The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Curvilinear Effects of Consumer Loyalty Determinants in Relational Exchanges
Abstract
Drawing from need, motivation, and social exchange theories, this study conceptualizes and empirically examines the differential curvilinear effects of multiple determinants of loyalty intentions, including transactional satisfaction, trust, and value for relational exchanges. The authors conceptualize trust as a “motivator,” satisfaction as a “hygiene,” and value as a “bivalent” factor in consumer loyalty mechanisms. Using consumer data on relational exchanges in two different service contexts—retail clothing and nonbusiness airline travel—and accounting for different sources of error—namely, measurement, common method, and response style—the authors empirically investigate the hypothesized mechanisms. The data support the motivator, or the enhancing role of trust, and the hygiene, or the maintaining role of satisfaction, on loyalty intentions in both contexts. Although the authors also obtain consistent results for the influence of value, its role is aligned with a hygiene mechanism, not a bivalent mechanism. The authors contribute to the study of loyalty antecedents by (1) theoretically proposing the nature and shape of the influence of different loyalty determinants, (2) considering the simultaneous and differential effects of multiple determinants, and (3) drawing implications from the results for theory and managerial practice.
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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
(1994) · Journal of the American Dietetic Association · doi:10.1016/0002-8223(94)92216-0 · Cited by 45,910
The commitment-trust theory of relationship marketing
Morgan, R. M., & Hunt, S. D. (1994) · Journal of Marketing · doi:10.1177/002224299405800302 · Cited by 22,355
Maslow, A. H. (1943) · Psychological Review · doi:10.1037/h0054346 · Cited by 21,563
Evolving to a New Dominant Logic for Marketing
Vargo, S. L., & Lusch, R. F. (2004) · Journal of Marketing · doi:10.1509/jmkg.68.1.1.24036 · Cited by 14,779
(2025) · doi:10.53555/acr.v2i2 · Cited by 13,264
The Behavioral Consequences of Service Quality
Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996) · Journal of Marketing · doi:10.2307/1251929 · Cited by 12,003
(2017) · Defining and Classifying Children in Need · doi:10.4324/9781315258324-16 · Cited by 11,320
Accounting for common method variance in cross-sectional research designs
Lindell, M. K., & Whitney, D. J. (2001) · Journal of Applied Psychology · doi:10.1037/0021-9010.86.1.114 · Cited by 8,490
Cited by
Evolving to a New Dominant Logic for Marketing
Vargo, S. L., & Lusch, R. F. (2004) · Journal of Marketing · doi:10.1509/jmkg.68.1.1.24036 · Cited by 14,779
Richardson, H. A., Simmering, M. J., & Sturman, M. C. (2009) · Organizational Research Methods · doi:10.1177/1094428109332834 · Cited by 1,721
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2009) · Information Systems Research · doi:10.1287/isre.1080.0188 · Cited by 990
Inman, J. J., & Nikolova, H. (2017) · Journal of Retailing · doi:10.1016/j.jretai.2016.12.006 · Cited by 599
Yim, C. K. (., Tse, D. K., & Chan, K. W. (2008) · Journal of Marketing Research · doi:10.1509/jmkr.45.6.741 · Cited by 583
Metadata
- Authors
- Agustin, C., & Singh, J.
- Venue
- Journal of Marketing Research
- Publisher
- SAGE Publications
- Published
- 2005-02
- Volume
- 42
- Issue
- 1
- Pages
- 96-108
- ISSN
- 0022-2437 (ISSN-L)
- 1547-7193
- OpenAlex
- W2120993987
- Cited by
- 638
- References
- 46
- FWCI
- 42.28
- 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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