Machine learning in the boardroom : gender diversity prediction using boosting and undersampling methods
Haroon ur Rashid Khan, Waqas Bin Khidmat, Amira Hammouda, Tufail Muhammad
| Year of publication: |
2023
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| Authors: | Ur Rashid Khan, Haroon ; Bin Khidmat, Waqas ; Hammouda, Amira ; Muhammad, Tufail |
| Published in: |
Research in international business and finance. - Amsterdam [u.a.] : Elsevier, ISSN 0275-5319, ZDB-ID 424514-3. - Vol. 66.2023, p. 1-17
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| Subject: | Machine learning | Corporate governance | Boardroom | Chinese companies | Data imbalance | Gender diversity | Treebased boosting | Undersampling | Künstliche Intelligenz | Artificial intelligence | Corporate Governance | Board of Directors | Board of directors | Diversity Management | Diversity management | China | Weibliche Führungskräfte | Women managers | Geschlecht | Gender |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ribaf.2023.102053 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014463394