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While efforts at understanding how the entrepreneurial spirit is awakened (e.g., unwrapping the cognitive “black box”) have been productive in the new venture context, it remains largely unexplored in a corporate setting.This study extends previous research by investigating the relationship between organizational antecedents and perceptions of entrepreneurial self-efficacy and desirability of entrepreneurial activity. In a field study of organizations consistent with a corporate entrepreneurial archetype typology, we found that (1) individual work discretion and time availability impacted entrepreneurial self-efficacy, and (2) individual interest in work innovation influenced perceived desirability of innovative behaviors.

This study investigates the relationship between the strength of innovative entrepreneurial ecosystems and subjective well-being in 43 European smart cities. Subjective well-being is operationalized by a Quality of Life (QOL) survey that references the level of multidimensional satisfaction or happiness expressed by residents at the city level. The entrepreneurial ecosystem concept depicted here highlights actor interdependence that creates new value in a specific community by undertaking innovative entrepreneurial activities. The research uses objective and subjective variables to analyze the relationships between the entrepreneurial ecosystem and subjective well-being.

The authors conducted a cluster analysis with a nonaggregative quantitative approach based on the theory of the partially ordered set (poset); the objective was to find significant smart city level relationships between the entrepreneurial ecosystem and subjective well-being.

The strength of the entrepreneurial ecosystem is positively related to subjective well-being only in large cities. This result confirms a strong interdependency between the creation of innovative entrepreneurial activities and subjective well-being in large cities. The smart cities QOL dimensions showing higher correlations with the entrepreneurial ecosystem include urban welfare, economic well-being and environmental quality, such as information and communications technology (ICT) and mobility.

Despite the main implications being properly referred to large cities, the governments of smart cities should encourage and promote programs to improve citizens' subjective well-being and to create a conducive entrepreneurship environment.

This study is one of the few contributions focused on the relationship between the entrepreneurial smart city ecosystem and subjective well-being in the urban environment.

While extant literature has advanced our understanding of senior and middle managers in corporate entrepreneurship, studies have only recently attended to the role of non-managerial employees (NMEs). These organizational members bring ideas, resources and energy to the pursuit of innovative opportunities, yet the determinants of their entrepreneurial behavior are poorly understood.

The authors performed a systematical literature review on the subject of NMEs in corporate entrepreneurship to identify gaps and recommend an agenda for future research.

The review revealed gaps regarding (1) the distance of NMEs from decisions on corporate strategic intent, (2) agentic choices made by NMEs to use their subject matter expertise for their employers' benefit, and the influences of (3) job characteristics and (4) organizational infrastructural support of entrepreneurial behavior.

The authors present a theoretical framework and directions for future research.

A city is a spatial carrier of innovation activities. Improving the level of urban innovation can play a significant supporting role in building an innovative country. China began to implement the innovative city pilot policy in 2008 and continued to expand the policy into more areas for exploring the path of innovative urban development with Chinese characteristics and improving urban innovation.

Based on mechanism analysis, this paper used the panel data of 269 cities from 2003 to 2016 to empirically test the effect of the pilot policy on the level of urban innovation by using different methods, such as the difference-in-differences model.

The results show that the innovative city pilot policy significantly improves the level of urban innovation. However, according to the findings of the heterogeneity analysis, the effect of the pilot policy on improving the innovation level in direct-controlled municipalities, provincial capitals and sub-provincial cities is weaker than that in ordinary cities, and the effect of the pilot policy on improving the innovation level in cities with a higher quality of science and education resources is weaker than that in cities with lower quality of science and education resources.

Moreover, as the level of urban innovation increases, the effect of the pilot policy on improving the level of urban innovation is an asymmetric inverted V shape, which means the effect is first strengthened and then weakened. The research also finds that the locational heterogeneity of the pilot policy for improving the level of urban innovation is not notable. In addition, the innovative city pilot policy can strengthen the government's strategic guidance, promote the concentration of talent, incentivize corporate investment and optimize the innovation environment, having a positive impact on urban innovation. Moreover, the effect of concentration of talent and the effect of corporate investment incentive are the important reasons for the pilot policy to promote the improvement of the level of urban innovation.

This research aims to shed new lights on the most shared constructs developed on Innovation Ecosystems, Entrepreneurial Ecosystems and Technology Transfer Ecosystem proposing an additional stand-alone ecosystem.

This research is built upon a qual-quantitative analysis of an empirical case. The latter analysis is performed through a single case study methodology on the San Giovanni Hub of the Federico II University of Naples.

Evidences show how a technological hub orchestrates three main ecosystems for the knowledge exploitation: the technology transfer ecosystem, devoted to gather knowledge form universities' labs towards industries; the innovation ecosystem, able to manage the exploration and exploitation of new knowledge and techniques; the entrepreneurial ecosystem, that supports startup/spinoff creation process.

Limitations mainly concern the fact that it is centred on just one case study.

Practical implications imply new opportunities of collaboration involving different stakeholders as university administrators, researchers, businesses and policymakers, creating a supportive environment for innovation.

The research offers a new vision about the role of Universities as creators and enablers of ecosystems pursuing diverse value propositions. The Academic Innovation Ecosystem is a new conceptualization of this role played by a university, and it can convey innovation and entrepreneurial attitude within its ecosystem leveraging on the transfer of university knowledge and technology.

The importance of sustainable development has become increasingly significant in today’s fast-paced world. The 17 sustainable development goals (SDGs) aim to solve a range of environmental, economic and social challenges, which requires global collaboration among governments and private organisations. In light of this, social entrepreneurship has garnered significant attention as it combines the social purpose of non-profits with the market-driven approach of for-profits to address SDG goals. Yet the cognitive processes underpinning the career decisions of social entrepreneurs remain underexplored. This study aims to develop and validate a scale to measure social entrepreneurial career decisions based on the appraisal of perceived challenges.

The study followed the steps of tool development and was carried out in three phases: item analysis, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA).

The final 20-item scale focuses on the appraisal components in pre-entry social entrepreneurial career decision-making and has four factors, which are relevance, coping potential, knowledge and resources and normative significance.

The study contributes to the literature on entrepreneurial cognition, specifically focusing on social entrepreneurship. The scale could guide model testing and quantitative research in social entrepreneurial cognition. The four-dimensional structure identified in the study may also have implications for researchers interested in the antecedents and effects of social entrepreneurial decision-making.

Accurate measurement of cognitive appraisal is necessary to understand the perceived challenges and thought processes of potential social entrepreneurs. The scale could be used to examine the cognitive appraisal patterns among students. Social entrepreneurship educators and policymakers can use the scale to design and assess educational programs.

Distinct from existing studies, this scale offers a multidimensional approach that captures the stages of career decision-making, providing a robust tool to enhance our understanding of the decision-making dynamics in social entrepreneurship.

The purpose of this paper is to discuss the need for universities to develop an entrepreneurial culture and assess higher education practitioners’ opinions of the culture of the university they are working in.

The research provides empirical data collected through a survey instrument originally used for a PhD research study; however, this paper focuses on the question set related to culture, which was based on the organisational culture model presented by Quinn in 1988.

The findings indicate that a number of respondents reported from a heterogeneous population of higher education institutes predominantly responded they were working within a hierarchy cultural type with many reporting a market cultural type. While respondents from a homogeneous group from a single university reported in the main they were working in a market-driven cultural type with the next main category being a clan culture.

The study population reported in the main that there is predominantly a market culture in UK universities. However, this research has focussed entirely on respondents working within the UK HE sector, thus, has ignored potential differences that could be present within the global HE emerging markets.

The paper strengthens understanding of the critical importance of innovation and entrepreneurship in universities. Students, scholars, HE policy makers and HE practitioners can gather a range of insights pointed at university culture and rest assured in the main they are market focussed.

This study examines the nexus between entrepreneurship through small–medium enterprise (SME) business formation and the growth of the Nigerian economy. Furthermore, this paper seeks to explore the link between small enterprise development and econo.

The paper focused on secondary data for the period 1990–2016 for macro parameters including, registered small and medium scale enterprise, nominal gross domestic product, employment, total labor force and population. Forecasting technique was applied to obtain data for missing trends. Quantitative analytical techniques used include the dynamic method of the error correction model (ECM) and Johansen co-integration test for a long-run correlation.

The result shows an increasing number of SME formation which has also led to the growth of the economy. However, an increase in the amount of micro-small and medium scale enterprises did not contribute to the development of the economy more than existing businesses. The employment elasticity is positive and significant and shows that the contribution of entrepreneurship regarding employment is the most essential factor that advances economic growth and reduction of unemployment.

The paper examines how the persistent increase in small and medium enterprise formation improves the growth and development of the Nigerian economy, employing the ECM approach.