Artificial Intelligence (AI) Adoption in HR Management

The research seeks to explore and analyze the various challenges associated with adopting artificial intelligence (AI) within the functional domains of human resource management, with a particular focus on its implementation in corporate sector projects across Kazakhstan. A self-administered three-part questionnaire collected data from human resources (HR) professionals in Kazakhstan. Data were processed using Microsoft Excel and R Studio R Language. McDonald's omega and Bartlett's tests ensured the questionnaire's reliability and validity for total respondents. A quantitative approach utilizing structural equation modeling with SmartPLS 3.0 was applied to analyze and assess complex theoretical relationships among variables in the selected hypotheses. The significant findings are that challenges like cultural resistance, investment costs, and skill gaps substantially influenced the implementation of AI in the HR domain of Kazakhstan companies, except for the integration of other systems of the organization. The study was limited to four HR sectors in Kazakhstan, with inconsistent data collection.

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Publication Details

Journal
International Journal of Asian Business and Information Management
Published
2025-04-26
DOI
https://doi.org/10.4018/ijabim.376012
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
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article

Artificial Intelligence (AI) Adoption in HR Management

Diana Serikbay, Rajasekhara Mouly Potluri
International Journal of Asian Business and Information Management
AI and HR Technologies
article

Artificial Intelligence (AI) Adoption in HR Management

Diana Serikbay, Rajasekhara Mouly Potluri
article en

Abstract

The research seeks to explore and analyze the various challenges associated with adopting artificial intelligence (AI) within the functional domains of human resource management, with a particular focus on its implementation in corporate sector projects across Kazakhstan. A self-administered three-part questionnaire collected data from human resources (HR) professionals in Kazakhstan. Data were processed using Microsoft Excel and R Studio R Language. McDonald's omega and Bartlett's tests ensured the questionnaire's reliability and validity for total respondents. A quantitative approach utilizing structural equation modeling with SmartPLS 3.0 was applied to analyze and assess complex theoretical relationships among variables in the selected hypotheses. The significant findings are that challenges like cultural resistance, investment costs, and skill gaps substantially influenced the implementation of AI in the HR domain of Kazakhstan companies, except for the integration of other systems of the organization. The study was limited to four HR sectors in Kazakhstan, with inconsistent data collection.

International Journal of Asian Business and Information ManagementVol. 16(1)
Kazakh-British Technical University (KZ)
Openalex Percentile: Top 90%
AI and HR Technologies
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