Cited by 1,247Technology Adoption and User BehaviourGender and Technology in EducationTechnology Use by Older Adults

The influence of technology anxiety on consumer use and experiences with self-service technologies

Meuter, Matthew L, Ostrom, Amy L, Bitner, Mary Jo, Roundtree, Robert·2003·Journal of Business Research

Integrity signals

Registry

Crossref · 10.1016/s0148-2963(01)00276-4

Cites

4 of 4 references verified0 citation errors · 0 not checkable

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

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Cites

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Authors
Meuter, M. L., Ostrom, A. L., Bitner, M. J., & Roundtree, R.
Affiliations
  • California State University, Chico (US)
  • Arizona State University (US)
  • Howard University (US)
Corresponding author
Meuter, Matthew L
Venue
Journal of Business Research
Publisher
Elsevier BV
Published
2003-11
Volume
56
Issue
11
Pages
899-906
ISSN
0148-2963 (ISSN-L)
OpenAlex
W2125700060
Cited by
1,247
References
4
Citations by year
2026: 79 · 2025: 100 · 2024: 104 · 2023: 82 · 2022: 105 · 2021: 70 · 2020: 68 · 2019: 66 · 2018: 53 · 2017: 45 · 2016: 49 · 2015: 52 · 2014: 52 · 2013: 59 · 2012: 51
FWCI
20.56
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Business Research (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
Arizona State University
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 › Demography › Technology Use by Older Adults
Keywords
technology anxiety, self-service technology, consumer technology adoption, retail technology, customer satisfaction, word of mouth, revisit intention

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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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