Artículo

Human Resources Literature After Covid-19: A Human Versus AI Analysis

Resumen

In the post-Covid-19 era, identifying emerging trends in human resources management has become crucial for organizations seeking to adapt and thrive in the ever-changing landscape. Recognizing these trends enhances employee engagement, talent acquisition, and overall organizational effectiveness. One approach to unveil these trends is bibliometric analysis, which helps researchers identify influential topics and themes within the field by analyzing publication patterns, citation networks, and keyword co-occurrence. By evaluating bibliometric indicators such as citation counts and h-index, researchers can identify influential authors, institutions, and publications, fostering collaborations and knowledge-sharing opportunities. Additionally, this analysis reveals underexplored areas in literature, guiding the development of research agendas and addressing important unanswered questions in human resources. With the emergence of Artificial Intelligence (AI) tools such as Elicit, Iris, and Litmap, new possibilities arise to perform bibliometric analysis. Comparing the gains from AI-driven methods to traditional approaches, this research paper aims to understand their relative benefits in the context of human resource management after Covid-19. Although AI offers a wider range of data sources and more comprehensive insights, traditional methods still hold value, particularly when context-specific knowledge is vital. The choice between AI and traditional methods depends on research objectives, data availability, and the resources and expertise available to researchers. Ultimately, adopting emerging trends in human resources through effective bibliometric analysis can give organizations a competitive advantage, ensuring their ability to proactively adapt to the dynamic needs and expectations of their employees and achieve sustained success.
Avelar, Sónia (57340492800); Tiago, Flávio (36461770200); Couto, João Pedro (23018098700); Borges-Tiago, Teresa (58973945500)
Human Resources Literature After Covid-19: A Human Versus AI Analysis
2024
10.1007/978-3-031-51038-0_31
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196802281&doi=10.1007%2f978-3-031-51038-0_31&partnerID=40&md5=a82350b77d56a04928c242ce3b637011
School of Business and Economics, University of the Azores, Ponta Delgada, 9500-801, Portugal
All Open Access; Hybrid 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