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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विषयसूची
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
लेखक के बारे में
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.
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