Cited by 106Technology Adoption and User BehaviourRecommender Systems and TechniquesAI in Service Interactions

Acceptance of recommendations to buy in online retailing.

Baier, Daniel, Stüber, Eva·2010·Journal of Retailing and Consumer Services

Integrity signals

Registry

Crossref · 10.1016/j.jretconser.2010.03.005

Cites

63 of 63 references verified0 citation errors · 0 not checkable

Statistics

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

Claims the paper makes

We couldn’t retrieve this paper’s full text, 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?

Cites

Flagged first, then by citations

4 of the 67 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Baier, D., & Stüber, E.
Affiliations
Brandenburg University of Technology Cottbus-Senftenberg (DE)
Corresponding author
Baier, Daniel
Venue
Journal of Retailing and Consumer Services
Publisher
Elsevier BV
Published
2010-05
Volume
17
Issue
3
Pages
173-180
ISSN
0969-6989 (ISSN-L)
OpenAlex
W2084468777
Cited by
106
References
67
Citations by year
2026: 3 · 2025: 4 · 2024: 10 · 2023: 2 · 2022: 12 · 2021: 7 · 2020: 11 · 2019: 7 · 2018: 7 · 2017: 3 · 2016: 6 · 2015: 10 · 2014: 7 · 2013: 2 · 2012: 9
FWCI
11.36
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Retailing and Consumer Services (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
Keywords
online retail, personalized recommendation, technology acceptance, consumer acceptance, recommendation quality, online shopping experience, customer satisfaction, personalization

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.

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