Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Kristof Coussement"'
Autor:
Piotr Sulikowski, Tomasz Zdziebko, Kristof Coussement, Krzysztof Dyczkowski, Krzysztof Kluza, Karina Sachpazidu-Wójcicka
Publikováno v:
Sensors, Vol 21, Iss 4, p 1381 (2021)
Recommendation systems play an important role in e-commerce turnover by presenting personalized recommendations. Due to the vast amount of marketing content online, users are less susceptible to these suggestions. In addition to the accuracy of a rec
Externí odkaz:
https://doaj.org/article/0ec510bebe3c4ef2981cff215188b095
Autor:
Kristof Coussement
Many marketing researchers, companies and business schools need to use statistical procedures and accurately interpret the result, that's why the SAS® Enterprise Guide software, which uses a user-friendly drag-and-drop menu to extract statistical
Publikováno v:
Journal of Advertising Research. 63:81-104
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cacf52cdef5495071f09374b2ae3fa9d
https://doi.org/10.2501/jar-2023-002
https://doi.org/10.2501/jar-2023-002
Publikováno v:
European Journal of Operational Research
European Journal of Operational Research, 2023, 306 (1), pp.348-357. ⟨10.1016/j.ejor.2022.06.060⟩
European Journal of Operational Research, 2023, 306 (1), pp.348-357. ⟨10.1016/j.ejor.2022.06.060⟩
International audience; Business failure prediction (BFP) is an important instrument in assessing the risk of corporate failure. While a large body of research has focused on BFP, recent research in operations research and analytics acknowledges the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e6e3c8c20af8fa8ac9ea0006a3a3c35
https://lirias.kuleuven.be/handle/20.500.12942/698618
https://lirias.kuleuven.be/handle/20.500.12942/698618
Publikováno v:
Annals of Operations Research.
Deep neural network (DNN) architectures such as recurrent neural networks and transformers display outstanding performance in modeling sequential unstructured data. However, little is known about their merit to model customer churn with time-varying
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b1757591325eacf0242094c46da7063
https://doi.org/10.1007/s10479-023-05259-9
https://doi.org/10.1007/s10479-023-05259-9
Publikováno v:
Journal of Business Research. 164:114001
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c42e4957e6d8cb0fa358d0aa2aa3206e
https://doi.org/10.1016/j.jbusres.2023.114001
https://doi.org/10.1016/j.jbusres.2023.114001
Publikováno v:
Journal of World Business
Journal of World Business, 2023, 58 (2), pp.101414. ⟨10.1016/j.jwb.2022.101414⟩
Journal of World Business, 2023, 58 (2), pp.101414. ⟨10.1016/j.jwb.2022.101414⟩
We advance research on the impact of business English as a lingua franca (BELF) on the communication of multinational companies (MNCs). Study 1 helps predict country-level variations of linguistic style in the English language of 2,223 press releases
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90c335328bc0f79579306e7f93d203e6
https://hal.science/hal-04130917
https://hal.science/hal-04130917
Publikováno v:
Optimistic Marketing in Challenging Times: Serving Ever-Shifting Customer Needs ISBN: 9783031246869
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc6b713b9dce26bb791cefa90be8bb0d
https://doi.org/10.1007/978-3-031-24687-6_146
https://doi.org/10.1007/978-3-031-24687-6_146
Publikováno v:
Industrial Marketing Management
Industrial Marketing Management, Elsevier, 2021, 99, pp.28-39. ⟨10.1016/j.indmarman.2021.10.001⟩
Industrial Marketing Management, 2021, 99, pp.28-39. ⟨10.1016/j.indmarman.2021.10.001⟩
Industrial Marketing Management, Elsevier, 2021, 99, pp.28-39. ⟨10.1016/j.indmarman.2021.10.001⟩
Industrial Marketing Management, 2021, 99, pp.28-39. ⟨10.1016/j.indmarman.2021.10.001⟩
International audience; Business-to-business (B2B) customer retention relies heavily on analytics and predictive modeling to support decision making. Given this, we introduce uplift modeling as a relevant prescriptive analytics tool. In particular, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfcbeee8292a5ed6963aa8246d5ce87d
https://doi.org/10.1016/j.indmarman.2021.10.001
https://doi.org/10.1016/j.indmarman.2021.10.001
Publikováno v:
Industrial Marketing Management
Industrial Marketing Management, 2022, 106, pp.292-307. ⟨10.1016/j.indmarman.2022.09.006⟩
Industrial Marketing Management, 2022, 106, pp.292-307. ⟨10.1016/j.indmarman.2022.09.006⟩
International audience; Business-to-business (B2B) social media efforts have largely focused on creating brand engagement through online content. We propose to analyse company social media texts (tweets) according to its two main dimensions, content
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::742ff826b8ea7767e97f2f33eb6326da
https://hal.science/hal-03976744
https://hal.science/hal-03976744