by 258
Identity‐based motivation and consumer behavior
Oyserman, D. (2009) · Journal of Consumer Psychology · doi:10.1016/j.jcps.2009.06.001 · Cited by 253
A probabilistic contrast model of causal induction.
Cheng, P. W., & Novick, L. R. (1990) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.58.4.545 · Cited by 235
Erikson, K. T. (1986) · American Sociological Review · doi:10.2307/2095474 · Cited by 159
Doing It the Hard Way: How Low Control Drives Preferences for High-Effort Products and Services
Cutright, K. M., & Samper, A. (2014) · Journal of Consumer Research · doi:10.1086/677314 · Cited by 139
Weiss, L., & Johar, G. V. (2013) · Journal of Consumer Research · doi:10.1086/669330 · Cited by 132
Consumer desire for control as a barrier to new product adoption
Faraji‐Rad, A., Melumad, S., & Johar, G. V. (2016) · Journal of Consumer Psychology · doi:10.1016/j.jcps.2016.08.002 · Cited by 119
Preferences for Enhancement Pharmaceuticals: The Reluctance to Enhance Fundamental Traits
Riis, J., Simmons, J. P., & Goodwin, G. P. (2008) · Journal of Consumer Research · doi:10.1086/588746 · Cited by 109
Gender Identity Salience and Perceived Vulnerability to Breast Cancer
Puntoni, S., Sweldens, S., & Tavassoli, N. T. (2008) · Journal of Marketing Research · doi:10.1509/jmkr.48.3.413 · Cited by 91
Self-citationvan Osselaer, S. M. J., Ramanathan, S., Campbell, M. C., Cohen, J. B., Dale, J. K., Herr, P. M., Janiszewski, C. A., Kruglanski, A. W., Lee, A. Y., Read, S. J., et al. (2005) · Marketing Letters · doi:10.1007/s11002-005-5896-y · Cited by 87
Péer, E., Samat, S., Brandimarte, L., & Acquisti, A. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2594183 · Cited by 44
Research works printed but not linked: 3
- 10.1177/002224379403100105 · DOI
- Ford Martin, 2015, The Rise of the Robots, Technology and the Threat of Mass Unemployment
- Rifkin Jeremy, 1996, The End of Work
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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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