Investing in People, 2nd Edition

More than ever before, HR practitioners must empirically demonstrate a clear link between their practices and firm performance. In this book, Wayne F. Cascio and John W. Boudreau show exactly how to choose, implement, and use metrics to improve decision-making, optimize organizational effectiveness, and maximize the value of HR investments. They provide powerful techniques for looking inside the HR “black box,” implementing human capital metrics that track the effectiveness of talent policies and practices, demonstrating the logical connections to financial and line-of-business, and using HR metrics to drive more effective decision-making. Using their powerful “LAMP” methodology (Logic, Analytics, Measures, and Process), the authors demonstrate how to measure and analyze the value of every area of HR that impacts strategic value. Among the areas covered in depth are:

• Hiring
• Training
• Leadership Development
• Health and Wellness
• Absenteeism
• Retention
• Employee Engagement

Readers will master crucial foundational principles such as risk, return, and economies of scale and use them to evaluate investments objectively in everything from work/life programs to training. Also included are powerful ways to integrate HR with enterprise strategy and budgeting and for gaining commitment from business leaders outside HR.

Table of Contents

Chapter 1 Making HR Measurement Strategic
Chapter 2 Analytical Foundations of HR Measurement
Chapter 3 The Hidden Costs of Absenteeism
Chapter 4 The High Cost of Employee Separations
Chapter 5 Employee Health, Wellness, and Welfare
Chapter 6 Employee Attitudes and Engagement
Chapter 7 Financial Effects of Work-Life Programs
Chapter 8 Staffing Utility: The Concept and Its Measurement
Chapter 9 The Economic Value of Job Performance
Chapter 10 The Payoff from Enhanced Selection
Chapter 11 Costs and Benefits of HR Development Programs
Chapter 12 Talent Investment Analysis: Catalyst for Change

Appendix A: The Taylor-Russell Tables
Appendix B: The Naylor-Shine Table for Determining the Increase in Mean Criterion Score Obtained by Using a Selection Device