Sociocultural Factors as Determinants of Female Entrepreneurs’ Business Strategies

Institutional theory has been a popular theoretical foundation for exploring a wide variety of topics in different domains, ranging from institutional economics and political science to organisation theory (Powell and DiMaggio, 1991). It is widely accepted that for entrepreneurship to emerge within a culture, first entrepreneurs must be granted social acceptance so that their activities are accepted as legitimate and socially beneficial. Second, entrepreneurs must also be able to gain access to the financial, material and educational resources necessary to initiate new ventures. Condition one requires that the entrepreneurial role be validated by a set of cultural values that recognise the legitimacy of the entrepreneurship; condition two requires social institutions and procedures that provide potential entrepreneurs access to necessary resources (Abzari & Safari, 2014)

Artificial Intuition for Automated Decision-Making

Automated decision-making techniques play a crucial role in data science, AI, and general machine learning. However, such techniques need to balance accuracy with computational complexity, as their solution requirements are likely to need exhaustive analysis of the potentially numerous events combinations, which constitute the corresponding scenarios. Intuition is an essential tool in the identification of solutions to problems. More specifically, it can be used to identify, combine and discover knowledge in a “parallel” manner, and therefore more efficiently. As a consequence, the embedding of artificial intuition within data science is likely to provide novel ways to identify and process information. There is extensive research on this topic mainly based on qualitative approaches. However, due to the complexity of this field, limited quantitative models and implementations are available. In this article, the authors have extended the evaluation to include a real-world, multi-disciplinary area in order to provide a more comprehensive assessment. The results demonstrate the value of artificial intuition, when embedded in decision-making and information extraction models and frameworks. In fact, the output produced by the approach discussed in their article was compared with a similar task carried out by a group of experts in the field. This demonstrates comparable results further showing the potential of this framework, as well as artificial intuition as a tool for decision-making and information extraction

New Horizons and Global Perspectives in Female Entrepreneurship Research

Enhancing and encouraging female entrepreneurship research and participation, New Horizons and Global Perspectives in Female Entrepreneurship Research is innovative contribution to business and enterpris