Search Results (395)

This study examines the direct effects of R&D transfer and the sufficiency of financing for entrepreneurs on Technological Total Entrepreneurial Activity (TechTEA), as well as the mediating role of financing. The analysis employs a variance-based structural equation modeling approach (PLS-SEM) to explore causal relationships among the variables. Data are drawn from the Global Entrepreneurship Monitor (GEM), specifically the National Expert Survey (NES) and the Adult Population Survey (APS), covering 26 emerging economies. The findings reveal that R&D transfer has a significant positive effect on the sufficiency of financing available to entrepreneurs. However, R&D transfer shows a significant negative direct effect on TechTEA. In contrast, the sufficiency of financing has a positive impact on TechTEA, acting as an inconsistent mediator that neutralizes the negative direct friction of R&D and unlocks its positive indirect potential. The study demonstrates that Resource-Based View (RBV) principles operate in a fundamentally distinct manner within emerging economies. Raw technical knowledge (R&D transfer) and capital injections (sufficiency of financing) are not self-sufficient drivers of high-tech ventures in developing contexts. From a sustainability perspective, this dynamic suggests that institutional and ecosystem frictions can impede the Triple Bottom Line, as technological potential struggles to achieve the economic viability required for long-term societal impact. Consequently, achieving genuine ecosystem sustainability requires policymakers to shift away from isolated, supply-side resource injections. Future strategies must pivot toward comprehensive institutional governance, friction-reduction mechanisms, and cross-sector regulatory coordination to enable technological ventures to successfully scale and survive over time. Full article

This study examines the associations among entrepreneurial self-efficacy, entrepreneurial resilience, financial constraints, and sustainable business practices among micro and small women entrepreneurs in the West Bank, Palestine. Drawing on Social Cognitive Theory and Conservation of Resources Theory, a moderated mediation model is proposed and explored in which entrepreneurial resilience mediates the relationship between entrepreneurial self-efficacy and sustainable business practices, while financial constraints moderate this indirect pathway. Survey data were collected from 282 micro and small women entrepreneurs through a purposive stratified sample facilitated by microfinance institution and NGO networks, and the model was assessed using partial least squares structural equation modeling via SmartPLS 4. The findings indicate that entrepreneurial self-efficacy is positively associated with sustainable business practices both directly and indirectly through entrepreneurial resilience. Financial constraints significantly weaken the resilience-to-practices pathway, and the moderated mediation analysis reveals that the indirect association diminishes as financial constraints intensify. These findings contribute to sustainable entrepreneurship theory by identifying the sequential psychological pathway through which self-efficacy translates into responsible business conduct and by establishing material resource scarcity as a boundary condition of that pathway in fragile economy contexts. Full article

People with disabilities face multiple challenges in the labor sphere, including barriers to access, discrimination, lower job stability, and limited opportunities for development, all of which restrict their economic and social participation. In response to this reality, public policies aimed at labor inclusion have gained increasing relevance due to their potential to reduce inequalities and strengthen social sustainability. The aim of this study was to analyze public policies designed for the labor inclusion of people with disabilities by identifying their main characteristics, target populations, implementation barriers, and their relationship with social sustainability. The PRISMA methodology was applied, and, as a result of the search, selection, and evaluation process, 75 primary studies were included in the analysis. The results show that policies are mainly concentrated on measures to facilitate access to employment, incentives for employers, and vocational training, while entrepreneurship receives less attention. Most policies are directed toward people with disabilities in general, with limited attention to specific subgroups. Persistent barriers were identified, including prejudice, weak institutional coordination, and a gap between regulatory frameworks and their effective implementation. It is concluded that, although these policies show progress in terms of inclusion, their contribution to social sustainability depends on more effective, better coordinated, and more responsive implementation that takes into account the diversity of needs within this population. Full article

There is renewed interest in local sourcing, regional supply chains, and the rebuilding of fiber-to-fashion systems. However, limited attention has been paid to the upstream role of fiber farmers and the infrastructure that enables or constrains regional textile economies. This study investigates the opportunities and challenges of fiber farming in West Virginia and explores the motivations that drive participation in this sector. Using a qualitative approach, semi-structured interviews were conducted with 16 fiber farmers across West Virginia. The findings revealed five interconnected themes: heterogeneous actants, the translation of wool, regional network breakdown, festivals and social media as network hubs, and institutional gaps and network fragility. The results indicate that fiber farming persists through strong community networks, adaptive entrepreneurial strategies, and deep attachments to place. However, its economic viability is constrained by declining processing infrastructure, labor shortages, weakened institutional support, and fragmented supply chains. These challenges also have important sustainability implications. Most notably, wool is often discarded because processing and transportation costs exceed its market value, resulting in the waste of a renewable and biodegradable fiber that could otherwise remain in productive use. This study contributes to the literature on local sourcing, rural entrepreneurship, and sustainable and circular economies by highlighting the relational infrastructures required to rebuild regionally embedded textile systems in Appalachia and beyond. Full article

The tension between corporate growth and sustainability is a common governance dilemma faced by transitional economies in their green development. This study incorporates corporate ESG performance and its potential influencing factors into the analysis framework and constructs a theoretical model to capture the relationship between China’s National Demonstration Base policy for Mass Entrepreneurship and Innovation (MEI) and corporate ESG performance, based on the framework that integrates resource enablement, reputation accumulation and information governance. Leveraging the quasi-natural experiment provided by China’s National Demonstration Program for Mass Entrepreneurship and Innovation (MEI), this study systematically evaluates the impact of China’s demonstration policy on corporate ESG performance, drawing on data from A-share listed companies spanning 2010 to 2024. The study finds that the demonstration policy significantly improves enterprise ESG performance, which remains robust after a series of robustness tests. The mechanism test reveals that the policy promotes firms’ green technology innovation by lowering innovation costs, facilitates the accumulation of social reputational capital by incentivizing charitable donations, and compels improvements in information disclosure quality by strengthening market-oriented oversight. Heterogeneity analysis shows that the policy effects are more prominent among heavy polluting industries, large-scale enterprises and firms at the mature stage. Moreover, industry competition intensity and digital transformation have a positive moderating effect on the policy effects. This paper enriches the theoretical dialogue between institutional innovation policy and enterprise sustainable development, providing empirical evidence for the development of a collaborative ESG governance mechanism characterized by an active government and an efficient market. Full article

Entrepreneurship education in film and the creative industries refers to a set of pedagogical approaches, curricula, and institutional frameworks designed to foster entrepreneurial mindsets, competencies, and practices among students and professionals operating within the cultural and creative industries (CCIs). Going well beyond conventional business training, entrepreneurship education in this context encourages learners to identify opportunities for value creation—cultural, social, and economic—to develop sustainable modes of creative practice, and to engage critically with the markets, institutions, and communities that constitute the contemporary creative economy. Within film studies and adjacent disciplines such as media production, design, music, and the visual arts, entrepreneurship education plays an increasingly prominent role in preparing graduates for careers characterised by self-employment, project-based work, portfolio careers, and the continuous negotiation of artistic autonomy with the imperatives of professional sustainability. This entry aims to compile and organise existing knowledge on entrepreneurship education as it applies to the CCIs, with particular attention to the film and audiovisual sector, drawing on academic literature, European policy frameworks, and empirical industry evidence. The entry uses a narrative literature review approach, synthesising scholarly works from the fields of education, cultural economics, and creative industry research alongside institutional documentation and policy instruments, in order to provide a systematic and accessible account of the current state of knowledge in this area. Full article

Studentpreneurship has gained prominence in South Africa as universities are increasingly expected to foster innovation, job creation, and youth participation in the economy. However, despite the establishment of incubators, entrepreneurship centres, mentorship programmes, and EDHE-aligned initiatives, support for studentpreneurs remains unevenly implemented, poorly integrated, and inconsistently accessible, particularly within a historically disadvantaged university. This study examines how university support mechanisms shape the experiences, challenges, and business development trajectories of studentpreneurs in a South African university. Guided by Entrepreneurial Ecosystem Theory, the study adopts a qualitative research design involving in-depth interviews with 15 studentpreneurs. Thematic analysis reveals significant gaps in awareness, accessibility, and continuity of institutional support. While students valued motivational workshops, pitching opportunities, and limited mentorship, these interventions lacked sustained follow-up, sector-specific guidance, and financial or infrastructural resources necessary for business growth. The study contributes to South African entrepreneurship scholarship by highlighting the lived realities of studentpreneurs at a historically disadvantaged university and by proposing institutional reforms to build more coherent, equitable, and sustainable studentpreneurship ecosystems. Full article

Tourism education is central to human capital development under Saudi Arabia’s Vision 2030, yet the extent to which curricula align with emerging industry requirements remains underexplored, particularly in developing economy contexts. This qualitative study examines student and faculty perspectives on curriculum alignment at the University of Ha’il’s Tourism and Antiquities Department. Twenty participants were purposively recruited and interviewed; data were analyzed using thematic analysis. Findings reveal four interconnected challenges: a persistent theory–practice gap sustained by lecture-based pedagogies, insufficient integration of digital and smart tourism technologies, weak industry–academia partnerships, and structural barriers to interdisciplinary collaboration. In response, this study proposes an interdisciplinary integration model structured around five domains: digital technology, sustainability and environment, business and entrepreneurship, cultural and creative industries, and social sciences and community engagement. The model provides a progressive framework for cross-departmental collaboration and represents the study’s primary practical contribution. Theoretically, the study demonstrates that curriculum misalignment operates through mutually reinforcing institutional constraints rather than discrete correctable deficits. Recommendations address curriculum reform, technology investment, structured partnership development, and administrative conditions enabling interdisciplinary implementation. Full article

Opera Out of Opera 2 (OOO2) is a Creative Europe cooperation project that experiments with digital, participatory strategies to reconnect opera with younger audiences and to reshape professional capacity for conservatory students. Rather than treating opera as a fixed repertoire to be transmitted, the project frames it as a site of co-creation, where youth and emerging professionals share agency in how the art form is presented, mediated and discussed. This article has two related aims. First, it examines how OOO2’s digital-first Audience Engagement Strategy (AES) may contribute to audience development among 18–25-year-olds, focusing on reach, participation patterns and perceived accessibility. Second, it investigates how participation in the project appears to affect conservatory students’ entrepreneurial self-efficacy and their understanding of their potential social role as musicians. Methodologically, the study combines a participatory action research (PAR) framework with an embedded single-case design. Quantitative data include pre- and post-intervention questionnaires with 132 higher music education students. An audience survey completed by 1256 spectators, complemented by social media and web analytics, is also embedded. Qualitative material derives from semi-structured interviews (n = 30), focus groups with project stakeholders and direct observation of workshops, rehearsals and performances. Results indicate a marked digital reach among younger audience and suggest that shorter formats, informal settings and second-screen mediation can lower perceived barriers to opera attendance for first-time or occasional spectators. Among students, mean scores for entrepreneurial self-efficacy increased from 3.2 (SD = 0.8) to 4.1 (SD = 0.7), corresponding to a large effect size (Cohen’s d = 1.20, p < 0.01), a pattern broadly consistent with research on self-efficacy and capacity creation in music and arts-based entrepreneurship education. The discussion connects these findings with a bibliometric mapping of audience development in opera, conducted on 147 Scopus-indexed documents, and argues that OOO2 occupies a still under-theorized intersection between youth-centred cultural participation and entrepreneurial capacity-building in higher music education. While the single-case design and the use of self-constructed survey items limit generalizability, the project may offer a useful reference point for institutions seeking to rethink opera’s approach as a digitally mediated, socially engaged and educationally meaningful practice. Full article

With the 2030 deadline for the United Nations Sustainable Development Goals (SDGs) approaching, there is a growing global urgency to identify innovative, scalable, and inclusive AI-based or AI-enabled solutions capable of accelerating progress across sectors. Yet the benefits of AI remain unevenly distributed, particularly in low-resource settings where limited infrastructure, cost barriers, and unequal access to skills constrain adoption. This paper explores how Tiny Machine Learning (TinyML)—a low-power, low-cost edge AI paradigm—offers a concrete technological pathway aligned with the principles of Frugal AI, providing accessible, energy-efficient, and context-adapted tools for sustainable development. We evaluate how participatory citizen science, when combined with TinyML, enables communities to co-create AI applications that address locally defined challenges in environmental monitoring, agriculture, and public health. Drawing on early outcomes from workshops, collaborative projects, and innovation competitions, the paper examines how TinyML-enabled participatory approaches cultivate technical skills, stimulate grassroots entrepreneurship, and generate prototypes suited to low-resource environments. Using a qualitative multiple-case study of 50 participatory TinyML initiatives across 22 countries, we analyse how frugal edge-AI practices support skills formation, prototype development, and early entrepreneurial engagement. The analysis identifies the pedagogical, technical, and institutional frameworks that support successful participatory AI initiatives, emphasizing open educational resources, cross-sector partnerships, and community-driven problem formulation. We introduce the Frugal Edge AI Lean Canvas to help innovators identify novelty, ethical implications, and measurable impact. TinyML-based participatory innovation offers a promising route for accelerating SDG progress by expanding who can create, deploy, and benefit from AI. Full article

Social entrepreneurship has emerged as a strategic approach to addressing collective needs through innovative and sustainable solutions. While many instruments have traditionally focused on business and organizational metrics, a significant gap remains in tools specifically validated for the professional and cultural context of health sciences in Latin America. Grounded in a multidimensional theoretical framework of social entrepreneurship traits, this study aimed to validate a questionnaire designed to measure social entrepreneurship among 1129 Mexican health science students. Following exploratory factor analysis using principal axis factoring and confirmatory factor analysis, a refined 17-item three-dimensional structure was identified, comprising innovative, execution, and social traits. The model demonstrated moderate fit (χ² = 580.468, p <0.001; CFI = 0.831; RMSEA = 0.084) and preliminary internal consistency. Measurement invariance across sex and semester was also supported. These findings provide a context-specific tool for exploring initial entrepreneurial potential, enabling higher education institutions to design targeted programs that foster proactive innovation and social commitment toward sustainable development. Full article

This article examines the emergence of entrepreneurial universities within China’s innovation-driven development agenda, with Shenzhen used as a regional case through which to analyse this process. Drawing on the Triple Helix literature and its later Quadruple and Quintuple Helix extensions, this study uses a qualitative case-study design that combines policy and archival analysis, descriptive questionnaire evidence from 132 respondents, and 42 semi-structured interviews with university, industry, government and venture-capital actors. The analysis shows how Shenzhen’s innovation capacity has been built through the interaction of firm-led technological upgrading, enabling municipal governance and a gradual repositioning of universities. Rather than following the university-centred pattern often associated with mature Western innovation systems, Shenzhen displays a hybrid Helix configuration in which universities acquire entrepreneurial functions through talent provision, external partnerships, practice-oriented knowledge exchange and organisational adaptation. This article therefore contributes to debates on entrepreneurial universities by explaining how such institutions can develop in late-developing, industry-led regions where conventional research infrastructure is initially limited. It also offers policy implications for strengthening sustainable university entrepreneurship, cross-sector coordination and regional innovation resilience in emerging economies. Full article

In a media ecosystem marked by misinformation and disinformation, democratic resilience requires new strategies for digital and media literacy and participation. In the proposed model, the University, through transnational Cooperation Partnerships, activates applied research laboratories that generate high-social-impact communication prototypes. The European case studies Respectnet and DigiFunCollab demonstrate that the conscious use of digital media, transforming students from passive users into conscious creators, reduces vulnerability to cognitive biases, filter bubbles, and echo chambers, thereby limiting manipulation in democratic processes and stimulating civic participation. The imitative diffusion of such practices generates virtuous circles of collective learning. The theoretical framework combines institutional isomorphism, reinterpreted as a virtuous isomorphism of best practices, with democratic resilience and the UNESCO MIL and DigComp 2.2 frameworks. The methodology adopts a mixed-methods design with a quantitative prevalence. The qualitative phase includes focus groups with national stakeholders and a national report (regulatory analysis, training needs, SWOT on social entrepreneurship) preliminary to course design. The quantitative phase involves monitoring training pathways (online course and project work) and a final questionnaire. Indicators include the number of participants, certifications, projects developed, and engagement levels. By systematically implementing this approach, the Academy fuels multi-stakeholder institutional dialogue. Knowledge transfer creates communicative culture and strengthens the democratic capacity of communities. This approach confirms the role of Visual Education as a tool to integrate the University’s three missions, thus structurally reinforcing democratic resilience. Full article

Innovation system decision-making is a core component in promoting incentives and conditions necessary for the emergence of innovation. It also plays a critical role in guiding policy and modeling strategies that aim to promote science, technology, and entrepreneurship at national, regional, and local levels. Decision-makers often select innovation system models that do not align with contextual scope, data accessibility, or institutional conditions, undermining their implementation. The lack of alignment between innovation system model assumptions and contextual realities undermines analysis and policy design, particularly when trying to implement a regional model on a national scale without any sort of adaptation. This study presents a framework that aligns innovation system models to specific contexts by providing a decision-making system based on structural analysis. Using a comprehensive collection of relevant previous studies related to the theoretical evolution of innovation system models, this research provides insights regarding the most used types and techniques to compare innovation systems comprising national and regional ISs, helix models, and innovation and entrepreneurship ecosystems. For each model, explanatory potential via structural analysis is operationalized through five indicators derived from multilevel graphs: geopolitical scope, number of actors, vertical and horizontal density, and Shannon’s entropy. These indicators are then systematized into dimensions comprising two feasibility filters and three mechanism-related dimensions, forming the basis for a minimum viable innovation system model selection heuristic. This structural analysis shows that ecosystem lenses capture distributive and adaptive interaction structures; helix models emphasize coordination and governance; and national or regional innovation systems underscore policy reach and institutional boundaries. The results provide a numerical analysis of three different contexts—a national mission, a city entrepreneurship program, and a regional coordination upgrading effort—highlighting areas for improvement in planning, project implementation, and public policy design. Full article

This study investigates the determinants of GDP per capita across 26 European Union member states over the period of 2006–2024, with a particular focus on entrepreneurship, institutional quality, and macroeconomic factors. Given the presence of long-run income differences across EU countries, the analysis explicitly accounts for structural heterogeneity in economic development and institutional capacity. To ensure robust estimation in the presence of cross-sectional dependence and slope heterogeneity, the study employs advanced panel econometric techniques, including tests for cross-sectional dependence, unit roots, and cointegration. Long-run relationships and short-run dynamics are estimated using the Cross-Sectionally Augmented Autoregressive Distributed Lag (CS-ARDL) model, complemented by robustness checks based on the Augmented Mean Group (AMG) and Common Correlated Effects Mean Group (CCEMG) estimators. In addition, the Method of Moments Quantile Regression (MMQR) is applied to capture heterogeneity across different points of the income distribution, thereby reflecting long-run income disparities among EU member states. The empirical results confirm the existence of a stable long-run equilibrium relationship among the variables. The baseline CS-ARDL estimates indicate that institutional quality, entrepreneurial activity, trade openness, and government expenditure exert positive and statistically significant effects on GDP per capita, while financial development exhibits a negative effect and foreign direct investment remains insignificant. In the short run, entrepreneurship and trade openness contribute positively to GDP per capita, whereas government expenditure and credit expansion generate contractionary effects. The robustness analysis using AMG and CCEMG estimators largely supports these findings, as the direction of the coefficients remains consistent across alternative specifications, although some variation in statistical significance is observed due to differences in the treatment of cross-sectional dependence and unobserved common factors. The MMQR results further reveal substantial heterogeneity across the income distribution, indicating that the effects of key determinants vary depending on countries’ long-run income levels. In particular, trade openness and institutional quality exert stronger positive effects in lower-income quantiles, while the adverse effects of excessive financial development are more pronounced in higher-income quantiles. Overall, the findings underscore the importance of promoting productive entrepreneurship, strengthening institutional frameworks, facilitating trade integration, and ensuring efficient financial intermediation to enhance GDP per capita within the European Union. The results also highlight the need for differentiated policy approaches that explicitly account for long-run income heterogeneity, structural differences, and varying institutional capacities across EU member states. Full article