HR analytics : understanding theories and applications
著者
書誌事項
HR analytics : understanding theories and applications
Sage, 2017
- : PB
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
How can predictive analytics help HR personnel to make more informed decisions? How has analytics extended a new perspective to express HR activities in measurable and objective terms?
The introduction of analytics has induced a shift in the traditional HR function-from human resource management (HRM) to human capital management (HCM). HR Analytics reflects on this crucial role of analytics and predictive modelling in human resource settings within modern-day organizations. Keeping in view the emerging need among HR professionals and analysts, this textbook offers interesting insights into the use of analytics to aid strategic decision making.
Key Features
* Goes beyond traditional HR metrics and scorecard, and discusses the major advances and application of big data in HR decision making
* Special focus on measurement of value propositions, data collection and visualization among others
* Chapter opening cases, industry insights and caselets throughout the book to give real-life perspectives
* Engaging exercises and assignments for students
* Ancillary teaching materials for instructors on the dedicated companion website
目次
Preface
Acknowledgements
Human Resource Management Function over the Years
HR Decision Making and HR Analytics
Introduction to HR Analytics
HR Business Process and HR Analytics
Forecasting and Measuring HR Value Propositions with HR Analytics
HR Analytics and Data
HR Analytics and Predictive Modelling
HR Analytics for Future
Glossary
Index
「Nielsen BookData」 より