HR without people? : Industrial evolution in the age of automation, AI, and machine learning

Author

• Wheeler, Anthony R.

Additional Author(s)

-

Publisher

Bingley, U.K: Emerald Group Publishing Limited, 2021

Language

English

ISBN

9781801170390

Series

The future of work

Subject(s)

• AUTOMATION--HUMAN FACTORS
• PERSONNEL MANAGEMENT--FORECASTING

Notes

. . Includes Index

Abstract

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.
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Physical Dimension

Number of Page(s)

1 online resource (208 p.)

Dimension

-

Other Desc.

-

Summary / Review / Table of Content

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?.

Exemplar(s)

#	Accession No.	Call Number	Location	Status
1.	01181/21	658.3 Whe H	Online !	Available