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Can I read Artificial Intelligence in Human Resources Management: A Review and Research Agenda on EtoBox?
Artificial Intelligence in Human Resources Management: A Review and Research Agenda by Daniel Gélinas; Concordia University; Arman Sadreddin; Rustam Vahidov; Concordia University; Concordia University is a Business, Management and Accounting article available to read on EtoBox.
What is Artificial Intelligence in Human Resources Management: A Review and Research Agenda about?
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
Who reads Artificial Intelligence in Human Resources Management: A Review and Research Agenda?
It is typically read by researchers, students, and practitioners in Business, Management and Accounting.
- Author
- Daniel Gélinas; Concordia University; Arman Sadreddin; Rustam Vahidov; Concordia University; Concordia University
- Publisher
- Association for Information Systems
- Published
- 2022
- Language
- EN
- Field
- Business, Management and Accounting (Social Sciences)