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Acceptance of recommendations to buy in online retailing.
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“personalized online recommendations for products of interest improve women’s online shopping experience (Baier and Stüber, 2010).”
From Motivational and Affective Factors Underlying Consumer Dropout and Transactional Success in eCommerce: An Overview (2020) · cites this paper as Baier and Stüber, 2010
Citations
Cites
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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)
- 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
- 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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