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Using HR Analytics to Support Managerial Decisions
11 references·2 citing·42 second hop
Using HR Analytics to Support Managerial Decisions (2020)Using HR Analytics to Support Managerial …An Improved Random Forest Algorithm for Predicting Employee Turnover (2019)An Improved Random Forest Alg…Employee Turnover Prediction with Machine Learning: A Reliable Approach (2018)Employee Turnover Prediction …Human Resource Predictive Analytics (HRPA) For HR Management In Organizations (2016)Human Resource Predictive Ana…HR and analytics: why HR is set to fail the big data challenge (2016)HR and analytics: why HR is s…A data mining approach to employee turnover prediction (case study: Arak automotive parts manufacturing) (2015)A data mining approach to emp…Raging debates in HR analytics (2012)Raging debates in HR analyticsAnalyzing the impact of HRIS implementations on HR personnel’s job satisfaction and turnover intention (2012)Analyzing the impact of HRIS …Towards Applying Data Mining Techniques for Talent Management (2009)Towards Applying Data Mining …Predictive models of employee voluntary turnover in a North American professional sales force using data-mining analysis (2009)Predictive models of employee…Human resource information systems (HRIS) and technology trust (2005)Human resource information sy…Book Review: The Challenge of Red China (1946)Book Review: The Challenge of…Predicting Employee Turnover Using Machine Learning Techniques (2025)Predicting Employee Turnover …Predicting Employee Turnover: Scoping and Benchmarking the State-of-the-Art (2024)Predicting Employee Turnover:…Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)5 Turnover and Retention Research: A Glance at the Past, a Closer Review of the Present, and a Venture into the Future (2008)Employees recruitment: A prescriptive analytics approach via machine learning and mathematical programming (2020)A machine learning-based analytical framework for employee turnover prediction (2021)Retention is All You Need (2023)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Common method biases in behavioral research: A critical review of the literature and recommended remedies. 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(2001)A novel scheme for employee churn problem using multi-attribute decision making approach and machine learning (2020)Risk prediction and early warning for air traffic controllers’ unsafe acts using association rule mining and random forest (2020)Big data in an HR context: Exploring organizational change readiness, employee attitudes and behaviors (2016)Breaking the vicious cycle of algorithmic management: A virtue ethics approach to people analytics (2020)Predicting Employee Attrition Using Machine Learning Techniques (2020)Quantifying the scale effect in geospatial big data using semi-variograms (2019)EEG Data Classification for Mental State Analysis Using Wavelet Packet Transform and Gaussian Process Classifier (2020)A multi-objective location analytics model for temporary emergency service center location decisions in disasters (2021)Current and Future Trends in Human Resources Analytics Adoption (2014)People analytics—A scoping review of conceptual boundaries and value propositions (2018)Determinants of effective HR analytics Implementation: An In-Depth review and a dynamic framework for future research (2023)
this work references cited by second hop

References

  • 2016HR and analytics: why HR is set to fail the big data challenge709 cited
  • 2005Human resource information systems (HRIS) and technology trust178 cited
  • 2018Employee Turnover Prediction with Machine Learning: A Reliable Approach170 cited
  • 2012Analyzing the impact of HRIS implementations on HR personnel’s job satisfaction and turnover intention160 cited
  • 1946Book Review: The Challenge of Red China147 cited
  • 2019An Improved Random Forest Algorithm for Predicting Employee Turnover142 cited
  • 2016Human Resource Predictive Analytics (HRPA) For HR Management In Organizations75 cited
  • 2012Raging debates in HR analytics73 cited
  • 2015A data mining approach to employee turnover prediction (case study: Arak automotive parts manufacturing)56 cited
  • 2009Towards Applying Data Mining Techniques for Talent Management25 cited
  • 2009Predictive models of employee voluntary turnover in a North American professional sales force using data-mining analysis22 cited

Cited by

  • 2024Predicting Employee Turnover: Scoping and Benchmarking the State-of-the-Art15 cited
  • 2025Predicting Employee Turnover Using Machine Learning Techniques15 cited

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