Cited by 1,441Technology Adoption and User BehaviourCustomer Service Quality and LoyaltyHealth, Technology, Consumer Behavior

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An empirical analysis of the antecedents of electronic commerce service continuance

Bhattacherjee, Anol·2001·Decision Support Systems

DOI 10.1016/s0167-9236(01)00111-7

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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
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
A Theory of Cognitive Dissonance
Festinger, L. (1957) · doi:10.1515/9781503620766 · Cited by 24,241
Significance tests and goodness of fit in the analysis of covariance structures.
Bentler, P. M., & Bonett, D. G. (1980) · Psychological Bulletin · doi:10.1037/0033-2909.88.3.588 · Cited by 20,015
A Theory of Cognitive Dissonance
Morvan, C., & O’Connor, A. (2017) · Macat Library eBooks · doi:10.4324/9781912282432 · Cited by 18,284
A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions
Oliver, R. L. (1980) · Journal of Marketing Research · doi:10.1177/002224378001700405 · Cited by 14,494
Agency Theory: An Assessment and Review
Eisenhardt, K. M. (1989) · The Academy of Management Review · doi:10.5465/amr.1989.4279003 · Cited by 13,338
EQS : structural equations program manual
Bentler, P. M. (1989) · Medical Entomology and Zoology · Cited by 9,669
Understanding information technology usage: a test of competing models
Taylor, S., & Todd, P. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.144 · Cited by 8,815
Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior
Mathieson, K. (1991) · Information Systems Research · doi:10.1287/isre.2.3.173 · Cited by 4,216

Show all 18 references

Research works printed but not linked: 3

Carl, 1995, Online service users: loyal as alley cats?, Web Week, 1
Inteco, Why do People Choose ISPs and Why do They Drop Them, Inteco Corp. Press Report, Sep. 1998.
Selwyn, 1999, Brokers cope with outages, Computerworld, 33, 95

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Integrating IS success model with cybersecurity factors for e-government implementation in the Kingdom of Saudi Arabia
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Authors: Bhattacherjee, A.
Affiliations: Arizona State University (US)
Corresponding author: Bhattacherjee, Anol
ORCID: Bhattacherjee, Anol
Venue: Decision Support Systems
Publisher: Elsevier BV
Published: 2001-12
Volume: 32
Issue: 2
Pages: 201-214
ISSN: 0167-9236 (ISSN-L)
DOI: 10.1016/s0167-9236(01)00111-7
OpenAlex: W2103356704
Cited by: 1,441
References: 18
Citations by year: 2026: 46 · 2025: 70 · 2024: 97 · 2023: 102 · 2022: 101 · 2021: 83 · 2020: 90 · 2019: 69 · 2018: 67 · 2017: 56 · 2016: 55 · 2015: 65 · 2014: 78 · 2013: 68 · 2012: 80
FWCI: 24.52
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Decision Support Systems (publishedVersion)
Topics: Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
Social Sciences › Business, Management and Accounting › Marketing › Customer Service Quality and Loyalty
Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
Keywords: e-commerce, continuance intention, B2C e-commerce, online brokerage, customer satisfaction, perceived usefulness, expectation confirmation, customer relationship management

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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An empirical analysis of the antecedents of electronic commerce service continuance

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