Artificial Intelligence and Human Resource Management DOI

Huzaif Alji

Advances in human resources management and organizational development book series, Journal Year: 2024, Volume and Issue: unknown, P. 133 - 152

Published: Dec. 18, 2024

The very language itself “Artificial Intelligence” has become globe wide known and is responsible for the technology controlling alone that directly contributing to transformation of biosphere on planet; is, earth in its turn. Being able name some sectors are using AI technologies marketing, finance, agriculture, manufacturing. swift apple artificial intelligence characterised both growing acceptability popularity because it will soon displace various professions. being used enable human resources managers make best least costly decisions opportunity. This brought about a lot innovations characteristics HRM (Kapoor, 2022). It not long ago when many us words had formerly been by many, such as deep learning, neural networks, data mining, or analysis

Language: Английский

Embracing the AI/automation age: preparing your workforce for humans and machines working together DOI
Emmanuel Senior Tenakwah, Chrystie Watson

Strategy and Leadership, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 13, 2024

Purpose This paper aims to highlight the crucial role of strategic human resource management and leadership in preparing workforces for artificial intelligence (AI) automation age. Design/methodology/approach The adopts a conceptual approach, reviewing existing literature, drawing insights from industry experts, real-world examples develop framework sustaining AI era. Findings finds that successfully integrating workforce requires proactive approach HR leaders, emphasising critical importance aligning strategies with overall business goals through planning. Developing an AI-literate adaptable is embracing AI-driven changes, necessitating creation new AI-centric roles career pathways, innovative job models, comprehensive upskilling programs. must act as translator between humans machines, fostering seamless collaboration, addressing cultural ethical implications, leading charge. Research limitations/implications relies primarily on arguments anecdotal evidence experts. Practical implications provides actionable leaders foster sustainable transitions within workforces. Social highlights potential social such displacement concerns need reskilling initiatives. It emphasises proactively these clear communication, security measures, learning development opportunities. Originality/value offers fresh perspective era, positioning enablers human-machine collaboration. synthesises various sources provide preparation, adoption

Language: Английский

Citations

4

AI in HRM DOI

Tarun Kumar Vashishth,

Vikas Sharma,

Tanuja Tomer

et al.

Advances in human resources management and organizational development book series, Journal Year: 2025, Volume and Issue: unknown, P. 157 - 188

Published: Jan. 31, 2025

The creation of generative AI is transforming human aid control (HRM) via improving employee engagement and pleasure. This paper explores the combination AI-driven tools in HRM, highlighting how those technology personalize worker reviews, automate routine obligations, offer actual-time feedback. end result an extra responsive adaptive place job that fosters higher activity satisfaction stages. However, also addresses demanding situations related to integration, such as making sure records privateness mitigating ability biases. By leveraging successfully, corporations can create dynamic, efficient, worker-centric HR environment, boosting ordinary organizational performance properly-being.

Language: Английский

Citations

0

A Bibliometric Review on the Use of Artificial Intelligence in Human Resources Management DOI
Gültekin Altuntaş, Yelda İNANÇ HOŞ, İlknur Çevik Tekin

et al.

Advances in human resources management and organizational development book series, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 46

Published: Jan. 31, 2025

This study aims to investigate studies on the use of artificial intelligence in human resources management last 10 years using bibliometric method. By searching keywords “Human Resources Management”, Resource Resources”, Resource”, “Artificial Intelligence”, “Machine Learning”, “Deep Narrow General Super “Generative Artificial AI”, and their abbreviations such as HRM, AI, so Web Science Core Collection database July 22, 2024, 47,955 scholar works have been accessed. The filtering process has yielded a data set consisting 949 publications, which analyzed analysis method by software, VOSviewer with version 1.6.20. reveals leading authors institutions significant contributions provides holistic view AI applications highlighting both opportunities challenges an interdisciplinary perspective.

Language: Английский

Citations

0

Intelligent Support for Personnel Decision-Making and Socially Responsible HRM Using Big Data and AI DOI
Aziza B. Karbekova,

Saltanat A. Tashbolotova,

Ainura B. Mamatova

et al.

Studies in big data, Journal Year: 2025, Volume and Issue: unknown, P. 3 - 11

Published: Jan. 1, 2025

Language: Английский

Citations

0

HOW IS ARTIFICIAL INTELLIGENCE CHANGING HR? ADAPTIVE MANAGEMENT FOR THE NEW ENVIRONMENT DOI Creative Commons
Dmytro Antoniuk, Björn Sven Ivens,

Olexandr Kolyada

et al.

Baltic Journal of Economic Studies, Journal Year: 2025, Volume and Issue: 11(2), P. 13 - 26

Published: April 30, 2025

The integration of artificial intelligence (AI) into human resource management (HRM) is a pivotal factor in the transformation conventional HR practices. increasing complexity processes, conjunction with mounting necessity for personalisation, efficiency and adaptability, underscores importance leveraging AI-based solutions within contemporary organisations. objective this research to explore role AI HRM, analyse its impact on adaptive approaches, identify key factors that successful implementation processes. study uses mixed approach, combining literature review, empirical data collection based interviews companies different sizes, correlation analysis. analysis focuses adaptability systems, their employee engagement, productivity decision-making Special attention paid ethical issues such as algorithmic bias transparency, well organisational barriers may prevent AI. findings demonstrate technology has potential enhance This enhancement achieved through optimisation recruitment creation personalised learning pathways, facilitation real-time performance evaluation, cultivation culture fosters proactive career development. Adaptive AI-powered systems enable organisations respond expeditiously market changes, optimise talent management, minimise operational risks. demonstrates that, while SMEs exhibit greater flexibility implementing solutions, large corporations encounter structural managerial challenges necessitate strategic adjustments facilitate effective practical significance lies recommendations seeking implement models. It provides insights how use improve address considerations.

Language: Английский

Citations

0

The artificial intelligence automation dilemma: lessons from recent labour disputes in Australia DOI
Emmanuel Senior Tenakwah,

Albert Amankwaa

Strategic HR Review, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 24, 2025

Purpose This paper aims to highlight the crucial role of strategic human resource management in addressing labour tensions that arise from integration artificial intelligence (AI) and automation contemporary workplaces. Effective approaches managing technological transformation while maintaining positive relations are also discussed. Design/methodology/approach The draws upon two dispute cases at supermarket giants, Woolworths aviation sector Australia. analysed through lens discussed using previous studies, expert industry insights. Findings reveals successful AI requires more than expertise – it demands sophisticated people strategies can balance innovation with concerns. To do so, there is a need for workforce planning integration, cultural change management, ethical considerations worker well-being, balancing efficiency agency leadership transformation. Comprehensive strategy development, stakeholder engagement, governance structures skills development recommended smooth modern Originality/value uses recent disputes Australia illuminate critical HR employee well-being engagement. As continue reshape workplaces, must serve both organisational objectives interests. Lessons this guide future ways promote sustainable equitable workplace

Language: Английский

Citations

0

The intersection of artificial intelligence and human resources: transforming journey using natural language processing DOI
Chetan Sharma, Nisha Chanana

Iran Journal of Computer Science, Journal Year: 2025, Volume and Issue: unknown

Published: April 3, 2025

Language: Английский

Citations

0

Artificial Intelligence in Human Resource Management: A PRISMA-based Systematic Review DOI Creative Commons
Adil Benabou, Fatima Touhami

Acta Informatica Pragensia, Journal Year: 2025, Volume and Issue: unknown

Published: May 8, 2025

Language: Английский

Citations

0

A Literature Review on Artificial Intelligence and Its Role in Enhancing Employee Engagement in Human Resource Management DOI
Belen Maria Moreno-Cabezali

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 169 - 194

Published: May 2, 2025

This chapter explores the transformative potential of artificial intelligence (AI) in enhancing employee engagement within human resource management (HRM). Guided by PRISMA approach, it reviews applications, benefits, and challenges integrating AI technologies such as predictive analytics, generative AI, explainable (XAI) into HR practices. The analysis highlights how these tools personalize experiences, optimize workloads, improve decision-making while addressing ethical concerns, transparency, organizational resistance. By examining trends like AI's role personalization real-time feedback, underscores ability to reshape HRM, foster inclusivity, support sustainable workforce engagement. Combining theoretical frameworks with practical insights, offers a comprehensive perspective on creating adaptive strategies.

Language: Английский

Citations

0

Effects of AI-based technologies on employees’ work engagement: Implications for the human-centered design of digital work DOI Creative Commons
Vera Rick,

Marie Stebner,

Larissa Dräger

et al.

Zeitschrift für Arbeitswissenschaft, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 18, 2024

Language: Английский

Citations

2