ABSTRACT. Innovation, as well as scientific research, is not a gender-neutral activity. There are few research results available concerning women's and men's contribution to the process of innovation at the national, regional and enterprise levels. Examining the current situation in this area of research, is the first and necessary step towards better understanding of women's and men's potential in the process of innovation. It is also a chance to point out a new source of synergies taking place in this process. The main objective of this article is to present the results of research addressing gender approach to the process of innovation. The first part of the article presents newly created integrated genome, dedicated to conduct the multidimensional research on women and men participation in the process of innovation, examining their traits, attitudes, behaviours and competencies. This design allows us to grasp the commonalities and differences between women and men roles in the process of innovation. The second part of article presents results of the pilot survey. Respondents of this survey were research personnel from Polish innovative enterprises. There are certain differences and similarities in what women and men perceive as important in the process of innovation. Skilful use of these attitudes in mixed research teams may become a new source of progress in the process of innovation.
ABSTRACT. The growing importance of gender studies in many disciplines is recently presented in the literature. However, there is no research on gender as the extraordinary source of innovation development. Specifically, patent activity is among the important elements determining the involvement of men and women in the innovation process. The article presents the results of studies focused on the patent inventors' role, both women and men, in development activities of entities belonging to the business enterprise sector. The research objectives were: 1) to capture the statistical picture of inventive activity taking gender into account, and 2) to identify the directions and dynamics of change with regard to the proportion of inventors in the EU member states. The main results shows the increasing role of women rather than man as the inventors of patents in the business enterprise sector of the leading EU countries in a long term.
List of figures xi List of tables xiii Author biographies xv). (a) Scenario I, (b) scenario V, and (c) scenario IX * , k P * , y R * and y P * in the several variants relative to Variant I (Variant I = 100) 6.10 Ratios of average estimated k R * , k P * , y R * and y P * in the several variants relative to Variant I, assuming that either economy invests 10% of its savings in the other economy (Variant I = 100) 6.11 Selected numerical simulation results in Variant A (ω = 20%) 6.12 Selected numerical simulation results in Variant B (ω = 40%) 6.13 Selected numerical simulation results in Variant C (ω = 50%) 6.14 Selected simulation results in Variant D (ω = 60%) 6.15 Selected simulation results in Variant E (ω = 80%) 6.16. Selected results of numerical simulations in Variant F (s R = 25% and s P = 15%) 6.17 Selected results of numerical simulations in Variant F (s R = 15% and s P = 25%) 6.18 Ratios of average estimated k R * , k P * , y R * and y P * in the several variants relative to Variant I (Variant I = 100) 8.1 Simulations of labour productivity at standard (S), logistic (L) and post-Malthusian (PM) trajectories of the number of workers and at δ = 0.07, n = 0.01, α ≈ 0.68261 and m = e 9.1 Simulation of labour productivity at ω = 3 Tables xiv Tables 9.2 Simulation of labour productivity at ω = 5 9.3 Simulation of labour productivity at ω = 10 9.4 Simulation of labour productivity at ω = 25 9.5 Simulation of labour productivity at ω = 50 10.1 Scenarios of epidemic development 10.2 Epidemiological indicators in consecutive scenarios 10.3 Economic indicators in consecutive scenarios at K1/K * = 0.4 (a poorly developed economy) 10.4 Economic indicators in consecutive scenarios at K1/K * = 0.9 (a strongly developed economy)Author Biographies Paweł Dykas is an Associate Professor at the Department of Mathematical Economics of the Jagiellonian University in Krakow (Poland) and is also the author and co-author of over 50 academic publications such as The Neoclassical Model of Economic Growth and Its Ability to Account for Demographic Forecasts (2018), Demographic Forecasts and Volatility of Investment Rates vs. Labour Productivity Trajectories (2019) and An Impact of the Variable Technological Progress Rate on the Trajectory of Labour Productivity (2020). Recently, he has co-edited and contributed to The Socioeconomic Impact of COVID-19 on Eastern European Countries (Routledge, 2022). His main interests include the mathematical theory of economic growth, an analysis of the spatial diversity of economic development and an analysis of regional differences in the labour market. Tomasz Tokarski is Full Professor of Economics at the Department of Mathematical Economics of the Jagiellonian University in Krakow (Poland) and is also the author and co-author of over 200 academic publications such as Wybrane Modele Podażowych Czynników Wzrostu Gospodarczego (Selected Supply Models of Economic Growth) (2005), Ekonomia Matematyczna Modele Mikroekonomiczne (Microeconomic models of Mathematical Economics) (2011), Ekonomia Matematycz...
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