LEVERAGING ARTIFICIAL INTELLIGENCE FOR HUMAN RESOURCES DIGITALIZATION: TRANSFORMING WORKFORCE MANAGEMENT IN THE ERA OF SMART TECHNOLOGIES

The digitalization of Human Resources (HR) is rapidly transforming traditional workforce management practices, with artificial intelligence (AI) at the forefront of this evolution. This paper examines how AI-driven technologies are reshaping key HR functions, including talent acquisition, employee engagement, workforce planning, and performance management. AI-powered tools, such as predictive analytics, natural language processing, and machine learning algorithms, enable organizations to streamline processes, enhance decision-making, and improve employee experiences. For instance, AI simplifies candidate screening by analyzing resumes more efficiently, while chatbots provide real-time support to employees and candidates, fostering timely and personalized communication. Moreover, the integration of AI in workforce planning allows organizations to predict trends, optimize resource allocation, and align talent strategies with business objectives. The case study presented in this paper highlights the potential of AI to foster diversity and inclusion by mitigating biases in recruitment and evaluation processes. However, this paper addresses the ethical and practical challenges associated with AI implementation, such as data privacy, algorithmic transparency, and workforce upskilling. By bridging the gap between technological advancement and human-centric HR practices, this research underscores the transformative potential of AI in creating more agile, efficient, and inclusive workplaces. The findings aim to provide actionable insights for HR professionals navigating the digital transformation journey.

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Publication Details

Journal
EMC Review - Časopis za ekonomiju - APEIRON
Published
2025-05-21
DOI
https://doi.org/10.7251/emc2501230d
Citations
1
Primary Topic
History and advancements in chemistry
Type
article
Field-Weighted Citation Impact
1.75
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article

LEVERAGING ARTIFICIAL INTELLIGENCE FOR HUMAN RESOURCES DIGITALIZATION: TRANSFORMING WORKFORCE MANAGEMENT IN THE ERA OF SMART TECHNOLOGIES

1 citations
EMC Review - Časopis za ekonomiju - APEIRON
History and advancements in chemistry
1.75
article

LEVERAGING ARTIFICIAL INTELLIGENCE FOR HUMAN RESOURCES DIGITALIZATION: TRANSFORMING WORKFORCE MANAGEMENT IN THE ERA OF SMART TECHNOLOGIES

article en
1 citations

Abstract

The digitalization of Human Resources (HR) is rapidly transforming traditional workforce management practices, with artificial intelligence (AI) at the forefront of this evolution. This paper examines how AI-driven technologies are reshaping key HR functions, including talent acquisition, employee engagement, workforce planning, and performance management. AI-powered tools, such as predictive analytics, natural language processing, and machine learning algorithms, enable organizations to streamline processes, enhance decision-making, and improve employee experiences. For instance, AI simplifies candidate screening by analyzing resumes more efficiently, while chatbots provide real-time support to employees and candidates, fostering timely and personalized communication. Moreover, the integration of AI in workforce planning allows organizations to predict trends, optimize resource allocation, and align talent strategies with business objectives. The case study presented in this paper highlights the potential of AI to foster diversity and inclusion by mitigating biases in recruitment and evaluation processes. However, this paper addresses the ethical and practical challenges associated with AI implementation, such as data privacy, algorithmic transparency, and workforce upskilling. By bridging the gap between technological advancement and human-centric HR practices, this research underscores the transformative potential of AI in creating more agile, efficient, and inclusive workplaces. The findings aim to provide actionable insights for HR professionals navigating the digital transformation journey.

EMC Review - Časopis za ekonomiju - APEIRONVol. 29(1)
Pan-European University (SK), University of Belgrade (RS), Telekom Srbija (Serbia) (RS)
Reduced inequalities
Openalex Percentile: Top 11%
History and advancements in chemistry
1.75
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