Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386871570> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W4386871570 endingPage "42" @default.
- W4386871570 startingPage "1" @default.
- W4386871570 abstract "Background: Researchers and practitioners both exhibit a growing interest in the application of Artificial Intelligence in Human Resources Management. However, research shows that there remains a substantial gap between the promise of AI and its practical application in organizations. Previous research has identified some of the challenges facing the application of Artificial Intelligence in Human Resources Management. Among these challenges is the varied nature of Human Resources functions. To address this, we adopt the Human Resource Life Cycle, which is composed of 6 dimensions that closely mirror the Human Resource functions that exist in many organizations: 1) Strategic Planning, 2) Recruitment and Deployment, 3) Training and Development, 4) Performance Management, 5) Compensation Management, and 6) Human Relations Management. Method: Through a scoping literature review, we have identified 85 articles on the topic and classified them based on the 6 dimensions of the Human Resource Life Cycle. Results: Our scoping review found that Artificial Intelligence has already been studied in relation to all 6 dimensions of the Human Resource Life Cycle. In addition, a seventh dimension was identified and integrated into the existing Human Resource Life Cycle framework: Legal and Ethical Issues. Based on the scoping review, a research agenda is presented to provide guidance for future research in the field of Artificial Intelligence in Human Resources Management. Conclusion: All 6 dimensions of the Human Resource Life Cycle, along with the seventh dimension – Legal and Ethical Issues – are already present in the literature. Future research could focus on the impact of AI on connections between dimensions, as well as the impact on HR-specific outcomes. Practitioners must recognize the limitations related to the application of AI in Human Resources Management, even though AI should still be viewed as a solution to many challenges facing Human Resources Management in organizations." @default.
- W4386871570 created "2023-09-20" @default.
- W4386871570 creator A5007304404 @default.
- W4386871570 creator A5064867292 @default.
- W4386871570 creator A5067924438 @default.
- W4386871570 date "2022-01-01" @default.
- W4386871570 modified "2023-09-27" @default.
- W4386871570 title "Artificial Intelligence in Human Resources Management: A Review and Research Agenda" @default.
- W4386871570 doi "https://doi.org/10.17705/1pais.14601" @default.
- W4386871570 hasPublicationYear "2022" @default.
- W4386871570 type Work @default.
- W4386871570 citedByCount "0" @default.
- W4386871570 crossrefType "journal-article" @default.
- W4386871570 hasAuthorship W4386871570A5007304404 @default.
- W4386871570 hasAuthorship W4386871570A5064867292 @default.
- W4386871570 hasAuthorship W4386871570A5067924438 @default.
- W4386871570 hasBestOaLocation W43868715701 @default.
- W4386871570 hasConcept C1007266 @default.
- W4386871570 hasConcept C105339364 @default.
- W4386871570 hasConcept C105409693 @default.
- W4386871570 hasConcept C107645774 @default.
- W4386871570 hasConcept C111919701 @default.
- W4386871570 hasConcept C127413603 @default.
- W4386871570 hasConcept C154945302 @default.
- W4386871570 hasConcept C162324750 @default.
- W4386871570 hasConcept C165672731 @default.
- W4386871570 hasConcept C176165272 @default.
- W4386871570 hasConcept C187736073 @default.
- W4386871570 hasConcept C202372285 @default.
- W4386871570 hasConcept C202444582 @default.
- W4386871570 hasConcept C33676613 @default.
- W4386871570 hasConcept C33923547 @default.
- W4386871570 hasConcept C41008148 @default.
- W4386871570 hasConcept C539667460 @default.
- W4386871570 hasConcept C56739046 @default.
- W4386871570 hasConcept C68001002 @default.
- W4386871570 hasConceptScore W4386871570C1007266 @default.
- W4386871570 hasConceptScore W4386871570C105339364 @default.
- W4386871570 hasConceptScore W4386871570C105409693 @default.
- W4386871570 hasConceptScore W4386871570C107645774 @default.
- W4386871570 hasConceptScore W4386871570C111919701 @default.
- W4386871570 hasConceptScore W4386871570C127413603 @default.
- W4386871570 hasConceptScore W4386871570C154945302 @default.
- W4386871570 hasConceptScore W4386871570C162324750 @default.
- W4386871570 hasConceptScore W4386871570C165672731 @default.
- W4386871570 hasConceptScore W4386871570C176165272 @default.
- W4386871570 hasConceptScore W4386871570C187736073 @default.
- W4386871570 hasConceptScore W4386871570C202372285 @default.
- W4386871570 hasConceptScore W4386871570C202444582 @default.
- W4386871570 hasConceptScore W4386871570C33676613 @default.
- W4386871570 hasConceptScore W4386871570C33923547 @default.
- W4386871570 hasConceptScore W4386871570C41008148 @default.
- W4386871570 hasConceptScore W4386871570C539667460 @default.
- W4386871570 hasConceptScore W4386871570C56739046 @default.
- W4386871570 hasConceptScore W4386871570C68001002 @default.
- W4386871570 hasLocation W43868715701 @default.
- W4386871570 hasOpenAccess W4386871570 @default.
- W4386871570 hasPrimaryLocation W43868715701 @default.
- W4386871570 hasRelatedWork W2024194827 @default.
- W4386871570 hasRelatedWork W2157300152 @default.
- W4386871570 hasRelatedWork W2365345842 @default.
- W4386871570 hasRelatedWork W2379909820 @default.
- W4386871570 hasRelatedWork W29269453 @default.
- W4386871570 hasRelatedWork W3089279421 @default.
- W4386871570 hasRelatedWork W574269634 @default.
- W4386871570 hasRelatedWork W577944579 @default.
- W4386871570 hasRelatedWork W1573894278 @default.
- W4386871570 hasRelatedWork W89951193 @default.
- W4386871570 hasVolume "14" @default.
- W4386871570 isParatext "false" @default.
- W4386871570 isRetracted "false" @default.
- W4386871570 workType "article" @default.