HR without people? : industrial evolution in the age of automation, AI, and machine learning / Anthony R. Wheeler (Widener University, USA), M. Ronald Buckley (University of Oklahoma, USA).

Format:

Book

Author/Creator:

Wheeler, Anthony R., author.

Buckley, M. Ronald, author.

Series:

The Future of Work

The future of work

Language:

English

Subjects (All):

Personnel management--Forecasting.

Personnel management.

Automation--Human factors.

Automation.

Personnel management--Technological innovations.

Physical Description:

1 online resource (209 pages)

Other Title:

Human resources without people?

Place of Publication:

London, England : Emerald Publishing, [2021]

Summary:

As artificial intelligence and machine learning practices grow, entire industries and jobs could become more automated or cease to exist altogether. HR Without People? traces provocative and challenging timelines for future developments in ten, thirty and fifty years' time, to interrogate how modern HR practices need to respond to far reaching technological and industrial change. Focusing on the role these technologies are playing in changing the HR profession and how they could and should develop industry practices in the future, HR experts Anthony R. Wheeler and M. Ronald Buckley explore how this profession has a vital role in responding to these changes and how it can adapt to meet the new challenges faced by both employers and employees. Examining key issues such as the effects of big data and algorithms ongoing role in influencing recruiting and selection, the changes in virtual technology that will alter training, and how the role of government will expand to address the needs of citizens affected by the rate of change in workforce displacement, HR Without People? is a stimulating and confrontational challenge to conventional thinking on this people-centric profession's role in the future of work.

Contents:

Chapter 1. The evolution of humans and their work

Chapter 2. The importance of work to societies

Chapter 3. The current and future states of automation, artificial intelligence, and machine learning

Chapter 4. The current state of HRM with automation, artificial intelligence, and machine learning

Chapter 5. Near term human resources challenges in the age of automation, artificial intelligence and machine learning

Chapter 6. The next generation

Chapter 7. A century of stress headed into the next century

Chapter 8. Serving multiple segments of the population

Chapter 9. The uneven spread of the fourth Industrial Revolution

Chapter 10. A technology-enabled future Renaissance?.

Notes:

Includes index.

Includes bibliographical references.

Print version record.

ISBN:

9781801170376

1801170371

9781801170390

1801170398

OCLC:

1261324412