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Potential of Artificial Intelligence in Boosting Employee Retention in the Human Resource Industry
15 references·3 citing·46 second hop
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(2003)Artificial intelligence for international business: Its use, challenges, and suggestions for future research and practice (2024)I.—COMPUTING MACHINERY AND INTELLIGENCE (1950)THE IMPACT OF HUMAN RESOURCE MANAGEMENT PRACTICES ON TURNOVER, PRODUCTIVITY, AND CORPORATE FINANCIAL PERFORMANCE. (1995)A Meta-Analysis of Antecedents and Correlates of Employee Turnover: Update, Moderator Tests, and Research Implications for the Next Millennium (2000)Artificial Intelligence and Human Resources Management: A Bibliometric Analysis (2022)Embedding transparency in artificial intelligence machine learning models: managerial implications on predicting and explaining employee turnover (2022)From traditional to smart human resources management (2022)What really matters in a job? Hedonic measurement using quit data (2001)Human Resource Management and Labor Productivity: Does Industry Matter? 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References

  • 2019Emotional intelligence or artificial intelligence– an employee perspective369 cited
  • 2021Artificial Intelligence in Tactical Human Resource Management: A Systematic Literature Review318 cited
  • 2020Predicting Employee Attrition Using Machine Learning Techniques280 cited
  • 2016Prediction of Employee Turnover in Organizations using Machine Learning Algorithms243 cited
  • 2021Artificial intelligence and HRM: identifying future research Agenda using systematic literature review and bibliometric analysis205 cited
  • 2020The benefits of eHRM and AI for talent acquisition193 cited
  • 2020An Empirical Study of Artificial Intelligence and its Impact on Human Resource Functions146 cited
  • 2021Machine learning and role of artificial intelligence in optimizing work performance and employee behavior128 cited
  • 2018Predicting Employee Attrition using XGBoost Machine Learning Approach96 cited
  • 2021Prediction of Employee Attrition Using Machine Learning and Ensemble Methods88 cited
  • 2018Early Prediction of Employee Attrition using Data Mining Techniques82 cited
  • 2013ANALYZING EMPLOYEE ATTRITION USING DECISION TREE ALGORITHMS80 cited
  • 2012The Long-Term Influence of Service Employee Attrition on Customer Outcomes and Profits73 cited
  • 2021Study and Prediction Analysis of the Employee Turnover using Machine Learning Approaches

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69 cited
  • 2021i-Pulse: A NLP based novel approach for employee engagement in logistics organization64 cited
  • Cited by

    • 2025Predicting Employee Attrition: XAI-Powered Models for Managerial Decision-Making38 cited
    • 2025Is artificial intelligence (AI) research biased and conceptually vague? A systematic review of research on bias and discrimination in the context of using AI in human resource management30 cited
    • 2024Fusing talent horizons: the transformative role of data integration in modern talent management28 cited