Abstract
The purpose of this paper is to grasp the connection between entrepreneurial ecosystems and sustainable entrepreneurship and its relevance for tackling societal challenges. In particular, the work investigates if entrepreneurial ecosystems, through the lens of education and social context, simulate social entrepreneurial orientation. To accomplish the research goals, an empirical study is conducted relying on Global Entrepreneurship Monitor from 2015, where 58 countries are analyzed based on the Entrepreneurial Ecosystem Taxonomy. The results point that education and social context are supporters of social entrepreneurship, emphasizing on both institutional and social networks role. However, the findings reveal that social context tends to instigate more regular entrepreneurship when compared to social entrepreneurship, although being a driver in both cases. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Abstract
Purpose The entrepreneurial initiative is believed as being a prosperity engine. Islamic organizations are presently committed to promoting entrepreneurship to generate economic growth, provide job opportunities, reduce government centrality, enhance innovation and sustainable development. The purpose of this paper is to identify which factors affect Islamic entrepreneurial endeavors with particular emphasis on the role of gender. Additionally, how education, age, moral constraints, self-perception and social support will affect those entrepreneurial intentions based on Islamic principles. Once identified, policy actions will help to overcome extant gaps, reinforcing the entrepreneurial ecosystem. Design/methodology/approach Determinants of the entrepreneurial initiative will be appraised in the set Islamic countries present in the Global Entrepreneurship Monitor (GEM) data set from 2016. Following the Organization of Islamic Cooperation list, 14 countries were identified establishing a total sample of 36,407 individuals. Using a set of predictors included in the theoretical framework a statistical analysis was performed followed by logit estimations. The significance of explanatory variables such as gender, age and social context toward entrepreneurial propensity reinforced the importance of specific tools rather than broad policies. Findings An entrepreneurial propensity is affected by three branches of factors: individual characteristics, individual behavior and individual perceptions along with the economic environment. The analysis shows that holding equal conditions, Islamic women in the sample are less prone to start a business compared to their male counterparts. Knowing other entrepreneurial endeavors enhance the entrepreneurial initiative. Fearing failure unconstraint entrepreneurial projects, but the self-perception of skills strongly triggers these initiatives. Research limitations/implications The empirical analysis relates to the GEM database, and, as a consequence, only 14 countries were considered, but it covers 36,407 individuals whose representativeness cannot be statistically proved, however, due to sample dimension the robustness is granted. Second, the sample is sectional covering the 2016 year, as a consequence results may be classified as exceptional.Finally, other factors such as institutional and behavioral determinants were not considered, despite their theoretical importance, due to their absence in the database. Still, the empirical results reinforce the theoretical debate and offer robust evidence to build a policy package, adapted to the Islamic singularities. Practical implications Still, the empirical results reinforce the theoretical debate and offer robust evidence to build a policy package, adapted to the Islamic singularities. Originality/value The paper identifies gender differences in entrepreneurial propensity among Islamic economics. The potential enhancers of the entrepreneurial initiative are first put in theoretical terms followed by an empirical analysis, encompassing descriptive analysis and econometric estimations. The results allow identification of gender gaps, as well as other individual and context characteristics affecting entrepreneurial endeavors. Empirical evidence casts light on policymakers elaborating accurate policy packages fostering gender equality in entrepreneurship in Islamic economics, aiming to increase overall entrepreneurial activity and leveraging socio-economic development. Finally, the study addresses recommendations to overcome gender differences relating to entrepreneurial activity considering the singularities of the context.

Abstract
Gender issues are increasingly studied in entrepreneurship along with the debate about the centrality of resilience in both individuals and organizations. However, the analysis of entrepreneurial initiative based on genderized resilience is a novel insight. Prior studies point out that, against the odds, in more vulnerable environments, individuals tend to be more resilient and exhibit higher levels of entrepreneurial initiative. Considering previous studies and its remarks about the importance of self-efficacy, self-determination, self-regulation, and social environment to determine a resilient profile, this work bridges the existing theoretical contributions with empirical findings, using resilience and entrepreneurship as the ground research field. Empirical results evidence the role of resilience and opens the discussion around its importance through a genderized perspective along with its effect on the entrepreneurial initiative. The existence of a gendered connection between individual resilience and entrepreneurial initiative emerges as a relevant insight. These findings provide valuable information to policymakers and practitioners understanding and designing policy packages which better suit gender singularities. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Abstract
This study tackles the initiation of industry convergence to develop a patent-level framework aiming to anticipate convergence. Despite the vast amount of studies in the convergence literature, much remains to be understood about the dynamics of convergence, from the outset at the technology level to further development at the industry level. The evaluation of technical domain combinations facilitates the identification of industry convergence at early stages. This study analyzes patent data to measure the continuity in the combination of technical knowledge domains, which drives convergence. We also identified the patent indicators which promote the formation of the influential combinations that drive industry convergence. The present findings revealed that only a few unprecedented combinations in technical domains developed in future technologies, which implies the significance of distinguishing the combinations that may be expanding rapidly in subsequent years. The results also reported that the influential combinations need to be identifiable for future inventors, useful and practical for future technologies, and compatible with a variety of technical domains. This research provides insights for studies in innovation and technology management as well as implications for inventors, managers, and policymakers toward technology road-mapping.

Abstract
Research on incubation models indicates that incubators and accelerators are crucial catalysts for the development of start-ups. To facilitate start-ups in financial markets, several regulatory authorities have adopted a new incubation model called a ?regulatory sandbox?. Regulatory sandboxes enable eligible applicants to test their technology-enabled financial solutions for a certain period of time (subject to conditions the regulator imposes). As such, these instruments allow innovation while preventing severe instability in financial markets caused by systemic risk. Despite their importance, management research has devoted little attention to studying how sandboxes operate as a new incubation model. In our abductive study, we adopt the activity system framework and a qualitative analysis approach to investigate the activities of five leading sandboxes and compare them with the activities of other incubation models. The data analysis yielded an activity model with three design elements (achieving membership, participating and detaching) and one design theme (improving connectedness). Thus, sandboxes are characterized by providing regulatory guidance and facilitating access to testing across international jurisdictions, distinguishing them from both generic and specialized incubation models. Our primary contribution to the incubation literature is extending the knowledge of a unique incubation model through a set of theoretical propositions.

Abstract
The initial phase of the innovation process is widely accepted as an important driver of positive results for new products and for the success of businesses. The Front End of Innovation (FEI) is a multidisciplinary area that includes a variety of activities, such as ideation, opportunity identification and analysis, feasibility analysis, global trends analysis, concept definition, customer and competitor analysis, and even business model development. Due to the number and variety of FEI responsibilities, this phase entails a considerable level of complexity and decision making. This fact is reflected in the literature, where one finds a variety of FEI approaches and proposals, seldom overlapping and offering no clear consensual guidance. This work aimed at overcoming this gap by proposing an Ontology for the Front End of Innovation as a comprehensive knowledge representation of the FEI, the so-called Front End of Innovation Integrative Ontology (FEI2O). The ontology balanced the differences and addressed the shortcomings of the main FEI Reference Models and included contributions from the field. This research builds on a combination of qualitative and quantitative methodologies. It combines the qualitative methods of interviewing and focus group discussion to collect the views of domain experts, used to refine the artefact and later to evaluate the final ontology. Quantitative analysis of data was carried out using the Attribute Agreement approach. The FEI2O explicitly provides a description of a domain regarding concepts, properties and relations of concepts. The main benefit of the FEI2O is to provide a comprehensive formal reference model and a common vocabulary.