CoChat
Sign Up
Cited by 1,764Technology Adoption and User BehaviourGender and Technology in EducationInformation Systems Theories and Implementation

Understanding Changes in Belief and Attitude Toward Information Tech Nology Usage: A Theoretical Model and Longitudinal Test1

Bhattacherjee, Anol, Premkumar, G.·2004·MIS Quarterly
DOI 10.2307/25148634
Open this paper in CoChat — free account

Abstract

User beliefs and attitudes are key perceptions driving information technology usage. These perceptions, however, may change with time as users gain first-hand experience with IT usage, which, in turn, may change their subsequent IT usage behavior. This paper elaborates how users’ beliefs and attitudes change during the course of their IT usage, defines emergent constructs driving such change, and proposes a temporal model of belief and attitude change by drawing on expectation-disconfirmation theory and the extant IT usage literature. Student data from two longitudinal studies in end-user computing (computer-based training system usage) and system development (rapid application development software usage) contexts provided empirical support for the hypothesized model, demonstrated its generalizability across technologies and usage contexts, and allowed us to probe context-specific differences. Content analysis of qualitative data validated some of our quantitative results. We report that emergent factors such as disconfirmation and satisfaction are critical to understanding changes in IT users’ beliefs and attitudes and recommend that they be included in future process models of IT usage.

Integrity signals

Registry

Crossref · 10.2307/25148634

Cites

10 of 10 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Individuals' reactions toward an IT may change over time.

    “Experience is an important moderating variable in IT adoption contexts because, as suggested in much prior research, individuals' reactions toward an IT may change over time (Karahanna et al., 1999;Bhattacherjee & Premkumar, 2004).”

    From Technology Acceptance Model 3 and a Research Agenda on Interventions (2008) · cites this paper as Bhattacherjee & Premkumar, 2004

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Bhattacherjee, A., & Premkumar, G.
Affiliations
  • University of South Florida (US)
  • Logistics, Operations, and Management Information Systems, College of Business, Iowa State University, Ames, IA 50011-2063, U.S.A.
ORCID
Bhattacherjee, Anol
Venue
MIS Quarterly
Publisher
MIS Quarterly
Published
2004-06-01
Volume
28
Issue
2
Pages
229-254
ISSN
  • 0276-7783 (ISSN-L)
  • 2162-9730
DOI
10.2307/25148634
OpenAlex
W2120115642
Cited by
1,764
References
10
Citations by year
2026: 69 · 2025: 63 · 2024: 81 · 2023: 74 · 2022: 107 · 2021: 116 · 2020: 92 · 2019: 106 · 2018: 93 · 2017: 76 · 2016: 106 · 2015: 145 · 2014: 111 · 2013: 94 · 2012: 93
FWCI
82.03
Type
journal article
Language
en
Open access
closed
Locations
MIS Quarterly (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Social Sciences › Gender Studies › Gender and Technology in Education
  • Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
Keywords
belief revision, attitude change, information technology use, expectancy disconfirmation theory, disconfirmation, user satisfaction, end-user computing, computer-based training, rapid application development

About these checks

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.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review