Cited by 266Technology Adoption and User BehaviourInformation Systems Theories and ImplementationUsability and User Interface Design

A feedback model to understand information system usage

Bajaj, Akhilesh, Nidumolu, Sarma R·1998·Information & Management

Integrity signals

Registry

Crossref · 10.1016/s0378-7206(98)00026-3

Cites

48 of 48 references verified0 citation errors · 0 not checkable

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Authors
Bajaj, A., & Nidumolu, S. R.
Affiliations
  • Carnegie Mellon University (US)
  • University of Arizona (US)
Corresponding author
Bajaj, Akhilesh
Venue
Information & Management
Publisher
Elsevier BV
Published
1998-03
Volume
33
Issue
4
Pages
213-224
ISSN
0378-7206 (ISSN-L)
OpenAlex
W2004664193
Cited by
266
References
48
Citations by year
2025: 4 · 2024: 4 · 2023: 6 · 2022: 3 · 2021: 6 · 2020: 10 · 2019: 10 · 2018: 9 · 2017: 10 · 2016: 16 · 2015: 20 · 2014: 9 · 2013: 18 · 2012: 18
FWCI
5.23
Type
journal article
Language
en
Open access
closed
Locations
  • Information & Management (publishedVersion)
  • Digital Eprints Services at ISB (DESI) (Indian School of Business) (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
  • Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
Keywords
information system use, continued usage, feedback model, past behavior, perceived ease of use, end-user adoption, IS implementation, longitudinal modeling, instrumental variables

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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.

Statistics and arithmetic are recomputed, not judged.

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