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Cited by 101Supply Chain and Inventory ManagementConsumer Market Behavior and PricingAuction Theory and Applications

The DOI matches its Crossref record; 42 of the 43 references it cites were found in a registry or an index.

Optimal pricing in e-commerce based on sparse and noisy data

Bauer, Josef, Jannach, Dietmar·2018·Decision Support Systems
DOI 10.1016/j.dss.2017.12.002
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Crossref · 10.1016/j.dss.2017.12.002

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Metadata

Authors
Bauer, J., & Jannach, D.
Affiliations
  • TU Dortmund University (DE)
  • University of Klagenfurt (AT)
Corresponding author
Bauer, Josef
ORCID
Jannach, Dietmar
Venue
Decision Support Systems
Publisher
Elsevier BV
Published
2018-02
Volume
106
Pages
53-63
ISSN
0167-9236 (ISSN-L)
DOI
10.1016/j.dss.2017.12.002
OpenAlex
W2775564956
Cited by
92
References
43
Citations by year
2026: 7 · 2025: 7 · 2024: 19 · 2023: 24 · 2022: 10 · 2021: 14 · 2020: 5 · 2019: 4 · 2018: 2
FWCI
5.14
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
Decision Support Systems (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Supply Chain and Inventory Management
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Auction Theory and Applications
Keywords
dynamic pricing, optimal pricing, e-commerce, data sparsity, noisy data, Bayesian inference, kernel regression, revenue maximization, profit maximization

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.