Fine-grained job salary benchmarking with a nonparametric dirichlet process : based latent factor model
Qingxin Meng, Keli Xiao, Dazhong Shen, Hengshu Zhu, Hui Xiong
| Year of publication: |
2022
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|---|---|
| Authors: | Meng, Qingxin ; Xiao, Keli ; Shen, Dazhong ; Zhu, Hengshu ; Xiong, Hui |
| Published in: |
INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences. - Linthicum, Md. : INFORMS, ISSN 1526-5528, ZDB-ID 2004082-9. - Vol. 34.2022, 5, p. 2443-2463
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| Subject: | job salary benchmarking | latent factor model | nonparametric dirichlet process | talent management | Theorie | Theory | Benchmarking | Nichtparametrisches Verfahren | Nonparametric statistics | Lohn | Wages | Faktorenanalyse | Factor analysis | Schätzung | Estimation | Hochqualifizierte Arbeitskräfte | Highly skilled workers |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/ijoc.2022.1182 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014325434