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Human Resource Analytics using Power Bi Visualization Tool
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Human Resource Analytics using Power Bi Visualization Tool (2020)Human Resource Analytics using Power Bi V…HR ANALYTICS: A MODERN TOOL IN HR FOR PREDICTIVE DECISION MAKING (2019)HR ANALYTICS: A MODERN TOOL I…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 …Prediction of Employee Turnover in Organizations using Machine Learning Algorithms (2016)Prediction of Employee Turnov…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…Smart human resource analytics for happiness management (2023)Smart human resource analytic…Machine Learning Algorithms for Unbalanced Dataset Promotion Prediction for Employees (2023)Machine Learning Algorithms f…Improving Company Performance by The Correctness of Management Decision through Implementation Dashboard using Power BI Tools (Case Study at Company Y) (2022)Improving Company Performance…Smart Recruiting as a Modern Tool for HR Hiring in the Context of Business Informatization (2021)Smart Recruiting as a Modern …The Iron Cage Revisited: Institutional Isomorphism and Collective Rationality in Organizational Fields (1983)The Iron Caged Revisited : Institutional Isomorphism and Collective Rationality in Organizational Fields (1983)The iron cage revisited institutional isomorphism and collective rationality in organizational fields (2004)An evidence-based review of HR Analytics (2016)Algorithmic management and app‐work in the gig economy: A research agenda for employment relations and HRM (2019)Algorithms at Work: The New Contested Terrain of Control (2019)Employee Turnover: A Meta-Analysis and Review with Implications for Research (1986)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Born to burnout: A meta-analytic path model of personality, job burnout, and work outcomes (2010)Employees recruitment: A prescriptive analytics approach via machine learning and mathematical programming (2020)RFRSF: Employee Turnover Prediction Based on Random Forests and Survival Analysis (2020)Algorithms as work designers: How algorithmic management influences the design of jobs (2021)Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry (2006)A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective (2021)From Big Data to Deep Data to Support People Analytics for Employee Attrition Prediction (2021)Responsible artificial intelligence in human resources management: a review of the empirical literature (2023)Labour turnover in London hotels and the cost effectiveness of preventative measures (1992)WHY PEOPLE STAY: USING JOB EMBEDDEDNESS TO PREDICT VOLUNTARY TURNOVER. (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)Armstrong's Handbook of Human Resource Management Practice (2009)Organizational Behavior (2013)Learning from practice: how HR analytics avoids being a management fad (2015)HR Analytics: A Literature Review and New Conceptual Model (2020)Personalized human resource management via HR analytics and artificial intelligence: Theory and implications (2023)Trends in the thematic landscape of HR analytics research: a structural topic modeling approach (2023)Business model analysis using computational modeling: a strategy tool for exploration and decision-making (2015)Exploring the value of project management certification in selection and recruiting (2018)HR disruption—Time already to reinvent talent management (2019)Performance Dashboards: Measuring, Monitoring, and Managing Your Business (2005)Introducing Microsoft Power BI (2016)Implementasi Business Intelligence untuk Menganalisis Data Persalinan Anak di Klinik Ani Padang dengan Menggunakan Aplikasi Tableau Public (2017)Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemsitry (1991)Science mapping software tools: Review, analysis, and cooperative study among tools (2011)How Technology Is Changing Work and Organizations (2016)Guest editorial: Exploring happiness in the workplace as an essential theme for developing managers post-pandemic (2023)The Effect of Training on Employee Performance (2013)Prediction of Employee Promotion Based on Personal Basic Features and Post Features (2018)The Effect of Training on Employee Performance (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)
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References

  • 2016HR and analytics: why HR is set to fail the big data challenge709 cited
  • 2016Prediction of Employee Turnover in Organizations using Machine Learning Algorithms243 cited
  • 2018Employee Turnover Prediction with Machine Learning: A Reliable Approach170 cited
  • 2019An Improved Random Forest Algorithm for Predicting Employee Turnover142 cited
  • 2019HR ANALYTICS: A MODERN TOOL IN HR FOR PREDICTIVE DECISION MAKING95 cited
  • 2016Human Resource Predictive Analytics (HRPA) For HR Management In Organizations75 cited

Cited by

  • 2023Smart human resource analytics for happiness management20 cited
  • 2023Machine Learning Algorithms for Unbalanced Dataset Promotion Prediction for Employees16 cited
  • 2021Smart Recruiting as a Modern Tool for HR Hiring in the Context of Business Informatization15 cited
  • 2022Improving Company Performance by The Correctness of Management Decision through Implementation Dashboard using Power BI Tools (Case Study at Company Y)8 cited

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