Improving measurement and prediction in personnel selection through the application of machine learning

IF 4.7 2区心理学 Q1 MANAGEMENT

Personnel Psychology Pub Date : 2023-07-14 DOI:10.1111/peps.12608

Nick Koenig, Scott Tonidandel, I. Thompson, Betsy H. Albritton, Farshad Koohifar, Georgi P. Yankov, Andrew Speer, Jay H. Hardy, Carter Gibson, Chris Frost, Mengqiao Liu, Denver McNeney, John Capman, Shane Lowery, M. Kitching, Anjali Nimbkar, Anthony Boyce, Tianjun Sun, Feng Guo, Hanyi Min, Bo Zhang, Logan Lebanoff, Henry Phillips, Charles Newton

引用次数: 2

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通过应用机器学习改进人员选择的测量和预测

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Personnel Psychology Multiple-

CiteScore

10.20

自引率

5.50%

发文量

期刊介绍： Personnel Psychology publishes applied psychological research on personnel problems facing public and private sector organizations. Articles deal with all human resource topics, including job analysis and competency development, selection and recruitment, training and development, performance and career management, diversity, rewards and recognition, work attitudes and motivation, and leadership.