{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T12:12:17Z","timestamp":1778155937805,"version":"3.51.4"},"reference-count":43,"publisher":"IGI Global","issue":"1","license":[{"start":{"date-parts":[[2025,4,26]],"date-time":"2025-04-26T00:00:00Z","timestamp":1745625600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/deed.en_US"},{"start":{"date-parts":[[2025,4,26]],"date-time":"2025-04-26T00:00:00Z","timestamp":1745625600000},"content-version":"am","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/deed.en_US"},{"start":{"date-parts":[[2025,4,26]],"date-time":"2025-04-26T00:00:00Z","timestamp":1745625600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/deed.en_US"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,4,26]]},"abstract":"<p>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.<\/p>","DOI":"10.4018\/ijabim.376012","type":"journal-article","created":{"date-parts":[[2025,4,26]],"date-time":"2025-04-26T13:04:38Z","timestamp":1745672678000},"page":"1-18","source":"Crossref","is-referenced-by-count":3,"title":["Artificial Intelligence (AI) Adoption in HR Management"],"prefix":"10.4018","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6935-1373","authenticated-orcid":true,"given":"Rajasekhara Mouly","family":"Potluri","sequence":"first","affiliation":[{"name":"Kazakh-British Technical University, Kazakhstan"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-4821-7733","authenticated-orcid":true,"given":"Diana","family":"Serikbay","sequence":"additional","affiliation":[{"name":"Kazakh-British Technical University, Kazakhstan"}]}],"member":"2432","reference":[{"key":"IJABIM.376012-0","unstructured":"Agnew, W., McKee, K. 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