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Although business incubators are a widely recognized form of entrepreneurial support, this paper aims to challenge the assumption that incubation is necessarily beneficial for early-stage entrepreneurs, and considers cases where, due to variability in the motives and behaviours of entrepreneurs, incubation may be unwarranted or even undesireable.

This study presents a theoretically derived typology of incubated entrepreneurs, based on their entrepreneurial competence and capacity for learning, which asserts that incubation may be unwarranted or even undesireable for three of the four proposed entrepreneur types. Qualitative data from interviews with entrepreneurs and managing directors from 10 business incubators is used to illustrate the existence of these types.

The data provides evidence of entrepreneurial types whose incubation may be counterproductive to the goals and objectives of their host incubators.

Implications for incubator management (intake screening and ongoing monitoring of portfolio) are developed and aimed at improving the outcomes of business incubation for stakeholders.

The paper contributes to the incubation typology literature by challenging a widely held assumption that entrepreneurs have the potential to benefit from incubation and by reconceptualizing incubators as “crucibles” that perform a critical function in distinguishing high-potential entrepreneurs.

In order to address the gender divide in technology entrepreneurship, we explore how different national contexts impact policies and policy implementation. We investigate how transnational concerns (macro level) about women’s low participation in (technology) entrepreneurship are translated and implemented amongst actors at the meso level (technology incubators) and understood at the micro level (women tech entrepreneurs).

We adopt gender institutionalism as a theoretical lens to understand what happens in the implementation of gender equality goals in technology entrepreneurship policy. We apply Gains and Lowndes’ (2014) conceptual framework to investigate the gendered character and effects of institutional formation. Four countries represent different levels of gender equality: high (Norway and Sweden), medium (Ireland) and low (Israel). An initial policy document analysis provides the macro level understanding (Heilbrunn et al., 2020). At the meso level, managers of technology business incubators (n = 3–5) in each country were interviewed. At the micro level, 10 female technology entrepreneurs in each country were interviewed. We use an inductive research approach, combined with thematic analysis.

Policies differ across the four countries, ranging from women-centred approaches to gender mainstreaming. Macro level policies are interpreted and implemented in different ways amongst actors at the meso level, who tend to act in line with given national policies. Actors at the micro level often understand gender equality in ways that reflect their national policies. However, women in all four countries share similar struggles with work-life balance and gendered expectations in relation to family responsibilities.

The contribution of our paper is to (1) entrepreneurship theory by applying gendered institutionalism theory to (tech) entrepreneurship, and (2) our findings clearly show that the gendered context matters for policy implementation.

With practical entrepreneurship capabilities becoming ever more important for all university graduates, whether they are starting their own business or adding value to an organisation by innovating, improving, and problem-solving, what role do business incubators (BIs) play in helping to develop these capabilities for students? This chapter aims to better understand the role of BIs as extra-curricular entrepreneurship activity in universities through a narrative account of business incubation practice in three institutions – two in England and one in Australia. Utilising a practice-led methodology, the study is underpinned by social capital theory and a critical realist ontological perspective on incubation’s mechanisms, processes, and structures. Across these examples, there are common underpinning principles of entrepreneurial learning and socio-economic development. However, there are differences in implementation regarding space for incubation. Where the BI is on campus and closely integrated with extra-curricular entrepreneurship activity, this results in a cohesive graduate startup community and ongoing peer support. With no BI present, the opposite is observed. The chapter argues that without the infrastructure to build and maintain a community of nascent entrepreneurs to benefit from sustained peer learning, there can be negative impacts on the entrepreneurs and a visible gap affecting the entrepreneurial ecosystem. The chapter concludes with a practice note providing practical considerations for university BIs in communicating the significance of the incubator peer group to prospective entrepreneurs to improve realistic expectations and potentially improve their reach to entrepreneurs who may be experiencing isolation during their startup journey.

This research aimed to examine entrepreneurial fear of failure and entrepreneurial well-being from the perspectives of incubated and nonincubated startups during crises.

Data were collected by distributing online questionnaires to 152 respondents comprising 43 incubated and 109 nonincubated startups in Indonesia. A multivariate discriminant analysis procedure was used to examine the interrelationships between both groups at the discovery, validation, customer creation and construction stages.

The result showed a significant difference between these startups at various stages, which was analyzed to provide insights into the relevant dimensions of fear of failure for startups. The essence of entrepreneurial well-being during crises is in accordance with the role of business incubators in an emerging market economy.

Startups need to innovate in order to grow while considering other factors such as work-life balance and financial resource availability. This is important to ensure they have sufficient motivating dosage of fear of failure.

The present study evaluates incubated and nonincubated startups in an emerging market economy by using both the entrepreneurial fear of failure and well-being to capture possible differences between groups. The context of pandemic crises helps us formulate appropriate approaches taken by incubators and startups in the future crises.

The commercialization of research produced by universities constitutes a core facet of academic entrepreneurship (AE). Academic literature reveals the need to shed light on entrepreneurial processes in higher education institutions (HEIs). This study intends to fill this gap by researching the mechanisms for facilitating AE and the variables that can moderate the relationship between such mechanisms and AE in Portuguese HEIs.

Our research model aims to assess the mechanisms of academic entrepreneurship (AE) within a sample of 125 Portuguese public higher education institutions (HEIs). To test our research hypotheses, we employed a structural equation model (SEM) using the partial least squares (PLS) method. Additionally, our evaluation examines the potential moderating effects of incubator programs, support initiatives, and proof-of-concept programs (PoCs). Our research model seeks to evaluate the mechanisms for facilitating AE and explore the effects of including incubator programs, support initiatives, and PoCs as moderators. The seven variables (Research mobilization, Unconventionality, Industry collaboration, University policies, Incubator programs and support initiatives, Proof-of-concept programs, and academic entrepreneurship) were measured using a 7-point Likert scale.

The results revealed that different drivers of AE influence the creation and development of entrepreneurial activities. Our findings also show the moderating effects of incubator programs, support initiatives, and proof-of-concept programs on AE. We find that incubator programs, other support initiatives, and PoCs maintain a moderating effect on AE and benefit their respective HEIs.

The study examines only the Portuguese HEI context. Therefore, generalizing these results necessitates reservations. However, the responses came from various actors in HEIs, from different academic backgrounds and research interests. This makes the results more generalizable. Limitations are evident in external validity, given that we gathered the data over a relatively short period.

Observed factors are explored to gain a deeper understanding of their influence on the mechanisms of AE. The implications arise from the new perspective presented and the methodology used to identify mechanisms capable of fostering AE. We hope this research will encourage other researchers to study this topic further.

the engagement of universities at the global level should be emphasised in future policy. While universities in innovation systems often have a local focus, their engagement in innovation ecosystems transcends the boundaries of geographic locations.

PoCs had a significant positive moderating effect on the impact of research mobilization and university policies on AE. Thus, we find interactions between universities and industry boost AE. This study demonstrates how AE benefits HEIs by extending orientation towards mobilizing research, unconventional approaches, cooperation with industry, and university policy implementation. We thus advocate a new approach, demonstrating the influence that the mobility of research, unconventionality, industry collaboration, and university policies hold over AE.

The contemporary focus on extracurricular activities, here the educational incubator environment, accentuates a need to understand what we offer students in terms of the curricular and extracurricular learning environments when situated in the same higher education institution (HEI). Current research points towards breaking down the invisible barriers and silo thinking. In this conceptual study, we apply the Didaktik triangle as a theoretical and conceptual framing to make comparisons of structurally based conditions for curricular and extracurricular entrepreneurship education (EE). We present a framework that helps bridge the ‘what’, ‘why’, and ‘how’ questions in the two different learning spaces and, thereby, conjoin educators and consultants in possible pedagogical discussions on how they work with the students. The suggested bridge frames a wider ‘why’ and adds a more holistic and cohesive view of the two different types of settings. Our study contributes to the literature on how to bridge the blurred lines between curricular and extracurricular activities and break down the silos. The framework can act as an inspiration for entrepreneurship educators and practitioners who wish to provide more suitable and sustainable structures and develop a holistic learning environment.

This research aims at the theory of planned behavior (TPB) and the global entrepreneurship monitor (GEM) framework – How can cognitive traits for entrepreneurship be used by incubators and accelerators?

In this research the authors analyze the factors that catalyze the founding of new technology-based firms. From a practitioner stand-point, the GEM posits that these factors can be classified as contextual, social and individual factors. The present study focuses on the latter, looking into how demographic characteristics, possession of human capital and cognitive traits interrelate. The authors rely on a sample of 141 technological new ventures being incubated in Madrid, Spain, which is analyzed with the multilayer perceptron technique.

The results show that cognitive traits, as defined in the TPB, act as the “last mile” in the entrepreneurial decision process, while demographic and human capital factors appear to antecede them. These results are relevant for incubators and accelerators, which now gain a better, more complete understanding of success factors of their incubatees.

This research deals both with practitioners' view of entrepreneurship and with scientific literature, intertwining both with the purpose of providing valuable information for incubators and accelerators.

This study explores the enablers of students “entrepreneurial intentions by identifying the factors that raise students” interest in embracing an entrepreneurial career.

Entrepreneurship education is increasingly attracting attention as a means of fostering entrepreneurial activity and creating a culture of innovation. Developing students' entrepreneurial intentions is critical to promote entrepreneurship. This research is built on a mixed method approach of partial least squares structural equation modelling and fuzzy-set qualitative comparative analysis.

The factors that influence students ‘entrepreneurial intentions are identified: business incubation programmes, non-reimbursable grants for entrepreneurial students, networking events to promote entrepreneurship, mentoring services, innovation labs for business idea validation and entrepreneurship courses. This knowledge can help develop effective entrepreneurship education programmes. The study also provides actionable insights for educational institutions and policymakers. It underscores the need for innovative educational platforms such as entrepreneurial bootcamps. It also highlights the value of advanced learning environments such as decision theatres to foster a culture of entrepreneurship and innovation.

The study contributes to the body of knowledge on entrepreneurship education. It highlights the need for a multidisciplinary approach to understand the factors that shape students’ entrepreneurial intentions.

This research studies the development of the evolving dynamic system model and explores the important elements or factors and what detailed attributes are the main influences model in achieving the success of a business, industry and management. It also identifies the real and major differences between static and dynamic business management models and the detailed factors that influence them. Later, this research investigates the benefits/advantages and limitations/disadvantages of some research studies. The studies conducted in this research put more emphasis on the capabilities of system dynamics (SD) in modeling and the ability to measure, analyse and capture problems in business, industry, manufacturing etc.

The research presented in this work is a qualitative research based on a literature review. Publicly available research publications and reports have been used to create a research foundation, identify the research gaps and develop new analyses from the comparative studies. As the literature review progressed, the scope of the literature search was further narrowed down to the development of SD models. Often, references to certain selected literature have been examined to find other relevant literature. To do so, a supporting tool (that connects related articles) provided by Google Scholar, Scopus, and particular journals has been used.

The dynamic business and management model is very different from the static business model in complexity, formality, flexibility, capturing, relationships, advantages, innovation model, new goals, updated information, perspective and problem-solving abilities. The initial approach of a static system was applied in the canvas business model, but further developments can be continued with a dynamic system approach.

Based on this study, which shows that businesses are developing more towards digitalisation, wanting the ability to keep up with the era that is moving so fast and the desire to increase profits, an instrument is needed that can help describe the difficulties of the needs and developments of the future world. This instrument, or tool of SD, is also expected to assist in drawing future models and in building a business with complex variables that can be predicted from the beginning.

This study will contribute to the SD study for many business incubator research studies. Many practical in business incubator management to have a benefit how to achieve the business performance management (BPM) in SD review.

The significant differences between static and dynamics to be used for business research and strategic performance management. This comparative study analyses some SD models from many authors worldwide. Their goals behind their strategic business models and encounter for their respective progress.

Innovation management in the healthcare sector has undergone significant evolutions over the last decades. These evolutions have been investigated from a variety of perspectives: clusters, ecosystems of innovation, digital ecosystems and regional ecosystems, but the dynamics of networks have seldom been analyzed under the lenses of entrepreneurial ecosystems (EEs). As identified by Cao and Shi (2020), the literature is silent about the organization of resource allocation systems for network orchestration in EEs. This article investigates these elements in the healthcare sector. It discusses the strategic role played by entrepreneurial support organizations (ESOs) in resource allocation and elaborates on the distinction between sponsored and nonsponsored ESOs in EEs. ESOs are active in network orchestration. The literature explains that ESOs lift organizational, institutional and cultural barriers, and support entrepreneurs' access to cognitive and technological resources. However, allocation models are not yet discussed. Therefore, our research questions are as follows: What is the resource allocation model in healthcare-related EEs? What is the role played by sponsored and nonsponsored ESOs as regards resource allocation to support the emergence and development of EEs in the healthcare sector?

The article offers an explanatory, exploratory, and theory-building investigation. The research design offers an abductive research protocol and multi-level analysis of seven (sponsored and nonsponsored) ESOs active in French healthcare ecosystems. Field research elaborates on semi-structured interviews collected between 2016 and 2022.

This article shows explicit complementarities between top-down and bottom-up resource allocation approaches supported by ESOs in the healthcare sector. Despite explicit originalities in each approach, no network orchestration model prevails. Multi-polar coordination is the rule. Entrepreneurs' access to critical technological and cognitive resources is based on resource allocation modalities that differ for sponsored versus nonsponsored ESOs. Emerging from field research, this research also shows that sponsored and nonsponsored ESOs manage their roles in different ways because they confront original issues about organizational legitimacy.

Beyond the results listed above, the main originalities of the paper relate to the instantiation of multi-level analysis operated during field research and to the confrontation between sponsored versus nonsponsored ESOs in the domain of healthcare-related innovation management. This research shows that ESOs have practical relevance because they build original routes for resource allocation and network orchestration in EEs. Each ESO category (sponsored versus nonsponsored) provides original support for resource allocation. The ESO's legitimacy is inferred either from the sponsor or the services delivered to end-users. This research leads to propositions for future research and recommendations for practitioners: ESO managers, entrepreneurs, and policymakers.