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

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 m...

Full description

Saved in:
Bibliographic Details
Main Authors Wheeler, Anthony R. (Author), Buckley, M. Ronald (Author)
Format Electronic eBook
LanguageEnglish
Published Bingley, U.K. : Emerald Publishing Limited, 2021.
SeriesThe future of work
Subjects
Online AccessFull text
ISBN9781801170390
DOI10.1108/9781801170376
Physical Description1 online resource (208 pages).

Cover

LEADER 00000nam a2200000Ii 4500
001 em-9781801170390
003 UtOrBLW
005 20210723151100.0
006 m o d
007 cr |||||||||||
008 210719t20212021enk ob 001 0 eng d
020 |a 9781801170390  |q (e-book) 
040 |a UtOrBLW  |b eng  |e rda  |c UtOrBLW  |d UtOrBLW 
080 |a 658.3 
082 0 4 |a 658.3  |2 23 
100 1 |a Wheeler, Anthony R.,  |e author. 
245 1 0 |a HR without people? :  |b industrial evolution in the age of automation, AI, and machine learning /  |c Anthony R. Wheeler (Widener University, USA), M. Ronald Buckley (University of Oklahoma, USA). 
246 3 |a Human resources without people? 
264 1 |a Bingley, U.K. :  |b Emerald Publishing Limited,  |c 2021. 
264 4 |c ©2021 
300 |a 1 online resource (208 pages). 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 0 |a The future of work 
500 |a Includes index. 
504 |a Includes bibliographical references. 
505 0 |a 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?. 
520 |a 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. 
588 0 |a Print version record. 
650 0 |a Personnel management  |x Forecasting. 
650 0 |a Automation  |x Human factors. 
650 0 |a Personnel management  |x Technological innovations. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Buckley, M. Ronald,  |e author. 
776 0 8 |i Print version:  |z 9781801170406 
776 0 8 |i PDF version:  |z 9781801170376 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://doi.org/10.1108/9781801170376