
Workforce Ecosystems
Reaching Strategic Goals with People, Partners, and Technologies
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Workforce Ecosystems
Reaching Strategic Goals with People, Partners, and Technologies
About this book
Who is your workforce? This was a simple question when most organizations focused on hiring full- and part-time employees, but now organizations engage with both internal and external collaborators including subcontractors, freelancers, app developers, marketplace sellers, and others. As technology enables new, more efficient forms of working, and roles become more project- and outcomes-based, workforces are evolving into workforce ecosystems requiring updated strategies, leadership, and management practices.
Workforce Ecosystems by Elizabeth J. Altman, David Kiron, Jeff Schwartz, and Robin Jones is an essential research-driven framework for leading these complex, interconnected workforces. Drawing on case studies, worldwide surveys, and extensive interviews with C-suite executives and senior leaders from Amazon, IBM, Mayo Clinic, NASA, Nike, Roche, Unilever, the US Army, Walmart, and others, the authors explore what workforce ecosystems are and how to navigate their unique challenges and opportunities.
Practical and field-tested, Workforce Ecosystems will prepare leaders to identify distinguishing characteristics of workforce ecosystems; take advantage of their increasing relevance as the world becomes more interconnected and technology-enabled; refine business strategies to incorporate them; focus leadership, management practices, and technologies to leverage them; and traverse the ethical, societal, and public policy considerations of workforce ecosystems.
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Information
Table of contents
- Cover
- Contents
- Series Foreword
- Introduction
- Part I: Introducing Workforce Ecosystems
- Part II: Orchestrating Workforce Ecosystems
- Part III: Developing Socially Responsible Workforce Ecosystems
- Appendix A: List of Interviewees with Affiliations
- Appendix B: Survey and Interview Data Collection Research Methodology
- Acknowledgments
- Notes
- Index