The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Individual Differences in the Centrality of Visual Product Aesthetics: Concept and Measurement
Abstract
This research conceptualizes and develops a scale to measure individual differences in the centrality of visual product aesthetics (CVPA), defined as the level of significance that visual aesthetics hold for a particular consumer in his/her relationship with products. Three related dimensions of product aesthetics centrality emerged from the research: value, acumen, and response intensity. A series of eight studies provided evidence that the CVPA measure possesses satisfactory reliability and validity. Additionally, this research illuminates important differences between high and low CVPA consumers in product-design-related evaluations and behaviors and provides suggestions for future research employing the scale.
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Citations
Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
Convergent and discriminant validation by the multitrait-multimethod matrix.
Campbell, D. T., & Fiske, D. W. (1959) · Psychological Bulletin · doi:10.1037/h0046016 · Cited by 17,116
Estimating Nonresponse Bias in Mail Surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.2307/3150783 · Cited by 12,222
Estimating nonresponse bias in mail surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.1177/002224377701400320 · Cited by 10,390
Consumers and Their Brands: Developing Relationship Theory in Consumer Research
Fournier, S. (1998) · Journal of Consumer Research · doi:10.1086/209515 · Cited by 7,542
Cited by
De Veirman, M., Cauberghe, V., & Hudders, L. (2017) · International Journal of Advertising · doi:10.1080/02650487.2017.1348035 · Cited by 2,548
Brocato, E. D., Voorhees, C. M., & Baker, J. (2012) · Journal of Retailing · doi:10.1016/j.jretai.2012.01.006 · Cited by 374
Narrative and Persuasion in Fashion Advertising
Phillips, B. J., & McQuarrie, E. F. (2010) · Journal of Consumer Research · doi:10.1086/653087 · Cited by 350
Evaluative Criteria of Denim Jeans: A Cross-national Study of Functional and Aesthetic Aspects
Rahman, O., Jiang, Y., & Liu, W.-S. (2010) · The Design Journal · doi:10.2752/146069210x12766130824894 · Cited by 73
Jin, X.-L., Chen, X., & Zhou, Z. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102428 · Cited by 54
Metadata
- Authors
- Bloch, P. H., Brunel, F. F., & Arnold, T. J.
- Venue
- Journal of Consumer Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2003-03
- Volume
- 29
- Issue
- 4
- Pages
- 551-565
- ISSN
- 0093-5301 (ISSN-L)
- 1537-5277
- OpenAlex
- W2149221485
- Cited by
- 787
- References
- 7
- FWCI
- 10.39
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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