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This study investigates the personal factors influencing innovative entrepreneurship combined with additional contextual insights from high-income European countries. Specifically, this study has three main objectives: (i) to measure differences in the level of entrepreneurial innovativeness activity among high-income European regions; (ii) to uncover key factors leading to appropriate levels of entrepreneurial innovativeness and (iii) to suggest policies that may enhance the regional level of entrepreneurial innovation.

A sample of 4,430 nascent and new entrepreneurs from 16 different high-income European countries drawn from the Global Entrepreneurship Monitor (GEM) Adult Population Survey (APS) was used in conjunction with macroeconomic indicators. Data were analyzed using a logistic regression analysis.

There are significant differences in the conditions that influence entrepreneurial innovativeness in European regions. These variations in entrepreneurial activity can be explained using contextual factors and individual characteristics. Although technological novelty increases the probability of innovative entrepreneurship, the technology effect is significantly greater in Western Europe than other regions across Europe.

This study illustrates how a contextualized view of entrepreneurship enriches the knowledge of the human and dynamic socioeconomic drivers that motivate innovative entrepreneurial action in high-income European countries.

The purpose of this paper is to improve understanding of how different aspects of the national institutional environment may influence the extent of innovative entrepreneurial activities across countries. Several institutional and conductive factors affecting a country’s capacity to support innovative entrepreneurship are explored.

Institutional theory is used to examine the national regulatory, normative, cognitive and conducive aspects that measure a country’s ability to support innovative entrepreneurship. A cross-national institutional profile is constructed to validate an entrepreneurial innovation model. The impacts of country-level national institutions on innovative entrepreneurial activity as measured by Global Entrepreneurship Monitor data are assessed through structural equation modeling.

Knowledge about the influence of specific institutional aspects on innovative entrepreneurship, and hence of institutional structures within and across countries, is enhanced. For new innovative enterprises, conductive and regulatory aspects seem to matter most. All conductive factors have a significant and positive impact on entrepreneurial activity rates.

Results could support policy makers and practitioners in evaluating government policies’ effects on innovative entrepreneurship. Interventions should target both individual attributes and context. Future research could include longitudinal designs to measure the direction of causality.

Aspects such as regulatory institutions, and conductive factors such as information communication technology use and technology adoption, are important for innovation entrepreneurship development.

The literature on institutional theory and innovative entrepreneurship is highly limited. This study complements growing interest in empirical analysis of the effects of national institutions on innovative entrepreneurial activities and substantiates previous empirical work.

The purpose of this paper is to examine the direct and interaction effect of individuals’ human capital input and human capital output in the form of entrepreneurial self-confidence on the decision to exploit innovative opportunities.

Using a strategic entrepreneurship perspective, the authors suggest that when individuals with high human capital decide to exploit opportunities they do so by thinking and acting strategically. Strategic action(s) involves pursuing competitive advantages that enable a new venture to get a foothold in the market. The authors argue that such competitive advantages arise from the exploitation of innovative opportunities and individuals with high human capital are more likely to exploit innovative opportunities when they develop entrepreneurial self-confidence. The empirical analysis is based on a random sample of individuals from the adult population who are in the process of creating a new venture.

The results suggest that although human capital inputs and human capital output in the form of entrepreneurial self-confidence are significant factors in influencing the decision to exploit innovative opportunities, human capital inputs interact in different ways with human capital output in influencing this decision.

The main limitation of the authors’ study is the use of single item measures as indicators of innovative opportunity and human capital output (entrepreneurial self-confidence).

From a macro-perspective, the main implication of the study is that it is possible to assess the quality of entrepreneurship in an economy through individuals’ human capital and the proportion of innovative opportunities in the economy. Moreover, because not all types of human capital inputs influences the exploitation of innovative opportunities, policy makers can be selective in their policy interventions in spawning quality entrepreneurship in their economy.

Based on population-level data the authors’ study provides empirical evidence of the nature of entrepreneurial decisions being at the earliest phases of the entrepreneurial process. The study shows the importance of founders’ human capital inputs and outputs in influencing the quality of entrepreneurship in an economy. Moreover, the study extends the understanding the individual-opportunity nexus in promoting innovative entrepreneurship in an economy.

After presenting a brief review of the Schumpeterian and Kirznerian views on entrepreneurship, the purpose of this paper is aims to measure the two views within the economic and institutional contexts of emerging economies.

Configurations of innovative entrepreneurship, opportunity entrepreneurship and contextual variables were assessed using cluster analysis on 16 emerging countries.

Four profiles were found: innovative entrepreneurship of the Schumpeter Mark I type, innovative entrepreneurship of the Schumpeter Mark II type, opportunity entrepreneurship of the Kirznerian form and a fourth cluster described as a potentially emerging Schumpeter Mark II profile. The economic and governance indicators were favorable in the two innovative entrepreneurship clusters, whereas the contextual indicators of innovation were particularly favorable in the Schumpeter Mark II group.

The study demonstrated the importance of aligning theory, methods and context in comparative entrepreneurship research. Profiling countries on theory-based entrepreneurial dimensions appears as a viable approach. However, the results also pointed to the need for more attention to the dynamic aspects of country entrepreneurial activity. Another limitation lies in the low number of emerging countries for which complete comparable data are available.

For policy makers, it may be interesting to examine our results showing that the economic and governance correlates are more favorable in the two innovative clusters.

The study is one of the few recent attempts to clarify the relationship between entrepreneurship and innovation in the context of emerging economies.

Entrepreneurship education at universities aims to create entrepreneurial thinking and spread the culture of entrepreneurial awareness, skills and attitudes to students to stimulate their entrepreneurship intentions as graduates. This study investigates the impact of entrepreneurship education on innovative start-up intention as well as the mediating role of entrepreneurial mind-sets of university students.

Structural equation modeling (SEM) was used for analysis with (n = 204) valid questionnaires collected from university students.

The main findings show that entrepreneurial mind-sets mediate the relationship between entrepreneurship education and innovative start-up intention.

This study contributes to the body of knowledge by its application in a higher educational institution and enriches the literature with new evidence that entrepreneurship education could enhance innovative start-up intention.

The purpose of this paper is to explore the influence of social and business context of developing counties (in this paper Iran) on developing, forming and exhibiting entrepreneurial innovative behaviour leading to entrepreneurship. The developed model illustrates the most important factors in forming such behaviour.

In this paper, networked grounded theory was used to develop a path model for entrepreneurial innovative behaviour antecedents based on Iranian entrepreneurial context.

This paper shows that in Iranian entrepreneurship context, innovation is sensitive to local conditions and levels of technological capabilities. Also, Iran’s situation brings another aspect of innovation in mind, innovative behaviour of individuals in forms of entrepreneurships to compensate the lack of technology in the firms.

Due to the research approach and the quality of grounded theory, data gathering tool and sampling process, the generalizability of this paper is limited or may be context oriented; the results of this research must be interpreted within its limitation and scope.

This paper is the first study trying to develop a model on entrepreneurial innovative behaviour in Iran which develops a model based on the realities of Iran rather than model based on developed countries with different basis and context.

This paper aims to examine the role of organizational innovative capabilities (OIC) on the relationship between knowledge sharing (KS), corporate entrepreneurship (CE) and firm performance (FP). Specifically, this study uses the knowledge-based view to develop a model that examines the mentioned relationship.

Using survey data from 520 participants across 75 service sector companies in Thailand, measurement and structure models are tested through structural equation modeling to quantify the impact between constructs.

This study shows that KS and CE positively affect OIC and FP. A positive relationship is also found between KS and CE. The mediating impact of OIC strengthens the relationship between KS and CE on FP.

Like all research using survey methods, the research is prone to respondent biases and generalizability. However, this paper has put the best effort to minimize such effects by rigorous methodological testing to avoid such biases.

The findings of this study suggest that to improve organizational learning and knowledge-based performance, commitment and understanding of the employees in the entire organization is crucial. KS significantly contributes to developing innovative abilities because of its characteristics of providing firm-specific and socially complex advantages. The way a firm transforms and exploits its knowledge may ascertain its level of innovativeness, such as coming up with certain problem-solving procedures and new product development according to the rapid change in the market demand. However, organizations may only instigate to effectively organize knowledge when their employees are ready to share knowledge. Continuous KS boosts entrepreneurial practices and contributes innovativeness across individuals, groups, units or the entire organization.

The relationship between CE, organization innovative capabilities and FP in the presence of KS is rarely discussed in both theoretical and empirical literature. This study contributes to the literature by arguing that apart from the direct impact of KS on FP, KS can lead the firms toward generating important competitive advantage by forming innovative capabilities that can significantly influence FP.

The purpose of this paper is to explain the implications of different entrepreneurial orientations on business start‐up and development challenges.

This research reflects surveys of 1,075 experienced entrepreneurs and business and entrepreneurship students in Estonia during the years 2005‐2010. An additional method is action learning and reflections of training focused on recognising new business opportunities during the economic crises.

Combinations of co‐creative and innovative entrepreneurial orientations are more popular than the imitative entrepreneurial orientation. There is, however, an essential contradiction between stressing the principles of co‐creative orientation at the first stages of business opportunity identification and taking a more individualistic approach to innovation at later stages of the business development process and implementing the related changes. Potential entrepreneurs developing radically new innovative ideas in emerging economies should assess more realistically their existing core competences and search for opportunities to improve their competence base through cross‐border networking.

Surveys that apply the self‐assessment tool do not comprise a representative sample of all Estonian entrepreneurs. These surveys have been conducted in training settings and support self‐development of trainees. Research results can be used for differentiating entrepreneurship training and education. An important opportunity for entrepreneurship education in the context of organisational change is to support the cross‐border exchange of entrepreneurial ideas between “blue ocean dreamers”, who sometimes lack entrepreneurship experience, and more experienced entrepreneurs, who may be trapped in some regionally‐limited business in a highly competitive domestic market.

The results of the research explain why entrepreneurship training has to take into consideration differences between imitative, individually innovative and co‐creative entrepreneurs.

The paper aims to contributes on the debates about University Idea Incubation by investigating the role and the engagement of different University's stakeholders in the process of opportunity recognition in an entrepreneurship education program targeted at students with an interdisciplinary background.

Through a longitudinal case study methodology, the Contamination Lab at University of Salento (Lecce, Italy), the learning approaches and the knowledge process to create an entrepreneurial awareness, mindset and capability in students with different educational background are presented.

The findings demonstrates the crucial role of stakeholders' engagement for business idea presentation, open innovation challenge, contamination workshop on specialized topics, enterprise projects are important vehicle for effective students' business ideas and innovative projects development in a multidisciplinary environment. The close interaction among students, academia, companies and institutions creates a favourable environment that enables opportunity identification, idea generation through a deep contamination of knowledge, skills and experiences.

Limitations include the need to generalise the results even if this limitation is typical of the case study methodology. Other research is necessary for an in-depth analysis in deep of the other Contamination Lab in Italy and to derive the “invariance traits” of this environment according to the features of the local entrepreneurial ecosystems.

Implications for practices include recommendations for designing innovative programs where the interactions between University-Institutions-Industry are realized.

A conceptual framework is proposed by defining all the entrepreneurial knowledge process and knowledge creation within the Contamination Lab, highlighting the contribution of the stakeholders in each phase and learning initiative of the program.

Based on institutional theory, this study aims to analyze the influencing mechanisms of the institutional environment in the digital context on technology entrepreneurship.

Using data from the Global Entrepreneurship Monitor, World Bank and World Economic Forum, this study builds a multilevel database covering 79 countries and 97,146 individuals from 2013 to 2017. A mixed-effects logistic regression model with the fixed part and random part was chosen to test the hypotheses in this study. The mixed-effects logistic regression model used in this study includes a random intercept with random effects at the country level, while the robustness test considers a more complex two-level model with a random intercept plus random slope.

The findings indicate that different dimensions of the institutional environment in the digital context have different effects on individual technology entrepreneurship. The analysis shows that exposure to digital networks and innovative culture positively influences technology entrepreneurship. However, intellectual property rights protection has a negative impact on technology entrepreneurship. Furthermore, the government digitalization has different effects on above relationships. When a government digitalization is higher, there will be a weaker positive relationship between exposure to digital networks and technology entrepreneurship. When a government digitalization is higher, there will be a stronger positive relationship between innovative culture and technology entrepreneurship. When a government digitalization is higher, there will be a weaker negative relationship between Intellectual property rights protection and technology entrepreneurship. Finally, the effect of innovative culture on technology entrepreneurship in the digital context is stronger for females than for males.

The aforementioned findings contribute to a better understanding of the theoretical logic underlying digital factors affecting the institutional environment and technology entrepreneurship and act as a reference for the country in terms of raising its scientific and technological levels and promoting economic structure transformation in the digital era.