Artículo

Mapping Thriving at Work as a Growing Concept: Review and Directions for Future Studies

Resumen

This study aims to provide a bibliometric analysis of the literature on thriving at work in psychology and business/management produced between 2001 and 2021, using the Web of Science (WoS) database. The analyses allowed us to identify, through 190 documents, the emergence of the concept of thriving at work and its development. The main research variables related to this concept and its methodology were identified. Likewise, the most influential authors, the most cited articles, the more frequently cited journals, and the countries contributing to developing this construct are analyzed. In addition, an analysis of co-citation, co-occurrences, and bibliographic coupling was conducted. Finally, content analysis of the most popular keywords and the co-citation of cited references are conducted. These analyses allow the identification of the main developments in the topic of thriving at work. The theoretical and practical implications of this bibliometric analysis are discussed.
Hidayat, Erwin Yudi (57205439013); Hastuti, Khafiizh (56485990500); Muda, Azah Kamilah (23390362900)
Artificial intelligence in digital image processing: A bibliometric analysis
2025
10.1016/j.iswa.2024.200466
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212984349&doi=10.1016%2fj.iswa.2024.200466&partnerID=40&md5=14c2a82f6cb46e9efa80c050fc79c24f
Faculty of Computer Science, Universitas Dian Nuswantoro, Semarang, 50131, Indonesia; Dinus Research Group for AI in Medical Science (DREAMS), Universitas Dian Nuswantoro, Semarang, 50131, Indonesia; Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Melaka, 76100, Malaysia
All Open Access; Gold Open Access
Scopus
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