Transformative Impact of Artificial Intelligence on Human Resource Management in the Era of Industry 5.0

Khadija Kaukab, Arshia Hashmi (), Muhmmad Shahid Mehmood () and Muhammad Shehzad Hanif ()
Additional contact information
Khadija Kaukab: University of Central Punjab, UCP Business School
Arshia Hashmi: University of Central Punjab, UCP Business School
Muhmmad Shahid Mehmood: University of Central Punjab, UCP Business School
Muhammad Shehzad Hanif: University of Central Punjab, UCP Business School

A chapter in Artificial Humans, 2026, pp 109-122 from Springer

Abstract: Abstract The introduction of artificial intelligence (AI) in human resource management (HRM) is changing traditional practices with efficiency, decision-making, and employee engagement. Since Industry 5.0 has been characterized by human-centricity, sustainability, and collaborative intelligence, AI generates synergy between human creativity and the efficiency of machines. This crucial change in narrative reorients the HR functions from recruitment and selection to training, performance evaluation, and employee retention. AI tools such as chatbots, gamified assessments, and predictive analytics simplify the process, reducing bias and enabling decisions based on data. Furthermore, AI also contributes to creating inclusive, adaptive workplaces, by alleviating skill gaps, enhancing employee satisfaction, and supporting continuous learning. Despite some of the plus points generated, there are challenges faced by AI [applications], ranging from data privacy, algorithmic bias, to high costs of implementation. Development of solutions to these problems will take recourse to creating sound ethical frameworks, good legal compliance, and responsible investments. This research elucidates how AI transforms HRM into environments that steadily build innovatively and resilience, in line with the Industry 5.0 principles to create sustainable value-added organizational environments.

Keywords: Artificial intelligence; Human resource management; Industry 5.0 (search for similar items in EconPapers)
Date: 2026
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:spr:fuobcp:978-3-032-06604-6_7

Ordering information: This item can be ordered from
http://www.springer.com/9783032066046

DOI: 10.1007/978-3-032-06604-6_7

Access Statistics for this chapter

More chapters in Future of Business and Finance from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().