The effects of gender, age and academic rank on research diversification
- 404 Downloads
In this work we analyze the combined effects of gender, age and academic rank on the propensity of individual scholars to diversify their scientific activity. The aspect of research diversification is measured along three main dimensions, namely its extent and intensity and the cognitive relatedness of the fields of diversification. We apply two regression models to the dataset of scientific output of all Italian professors in the sciences over the period 2004–2008. The aim is to understand how personal and organizational traits can influence individual behaviors in terms of research diversification. Among other considerations, our findings urge caution in identifying research diversification as a co-determinant of the gender productivity gap between males and females.
KeywordsBibliometrics Specialization Relatedness Italy
- Abbott, A. D. (2001). Chaos of disciplines. Chicago: University of Chicago Press.Google Scholar
- Abramo, G., & D’Angelo, C.A. (2017). Gender differences in research diversification behavior. In 16th international society of scientometrics and informetrics conference—(ISSI—2017). Wuhan, China, 16–20 October 2017.Google Scholar
- Bayer, A. E., & Dutton, J. E. (1977). Career age and research-professional activities of academic scientists: Tests of alternative nonlinear models and some implication for higher education faculty policies. The Journal of Higher Education, 48(3), 259–282.Google Scholar
- Cole, J. R., & Zuckerman, H. (1984). The productivity puzzle: Persistence and change in patterns of publication of men and women scientists. In P. Maehr & M. W. Steinkmap (Eds.), Advances in motivation and achievement (pp. 217–258). Greenwich: JAI Press.Google Scholar
- Costas, R., van Leeuwen Thed, N., & Bordons, M. (2010). A bibliometric classificatory approach for the study and assessment of research performance at individual level: The effect of age on productivity and impact. Journal of the American Society for Information Science and Technology, 61(8), 1564–1581.Google Scholar
- Turner, L., & Mairesse, J. (2005). Individual productivity differences in public research: How important are non-individual determinants? An econometric study of French physicists’ publications and citations (1986–1997). Working paper. http://www.jourdan.ens.fr/piketty/fichiers/semina/lunch/Turner2005.pdf. Last Accessed 4 Sept 2017.