The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Customer perceived value, satisfaction, and loyalty: The role of switching costs
Abstract
It is a marketplace reality that marketing managers sometimes inflict switching costs on their customers, to inhibit them from defecting to new suppliers. In a competitive setting, such as the Internet market, where competition may be only one click away, has the potential of switching costs as an exit barrier and a binding ingredient of customer loyalty become altered? To address that issue, this article examines the moderating effects of switching costs on customer loyalty through both satisfaction and perceived‐value measures. The results, evoked from a Web‐based survey of online service users, indicate that companies that strive for customer loyalty should focus primarily on satisfaction and perceived value. The moderating effects of switching costs on the association of customer loyalty and customer satisfaction and perceived value are significant only when the level of customer satisfaction or perceived value is above average. In light of the major findings, the article sets forth strategic implications for customer loyalty in the setting of electronic commerce. © 2004 Wiley Periodicals, Inc.
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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
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.51.6.1173 · Cited by 91,532
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
Prospect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524
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
On the Evaluation of Structural Equation Models
Bagozzi, R. P., & Yi, Y. (1988) · Journal of the Academy of Marketing Science · doi:10.1007/bf02723327 · Cited by 26,163
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
SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality
Parasuraman, A., Berry, L. L., & Zeithaml, V. A. (1988) · Zenodo · doi:10.5281/zenodo.14579729 · Cited by 21,118
Self-Reports in Organizational Research: Problems and Prospects
Podsakoff, P. M., & Organ, D. W. (1986) · Journal of Management · doi:10.1177/014920638601200408 · Cited by 17,102
Competitive Strategy: Techniques for Analyzing Industries and Competitors
(1980) · Journal of Sustainable Competitive Intelligence · doi:10.24883/iberoamericanic.v2i2.38 · Cited by 16,592
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
A national customer satisfaction barometer: the Swedish experience
Fornell, C. (1992) · Journal of Marketing · doi:10.2307/1252129 · Cited by 5,641
The antecedents and consequences of customer satisfaction for firms
Anderson, E. W., & Sullivan, M. W. (1993) · Marketing Science · doi:10.1287/mksc.12.2.125 · Cited by 4,610
Consumer trust, value, and loyalty in relational exchanges
Sirdeshmukh, D., Singh, J., & Sabol, B. (2002) · Journal of Marketing · doi:10.1509/jmkg.66.1.15.18449 · Cited by 4,196
Customer Satisfaction: A Meta-Analysis of the Empirical Evidence
Szymanski, D. M., & Henard, D. H. (2001) · Journal of the Academy of Marketing Science · doi:10.1177/0092070301291002 · Cited by 2,002
Switching barriers and repurchase intentions in services
Jones, M. A., Mothersbaugh, D. L., & Beatty, S. E. (2000) · Journal of Retailing · doi:10.1016/s0022-4359(00)00024-5 · Cited by 1,571 · cited 1×
“Jones et al., 2002), future studies may be needed to further explore antecedents of switching costs in the setting of e-commerce. Switching costs may influence customer loyalty through channels other than satisfaction and perceived value (Oliver, 1999). For instance, Oliver (1999) argues that switching bar-”
BackgroundAntecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics
Devaraj, S., Fan, M., & Kohli, R. (2002) · Information Systems Research · doi:10.1287/isre.13.3.316.77 · Cited by 1,205
Cited by
Dead Or Alive? The Development, Trajectory And Future Of Technology Adoption Research.
University of Arkansas, Venkatesh, V., Davis, F., University of Arkansas, Morris, M., & University of Virginia (2007) · Journal of the Association for Information Systems · doi:10.17705/1jais.00120 · Cited by 789
Hsu, C.-L., & Lin, J. C.-C. (2015) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2014.11.003 · Cited by 662
El-Adly, M. I. (2019) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2018.07.007 · Cited by 613
Sullivan, Y. W., & Kim, D. J. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.12.008 · Cited by 443
The moderating effect of customer perceived value on online shopping behaviour
Hsin Chang, H., & Wang, H. (2011) · Online Information Review · doi:10.1108/14684521111151414 · Cited by 398
Metadata
- Authors
- Yang, Z., & Peterson, R. T.
- Venue
- Psychology & Marketing
- Publisher
- Wiley
- Published
- 2004-08-24
- Volume
- 21
- Issue
- 10
- Pages
- 799-822
- ISSN
- 0742-6046 (ISSN-L)
- 1520-6793
- OpenAlex
- W2014049963
- Cited by
- 2,035
- References
- 18
- FWCI
- 40.17
- Type
- journal article
- Language
- en
- Open access
- closed
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