HR analytics in an era of rapid automation:
"Human Resources (HR) departments often have significant data sets related to employees and positions within their organizations, but optimizing use of this data can present challenges. As the business world rapidly transforms due to technological advancements, experts within the HR domain must...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
c2023
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "Human Resources (HR) departments often have significant data sets related to employees and positions within their organizations, but optimizing use of this data can present challenges. As the business world rapidly transforms due to technological advancements, experts within the HR domain must learn to effectively use data to improve workforce performance and assist with strategic decisions. A comprehensive understanding of HR analytics and its multiple levels, ranging from descriptive to perspective, can emphasize how the data can support, track, and monitor employee performance, culture, turnover rate, and absenteeism. HR Analytics in an Era of Rapid Automation is a valuable guide for academics, researchers, and practitioners interested in the latest developments in HR analytics. It covers relevant theories and conceptual models based on quantitative and qualitative findings and emphasizes the importance of utilizing HR analytics for sustainable decision making. With a focus on recruitment analytics, talent acquisition, employee performance analytics, and more, this book provides practical solutions to the challenges facing HR professionals in the rapidly changing business world. By highlighting the value of people and HR analytics for business success, this book offers several solutions for the analysis of challenges facing HR professionals today."-- |
| Beschreibung: | 24 PDFs (xvi, 359 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781668489444 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
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| 246 | 3 | 0 | |a Human resources analytics in an era of rapid automation |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c c2023 | |
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Preface -- Chapter 1. Integrating Diversity, Equity, and Inclusion (DEI) Effectiveness Metrics Into Recruitment Analytics -- Chapter 2. Predictive Analytics in Recruitment: Unveiling Through Skill Gap Employability Model -- Chapter 3. Role of HR Analytics in Ensuring Psychological Wellbeing and Job Security: Learnings From COVID-19 -- Chapter 4. Stakeholders' Expressions of Tech Layoffs: A Text Mining Analysis on the "Balance of Arguments" -- Chapter 5. Challenges Associated With HR Analytics With Special Focus on Indian Firms -- Chapter 6. Exploring the Other Side of the Coin: Evaluating the Dark Side of HR Analytics -- Chapter 7. HR Analytics in Employee Engagement and Turnover -- Chapter 8. HR Analytics: An Effective Tool for Performance Management and Business Development -- Chapter 9. Are Employees Disposable?: A Review on Data Driven Layoffs -- Chapter 10. Identifying the Antecedents and Outcomes of Happiness at Work: A Review -- Chapter 11. Employee Attrition and Absenteeism Analysis Using Machine Learning Methods: Application in the Manufacturing Industry -- Chapter 12. Identifying the Effect of Motivation on Employee Job Performance in People Analytics: A Review of the Retail Sector -- Chapter 13. Investigating the Cause and Effect of Employee Engagement Through the Lens of HR Analytics -- Chapter 14. Talent Retention: Factors Influencing Employee Turnover in the IT Industry -- Chapter 15. Use of Artificial Intelligence in the Employee Selection Process -- Chapter 16. Talent Retention Practices: Concepts and Analytical Perspectives -- Chapter 17. Measuring Employee Happiness Index in the Modern Workplace -- Compilation of References -- About the Contributors -- Index. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "Human Resources (HR) departments often have significant data sets related to employees and positions within their organizations, but optimizing use of this data can present challenges. As the business world rapidly transforms due to technological advancements, experts within the HR domain must learn to effectively use data to improve workforce performance and assist with strategic decisions. A comprehensive understanding of HR analytics and its multiple levels, ranging from descriptive to perspective, can emphasize how the data can support, track, and monitor employee performance, culture, turnover rate, and absenteeism. HR Analytics in an Era of Rapid Automation is a valuable guide for academics, researchers, and practitioners interested in the latest developments in HR analytics. It covers relevant theories and conceptual models based on quantitative and qualitative findings and emphasizes the importance of utilizing HR analytics for sustainable decision making. With a focus on recruitment analytics, talent acquisition, employee performance analytics, and more, this book provides practical solutions to the challenges facing HR professionals in the rapidly changing business world. By highlighting the value of people and HR analytics for business success, this book offers several solutions for the analysis of challenges facing HR professionals today."-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 08/07/2023). | ||
| 650 | 0 | |a Employees |x Rating of |x Data processing. | |
| 650 | 0 | |a Employees |x Training of |x Data processing. | |
| 650 | 0 | |a Human capital |x Data processing. | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Kureethara, Joseph Varghese, |e editor. | |
| 700 | 1 | |a Yadav, Radha, |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
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| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
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| contents | Preface -- Chapter 1. Integrating Diversity, Equity, and Inclusion (DEI) Effectiveness Metrics Into Recruitment Analytics -- Chapter 2. Predictive Analytics in Recruitment: Unveiling Through Skill Gap Employability Model -- Chapter 3. Role of HR Analytics in Ensuring Psychological Wellbeing and Job Security: Learnings From COVID-19 -- Chapter 4. Stakeholders' Expressions of Tech Layoffs: A Text Mining Analysis on the "Balance of Arguments" -- Chapter 5. Challenges Associated With HR Analytics With Special Focus on Indian Firms -- Chapter 6. Exploring the Other Side of the Coin: Evaluating the Dark Side of HR Analytics -- Chapter 7. HR Analytics in Employee Engagement and Turnover -- Chapter 8. HR Analytics: An Effective Tool for Performance Management and Business Development -- Chapter 9. Are Employees Disposable?: A Review on Data Driven Layoffs -- Chapter 10. Identifying the Antecedents and Outcomes of Happiness at Work: A Review -- Chapter 11. Employee Attrition and Absenteeism Analysis Using Machine Learning Methods: Application in the Manufacturing Industry -- Chapter 12. Identifying the Effect of Motivation on Employee Job Performance in People Analytics: A Review of the Retail Sector -- Chapter 13. Investigating the Cause and Effect of Employee Engagement Through the Lens of HR Analytics -- Chapter 14. Talent Retention: Factors Influencing Employee Turnover in the IT Industry -- Chapter 15. Use of Artificial Intelligence in the Employee Selection Process -- Chapter 16. Talent Retention Practices: Concepts and Analytical Perspectives -- Chapter 17. Measuring Employee Happiness Index in the Modern Workplace -- Compilation of References -- About the Contributors -- Index. |
| ctrlnum | (CaBNVSL)slc00004821 (OCoLC)1393187831 |
| dewey-full | 658.3 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.3 |
| dewey-search | 658.3 |
| dewey-sort | 3658.3 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| indexdate | 2024-11-26T14:52:00Z |
| institution | BVB |
| isbn | 9781668489444 |
| language | English |
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| publisher | IGI Global, |
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| spelling | HR analytics in an era of rapid automation Radha Yadav, Joseph Varghese Kureethara, editors. Human resources analytics in an era of rapid automation Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, c2023 24 PDFs (xvi, 359 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Preface -- Chapter 1. Integrating Diversity, Equity, and Inclusion (DEI) Effectiveness Metrics Into Recruitment Analytics -- Chapter 2. Predictive Analytics in Recruitment: Unveiling Through Skill Gap Employability Model -- Chapter 3. Role of HR Analytics in Ensuring Psychological Wellbeing and Job Security: Learnings From COVID-19 -- Chapter 4. Stakeholders' Expressions of Tech Layoffs: A Text Mining Analysis on the "Balance of Arguments" -- Chapter 5. Challenges Associated With HR Analytics With Special Focus on Indian Firms -- Chapter 6. Exploring the Other Side of the Coin: Evaluating the Dark Side of HR Analytics -- Chapter 7. HR Analytics in Employee Engagement and Turnover -- Chapter 8. HR Analytics: An Effective Tool for Performance Management and Business Development -- Chapter 9. Are Employees Disposable?: A Review on Data Driven Layoffs -- Chapter 10. Identifying the Antecedents and Outcomes of Happiness at Work: A Review -- Chapter 11. Employee Attrition and Absenteeism Analysis Using Machine Learning Methods: Application in the Manufacturing Industry -- Chapter 12. Identifying the Effect of Motivation on Employee Job Performance in People Analytics: A Review of the Retail Sector -- Chapter 13. Investigating the Cause and Effect of Employee Engagement Through the Lens of HR Analytics -- Chapter 14. Talent Retention: Factors Influencing Employee Turnover in the IT Industry -- Chapter 15. Use of Artificial Intelligence in the Employee Selection Process -- Chapter 16. Talent Retention Practices: Concepts and Analytical Perspectives -- Chapter 17. Measuring Employee Happiness Index in the Modern Workplace -- Compilation of References -- About the Contributors -- Index. Restricted to subscribers or individual electronic text purchasers. "Human Resources (HR) departments often have significant data sets related to employees and positions within their organizations, but optimizing use of this data can present challenges. As the business world rapidly transforms due to technological advancements, experts within the HR domain must learn to effectively use data to improve workforce performance and assist with strategic decisions. A comprehensive understanding of HR analytics and its multiple levels, ranging from descriptive to perspective, can emphasize how the data can support, track, and monitor employee performance, culture, turnover rate, and absenteeism. HR Analytics in an Era of Rapid Automation is a valuable guide for academics, researchers, and practitioners interested in the latest developments in HR analytics. It covers relevant theories and conceptual models based on quantitative and qualitative findings and emphasizes the importance of utilizing HR analytics for sustainable decision making. With a focus on recruitment analytics, talent acquisition, employee performance analytics, and more, this book provides practical solutions to the challenges facing HR professionals in the rapidly changing business world. By highlighting the value of people and HR analytics for business success, this book offers several solutions for the analysis of challenges facing HR professionals today."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 08/07/2023). Employees Rating of Data processing. Employees Training of Data processing. Human capital Data processing. Electronic books. Kureethara, Joseph Varghese, editor. Yadav, Radha, editor. IGI Global, publisher. Print version: 1668489422 9781668489420 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-8942-0 Volltext |
| spellingShingle | HR analytics in an era of rapid automation Preface -- Chapter 1. Integrating Diversity, Equity, and Inclusion (DEI) Effectiveness Metrics Into Recruitment Analytics -- Chapter 2. Predictive Analytics in Recruitment: Unveiling Through Skill Gap Employability Model -- Chapter 3. Role of HR Analytics in Ensuring Psychological Wellbeing and Job Security: Learnings From COVID-19 -- Chapter 4. Stakeholders' Expressions of Tech Layoffs: A Text Mining Analysis on the "Balance of Arguments" -- Chapter 5. Challenges Associated With HR Analytics With Special Focus on Indian Firms -- Chapter 6. Exploring the Other Side of the Coin: Evaluating the Dark Side of HR Analytics -- Chapter 7. HR Analytics in Employee Engagement and Turnover -- Chapter 8. HR Analytics: An Effective Tool for Performance Management and Business Development -- Chapter 9. Are Employees Disposable?: A Review on Data Driven Layoffs -- Chapter 10. Identifying the Antecedents and Outcomes of Happiness at Work: A Review -- Chapter 11. Employee Attrition and Absenteeism Analysis Using Machine Learning Methods: Application in the Manufacturing Industry -- Chapter 12. Identifying the Effect of Motivation on Employee Job Performance in People Analytics: A Review of the Retail Sector -- Chapter 13. Investigating the Cause and Effect of Employee Engagement Through the Lens of HR Analytics -- Chapter 14. Talent Retention: Factors Influencing Employee Turnover in the IT Industry -- Chapter 15. Use of Artificial Intelligence in the Employee Selection Process -- Chapter 16. Talent Retention Practices: Concepts and Analytical Perspectives -- Chapter 17. Measuring Employee Happiness Index in the Modern Workplace -- Compilation of References -- About the Contributors -- Index. Employees Rating of Data processing. Employees Training of Data processing. Human capital Data processing. |
| title | HR analytics in an era of rapid automation |
| title_alt | Human resources analytics in an era of rapid automation |
| title_auth | HR analytics in an era of rapid automation |
| title_exact_search | HR analytics in an era of rapid automation |
| title_full | HR analytics in an era of rapid automation Radha Yadav, Joseph Varghese Kureethara, editors. |
| title_fullStr | HR analytics in an era of rapid automation Radha Yadav, Joseph Varghese Kureethara, editors. |
| title_full_unstemmed | HR analytics in an era of rapid automation Radha Yadav, Joseph Varghese Kureethara, editors. |
| title_short | HR analytics in an era of rapid automation |
| title_sort | hr analytics in an era of rapid automation |
| topic | Employees Rating of Data processing. Employees Training of Data processing. Human capital Data processing. |
| topic_facet | Employees Rating of Data processing. Employees Training of Data processing. Human capital Data processing. Electronic books. |
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