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- Impact of Innovation & Technology in InternationalizationPublication . Pereira, José; Braga, Vitor; Correia, Aldina
- Female Entrepreneurship: A Grouped Division of Europe and Central AsiaPublication . Machado, Diana; Correia, Aldina; Braga, VitorThe constant changes in sociocultural conditions in the global market and the tremendous growth in the number of women's companies culminates in the growing interest in research on female entrepreneurship (Brush, 1992; Moreira et al., 2019). The main objective of this study is to contribute to a better understanding of how the economies of Europe and Central Asia group in terms of female entrepreneurship. The research was based on a quantitative analysis of data from companies belonging to 35 countries in Europe and Central Asia, using a multivariate technique, namely Cluster Analysis. This study has as an implication a better understanding of how the economies of Europe and Central Asia are distributed in terms of female entrepreneurship. The results of the study suggest that the economies of Europe and Central Asia can be divided into two groups and the difference between the two clusters can be justified by the role of women in the countries concerned.
- Diana Machado, Aldina Correia and Vítor Braga Women's Entrepreneurship and InternationalizationPublication . Machado, Diana; Correia, Aldina; Braga, Vitor
- Relationship between Innovation & Technology and Internationalization: Cluster Analysis in Europe and Central AsiaPublication . José, Pereira; Correia, Aldina; Braga, VitorBusiness competition is increasingly based on innovation (Freeman & Soete, 2007) and the literature on innovation suggests that technological and organizational innovation individually boosts the company's performance (Damanpour & Aravind, 2012), including international performance (Donbesuur et al., 2020). In this sense, this study aims to analyze how companies in Europe and Central Asia group in clusters according to the relationship between Innovation & Technology and the Internationalization of companies. To achieve the proposed objective, the statistical cluster analysis technique was applied, using SPSS, to a sample of 30 economies in Europe and Central Asia extracted from The World Bank – Enterprise Surveys database. The results of the study suggest that the economies with the greatest Innovation & Technology are also the economies with the greatest Internationalization. This study presents as an implication a better understanding of the relationship between Innovation & Technology and Internationalization in terms of clusters.