Integrating artificial intelligence and human resource management: a review and future research agenda DOI
Qinyan Gong, Di Fan, Timothy Bartram

et al.

The International Journal of Human Resource Management, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 39

Published: Dec. 27, 2024

The integration of artificial intelligence (AI) into human resource management (HRM) represents a rapidly evolving area practice and research. This review aims to identify nascent AI research trends within HRM capture the value potential technology. We outline developmental trajectory in discuss implications theories on organizations. Based co-word network analysis, study identifies four pathways published articles related HRM: AI-enhanced collaboration, AI-driven workplace, AI-enabled business models, AI-powered innovation. Finally, we highlight promising avenues for future across intersecting domains advance understanding this era.

Language: Английский

Barriers and Enablers of AI Adoption in Human Resource Management: A Critical Analysis of Organizational and Technological Factors DOI Creative Commons
Mitra Madanchian, Hamed Taherdoost

Information, Journal Year: 2025, Volume and Issue: 16(1), P. 51 - 51

Published: Jan. 15, 2025

This paper examines the key factors recognized as transformative in field of human resource management (HRM) and explores their influence on global adoption artificial intelligence (AI). While AI holds significant promise for enhancing HRM efficiency, employee engagement, Decision Making, its implementation presents a range organizational, technical, ethical challenges that organizations worldwide must navigate. Change aversion, data security worries, integration expenses are major roadblocks, but strong digital leadership, company culture, advancements NLP machine learning enablers. complex analysis questions common perception only disruptive by delving into relationship between power dynamics, corporate technology infrastructures. In this paper, we bring together research from several fields to help scholars practitioners understand nuances HRM, with an emphasis importance inclusive methods frameworks.

Language: Английский

Citations

2
Artificial intelligence (AI) in the world of work: bibliometric insights and mapping opportunities and challenges DOI

Ashish Malik,

Pamela Lirio, Pawan Budhwar

et al.

Personnel Review, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 31, 2025

Purpose This editorial review presents a bibliometric account of the convergence fields artificial intelligence (AI) and human resource management (HRM) an overview related contributions in this special issue. It also explores expansive area where research on AI HRM intersects, domain experiencing rapid growth transformation, faster than we envisaged. Design/methodology/approach substantive employs range analytical tools to present state knowledge topic provides Special Issue. Findings A thorough examination scholarly publications spanning two decades illuminates evolutionary path themes, key contributors, seminal works emerging trends within interdisciplinary sphere. Leveraging co-word analysis, distill essential themes insights from extensive dataset 654 journal curated Web Science database. Our analysis underscores critical domains, highlighting nuanced interplay between AI. Originality/value By integrating findings papers Issue, highlight speculate field is heading scholars have crucial? Opportunities contribute going forward.

Language: Английский

Citations

0
The Impact of Artificial Intelligence on Talent Acquisition in Small and Medium-sized Enterprises: A systematic review DOI Creative Commons
Shang Gao

Published: Feb. 16, 2025

With the continuous maturity of AI technology, applications can also steadily empower SMEs through big data, cloud computing, and other avenues, thus reducing threshold technology application. Therefore, embedding into talent recruitment management system is focus this study. In order to gain an in-depth insight development cutting-edge field, study relies on authoritative databases in such as Scopus, adopts bibliographic analysis, advanced rigorous research methodology, scientifically systematically screen analyse relevant literature published between 2020 October 2024. During screening process, keywords "artificial intelligence, acquisition, Small small medium-sized enterprises" were carefully selected ensure relevance literature. addition, provides a reference program for build AI-based acquisition program.

Language: Английский

Citations

0
Challenges of Adopting Artificial Technology in Human Resource Management Practices DOI
Tuğçe Şimşek, Ahmet Bahadır Şimşek

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 81 - 102

Published: Feb. 21, 2025

In this study, the challenges faced by organisations in integrating artificial intelligence (AI) into human resource management (HRM) practises are examined. For that, AI can bring significant benefits, including increasing efficiency and decision-making HR processes, namely recruitment, performance evaluation talent development. Its adoption, however, presents many technological infrastructure, data privacy, ethical, organizational culture. This chapter investigates these barriers, particularly importance of proper changes trade-off between element AI's capabilities. The article discusses strategies for overcoming challenges, practising ethical AI, security employee study offers actionable insights attempting to leverage HRM a way that succeed at both operational dimensions.

Language: Английский

Citations

0
Blind scouting: using artificial intelligence to alleviate bias in selection DOI
Louis-Étienne Dubois, Laurel Walzak

Personnel Review, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 26, 2025

Purpose Talent scouting is recognized as a vital activity for professional sports organizations to establish competitive advantage on the field. It remains, however, an imperfect science marred with bias and stereotypes. Technology – such data analytics artificial intelligence (AI) promising avenue deal these issues. Yet, much like in broader HRM literature, little known about its ability effectively alleviate how successfully make it co-exist human recruiters. Design/methodology/approach In collaboration North American soccer (football) team, this experimental study investigates impact of using AI-anonymized game footage scouts’ assessments. addition quantitative ratings, uses “think-aloud” or verbal cognition methodology capture changes Findings The results demonstrate “blind scouting” approach stands leads more robust Namely, findings indicate that de-identified through AI increases focus tactical abilities decreases observations potentially problematic physiological considerations. Originality/value This provides valuable insights moves past prevailing vs Human dichotomy by demonstrating technology can improve processes without removing need experts. also speaks AI’s benefits beyond cost time savings suggests other potential HRM-related applications AI.

Language: Английский

Citations

0
Editorial: Artificial intelligence, digitization, sustainable development goals & global disruptions DOI Creative Commons
Sonali Bhattacharya,

M. Sinha,

Vincent Dutot

et al.

International Journal of Information Management Data Insights, Journal Year: 2025, Volume and Issue: unknown, P. 100334 - 100334

Published: March 1, 2025

Citations

0
Traditional to digital: human resource management transformation DOI
Sunali Bindra, Sonali Bhattacharya, Shubhasheesh Bhattacharya

et al.

Journal of Work-Applied Management, Journal Year: 2025, Volume and Issue: unknown

Published: April 18, 2025

Purpose Organizations are experiencing significant transformations in human resource management (HRM) due to technological advancements and digitalization. The pandemic has accelerated this transformation, making it crucial for organizational competitiveness. While firms that quickly adopt digital HRM technologies gain a competitive advantage, uncertainty remains regarding the implications impact of transformation. This article examines key elements Design/methodology/approach A bibliometric analysis theories, constructs, characteristics methods (TCCM) framework used analyze theoretical foundations, contextual settings, methodological approaches. Findings findings indicate research evolved from examining basic automation (pre-2018) exploring complex human–AI interactions (2018 onward). However, gaps remain understanding how AI can complement rather than replace HR functions. Originality/value No other studies have conducted comprehensive review topic through TCCM lens.

Language: Английский

Citations

0
Integrating artificial intelligence and human resource management: a review and future research agenda DOI
Qinyan Gong, Di Fan, Timothy Bartram

et al.

The International Journal of Human Resource Management, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 39

Published: Dec. 27, 2024

The integration of artificial intelligence (AI) into human resource management (HRM) represents a rapidly evolving area practice and research. This review aims to identify nascent AI research trends within HRM capture the value potential technology. We outline developmental trajectory in discuss implications theories on organizations. Based co-word network analysis, study identifies four pathways published articles related HRM: AI-enhanced collaboration, AI-driven workplace, AI-enabled business models, AI-powered innovation. Finally, we highlight promising avenues for future across intersecting domains advance understanding this era.

Language: Английский

Citations

0