Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/74348
Título: | Exploring the determinants of scientific productivity: a proposed typology of researchers | Autores/as: | Ballesteros Rodríguez, José Luis De Saa Pérez, Petra García Carbonell, Natalia Martín Alcázar, Fernando Sánchez Gardey, Gonzalo |
Clasificación UNESCO: | 531104 Organización de recursos humanos | Palabras clave: | Academic Researchers Human Capital Motivation Scientific Productivity Typology, et al. |
Fecha de publicación: | 2022 | Proyectos: | Dirección y Gestión del Capital Intelectual en los Grupos Académicos de Investigación: El Efecto de los Campus de Excelencia Internacional en su Generación, Acumulación y Aprovechamiento (ECO2014-56580-R) | Publicación seriada: | Journal of Intellectual Capital | Resumen: | Although several previous studies were focused on examining the determinants of research productivity, the knowledge of the competences and motives that lead researchers to achieve relevant scientific performance remains unclear. This paper is aimed at contributing to this gap in the research by proposing a typology to understand academic researchers' traits and extending the traditional “more is better” approach, which assumes that higher levels of competence and motivation are always preferable. Design/methodology/approach: Cluster analysis was applied to a sample of 471 Spanish academics to examine diverse combinations of human capital attributes – knowledge, skills, and abilities – and two sources of motivation – intrinsic and extrinsic. Findings: Four researcher profiles were identified: (1) high vocational academics; (2) motivated academics; (3) self-starter academics and (4) reactive academics. Based on these preliminary findings, we present conclusions about the functioning and productivity of academic researchers. Originality/value: This paper contributes a novel typology of researchers to the extant literature based on the variables of academic human capital and motivation. The findings indicate that a required and specific combination of attributes better fits the reality of research activities. | URI: | http://hdl.handle.net/10553/74348 | ISSN: | 1469-1930 | DOI: | 10.1108/JIC-07-2019-0178 | Fuente: | Journal of Intellectual Capital [ISSN 1469-1930], v. 23(2), p. 195-221 |
Colección: | Artículos |
Citas SCOPUSTM
11
actualizado el 15-dic-2024
Citas de WEB OF SCIENCETM
Citations
14
actualizado el 15-dic-2024
Visitas
187
actualizado el 24-feb-2024
Google ScholarTM
Verifica
Altmetric
Comparte
Exporta metadatos
Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.