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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.

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.

This study aims to explore the influence of innovation in entrepreneurial activities and job creation, examine the influence of innovation in entrepreneurial activities on jobs creation and investigate the moderating influence of entrepreneurial characteristics between entrepreneurial activity, innovation and job creation.

The data was collected from Oman Global Entrepreneurship Monitor data 2020. Sample of 2,000 individuals was involved in entrepreneurial activities. SPSS and PLS software were used to test the structural model and research hypothesis.

The results revealed that innovation affects the level of created jobs. Entrepreneurial activity has a significant influence on innovation, jobs created and an indirect effect on jobs created through the mediating influence of innovation. All direct and indirect relationships of entrepreneurial activity and innovation with the expected jobs are insignificant. The findings demonstrate that demographics moderate the relationship between entrepreneurial activity and innovation.

The study outcomes will be useful for policymakers to understand the innovation types in entrepreneurial activities and whether these enterprises can create future jobs.

The findings will help entrepreneurial ecosystems and managers to strengthen their business ventures using innovative business models.

This research will provide decision-makers with mechanism on how better business environment will benefit stakeholders.

While this topic is widely investigated in developed countries, little is known about the impact of innovation on entrepreneurial activities in creating jobs in developing countries. This research contributes to entrepreneurship innovation and institutional theory literature by understanding the role of the entrepreneurship conditions framework that support the jobs creation.

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.

This study aims to identify necessary conditions for innovative entrepreneurship in cities and determine similarities in entrepreneurial configurations among them.

The authors assessed the necessary conditions for various levels of entrepreneurial output and categorized cities based on similar patterns by applying necessary condition analysis (NCA) and cluster analysis in a sample comprised of 101 cities from the entrepreneurial cities index, representing a diverse range of urban environments in Brazil. A comprehensive data set, including both traditional indicators from official Bureau of statistics and nontraditional indicators from new platforms of science, technology and innovation intelligence, was compiled for analysis.

Bureaucratic complexity, urban conditions, transport infrastructure, economic development, access to financial capital, secondary education, entrepreneurial intention, support organizations and innovation inputs were identified as necessary for innovative entrepreneurship. Varying levels of these conditions were found to be required for different entrepreneurial outputs.

The static nature of the data limits understanding of dynamic interactions among dimensions and their impact on entrepreneurial city performance.

Policymakers can use the findings to craft tailored support policies, leveraging the relationship between city-level taxonomy and direct outputs of innovative entrepreneurial ecosystems (EEs).

The taxonomy and nontraditional indicators sheds light on the broader societal benefits of vibrant EEs, emphasizing their role in driving socioeconomic development.

The cluster analysis combined with NCA’s bottleneck analysis is an original endeavor which made it possible to identify performance benchmarks for Brazilian cities, according to common characteristics, as well as the required levels of each condition by each city group to achieve innovative entrepreneurial outputs.

Taking entrepreneurial opportunity identification activity as a starting point, the purpose of this paper is to provide insight into the differences within the social background of the Chinese nascent entrepreneurs and to illuminate differences in the success of their economic activities.

This study will analyze the impact of the nascent entrepreneurs' social class identity and prior experience affiliation on entrepreneurial opportunity identification and the moderation effect of opportunity identification modes. The empirical study was conducted with the data from the “Chinese Panel Study of Entrepreneurial Dynamics (CPSED)” project, especially targeting new technology venture samples.

The findings indicate that the social class identity and prior experience affiliation of nascent entrepreneurs (pre‐determined factors) have a significant impact on the innovativeness of their entrepreneurial identification. Because they determine opportunity identification results, these pre‐determined factors play a much more important role than the mode of the opportunity identification.

The findings provide a theoretical contribution to the transitional study with the unique data of the CPSED project. This study could be taken as the comparison for transnational cooperation and provides suggestions to government and entrepreneurship supporting agencies.

The purpose of this paper is to clarify the relationship between entrepreneurial cognition and innovative entrepreneurial activity (IEA) across countries using an institutional perspective.

The paper tests theoretical model using data collected by the Global Entrepreneurship Monitor, the Global Leadership and Organizational Behavior Effectiveness study and the Index of Economic Freedom (IEF). A multi-level analysis is performed based on set of 1,004,620 observations from 49 countries spanning 13 years (2001–2013).

The results suggest that in terms of formal regulations; the relationship between entrepreneurial cognitions and IEA becomes stronger when there is an increase in intellectual property right and business freedom regulations in a country. On the other hand, in terms of informal institutions the relationship between entrepreneurial cognitions and IEA becomes stronger when the level of institutional collectivism and uncertainty decreases and performance orientation increases.

The study indicates that entrepreneurship by innovation increases when the individuals possess high level of entrepreneurial cognition under suitable institutional conditions (e.g. intellectual property right, business freedom, institutional collectivism, uncertainty avoidance and performance orientation).

What shapes entrepreneurs’ intention to allocate entrepreneurial effort towards different types of entrepreneurial start-ups? Grounded in a “national business systems” approach, the purpose of this paper is to examine the impacts of institutional dimensions on Schumpeterian and Kirznerian entrepreneurship.

Drawing upon a global context comprising 82 countries over the period between 2007 and 2018, this research applies a dynamic panel modelling approach, namely, the dynamic panel generalised method of moments estimator. This estimator allows to account for unobserved country-specific heterogeneity and to address endogeneity constraints that might occur between institutions and entrepreneurship.

The findings reveal that there are positive relationships between financial capital and both Schumpeterian and Kirznerian entrepreneurship. Educational capital positively affects the allocation of entrepreneurial efforts towards opportunity-based entrepreneurial activities. Moreover, institutional regulatory conditions could hinder the allocation of entrepreneurs’ resources into a Schumpeterian while facilitating the allocation of resources into a Kirznerian type of venture. Finally, a higher level of corruption promotes innovative entrepreneurial activities (i.e. a Schumpeterian type of venture) and leads to constraints on Kirznerian entrepreneurship.

The research findings demonstrate the significance of the macro environment for enacting and implementing policies to reap the benefits of different types of start-ups. It suggests different political actions are needed to motivate highly qualified individuals to engage in Schumpeterian and Kirznerian entrepreneurship, rather than focusing purely on enhancing a country’s overall start-up rates.

By acknowledging the multidimensional nature of entrepreneurship, this research provides greater theoretical exposition and empirical support for the role played by macro-level institutions in determining types of entrepreneurship. It reveals the important role played by macro institutional conditions in influencing choices about different types of start-ups and gives rise to the multidimensional nature of entrepreneurship.

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.