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The impacts of institutions on entrepreneurship and innovation, as well as the effects of technological development, have been subject to various research studies. While this theme inherently remains a focus for political decision-makers, there is very little knowledge on the combined role of institutions, entrepreneurial orientations and innovation capabilities on the technological development of countries. In this study, we examine the impacts of entrepreneurial orientation and the innovative capacity of countries through considering the moderating effect of technological development.

The data used in this study has been collected from various sources, including the World Economic Forum United Nations (UN), World Bank (WB), Organization for Economic Cooperation and Development (OECD), World Intellectual Property Organization (WIPO), National Consortium for the Study of Terrorism and Responses to Terrorism (START) and Scimago. The study focuses on 86 countries that are either at stage 2 or stage 3 of development or in the transition from stage 2 to stage 3.

We have found that corporate governance, property rights and security institutions have a positive influence on a country’s entrepreneurial mindset and its ability to innovate. Additionally, we have noted that technological advancements also play a role in moderating this relationship. These findings have important implications for the theory, practice and public policies in this area.

This study emphasizes the substantial impact of institutional quality on the entrepreneurial mindset and innovation capabilities of businesses. It shows that perceiving institutions as more stable can have a positive effect on both entrepreneurial orientation and innovative capabilities, ultimately improving companies' competitiveness.

This study aims to find the key drivers of green innovation in family firms by examining firm characteristics and geographical factors. It seeks to develop a conceptual framework that explains how internal resources and external environments influence environmental innovation practices in these businesses.

Using machine learning (ML) methods, this study develops a predictive model for green innovation in family firms, drawing on data from 3,289 family businesses across 27 EU Member States and 12 additional countries. The study integrates the Resource-Based View (RBV) and Location Theory to analyze the impact of firm-level resources and geographical contexts on green innovation outcomes.

The results show that both firm-specific resources, such as size, digital capabilities, years of operation and geographical factors, like country location, significantly influence the likelihood of family firms engaging in environmental innovation. Larger, technologically advanced firms are more likely to adopt sustainable practices, and geographic location is crucial due to different regulatory environments and market conditions.

The findings reinforce the RBV by showing the importance of firm-specific resources in driving green innovation and extend Location Theory by emphasizing the role of geographic factors. The study enriches the theoretical understanding of family businesses by showing how noneconomic goals, such as socioemotional wealth and legacy preservation, influence environmental innovation strategies.

Family firms can leverage these findings to enhance their green innovation efforts by investing in technology, fostering sustainability and recognizing the impact of geographic factors. Aligning innovation strategies with both economic and noneconomic goals can help family businesses improve market positioning, comply with regulations and maintain a strong family legacy.

This research contributes a new perspective by integrating the RBV and Location Theory to explore green innovation in family firms, highlighting the interplay between internal resources and external environments. It also shows the effectiveness of machine learning methods in predicting environmental innovation, providing deeper insights than traditional statistical techniques.

This study aims to analyze the entrepreneurial intention (EI) manifested by potential entrepreneurs for LGBT (lesbian, gay, bisexual, and transgender) and traditional markets, thereby tracing a comparative EI for both markets. The intention is to understand the vision of potential future entrepreneurs related to markets focused on the LGBT public (i.e. if entrepreneurs perceive this market as an option for future business).

Using a quantitative research design, data were collected from a sample of 157 students in Brazil and analyzed by applying structural equation modeling.

This study primarily identified a difference between EI when comparing the focus on LGBT and traditional markets. Results show that the impact of personal attitude is significantly higher on EI for general markets (all markets) than for markets focused on LGBT audiences. Furthermore, the impact on entrepreneurship for traditional markets is generally significantly lower than for the LGBT market.

The study explored the EI for LGBT markets, which has not been studied extensively. It aims to gain a better understanding of various aspects that may influence the decision-making and perceptions of potential future entrepreneurs. Furthermore, the study compares traditional and LGBT audiences, providing valuable insights for potential future entrepreneurs in both scenarios. This comparison is a unique contribution to the literature and contributes to important analyses and debates.

The literature identifies the need to understand better the role of universities’ entrepreneurial orientation (EO), even while this remains an unexplored field. This study seeks to overcome this shortcoming and put forward empirical evidence on the EO of universities and it examines the moderating effects of networks, knowledge and trust, market orientation, and implementing sustainable development goals (SDGs) on the design and development of entrepreneurial universities.

To test the conceptual model, the authors used a sample of 125 questionnaires obtained from Portuguese higher education institutions, and it was deployed a structural equation model by a partial least squared as the estimation method.

The results show that the different dimensions of EO significantly influence the design and development of entrepreneurial universities. Furthermore, our findings show how market orientation and SDGs have moderating effects on the development of university entrepreneurship.

As for practical implications, the results point to the influence EO holds over entrepreneurial universities, and this causal relationship undergoes moderation by networks, knowledge and trust, market orientation and SDGs. As such, HEI rectors, deans and directors need to leverage these moderating effects, fostering human capital and universities’ active initiatives and policies to conceive and develop more entrepreneurial universities.

Our research model seeks to contribute to advancing studies on the EO of universities and assists in better understanding EO within the scope of influence of the third university mission as entrepreneurial institutions.