EconPapers    
Economics at your fingertips  
 

Machine Learning, Artificial Intelligence and the Future of Work: Impact on HR, Learning and Development Professionals

Niki Kyriakidou (), Karen Trem, Joy Ogbemudia and Nehal Mahtab
Additional contact information
Niki Kyriakidou: Leeds Beckett University
Karen Trem: Leeds Beckett University
Joy Ogbemudia: Leeds Beckett University
Nehal Mahtab: Nottingham Trent University

Chapter 8 in Business Advancement through Technology Volume II, 2022, pp 157-181 from Palgrave Macmillan

Abstract: Abstract The world of work is evolving and the COVID- 19 pandemic has accelerated this change. AI&ML is here to stay, and HR professionals must be able to compete in this increasingly technology-dependent workplace where new skills and roles are gaining prominence. In this research we explore how technology is changing the way organisations operate and the effect this is having on employees and the challenges and opportunities that HR face. This chapter is based on key themes that emerged from 3 case studies derived from semi-structured interviews with senior HR practitioners and gives an oversight of current experience and perceptions of the future use of technology from these professionals. The chapter also informs potential knowledge and skills development for delivery to HR practitioners.

Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pal:pscchp:978-3-031-07765-4_8

Ordering information: This item can be ordered from
http://www.palgrave.com/9783031077654

DOI: 10.1007/978-3-031-07765-4_8

Access Statistics for this chapter

More chapters in Palgrave Studies in Cross-disciplinary Business Research, In Association with EuroMed Academy of Business from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-31
Handle: RePEc:pal:pscchp:978-3-031-07765-4_8