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Machine learning with real-world HR data: mitigating the trade-off between predictive performance and transparency
16 references·1 citing·50 second hop
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References

  • 1960A Coefficient of Agreement for Nominal Scales42,335 cited
  • 1977An Application of Hierarchical Kappa-type Statistics in the Assessment of Majority Agreement among Multiple Observers4,327 cited
  • 2016How the machine ‘thinks’: Understanding opacity in machine learning algorithms3,179 cited
  • 2019Algorithms at Work: The New Contested Terrain of Control2,709 cited
  • 2013Validity and generalization in future case study evaluations1,436 cited
  • 20085 Turnover and Retention Research: A Glance at the Past, a Closer Review of the Present, and a Venture into the Future1,045 cited
  • 2017Surveying the forest: A meta‐analysis, moderator investigation, and future‐oriented discussion of the antecedents of voluntary employee turnover506 cited
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  • 2019A critical review of algorithms in HRM: Definition, theory, and practice281 cited
  • 2022Can HR adapt to the paradoxes of artificial intelligence?271 cited
  • 2021Algorithmic human resource management: Synthesizing developments and cross-disciplinary insights on digital HRM265 cited
  • 2020Machine learning for pattern discovery in management research238 cited
  • 2021Selecting Directors Using Machine Learning

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210 cited
  • 2015Understanding Employee Turnover in the Public Sector: Insights from Research on Teacher Mobility163 cited
  • 2022Embedding transparency in artificial intelligence machine learning models: managerial implications on predicting and explaining employee turnover140 cited
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    • 2025Exploring approaches to overcome challenges in adopting human resource analytics through stakeholder engagement17 cited