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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 investigates the nature of regulatory-focused effectuation (as the basis of entrepreneurial behavior) in absorptive capacity development for open innovation implementation, the role of crowds or communities management practices in the effectuation-based open innovation process, and open innovation performance as the output of the open innovation process in digital multi-sided platform (MSP) startups context.

In order to verify the hypothesis, the researcher conducts a quantitative study that is based on a self-administered questionnaire and employs the PLS-SEM approach. The sample comprises of 70 Indonesian digital MSP businesses that have been operational for at least three years and have used open innovation approaches with their audiences, communities or complementors.

The research findings imply that there is a connection between promotion-focused effectuation and the open innovation process. This connection is particularly strong when it comes to the incorporation of absorptive capacity and crowds or communities management practices. On the other hand, prevention-focused effectuation shows insignificant effect toward open innovation process in digital MSP startups context.

The research findings imply that with limited resources and experiences, young entrepreneurs can still implement open innovation strategy for their digital MSP platform through effectuation principles that leverage the external resources from digital platform ecosystem members.

In digital MSP startups context that perform promotion-based effectuation principles, innovation performance can be achieved by analyzing new insight, transforming the existing activities with the new insight, creating new offering afterward, as well as strengthening crowds or communities management practices through co-creation activities with platform ecosystem members that may lead into new business model.

The originality of this work is to make a contribution to the literature on strategic entrepreneurship by describing the phenomena of the paradox of resource-based theory; adopting open innovation strategy under constrained initial resources and capabilities scenario.

This research aims to explore people management (PM) dimensions in Nepalese recycling startups (R-startups).

It follows a case study and qualitative research approach. Information is collected from Internet searches and R-startups’ blogs. For research purposes, 12 cases out of 30 R-startups are selected using convenient and purposeful non-probability sampling methods.

Three major findings are as follows: (1) the founders of R-startups have become more environmentally aware and motivated to source materials, manufacture products and deliver them without harming the environment; (2) the founders are establishing work-flow to create future employment opportunities and (3) the PM dimensions in R-startups appear to be sustainable and apparently linked with Sustainable Development Goal (SDG) 12.5, which aims to reduce waste generation substantially through prevention, reduction, recycling and reuse.

Since researchers use widely accessible internet information, there is no possibility of interfering with the website's text and data. The analysis is solely based on the opinions of founders/co-founders of R-startups.

This research presents PM dimensions in R-startups and contributes to the literature in this new field of study. Although on a small scale, this research can provide a basis for minimizing circulatory gaps and closing the loop through circular business (CB). It also provides insights into managing waste in order to create opportunities and wealth.

This is one of the few unexplored areas of academic research. The critical PM dimensions investigated in this study can serve as a baseline for future theoretical development in the context of a specific country.

Established companies often engage with startups as a way to improve their innovation performance. While there has been extensive discussion on the reasons, modes, and expected outcomes of these initiatives, there is still a need to understand more about how corporate engagements with startups (CEwS) evolve and how they can enhance a company’s innovation capability. This study proposes a framework of engagement strategies, discussing their purposes and implications to understand the subject better.

This study involved managers from twelve large, established companies across various sectors. The authors used a multicase approach to analyze their experiences and offer a framework for corporate-startup engagement.

The framework for corporate-startup engagement consists of four main strategies: (1) innovative improvement, (2) R&D expansion, (3) more value to corporate venture capital and (4) ecosystem articulation. The authors found that ecosystem articulation, which combines the potentials of the other three strategies, is the most sophisticated approach.

This study offers a systematic view of the CEwS phenomenon, identifying the various modes of engagement, the reasons for adopting each one and potential ways to advance and improve them. For managers, the study reveals the CEwS as a lever to build innovation capabilities over time.

The purpose of this research study is to empirically investigate the Figma prototyping technology adoption factors among entrepreneurship and innovation libraries for providing support to startups by developing and evolving the prototype solutions in collaboration with health libraries.

This study uses the technology adoption model (TAM) as a framework and the partial least squares structural equation modeling (PLS-SEM) method of structural equation modeling (SEM) using SmartPLS 3.2.9 software version to investigate the prototyping adoption factors among entrepreneurship and innovation libraries for rural health innovations. A total of 40 libraries, spread over 16 entrepreneurship and innovation libraries, participated in this survey, including participants from Europe (35%), Asia (15%) and USA (50%).

The findings show that previous experience, social impact, brand image and system quality have a significant positive impact on entrepreneurship and innovation libraries' perceived usefulness (PU) of prototyping technology. Perceived ease of use of prototype technology is positively influenced by usability, training materials and documentation, experience and self-efficacy. Together, perceived usefulness and perceived ease of use have a significant influence on behavioural intention. Behavioural intention is positively impacted by minimal investment and shallow learning curve. Technology adoption is furthered by behavioural intention. The control variables, for instance location, gender and work experience (as librarian), were found not having any impact on Figma technology adoption.

Through strategic partnerships with other libraries (including health libraries), policymakers, and technology providers, the adoption of prototype technology can be further accelerated. The important ramifications for policymakers, technology providers, public and entrepreneurship and innovation libraries to create a self-reliant innovation ecosystem to foster rural health innovation based on entrepreneurship are also listed in the article.

This research is distinctive since it integrates several areas of study, including entre, advances in rural healthcare and libraries. A novel idea that hasn't been thoroughly investigated is the collaboration between entrepreneurship and innovation libraries and health libraries for supporting businesses. This study offers insights into the factors that drive technology adoption and offers practical advice for policymakers and technology providers. It also advances understanding of the adoption of Figma prototyping technology among libraries for rural health innovation. Overall, this study provides a novel viewpoint on the nexus between different disciplines, showing the opportunity for cooperation and innovation in favour of rural health.

To understand how narratives used by entrepreneurial support organizations (ESOs) in Detroit's growing entrepreneurial ecosystem shape transitional entrepreneurs' social reality. We offer theoretical and practical insights to elicit critical support, formulate policies and programs and guide ongoing empirical examination of transitional entrepreneurship.

We adopt a multi-case study approach, looking at two ESOs in Detroit: one focused on promoting high-growth entrepreneurship and securing financial capital for technology entrepreneurs, the other focused on promoting everyday entrepreneurship (especially among underserved communities) and amassing a more diverse array of resources. We conduct a thematic analysis of organizational texts and interview data with ESO leaders.

ESO narratives shape Detroit's transitional entrepreneurs by constructing entrepreneurs' social identity, orienting them to the ecosystem and envisioning a collective future in which transitional entrepreneurs are key.

This study offers insight into the definition of transitional entrepreneurs by extending existing conceptions by highlighting the role of institutional actors, like ESOs, and the narratives they adopt in shaping opportunities and challenges for transitional entrepreneurs. Moreover, we push the boundaries of transitional entrepreneurship, including technology start-up entrepreneurs in the definition and call attention to the role of transitional entrepreneurs in post-industrial cities by showcasing their role in community and urban development.

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 role of incubators in promoting startup growth has received close research attention, but the findings paint a conflicting picture. This study aims to reduce the ambiguity surrounding incubator impact by exploring how incubators can support startups with business model innovations – a significant growth factor for startups neglected in the incubation literature.

Using a multiple-case study design, the authors conducted semistructured interviews with incubator directors and startup founders, offering insights into their experiences. The transcripts were coded following the Gioia method.

This study shows that incubatees are exposed to and struggle with business model innovation. Therefore, this study explores how incubators can support startups in innovating their business models.

This research reveals the importance of addressing the psychological needs of entrepreneurs in incubators. By offering emotional support, incubators can create a positive psychological environment, helping entrepreneurs face fears and challenges. This highlights the human side of entrepreneurship, which has not been considered in the incubation literature.

Incubator directors can strengthen their programmes’ impact by offering tailored support for business model innovation and facilitating network connections. Policymakers should encourage ecosystem collaboration and allocate resources to effective programmes.

This research fills a gap in the incubation literature by emphasizing the significance and need for support for business model innovation. This study also offers original insights into the psychological dimensions of entrepreneurship.

Innovation in technology is nothing new. However, a strong surge of inventions centered on digital apps and platforms has emerged over the past decade and has come to be associated with the tech sectors. The purpose of this research is to know whether deep-tech can be unlocked in startups for their long-term success.

Papers and websites that included the term deep-tech startups were considered for this study.

The authors have seen no explanation why India cannot develop several global deep-tech firms in the coming five years, similar to what China did in the previous 10 years, if Indian deep-tech entrepreneurs receive solid support from domestic industry giants, supportive regulatory changes and prompt access to finance. The authors think that the epidemic has made conditions for this to pick up speed that is highly favorable.

This research is limited to a few numbers of papers and websites.

Due to the unanticipated disruption, the pandemic caused, clever robotics and hands-free technology were urgently needed. The development of smart, self-monitoring, simple, tailored and potential on-the-go improvement solutions are the talk of the day. Deep-tech solutions have the ability to provide limitless benefits in a variety of fields to the world's 1.3 billion inhabitants.

This research will help startups to know more about deep-tech and implement them to be the first-mover advantage in this competitive and turbulent environment.

The novelty of this research is based on its presentation of an organized and thorough evaluation, which defines the current state of the art with regard to deep-tech startups. Not many studies have been performed in the area of deep-tech startups. In order to create a sustainable startup, a thorough study on how deep-tech can be unlocked in startups and its opportunities, challenges and funding is presented.

This research aims to identify the key factors affecting Outbound Open Innovation between Startups and Big organizations using the multiple criteria decision-making analysis (MCDM) approach. The MCDM technique ranks the four key factors identified from the literature study that can help to improve collaboration opportunities with Startups.

Identification of key factors affecting Outbound Open Innovation between Startups and big organizations based on extant literature. A questionnaire is prepared based on these four identified key factors to gather views of the startup's employees, from the designer level to the startup's founder. MCDM techniques are used to evaluate the questionnaire. The ensemble technique is used to rank the key factors coming from three different MCDM methods.

The findings from the MCDM approach and Ensemble techniques give insight to the big organizations to facilitate outbound Open Innovation effectively. It also provides insight into the requirements of the startups and the kind of support they seek from the big organizations. The ranking can help the big organization close the gaps and make an informed decision to increase the effectiveness of the collaborations and boost innovation.

This is a unique research work where the MCDM approach is used to identify the ranking of key factors affecting outbound open innovation between startups and big organizations. The MCDM technique is followed by the ensemble method to rationalize the findings. Technology Relevance ranks highest, followed by Innovation Ecosystem, Organization commitment and Knowledge Sharing.