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

The DOI matches its Crossref record; 63 of the 67 references it cites were found in a registry or an index.

Acceptance of recommendations to buy in online retailing.

Baier, Daniel, Stüber, Eva·2010·Journal of Retailing and Consumer Services
DOI 10.1016/j.jretconser.2010.03.005
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Crossref · 10.1016/j.jretconser.2010.03.005

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

Research works printed but not linked: 4

  1. Chau, 2000, Impact of information presentation modes on online shopping: an empirical evaluation of a broadband interactive shopping service, Journal of Organizational Computing and Electronic Commerce, 10, 1
  2. Gaul, 2002, eMarketing mittels recommendersystemen, Marketing ZFP, 24, 47
  3. Hansen, 2007, Empfehlungssysteme zur Verkaufsberatung im Internet. State-of-the-art und Konsumentenakzeptanz, Wirtschaftsinformatik, 49, 50
  4. Venkatesh, V., 1999. Creation of Favorable User Perceptions: Exploring the Role of Intrinsic Motivation, MIS Quarterly, 23 (2), 239-260. · DOI

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Metadata

Authors
Baier, D., & Stüber, E.
Affiliations
Brandenburg University of Technology Cottbus-Senftenberg (DE)
Corresponding author
Baier, Daniel
ORCID
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)
DOI
10.1016/j.jretconser.2010.03.005
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
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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
  • Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
Keywords
online retail, personalized recommendation, technology acceptance, consumer acceptance, recommendation quality, online shopping experience, customer satisfaction, personalization

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