Artículo

Impact of AI-focussed technologies on social and technical competencies for HR managers – A systematic review and research agenda

Resumen

Research on the application of Artificial Intelligence (AI)-based technologies in the HRM domain has attracted significant scholarly attention. Yet, few studies have consolidated key trends in adopting AI for HRM, especially on managerial competencies required for adopting AI-based technologies and identifying the key research directions for HR managers, including the development of an AI-focused competency framework for HR managers. A systematic literature review (SLR) and bibliometrics analysis were conducted to identify the current research direction for managers adopting AI in HRM. Several themes of managerial capabilities required for adopting AI in HRM were identified, utilizing the Dynamic Capabilities View (DCV). The SLR identified applications of various AI tools and techniques in HR functions, recruitment and selection was one with the broadest use of AI applications. Managerial cognitive capability, managerial human capital, and managerial social capital of DCV were considered the initial coding categories under which various managerial competencies are required for the adoption of AI in HRM. This study utilized SLR, Bibliometric, and directed content analysis as three distinct but interrelated sets of methodologies for extracting novel insights into the adoption of AI for HRM. It highlights the associated managerial capabilities that need mapping for its adoption.
Farias, Miriam Leite (57220120696); Alcoforado, Daniela Gomes (57219166657); Patriota, Verônyca Kezya Santos Sousa (57226809061); Palha, Armando Perez (57226815268); de Souza-Leão, André Luiz Maranhão (55337966500)
Qualitative research in marketing: Overview of the Brazilian scientific production from 2010 to 2019
2021
10.5585/REMARK.V20I3.16603
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112740906&doi=10.5585%2fREMARK.V20I3.16603&partnerID=40&md5=73a94c0f1af4b927cbabea86a79be751
All Open Access; Gold Open Access
Scopus
Artículo obtenido de:
Scopus
Fuente
0 0 votos
Califica el artículo
Subscribirse
Notificación de
Campus Samborondón
Vía Samborondón Km. 13.5
Call Center: 5150400
metricas@ecotec.edu.ec
Facebook Instagram Youtube

Mapa del sitio