Abstract
This study investigates how pandemic-induced digitalisation, understood as the transition to remote work combined with the enforced use of digital tools and the reconfiguration of tasks and digital skills at the job level, has affected job security and job quality in Portugal. In 2022, a nationwide survey was administered to employees in companies registered in the country, yielding 2001 valid responses through a stratified random sampling strategy that ensured representation across different firm sizes. Structural equation modelling (PLS-SEM) was used to examine the relationships between digitalisation (independent construct) and perceived job quality and job security (dependent constructs), while controlling for demographic, organisational, and work-regime characteristics. Digitalisation had a significant positive effect on perceived job quality but no systematic effect on perceived job security. The results also revealed more positive perceptions of job security among women, employees in smaller firms, and those working on-site, whereas directors and workers in the Lisbon Metropolitan Area reported greater negative effects. These findings underscore the importance of contextual factors in shaping how workers experience digitalisation and provide evidence to inform public policies aimed at promoting job security and job quality in a post-COVID-19 labour market.

Abstract
Understanding how structural change drives long-run growth requires jointly considering the dynamics of productive and scientific specialisations, and science-industry alignment. This paper develops and tests a unified framework that integrates evolutionary, structuralist, complexity, and innovation-systems perspectives to assess how productive and scientific specialisations, science-industry alignment, diversification, and global value chain integration shape economic performance. To operationalize this framework, we construct new indicators, including a Science-Industry Matching (SIM) index, measures of dynamic entry and relatedness density, and specialisation-based diversity indices, and apply them to a panel of up to 142 countries over 2000-2018/2023. Estimation relies on country fixed effects with Driscoll-Kraay standard errors to address heteroskedasticity, autocorrelation, and cross-sectional dependence. The results reveal that persistent specialisation in high- and medium-high-tech industries fosters growth, while low-tech dependence constrains it. Scientific specialisation in enabling fields such as mathematics, physics, chemistry, and energy/environmental sciences supports growth, but excessive concentration risks lock-in. Science-industry alignment enhances growth in advanced economies with strong absorptive capacity but penalises weaker systems. Industrial diversification often dilutes resources, whereas scientific diversification consistently promotes growth by broadening the knowledge base for recombination. Finally, integration into global value chains is growth-enhancing in developing economies, while advanced economies can sustain higher domestic value added without significant penalties.

Abstract
Social entrepreneurship is crucial for sustainable development as it blends innovative business models with a focus on economic, social and environmental impact. This synergy can potentially accelerate progress towards the sustainable development goals, creating a more equitable and sustainable future. This study aims to explore this phenomenon by carrying out a systematic review of literature. It is adopted the PRISMA framework to identify 54 relevant studies in this field. The findings characterize the evolution of articles in this field, the number of citations, the relationship between key terms, and the respective clusters. Moreover, seven contributions of social entrepreneurship for sustainable development are identified. Finally, the role of technology in promoting and supporting the interconnection between social entrepreneurship and sustainable development is explored. This study is relevant to enhance understanding of how technology supports social entrepreneurship and helps social entrepreneurs to achieve sustainable development goals.

Abstract

Abstract
Purpose - The objective of this study is to integrate various theories of identity within entrepreneurship and derive insights and propositions that enhance the understanding of how an incubation program influences the formation and development of entrepreneurial team identity. Design/methodology/approach - This study adopts a qualitative multiple case study design to explore how entrepreneurial team identity develops within ventures incubated at CEU iLab. The analysis is based primarily on interviews with individual entrepreneurs from five selected ventures, complemented by secondary data to enrich and contextualize the findings. Findings - The findings revealed the interconnections between entrepreneurial team formation processes, social interactions, networking, entrepreneurial team stability, feedback mechanisms, team dynamics and intrateam trust and legitimacy. Moreover, the cultivation of a culture defined by trust, open communication and the active integration of feedback mechanisms played a pivotal role in the creation of collaborative team environments. Furthermore, the process of building an entrepreneurial team is heavily reliant on shared vision, common values, complementary skill sets, intrateam trust and pre-existing relationships. Originality/value - This study addresses a notable gap in the existing literature by studying how entrepreneurial teams and individual entrepreneurial team members manage to form and develop their entrepreneurial identity. By focusing on the dynamic processes behind identity formation within teams, this research provides novel insights into the motivations that drive individuals and teams to engage in entrepreneurial activities. This focus on the interplay between identity and team processes represents a distinctive and timely addition to the field.

Abstract
This study aims to explore the impact of seven dimensions of local communities’ involvement in the context of the sustainable open innovation paradigm on entrepreneurial performance considering a tri-dimensional perspective comprising turnover, innovation capacity (IC), and employability. A quantitative methodology was adopted, applying correlational analysis and hypothesis testing to a total of 296 new ventures based in European science parks. The findings indicate that only the entrepreneurial capacity of new ventures has improved, but not turnover and employment. Also, only years of experience in open innovation networks contribute to increasing the performance of entrepreneurs in their IC, but age and gender are not significant factors. This study broadens the scope of sustainable open innovation by positioning local communities as central actors rather than peripheral stakeholders. It enriches key theoretical frameworks such as Sustainable Development Goals (SDGs) and social capital theory by emphasizing community-driven innovation. Practically, it offers actionable strategies for engaging communities and guiding policymakers toward inclusive innovation policies, thereby contributing to both academic discourse and real-world impact in sustainability and innovation ecosystems.