
eBook - ePub
Fundamentals of Human Resource Management
People, Data, and Analytics
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Fundamentals of Human Resource Management
People, Data, and Analytics
About this book
Fundamentals of Human Resource Management: People, Data, and Analytics provides a current, succinct, and interesting introduction to the world of HRM with a special emphasis on how data can help managers make better decisions about the people in their organizations. Authors Talya Bauer, Berrin Erdogan, David Caughlin, and Donald Truxillo use cutting-edge case studies and contemporary examples to illustrate key concepts and trends. A variety of exercises give students hands-on opportunities to practice their problem-solving, ethical decision-making, and data literacy skills. Non-HR majors and HR majors alike will learn best practices for managing talent in today's ever-evolving workplace.
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Yes, you can access Fundamentals of Human Resource Management by Talya Bauer,Berrin Erdogan,David Caughlin,Donald Truxillo in PDF and/or ePUB format, as well as other popular books in Business & Human Resource Management. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Half Title
- Title Page
- Copyright Page
- Brief Contents
- Detailed Contents
- Preface
- About the Authors
- Publisher Note
- 1 Human Resource Management
- 2 Strategic HRM, Data-Driven Decision Making, and HR Analytics
- 3 Data Management and Human Resource Information Systems
- 4 Diversity, Inclusion, and Equal Employment Laws
- 5 The Analysis and Design of Work
- 6 Workforce Planning and Recruitment
- 7 Selection Processes and Procedures
- 8 Training, Development, and Careers
- 9 Performance Management
- 10 Managing Employee Separations and Retention
- 11 Rewarding Employees
- 12 Managing Benefits
- 13 Employee and Labor Relations
- 14 Employee Safety, Well-Being, and Wellness
- 15 Opportunities and Challenges in International HRM
- Appendix A Cases
- Appendix B Data Analytics Exercises
- Glossary
- Index