This paper aimed at establishing a Corporate Entrepreneurship diagnosis model within public R&D institutions. We based our analysis on empirical identification of a generalized set of organizational factors, perceived as intrapreneurship vectors. The quantitative research targeted 50 experienced public entities and was based on validating one of the most popular psychometric instruments in the entrepreneurial literature: the Corporate Entrepreneurship Assessment Instrument (CEAI)-originally intended for the North American economic environment. As recent literature questioned the cross-cultural portability of psychometric instruments, this study intended to validate the five-factor intrinsic structure of CEAI. The five factors deduced by our statistical analysis were: support for opportunity investigations and reinforcement; dynamic environment and recognition; decreased formalization; knowledge sharing; time availability and strategic awareness. Next, the factor scores were used as input variables for a logistic regression procedure, with the output variable being the intrapreneurial value of the respondents' institutions. Two factors contribute considerably to the predicted intrapreneurial value: support for opportunity investigations and reinforcement and decreased formalization. The validity of the whole approach is supported by the relevance of the original CEAI questionnaire, able to reveal intrapreneurial characteristics, and by the prediction power of the logistic regression model over the intrapreneurial propensity of public institutions.
Romanian education system faces structural failures due to increased labour market instability and the proliferation of austere economic policies in adjusting the value of GDP. Open competition on the labour market, both in the EU and countries outside the European Union also stresses the need to adapt the education system to meet current and future needs of society by contributing to the development of information technology research and eco-awareness. The education system in Romania will have to take into account the need to give people the skills and abilities needed to adapt quickly to a changing labour market.
Keywords: High education system, study programs, macro economical indicators, linear trend, labour market.
The chapter is structured in two parts: the first part presents the agricultural policy of the European Union in accordance with the Treaty of Lisbon and the Europe 2020 Strategy. At the same time, the National Rural Development Program of Romania is presented. In the second part of the chapter an econometric analysis of the agricultural sector is made. The linear multifactorial regression model presented in the second part of the chapter was based on data provided by Eurostat: surface cultivated with pesticides, GDP/capita, net investment in agriculture. The model proposed in this chapter explains and highlights the existence of a positive, linear, and significant relationship between the variables included in the model. The multiple linear regression model indicates that, with the increase of one million euros per GDP, the value of the surface cultivated with pesticides in Romania will grow by an average of 132.08 hectares.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.