The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Trying to Consume
Abstract
An important but relatively neglected area of consumer behavior—the pursuit of goals—is addressed. Two recent modifications of the Fishbein model are discussed, and an extension is introduced to better explain goal pursuit. Major revisions include (1) specification of three dimensions of attitude—toward success, failure, and the process of trying, (2) the incorporation of self-efficacy judgments as expectations of success and failure, and (3) refinement in the specificity of referents and their correspondence to reflect trying as the focal explanatory concept. Recency and frequency of past trying are independent variables in three models tested with weight loss data.
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Cites
Judgment under Uncertainty: Heuristics and Biases
Tversky, A., & Kahneman, D. (1975) · Utility, Probability, and Human Decision Making · doi:10.1007/978-94-010-1834-0_8 · Cited by 22,650
From Intentions to Actions: A Theory of Planned Behavior
Ajzen, I. (1985) · Action Control · doi:10.1007/978-3-642-69746-3_2 · Cited by 19,057
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
Attitude-behavior relations: A theoretical analysis and review of empirical research
Ajzen, I., & Fishbein, M. (1977) · Psychological Bulletin · doi:10.1037/0033-2909.84.5.888 · Cited by 7,611
Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control
Ajzen, I., & Madden, T. J. (1986) · Journal of Experimental Social Psychology · doi:10.1016/0022-1031(86)90045-4 · Cited by 5,718
Bem, D. J. (1972) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60024-6 · Cited by 5,241
Self-perception: An alternative interpretation of cognitive dissonance phenomena.
Bem, D. J. (1967) · Psychological Review · doi:10.1037/h0024835 · Cited by 2,959
Intention, perceived control, and weight loss: An application of the theory of planned behavior
Schifter, D. E., & Ajzen, I. (1985) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.49.3.843 · Cited by 1,024
An investigation into the role of intentions as mediators of the attitude-behavior relationship
Bagozzi, R. P., Baumgartner, J., & Yi, Y. (1989) · Journal of Economic Psychology · doi:10.1016/0167-4870(89)90056-1 · Cited by 418
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Cited by
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Intention—Behavior Relations: A Conceptual and Empirical Review
Sheeran, P. (2002) · European Review of Social Psychology · doi:10.1080/14792772143000003 · Cited by 3,688
Ouellette, J. A., & Wood, W. (1998) · Psychological Bulletin · doi:10.1037/0033-2909.124.1.54 · Cited by 3,480
Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication
Adams, D. A., Nelson, R. R., & Todd, P. A. (1992) · MIS Quarterly · doi:10.2307/249577 · Cited by 3,084
Customer Evaluations of Service Complaint Experiences: Implications for Relationship Marketing
Tax, S. S., Brown, S. W., & Chandrashekaran, M. (1998) · Journal of Marketing · doi:10.2307/1252161 · Cited by 2,723
Influences on Attitude-Behavior Relationships: A Natural Experiment with Curbside Recycling
Guagnano, G. A., Stern, P. C., & Dietz, T. (1995) · Environment and Behavior · doi:10.1177/0013916595275005 · Cited by 1,457
Thompson, C. J. (1997) · Journal of Marketing Research · doi:10.1177/002224379703400403 · Cited by 1,142
Extending the technology acceptance model: the influence of perceived user resources
Mathieson, K., Peacock, E., & Chin, W. W. (2001) · ACM SIGMIS Database: the DATABASE for Advances in Information Systems · doi:10.1145/506724.506730 · Cited by 1,099
Comfort Your Online Customer: Quality, Trust and Loyalty on the Internet
Ribbink, D., van Riel, A. C. R., Liljander, V., & Streukens, S. (2004) · Managing Service Quality: An International Journal · doi:10.1108/09604520410569784 · Cited by 872
Ahuja, M. K., & Bennett, J. (2005) · MIS Quarterly · doi:10.2307/25148691 · Cited by 818
The Evolution of Loyalty Intentions
Johnson, M. D., Herrmann, A., & Huber, F. (2006) · Journal of Marketing · doi:10.1509/jmkg.70.2.122 · Cited by 787
User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model
Lee, D. Y., & Lehto, M. R. (2013) · Computers & Education · doi:10.1016/j.compedu.2012.10.001 · Cited by 565
Thompson, C. J., & Tambyah, S. K. (1999) · Journal of Consumer Research · doi:10.1086/209560 · Cited by 559
Entrepreneurial Intentions are Dead: Long Live Entrepreneurial Intentions
Krueger, N. (2009) · International Studies in Entrepreneurship · doi:10.1007/978-1-4419-0443-0_4 · Cited by 363
The Bottom Line Impact of Organizational Responses to Customer Complaints
Davidow, M. (2000) · Journal of Hospitality & Tourism Research · doi:10.1177/109634800002400404 · Cited by 292
Aaker, J. L. (2000) · Journal of Consumer Research · doi:10.1086/209567 · Cited by 272
Consumer Attitudes and Behavior
Ajzen, I. (2015) · Handbook of Consumer Psychology · doi:10.4324/9780203809570.ch20 · Cited by 236
Hagger, M. S., Sultan, S., Hardcastle, S. J., & Chatzisarantis, N. L. D. (2015) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2014.12.002 · Cited by 171
Changing Behavior Using the Model of Action Phases
Keller, L., Gollwitzer, P. M., & Sheeran, P. (2020) · The Handbook of Behavior Change · doi:10.1017/9781108677318.006 · Cited by 147
Hodgkins, S., & Orbell, S. (1998) · Psychology & Health · doi:10.1080/08870449808406749 · Cited by 119
Fraudulent Return Proclivity: An Empirical Analysis
HARRIS, L. (2008) · Journal of Retailing · doi:10.1016/j.jretai.2008.09.003 · Cited by 116
Hatzigeorgiadis, A., & Biddle, S. J. H. (2000) · Anxiety, Stress & Coping · doi:10.1080/10615800008248334 · Cited by 77
Cue-based decision making. A new framework for understanding the uninvolved food consumer
Hamlin, R. P. (2010) · Appetite · doi:10.1016/j.appet.2010.04.007 · Cited by 70
Mobile Banking Adoption: Examining the Role of Personality Traits
Agyei, J., Sun, S., Abrokwah, E., Penney, E. K., & Ofori-Boafo, R. (2020) · Sage Open · doi:10.1177/2158244020932918 · Cited by 69
Metadata
- Authors
- Bagozzi, R. P., & Warshaw, P. R.
- Venue
- Journal of Consumer Research
- Publisher
- Oxford University Press (OUP)
- Published
- 1990-09
- Volume
- 17
- Issue
- 2
- Pages
- 127
- ISSN
- 0093-5301 (ISSN-L)
- 1537-5277
- OpenAlex
- W2054643262
- Cited by
- 810
- References
- 9
- FWCI
- 13.59
- Type
- journal article
- Language
- en
- Open access
- closed
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