The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.
A New Model for Predicting Behavioral Intentions: An Alternative to Fishbein
Abstract
The Fishbein intention model often produces weak and inconsistent predictions in marketing applications. Of equal concern, high multicollinearity between independent variables is typical. A new intention model was developed and tested. Results show high stability, reliability, and predictiveness across diverse test products, with very low intercorrelations between explanatory variables.
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“It has been argued that social influence has an impact on individual behaviour through three mechanisms such as compliance, internalization, and identification (see Venkatesh and Davis 2000; Warshaw 1980).”
From Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2019) · cites this paper as Warshaw 1980
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Metadata
- Authors
- Warshaw, P. R.
- Affiliations
- McGill University (CA)
- Corresponding author
- Warshaw, Paul R.
- Venue
- Journal of Marketing Research
- Publisher
- SAGE Publications
- Published
- 1980-05
- Volume
- 17
- Issue
- 2
- Pages
- 153-172
- ISSN
- 0022-2437 (ISSN-L)
- 1547-7193
- OpenAlex
- W1973144792
- Cited by
- 340
- References
- 74
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 12 · 2023: 10 · 2022: 18 · 2021: 12 · 2020: 11 · 2019: 8 · 2018: 11 · 2017: 14 · 2016: 8 · 2015: 16 · 2014: 16 · 2013: 12 · 2012: 20
- FWCI
- 3.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Marketing Research (publishedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Environmental Valuation
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
- Keywords
- attitude-behavior relationship, multicollinearity, marketing applications
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