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Multiple crowdfunding platforms have been created over the last decade. Some have become extremely successful, but many others have failed. This study focuses on those strategic choices that founders of crowdfunding platforms need to make early on and which determine the basic characteristics of a platform. Specifically, it examines which combination(s) of these initial strategic choices shape(s) the survival of a platform.

Qualitative comparative analysis is used to analyze the design configurations that are especially relevant for the long-term survival of crowdfunding platforms. Several robustness checks are performed. The empirical setting consists of a unique dataset of all crowdfunding platforms created in Spain over a period of ten years.

Ten configurations are obtained (four in the case of reward and donation platforms, and six for equity and lending), suggesting different paths to platform survival. Although equity and lending platforms tend to be more likely to survive than donation and reward platforms, the type of platform is not definitive. Another interesting observation is that when platforms fail, they do so quite fast.

We acknowledge that strategic choices are a combination of different elements; therefore, our approach offers a holistic view that mirrors the heterogeneity of resources and capabilities of entrepreneurs. Our study derives a different set of recommendations for lending and equity platforms than for reward and donation platforms, underlining the importance of designing and treating each type of platform in a particular way.

Most crowdfunding literature has the individual crowdfunding project as the main level of analysis. Research to date has focused on the characteristics that projects must possess to succeed. The present study explores differences at the platform level. Our research brings new evidence on some of the decisions entrepreneurs need to confront when starting a crowdfunding platform and provides useful recommendations that might help them increase the chances of survival for their platform.

This study addresses the challenge of integrating entrepreneurial competences development into the traditionally structured engineering curriculum, recognizing its potential contribution to job creation. Specifically, this study proposes a course design that intersects project management and entrepreneurial disciplines, adopting a challenge-based learning approach.

Considering a list of common features that entrepreneurs and engineers—in the role of project managers—should excel at, and building upon the principles of experiential learning, this study proposes and describes a course design that is expected to help engineering students develop entrepreneurial competences. Through a series of assessment instruments and descriptive statistics, the study evaluates its implementation in a pilot test applied in a Project Management course at a Spanish university.

The results demonstrate a significant improvement in students' entrepreneurial competences after completing the course. Noteworthy variations in receptiveness to skill development among different personality profiles are observed. Gender differences are minimal, with the exception of women exhibiting heightened self-perception in the autonomy dimension.

This study explores the common features shared by two often-disconnected disciplines, namely engineering and entrepreneurship. It suggests that integrating both perspectives through a challenge-based course design can enhance entrepreneurial competences among engineering students without compromising the specific knowledge gained from engineering programs. Engaging students in such pedagogical experiences not only fosters entrepreneurial competences but also contributes to their professional and personal growth.

The purpose of this study is to analyse how different patterns of production factors consumption of Spanish universities lead to specific technology transfer (TT) profiles (outcomes).

Adopting a resource-based view perspective (RBV), qualitative comparative analysis (QCA) is used to analyse the relationship between different combinations of resources – human resources, financial resources and support services – and various portfolios of TT outcomes – intellectual or industrial property agreements, spin-offs and TT income.

Results indicate that there is no unique formula of resource consumption that leads to a specific portfolio of TT outcomes. These results seem to reflect the characteristics and competencies added by universities, along with the characteristics of their socioeconomic context. From a RVB perspective, this indicates that the considered resources are substitutable.

The effectiveness of university policies is expected to vary by university, for example depending on the type of resources that is most relevant in the university’s production process. To develop competitive advantages Spanish public universities must resort to internal intangible resources or specific and inimitable combinations of the available resources.

Since Spanish universities are heterogeneous and display different TT portfolios they address the needs of different users.

Previous studies have failed to acknowledge the heterogeneity among universities. To perform the analysis QCA is used, an innovative methodology in the higher education sector that enables us to purposefully acknowledge institutional diversity (in both resources and results). This allows us to indirectly take into account the capabilities of universities using a more holistic approach to evaluate their competitiveness.

The paper aims to define a dashboard of indicators to assess the quality performance of higher education institutions (HEI). The instrument is termed SMART-QUAL.

Two sources were used in order to explore potential indicators. In the first step, information disclosed in official websites or institutional documentation of 36 selected HEIs was analyzed. This first step also included in depth structured high managers’ interviews. A total of 223 indicators emerged. In a second step, recent specialized literature was revised searching for indicators, capturing additional 302 indicators.

Each one of the 525 total indicators was classified according to some attributes and distributed into 94 intermediate groups. These groups feed a debugging, prioritization and selection process, which ended up in the SMART-QUAL instrument: a set of 56 key performance indicators, which are grouped in 15 standards, and, in turn, classified into the 3 HEI missions. A basic model and an extended model are also proposed.

The paper provides a useful measure of quality performance of HEIs, showing a holistic view to monitor HEI quality from three fundamental missions. This instrument might assist HEI managers for both assessing and benchmarking purposes. The paper ends with recommendations for university managers and public administration authorities.

Given their capacity to generate knowledge, universities can be the primary external source of knowledge and innovation for companies. Despite studies on the potential drivers of open innovation, the actors involved in these projects beyond academics and the most effective practices that universities follow for successful university–industry collaborations remain unclear. This study aims to identify the enablers and best practices universities follow to contribute to successful university–industry open innovation results, providing a conceptual framework for the management of such initiatives.

Articles from peer-reviewed academic journals identified in the Scopus and Web of Science databases were researched in this scoping review. The review used descriptive and thematic analyses and focused on 93 articles published between 2013 and 2023 that analysed universities’ enablers and practices for knowledge transfer to the industry.

Organisational factors, stakeholder attitudes, infrastructure, and external factors facilitate knowledge transfer from universities to companies. The most effective practices for promoting innovation are related to project management, policies and incentives and are relational and educational. Performance results can be evaluated through quantitative and qualitative indicators, measured at the different phases of the innovation process, considering the impacts achieved.

Previous reviews have focused on barriers, researchers’ motivations or specific enablers. The enablers and practices identified were analysed with a systemic vision, considering the university as a unit of analysis. This study suggests a comprehensive conceptual framework for the successful management of university–industry open innovation.