Gender Differences in Intellectual Capital Research: An Exploratory Study
The study aims to explore whether gender differences in the intellectual capital research exist. The differences are mainly investigated with reference to authorship patterns, research loyalty, productivity, trends of authorship patterns and productivity, research methodologies and research topic relevance. The investigation is carried out through an exploratory research approach. Consistent with it, data are mainly analyzed through descriptive statistics and tests of difference. The investigation takes into consideration the papers published in the Journal of Intellectual Capital from 2007 to 2016 (ten years). The total number of papers used is 340. The Journal of Intellectual Capital was chosen because it can be considered one of the leading journal of the intellectual capital research. Data used for the investigation are collected, in part, from the Scopus database and, in part, by reading the papers. The author gender was attributed manually, on the base of the author’ name. Main findings show that differences do not exist with reference to collaboration propensity and magnitude, research loyalty, average research productivity, research methodologies and research topic relevance. On the contrary, they show that a difference exists with reference to international collaboration propensity.
KeywordsGender differences Intellectual capital research Academic publishing
- ETAN Expert Working Group on Women and Science. (2000). Science policy in the European union. Promoting excellence through mainstreaming gender equality. Brussels: European Commission. Directorate—General for Research. http://www.cordis.lu/improving/women/documents.htm.
- Lotka, A. J. (1926). The frequency distribution of scientific productivity. Journal of the Washington Academy of Sciences, 16(12), 317–323.Google Scholar
- Lowry, P. B., Karuga, G. G., & Richardson, V. J. (2007). Assessing leading institutions, faculty, and articles in premier information systems research journals. Communications of the Association for Information Systems, 20, 142–203.Google Scholar
- Newby, G. B., Greenberg, J., & Jones, P. (2003). Open source software development and Lotka’s law: Bibliometric patterns in programming. Journal of the Association for Information Science and Technology, 54(2), 169–178.Google Scholar
- The Helsinki Group on Women and Science. (2002). National policies on women and science in Europe. Brussels: European Commission. Directorate—General for Research. http://www.cordis.lu/improving/women/policies.htm.