Exploring the Synergy Between Artificial Intelligence and Human Resources: A Qualitative Review of Business Management Literature
This paper portrays the role of the interplay between artificial intelligence and human resources as evidenced by an extensive review of academic literature. The study investigated 402 abstracts of scholarly articles published in the Business Management and Accounting domain of the Scopus database s...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Sciendo
2024-12-01
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| Series: | Studies in Business and Economics |
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| Online Access: | https://doi.org/10.2478/sbe-2024-0047 |
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| _version_ | 1832570290584944640 |
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| author | Girlovan Aura Horobet Alexandra Botoroga Cosmin-Alin Belascu Lucian Lucian Paul |
| author_facet | Girlovan Aura Horobet Alexandra Botoroga Cosmin-Alin Belascu Lucian Lucian Paul |
| author_sort | Girlovan Aura |
| collection | DOAJ |
| description | This paper portrays the role of the interplay between artificial intelligence and human resources as evidenced by an extensive review of academic literature. The study investigated 402 abstracts of scholarly articles published in the Business Management and Accounting domain of the Scopus database spanning from 2000 to 2023. Using QDA Miner 2024, a novel approach based on content, link, and proximity analysis was employed to conduct the literature review. Three major findings were revealed by our investigation. First, while codes such as ‘AI’ and ‘employees’ dominate the academic discourse, there is an evolving trend toward more sophisticated analyses of AI-human resources interactions, including their impact on business strategies and performance. Second, research methods show significant diversification over time, going from more descriptive approaches to sophisticated quantitative and qualitative methodologies. Third, several areas appear to lack research focus, such as the connection between employee recruitment and future career paths with AI and business progress. The findings contribute to understanding how the technological revolution shapes business operations, particularly workforce management, while highlighting the need for structural reforms in organizational approaches to AI adoption, and provide valuable insights for both scholars and practitioners interested in the integration of AI in human resource management. |
| format | Article |
| id | doaj-art-2340d3aa2820487a8bf5ef92d9c7b1b1 |
| institution | Kabale University |
| issn | 2344-5416 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Studies in Business and Economics |
| spelling | doaj-art-2340d3aa2820487a8bf5ef92d9c7b1b12025-02-02T15:49:06ZengSciendoStudies in Business and Economics2344-54162024-12-0119311513610.2478/sbe-2024-0047Exploring the Synergy Between Artificial Intelligence and Human Resources: A Qualitative Review of Business Management LiteratureGirlovan Aura0Horobet Alexandra1Botoroga Cosmin-Alin2Belascu Lucian3Lucian Paul41Bucharest University of Economic Studies, Romania2Bucharest University of Economic Studies, Romania3Bucharest University of Economic Studies, Romania4Lucian Blaga University of Sibiu, Romania5Lucian Blaga University of Sibiu, RomaniaThis paper portrays the role of the interplay between artificial intelligence and human resources as evidenced by an extensive review of academic literature. The study investigated 402 abstracts of scholarly articles published in the Business Management and Accounting domain of the Scopus database spanning from 2000 to 2023. Using QDA Miner 2024, a novel approach based on content, link, and proximity analysis was employed to conduct the literature review. Three major findings were revealed by our investigation. First, while codes such as ‘AI’ and ‘employees’ dominate the academic discourse, there is an evolving trend toward more sophisticated analyses of AI-human resources interactions, including their impact on business strategies and performance. Second, research methods show significant diversification over time, going from more descriptive approaches to sophisticated quantitative and qualitative methodologies. Third, several areas appear to lack research focus, such as the connection between employee recruitment and future career paths with AI and business progress. The findings contribute to understanding how the technological revolution shapes business operations, particularly workforce management, while highlighting the need for structural reforms in organizational approaches to AI adoption, and provide valuable insights for both scholars and practitioners interested in the integration of AI in human resource management.https://doi.org/10.2478/sbe-2024-0047artificial intelligencehuman resourcesqualitative researchcontent analysislink analysisproximity analysis |
| spellingShingle | Girlovan Aura Horobet Alexandra Botoroga Cosmin-Alin Belascu Lucian Lucian Paul Exploring the Synergy Between Artificial Intelligence and Human Resources: A Qualitative Review of Business Management Literature Studies in Business and Economics artificial intelligence human resources qualitative research content analysis link analysis proximity analysis |
| title | Exploring the Synergy Between Artificial Intelligence and Human Resources: A Qualitative Review of Business Management Literature |
| title_full | Exploring the Synergy Between Artificial Intelligence and Human Resources: A Qualitative Review of Business Management Literature |
| title_fullStr | Exploring the Synergy Between Artificial Intelligence and Human Resources: A Qualitative Review of Business Management Literature |
| title_full_unstemmed | Exploring the Synergy Between Artificial Intelligence and Human Resources: A Qualitative Review of Business Management Literature |
| title_short | Exploring the Synergy Between Artificial Intelligence and Human Resources: A Qualitative Review of Business Management Literature |
| title_sort | exploring the synergy between artificial intelligence and human resources a qualitative review of business management literature |
| topic | artificial intelligence human resources qualitative research content analysis link analysis proximity analysis |
| url | https://doi.org/10.2478/sbe-2024-0047 |
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