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URN to cite this document: urn:nbn:de:bvb:703-epub-6049-8
Title data
Baier, Daniel ; Stöcker, Björn:
Profit uplift modeling for direct marketing campaigns : approaches and applications for online shops.
In: Journal of Business Economics = Zeitschrift für Betriebswirtschaft.
Vol. 92
(2022)
.
- pp. 645-673.
ISSN 1861-8928
DOI der Verlagsversion: https://doi.org/10.1007/s11573-021-01068-3
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Further data
| Item Type: | Article in a journal |
|---|---|
| Keywords: | Uplift modeling; Heckman sample selection model; Zero-inflated
negative binomial regression; Random forests; Online shops |
| DDC Subjects: | 300 Social sciences > 330 Economics |
| Institutions of the University: | Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XIV - Marketing and Innovation > Chair Business Administration XIV - Marketing and Innovation - Univ.-Prof. Dr. Daniel Baier Faculties Faculties > Faculty of Law, Business and Economics Faculties > Faculty of Law, Business and Economics > Department of Business Administration Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XIV - Marketing and Innovation |
| Language: | English |
| Originates at UBT: | Yes |
| URN: | urn:nbn:de:bvb:703-epub-6049-8 |
| Date Deposited: | 16 Mar 2022 09:50 |
| Last Modified: | 01 Aug 2022 07:30 |
| URI: | https://epub.uni-bayreuth.de/id/eprint/6049 |
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