Search Results (272)

This research examines the shifting geography of small firm innovation in the U.S. by tracking the location of small business innovation research (SBIR) and small business technology transfer (STTR) awardees between 2010 and 2024. The SBIR and STTR are “seed fund” awards coordinated by the Small Business Administration (SBA) and funded through 11 U.S. federal agencies. Of particular interest is whether the number of individual SBA awards, awarded firms, and/or funding amounts are (1) becoming increasingly concentrated within regional innovation hubs and (2) exhibiting a shift toward or away from urban centers and other walkable, transit-accessible urban neighborhoods, particularly since 2020 and the COVID-19 pandemic. While the rise of remote work and pandemic-related fears may have reduced the desirability of urban spaces for both living and working, there remain significant benefits to spatial agglomeration that may be especially crucial for startups and other small firms in the knowledge- or information-intensive industries. The results suggest that innovative activity of smaller firms has indeed trended toward more centralized, denser, and walkable urban areas in recent years while also remaining fairly concentrated within major metropolitan innovation hubs. The pandemic appears to have resulted in a measurable, though potentially short-lived, cessation of these trends. Full article

In October 2024, a DANA (Isolated Depression at High Levels) triggered torrential rains across the Valencian Community, causing 227 deaths, severe infrastructure damage, and economic losses estimated at €17.8 billion. In this context of crisis, startups, despite having fewer resources and less experience than large corporations, played a significant role in crisis communication, shaping public perception and operational continuity. This study explores the communication strategies adopted by startups during and after the disaster, focusing on their activity on Instagram, TikTok, and Facebook between October 2024 and January 2025. Using a mixed-methods approach, we conducted a quantitative analysis of digital discourse through the Fanpage Karma tool, assessing metrics such as engagement, reach, and posting frequency. Sentiment analysis was performed using GPT-4, an advanced natural language processing model, and in-depth interviews with startup representatives provided qualitative insights into reputational impacts. The findings reveal that startups which aligned their discourse with the social context, prioritizing transparency and emotional proximity, enhanced their visibility and credibility. These results underscore how effective crisis communication not only mitigates reputational risk but also strengthens the local entrepreneurial ecosystem through trust-building and social responsibility. Full article

Startups are essential to solving contemporary global financial and social challenges. The purpose of this paper is to provide a systematic review of the literature on the economic, environmental, and social values of sustainability in startups. Research papers that included the terms “sustainability in startups”, “sustainability of entrepreneurship”, “environmentally friendly new businesses”, “startups”, “entrepreneur”, “sustainable development”, “green economy”, “green investment”, “green development”, “financial sustainability”, “entrepreneurship performance”, and “agriculture entrepreneurship” were considered for analysis. The PRISMA 2020 protocol was used for the screening of relevant articles addressing economic, environmental, and social sustainability in startups. This study is limited to 42 research papers extracted from SCOPUS and DOAJ databases covering the period 2010 to 2024. Most of these provide literature on European, American, and Asian countries, indicating that startups prioritise the economic value of sustainability. However, the review of the literature demonstrates that startups are beginning to adopt a more balanced approach to sustainability as all three pillars addressing economic, environmental, and social values are represented. Sustainable practices improve startups’ performance. There is a need for active research in startup sustainability in the African context to address the research gap identified in the analysis of the literature. Full article

In today’s globalized and rapidly evolving technological landscape, innovation serves as a critical driver of economic growth and competitive advantage. The concept of an innovation ecosystem has emerged to elucidate the complex interactions among various stakeholders—including public sectors, startups, academia, businesses, NGOs, and venture capitalists—who collaborate and compete to foster technological advancements and economic growth. Open innovation emphasizes leveraging external ideas alongside internal efforts to enhance innovation capabilities, fostering more dynamic and resilient systems. Additionally, learning from innovation failures plays a crucial role in shaping effective strategies for growth, as startups often translate these learnings into robust innovation frameworks. Given the increasing complexity and interconnectedness of innovation ecosystems, traditional metrics often fail to capture their dynamic and collaborative nature. The European Innovation Scoreboard (EIS) provides a comprehensive framework for assessing the innovation performance of EU countries, offering insights into the overall health and performance of innovation ecosystems. This review article addresses the need to identify metrics and methods for measuring open innovation’s impact on innovation ecosystems. Building upon foundational theories and empirical findings, this study proposes a framework for evaluating the impact of open innovation on innovation ecosystems. It integrates insights from the academic literature with EIS metrics to develop robust methods for assessing open innovation’s multifaceted influence. This review article is particularly relevant as firms and policymakers strive to understand which metrics are most affected by open innovation and how these can be leveraged to enhance the performance and sustainability of innovation ecosystems. Full article

The selection of start-ups by business incubators (BIs) is one of the main processes of these organizations that aim to promote entrepreneurship and economic development. Through a systematic literature review of the BI selection phase, following the PRISMA guidelines, a new conceptual model is proposed, delineating findings across three dimensions: the incubatee–incubator alignment and BI strategy, the selection criteria considered, and the decision-making methods used. The conceptual model proposed here represents the first conceptual model focused exclusively on the selection of start-ups by BIs, mapping practices in terms of start-up selection that hold important practical implications for BI managers. Considering the growing need to align economic performance with environmental and social objectives, the start-up selection process by BIs also plays a key role in fostering sustainability-oriented ventures. This fact increases the relevance of this selection phase, not only in terms of operational efficiency, but also as a potential lever for sustainable regional development. Findings emphasize the need for future research that integrates all three dimensions simultaneously, explains the selection process at an operational level, and assesses the importance of this phase for BI performance. Full article

This paper proposes a conceptual framework for studying the KPIs of digital accelerators. Therefore, a critical review was developed and we derived clear recommendations in terms of KPIs that researchers must consider when evaluating digital accelerators applicable to startups. Digital startup businesses must focus on product, external factors, process, capability, organizational factors, and market to achieve sustainability. The proposed framework asserts that profitability, growth, productivity, and size are key categories that should be taken into consideration while grouping KPIs. These categories should be grouped into three different dimensions, economic, technological, and organization/client. The proposed KPIs can help the accelerator program evaluate its own performance and make the necessary adjustments to improve the program and eventually measure the startup’s success. Full article

Higher education institutions (HEIs) are increasingly seen as central actors in entrepreneurial ecosystems, yet their support mechanisms do not always align with the needs of student entrepreneurs. This study investigates how key stakeholders, business students, professors, and experienced start-up founders perceive the relative importance of success factors for student-led start-ups within HEIs. Using a cross-sectional descriptive design, this study used a 34-item survey instrument developed through an extensive literature review and validated for content by a panel of experts. Triangulation between stakeholder groups enabled a multidimensional comparison of perspectives. Descriptive statistics were used to analyze patterns of agreement and variability, resulting in a three-tier framework of success factors based on perceived importance and consensus. High-impact factors included faculty entrepreneurial experience, student mindset, and access to mentorship, while traditional inputs such as infrastructure, legal support, and funding were ranked lower. The findings highlight a misalignment between institutional offerings and stakeholder priorities, highlighting the critical role of social and human capital. This research provides practical guidance for HEIs seeking to improve entrepreneurial support and contributes to theoretical discussions on stakeholder-informed ecosystem models. Although limited by its single-institution context, this study offers a foundation for future cross-institutional and longitudinal research. Full article

We explored the use of artificial intelligence (AI) in enhancing the English proficiency of students in the English as a Foreign Language (EFL) course through a startup product development curriculum. In the course, real-world business scenarios of startup companies were offered for students to analyze English communication skills on crowdfunding platforms and in product promotional videos. The EFL students used entrepreneurial skills to create and present their product videos in a team to the class who acted as potential investors. Pre- and post-test analyses were conducted to assess the impact of AI-assisted learning on enhancing English listening and reading ability. Significant improvements were observed, suggesting AI-enhanced entrepreneurial experiences and the listening and reading ability of the EFL students. Full article

Accurately predicting the success of startup financing is critical for strategic business planning and informed investor decision-making. Traditional financing prediction models typically focus on a company’s financial indicators to explore the impact of factors such as resource allocation and strategic choices on financing success, yet they often overlook the important role of social media as an external source of information in influencing financing performance. To address this gap, this paper focuses on the role of social media sentiment in predicting startup financing success and proposes a decision support system (DSS) framework that integrates multi-source data. Specifically, this study combines financial data from the Crunchbase platform with company-related social media news data from Twitter. The BERTweet model is used to perform sentiment analysis on the social media texts, extracting sentiment features such as polarity and intensity to capture public attitudes and expectations toward the company. Subsequently, financial indicators, social media numerical features, and sentiment features are combined to construct a decision support system for predicting financing success using a deep neural network (DNN). Experimental results show that the decision support system incorporating social media data significantly outperforms traditional decision support systems in prediction accuracy, with sentiment features further enhancing the model’s ability to identify a company’s financing performance. Our study provides strong support for understanding the profound influence of public sentiment, offering practical guidance for startups to optimize financing strategies and for investors to make informed decisions. Full article

This study examined the effects of information literacy (IL) on entrepreneurial intention and entrepreneurial skills among business students in Sargodha, Pakistan. A quantitative research design was employed along with a survey method. The data were gathered using a structured and self-administered questionnaire to collect data from a sample of 277 students, recruited through a convenient sampling process. Data analysis involved the application of descriptive and inferential statistics in SPSS (Version 21). The results suggested that the business students’ IL levels were not optimal, with no significant differences noted based on age, gender, semester, and academic disciplines. However, IL skills showed a positive correlation with students’ CGPA. The results also showed that IL had a positive effect on entrepreneurial intentions and entrepreneurial skills. In essence, students with higher levels of IL tended to exhibit better entrepreneurial intention and skills compared to those with lower IL levels. These results inform educators and policymakers in shaping policies and practices for business education in general and entrepreneurial education in particular. This research would be a valuable addition to the existing body of knowledge on IL research in the context of academia in general and business and entrepreneurial education in particular, as a limited number of studies have appeared in the existing literature. Full article

The fashion industry represents a dynamic expression of cultural diversity and plays a crucial role in national economic health. This research designs strategic management guidance for BANU, a sustainable clothing startup in Senegal aimed at empowering local families to improve their lifestyles. Utilizing an exploratory research strategy, the study develops a comprehensive strategic plan for BANU as a natural textile dyes company, examining factors influencing its development at the macro, micro, and organization layers to identify key strategic issues and strategic options as a comprehensive strategic management plan for BANU to grow. A multifaceted strategic approach is recommended, including tailored operational strategies aligned with local traditions, sustainability, and customer engagement. Collaborations with local businesses, suppliers, and educational institutions are advised to strengthen BANU’s market presence. Additionally, differentiation through unique natural dye clothing and partnerships are encouraged. As BANU evolves, a shift towards corporate strategy, diversification, and international market expansion is suggested to enhance strategic management and ensure sustainable growth. Full article

Social embeddedness describes the extent to which firms are integrated into a social network in different situations and is an important concept in the entrepreneurship literature. Much of the existing research on embeddedness focuses on how entrepreneurs integrate into their host countries or the business activities of transnational entrepreneurs who operate across both their host and home countries. While a limited number of studies have examined sustainable entrepreneurs, previous studies have not sufficiently examined the nature of entrepreneurs’ social embeddedness and its effect on their sustainable entrepreneurial activities. This study seeks to understand how sustainable entrepreneurs utilize their social embeddedness when navigating business challenges. This study followed a multiple-case study approach based on data collected from in-depth inquiries into eight founders of sustainable startups in Nigeria. The findings show that sustainable entrepreneurs use social embeddedness as a strategy to navigate challenges encountered at different stages of their business. The findings make a theoretical contribution by describing how sustainable entrepreneurs use social embeddedness as a strategy to navigate business challenges in a developing country context. The findings offer implications for policymakers of emerging economies and sustainable entrepreneurship support organizations. Full article

The emergence of InsurTech has significantly transformed the traditional insurance industry, leading to the development of a new ecosystem characterized by digital intermediation, strategic partnerships, and increasing interdependence among actors. This paper investigates the structural configuration of the InsurTech ecosystem, emphasizing its role in reshaping how value is created, delivered, and captured across the industry. Based on a sample of 364 active InsurTech firms from 2020 to 2023, the research employs network analysis to map the interactions and co-occurrences among seven defined archetypes: Enablers, Innovators, Connectors, Integrators, Protectors, Transformers, and Disruptors. The findings reveal a trend toward higher density and functional complementarity among archetypes by providing a framework for understanding the dynamics of the InsurTech ecosystem and the strategic implications. Building on these findings, this paper introduces a novel five-phase framework for understanding the ecosystem’s evolution: (1) digitalization and technologies, (2) customer-centric approach, (3) data and analytics, (4) platform-based business models, and (5) ecosystem partnerships. This research advances the theoretical understanding of InsurTech as a networked system of role-based interdependencies and provides a methodological approach to analyzing this scenario through network theory. Furthermore, it contributes to academic discourse and industry practice, offering practical guidance for insurers, startups, and policymakers by enabling actionable insights into the strategic positioning of InsurTech archetypes within the evolving insurance industry landscape. Full article

Over the past years, the biopharmaceutical industry has been marked by substantial growth, with key players dominating market sales. A major change in research and development is the onset of digital twin (DT) technology in manufacturing. This work gives an overview of the market and major stakeholders, such as contract development and manufacturing organizations (CDMOs), regulatory bodies, and academia, their functions, and challenges. Fundamental concepts and definitions are reviewed and serve as an overview of the challenges ahead of the full adaptation of DTs in manufacturing. Using established market analysis tools, the environment is analyzed, and a business case is developed. Opportunities and threats for small startups and larger pharmaceutical companies to gain a competitive edge are analyzed and evaluated. Even small groups of 4–16 employees enable significant margins at a return on investment of less than 1 year. Full article

In the sustainable evolution of the entrepreneurial ecosystem, the efficiency of early-stage capital allocation directly affects the intergenerational transmission capacity of innovation resources. The financing barriers caused by information asymmetry urgently require institutional solutions. This study, based on tracking data from 19,463 startups in China’s information technology sector (2016–2019), analyzes how government-certified incubators (GCIs) optimize the sustainability of the entrepreneurial ecosystem through signaling mechanisms. The empirical results show that collaboration with a GCI can significantly increase the likelihood of IT startups securing venture capital by approximately 25%. This effect is not only due to the strict screening and resource support provided by GCIs, but also due to their role in amplifying internal signals from startups, such as the experience of founders and intellectual property. Notably, in the IT sector, the impact of GCIs is more significant for startups traditionally disadvantaged, particularly those led by female founders. Our research demonstrates that GCIs drive the sustainable development of the entrepreneurial ecosystem through three signaling mechanisms: (1) institutional certification screening, which optimizes the intergenerational allocation efficiency of ecosystem resources; (2) the signaling validation–amplification mechanism, which enhances the value of intellectual property and founder experience, alleviating investors’ challenges in quantifying startup potential; (3) inclusive signal rebalancing, where GCI certification significantly improves the funding success rate of female founders, breaking traditional market biases in screening disadvantaged groups and supporting the inclusive and sustainable development of the entrepreneurial ecosystem. These findings provide a new pathway for emerging economies to optimize the resilience of their entrepreneurial ecosystems through policy tools: for governments, GCIs achieve sustainable development goals at low institutional cost; for investors, the signal integration mechanism reduces investment information friction; and for entrepreneurs, certification endorsements accelerate market validation of sustainable business models. Full article