Talya Bauer & Berrin Erdogan 
Human Resource Management [EPUB ebook] 
People, Data, and Analytics

Human resources is rapidly evolving into a data-rich field but with big data comes big decisions. The best companies understand how to use data to make strategic workforce decisions and gain significant competitive advantage.




Human Resource Management: People, Data, and Analytics, Second Edition introduces students to the fundamentals of talent management with integrated coverage of analytics in every chapter. Features tied to SHRM competencies and data exercises give students hands-on opportunities to practice the analytical and decision-making skills they need to excel in today’s job market.



Whether your students are future managers or future HR professionals, they will learn best practices for managing talent across the lifecycle in the changing workplace.



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Mục lục

Part I: HRM in Context

Chapter 1: Introduction to Human Resource Management

Chapter 2: Strategic HRM, Data-Driven Decision Making, and HR Analytics

Chapter 3: Data Management and Human Resource Information Systems

Chapter 4: Diversity, Equity, and Inclusion (DEI), and Equal Employment Laws

Chapter 5: The Analysis and Design of Work

Part II: Managing the Talent Life Cycle

Chapter 6: Workforce Planning and Recruitment

Chapter 7: Selection Processes and Procedures

Chapter 8: Training, Development, and Careers

Chapter 9: Performance Management

Chapter 10: Managing Employee Separations and Retention

Part III: Reward System

Chapter 11: Developing a Pay Structure

Chapter 12: Rewarding Performance

Chapter 13: Managing Benefits

Part IV: Special Topics in HR

Chapter 14: Employee and Labor Relations

Chapter 15: Employee Safety, Well-Being, and Wellness

Chapter 16: Opportunities and Challenges in International HRM

Glossary

Notes

Index

Giới thiệu về tác giả

Donald Truxillo, Ph D Professor of Work and Employment Studies Donald Truxillo earned his Ph D from Louisiana State University. He is a professor at the Kemmy Business School, University of Limerick, Ireland, and Professor Emeritus at Portland State University.  Previously, he worked in the areas of selection, employee development, and promotions in the public sector as an industrial psychologist and as a professor in the industrial/organizational psychology program at Portland State University. He studies the methods employers use to hire workers and the experiences of job applicants during recruitment and hiring. In addition, Donald examines issues related to workplace safety and health as well as age differences at work. He served as associate editor for the Journal of Management and is currently an associate editor at Work, Aging and Retirement. He is a member of nine editorial boards including Journal of Applied Psychology, Personnel Psychology, and Human Resource Management Review. He is the author of more than 100 peer-reviewed journal articles and book chapters. Donald is the recipient of SIOP’s 2017 Distinguished Teaching Contributions Award and a coauthor of the textbook Psychology and Work: Introduction to Industrial and Organizational Psychology. His research has been supported by the SHRM Foundation, the National Institute of Occupational Safety and Health (NIOSH), and the National Science Foundation (NSF), most recently to study privacy and security issues associated with online hiring. He has taught courses in human resource management, training and development, research methods, and industrial psychology. He has received three Fulbright grants to study abroad and has visited at universities in Italy, Portugal, Spain, Switzerland, Ireland, and Germany. Since 2010, he has been a member of the Doctoral Training Committee, Department of Psychological Science and Education, University of Trento, Italy. He is a fellow of SIOP, APA, APS, and IAAP.