The purpose of this article is to identify the connection between entrepreneurial education and the development of entrepreneurship and to reexamine the importance of education in an intention of starting a business venture. In the process of education skills, culture and attitudes on particular subjects are established. Entrepreneurial education especially enables the combination of experimental learning, skills development and, the most important thing, the change in the way of thinking of individuals. Researches have shown that entrepreneurship can be learned because education can help to achieve and increase the awareness and acceptance of entrepreneurship as a valuable career option. Entrepreneurial education is strategically directed towards establishing an entrepreneurial venture. Conducted meta-analysis shows that there is a positive link between entrepreneurial education and entrepreneurial intentions which confirms the success of the current entrepreneurial education programmes and the importance of further enhancing and developing those programmes.
PurposeThis study responds to calls by researchers to examine the relation between innovation and entrepreneurial ecosystems more closely, and also to further broaden our understanding of regional intellectual capital formation.Design/methodology/approachA cross-sectional analysis was conducted on NUTS 2 regions of the selected EU countries. In the empirical part of the research, multiple linear regression approaches were carried out using secondary data.FindingsIn sampled regions, the entrepreneurial ecosystem positively affects levels of high growth firms and levels of regional innovation capital.Practical implicationsResults lend further support to policymakers to develop and implement a regional-specific policy for fostering entrepreneurial ecosystems. However, given the multiple output nature of entrepreneurial ecosystems, this issue becomes more complicated than ever before.Originality/valueThis study builds upon previous research and complements it by widening the range of effects that the entrepreneurial ecosystem has. In doing so, this study is the first to examine the concurrent effects of these ecosystems on levels of high growth firms and innovation capital while using a regional innovation capital outlook.
Despite the massive volume of published articles, the pool of knowledge on entrepreneurial teams needs to be algorithmically classified and meticulously scrutinised. It is crucial for the field to be historically positioned under relevant themes, internally connected in terms of conceptual foundations, and systematically categorised in consonance with previously utilised frameworks of analysis. These concerns are resolved in this study by conducting a bibliometric analysis of 672 relevant articles. This form of analysis has not been previously employed on the topic of entrepreneurial teams. First, this study identifies eight main thematic clusters in the entrepreneurial teams field and their sub-themes. The eight main thematic clusters are: (i) Intellectual Capital, (ii) Cognition and Behaviour, (iii) Science and Technology, (iv) Finance, (v) Transformation, (vi) Internationalisation, (vii) Family, and (viii) Community and Surroundings. Second, the study reveals the clusters most needing restoration, relations between clusters, and input-mediator-output variables by their respective cluster. In addition, an implied scholarly depiction of entrepreneurial teams is articulated, which can serve as a basis for developing an entrepreneurial teams theory. Finally, promising avenues for future research are suggested for the entire field and every cluster specifically.
Banks face a number of business risks on a daily basis. Today, operational risk is dominant. The aim of this paper is to develop a decision-making system when choosing a method of operational risk management by using the Analytical Hierarchy Process (the AHP method) and the Fuzzy Analytic Hierarchy Process (the FAHP method). Analytical hierarchical process is a simple efficient process in solving decision-making problems. The final decision depends on the assessment of a set of alternatives and the decision criteria. The main purpose of the process is to find appropriate solutions for defined user factors in the current competitive environment. The results obtained by the classical AHP method, as well as the FAHP method, show that external factors are the dominant criterion, especially during the financial crisis or the Covid19 pandemic, and that solutions should be sought in international standards, using control tools created by the banks themselves.
Background: Many studies on entrepreneurship indicate an affirmative entrepreneurial orientation (EO) and small firm performance interrelationship. However, the empirical results are inconclusive, especially when firms face certain contingencies. Objectives: Strategic networking and environmental dynamism are important to SMEs’ performance; therefore, the goal of this study is to apply a configurational approach for developing a model that promotes the roles of strategic networking and environmental dynamism as moderating variables in the EO-performance relationship. Methods/Approach: For determining which model fits the data best, a moderated linear regression analysis was used as an analytical method to test the proposed hypotheses. Specifically, configurational, contingency and universal models were examined. Results: Results reveal that a configurational model provides a statistically better explanation of variance in performance compared to both contingency and universal models. Conclusions: By adding strategic networking to the EO-performance relationship, our study helps explain why some firms, although restrained with internal resources, can still achieve entrepreneurial projects since required resources can be acquired from external network partners. Limitations of this study encompass the sample size, the use of a subjective scale, questioning of only one representative of the firm, and the short-term aspect of the study.
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