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
3
Discover Artificial Intelligence, Journal Year: 2024, Volume and Issue: 4(1)
Published: May 13, 2024
Abstract The rapid advancement of Artificial Intelligence (AI) in the business sector has led to a new era digital transformation. AI is transforming processes, functions, and practices throughout organizations creating system process efficiencies, performing advanced data analysis, contributing value creation organization. However, implementation adoption systems organization not without challenges, ranging from technical issues human-related barriers, leading failed transformation efforts or lower than expected gains. We argue that while engineers scientists excel handling data-related tasks, they often lack insights into nuanced human aspects critical for organizational success. Thus, Human Resource Management (HRM) emerges as crucial facilitator, ensuring are aligned with values goals. This paper explores role HRM harmonizing AI's technological capabilities human-centric needs within achieving objectives. Our positioning delves HRM's multifaceted potential contribute toward success, including enabling transformation, humanizing usage decisions, providing strategic foresight regarding AI, facilitating by addressing concerns related fears, ethics, employee well-being. It reviews key considerations best operationalizing through culture, leadership, knowledge, policies, tools. By focusing on what can realistically achieve today, we emphasize its reshaping roles, advancing skill sets, curating workplace dynamics accommodate implementation. repositioning involves an active aspirations, rights, individuals integral economic, social, environmental policies study only fills gap existing research but also provides roadmap seeking improve their journey.
Language: Английский
Citations
8
IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 311 - 342
Published: Feb. 21, 2025
The rapid advancements in artificial intelligence have significantly impacted various aspects of modern organisations, including human resource management. This research paper delves into the impact AI on three typical HRM problems: employee productivity evaluation, recruitment, and talent assessment. investigates current state practices these areas, as well associated benefits barriers, proposes conditions for effective implementation HRM. Additionally, discusses necessary cultural transformation required to address challenges adopting offers theoretical practical insights organisations aiming leverage power their practices.
Language: Английский
Citations
0
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
International Journal of Business Ecosystem and Strategy (2687-2293), Journal Year: 2025, Volume and Issue: 7(2), P. 128 - 145
Published: May 2, 2025
In the rapidly evolving digital era, introducing AI has become a pivotal factor across all organisational levels. However, global proliferation of artificial intelligence sparked immediate apprehension among currently employed and those seeking employment. As we navigate societal transformations twenty-first century, dynamic interplay between job security risen as crucial area investigation within Human Resources Management research. This delves into perceptions on future employees' in workplace, question paramount importance current landscape. study is systematic review, with data comprising previously published research articles, reports, studies collected analysed to gain comprehensive insights. The literature review was conducted five steps: developing explicit questions for critique, collecting categorising data, evaluating, summarising evidence, discussing. process necessitated retrieving from various databases, including Scopus, Sabinet, Science Direct Elicit. adhered PRISMA guidelines, widely accepted framework conducting reviews, ensure methodological rigour transparency process. findings offer mixed Africa. provides themes relation how employees African affiliation view integration workplace: Future uncertainties, Role HR Practices, Employee well-being, training development, Positive attitudes towards opportunities. highlighted challenges opportunities Africa, making sense why do not trust introduction AI, it perceived threat their jobs. It offers valuable guidelines decision-makers Africa that utilised legally ethically steps are place mitigate employment losses.
Language: Английский
Citations
0
Business Process Management Journal, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 3, 2025
Purpose The purpose of the paper is to conduct a review literature on human-robot collaboration across different functions and activities human resource management (HRM) discuss its importance for change readiness in organizations. Design/methodology/approach A bibliometric analysis was conducted identify emerging research themes fields resources (HR) robotics, including readiness. Based initial results analysis, systematic subsequently performed gain more specific understanding various HRM Findings from highlight that technological progression HRM, such as AI-driven staffing training techniques, improves effectiveness personalization but raises concerns about privacy job scrutiny. AI robotics performance evaluation enhance objectivity reduce subjectivity, which can lead disengagement. Generational differences, cultural factors emotional quotient complicate adopt new technologies. emphasizes balancing with employee involvement meaningfulness ensure successful implementation engagement. Originality/value This synthesizes existing research, literature, theoretical concepts models, best practices strategies implementing functions. It highlights gaps current suggests areas future advance field HRM. By doing so, this enhances while offering practical insights essential effective management.
Language: Английский
Citations
0
Published: Jan. 1, 2025
Language: Английский
Citations
0
Human Behavior, Development and Society, Journal Year: 2024, Volume and Issue: 25(2), P. 126 - 136
Published: Aug. 13, 2024
This research study delved into the intricacies surrounding adoption of Google's Gemini and its ramifications on employee interactions, daily operational tasks, overall job satisfaction within organizational contexts. Employing qualitative methodology, utilized in-depth interviews as primary data collection method. a purposive sampling technique, participant pool comprised diverse array eight individuals from various departments firms in Bangkok, Thailand to ensure inclusion different perspectives roles. Through content analysis, scrutinized multifaceted impact dynamics operations. The findings revealed that introduction significantly reverberated across three dimensions workplace dynamics: execution overarching sentiment among employees. While integration promises substantially augment productivity levels elevate workforce morale, nuanced balanced approach is imperative optimize benefits while mitigating potential drawbacks. necessitates deliberate focus preserving human elements indispensable for fostering dynamic, innovative, harmonious team environment amidst technological advancements facilitated by Gemini.
Language: Английский
Citations
2
Published: June 28, 2024
Language: Английский
Citations
2
Cogent Business & Management, Journal Year: 2024, Volume and Issue: 11(1)
Published: Nov. 26, 2024
This study explores the transformative role of artificial intelligence (AI) in human resource management (HRM), focusing on key functions such as recruitment, retention, and performance management. A comprehensive review was carried out PRISMA framework BERTopic model AI HRM‑related keywords. The resulting publications were analyzed to extract meaningful topics. AI‑driven tools streamline candidate screening interview analysis, significantly enhancing hiring efficiency decision‑making accuracy. Concerns about algorithmic bias highlight need for robust governance frameworks ensure transparency fairness processes. emphasizes importance aligning adoption with Organizational Development principles foster inclusivity organizational justice. integration facilitates real‑time, objective assessments, although overreliance technologies can affect employee trust engagement. Despite these advances, highlights ethical concerns surrounding data privacy potential bias. Addressing challenges requires implementation promote AI‑HRM applications. Strategically, transforms HR from a reactive function proactive, data‑driven partner aligned long‑term goals. Successful depends mechanisms that uphold standards, trust, transparency, enabling organizations fully leverage AI's workforce
Language: Английский
Citations
1