Search Results (136)

Organizations are under constant strain to substitute the traditional ETL pipelines and monolithic warehouses for the dynamic cloud-native modular architectures. Despite rapid adoption, the Modern Data Stack (MDS) literature remains fragmented: lakehouse, mesh, and fabric paradigms are studied in isolation, and no prior review has linked component-level decisions to organizational maturity. This systematic review addresses that gap. Following PRISMA 2020 guidelines across six databases, 650 records were screened and 141 studies were retained for thematic synthesis (the corpus was peer-reviewed, with a small number of primary-source technical preprints screening was performed primarily by one reviewer; a 10% double-screened sample yielded Cohen’s κ = 0.81). Six functional layers (ingestion, storage, transformation, orchestration, analytics, and observability/governance) and four dominant architectural patterns (cloud warehouse, lakehouse, data mesh, and data fabric) were identified. Components were evaluated against five criteria—scalability, cost efficiency, vendor neutrality, learning curve, and business impact—across three organizational archetypes (startup, SME, and enterprise). A three-phase maturity model (Foundation, Extension, Consolidation), a five-stage iterative implementation cycle, and a RACI governance matrix constitute the resulting strategic framework. Governance emerged as simultaneously the least-adopted layer in the corpus and the most consequential for long-run adoption success. The framework is propositional; empirical validation through an expert Delphi study, multi-case longitudinal analysis, and an AHP-based practitioner survey are planned as future work. Full article

The promotion of rapidly scaling technology startups has become a major policy priority. Sustainable startups are increasingly viewed as potential contributors to resilient and environmentally responsible economies, as they may combine economic growth with environmental and social objectives. Based on entrepreneurial ecosystem theory, the resource-based view, and Schumpeterian creative destruction, this study identifies innovation ecosystem conditions associated with sustainable startup growth. Turnover growth is used as a proxy for the economic pillar of the Triple Bottom Line framework and as a measure of startup scaling capacity. K-means clustering is applied to identify distinct growth profiles. To analyse relationships between startup growth and innovation ecosystem variables, the study employs a multi-method semiparametric framework. The results show multifaceted associations between ecosystem factors and startup growth. Market access and human capital are positively associated with global business models and innovation, while sectoral relatedness and knowledge spillovers may show negative associations, potentially through stronger competition and higher talent acquisition costs. Venture capital is positively associated with startup growth, whereas public R&D investment and direct government funding show no consistent positive relationship. The study is limited by using financial growth as a proxy for economic sustainability and by focusing on four European innovation ecosystems. Full article

While digital communication is critical for business growth, there is a notable lack of research concerning the specific digital and corporate strategies of bio-health start-ups in regional ecosystems like Andalusia. This article addresses this gap by analysing the corporate and digital strategies of the leading bio-health start-ups at the Andalusian Health Technology Park. The research focuses on innovation in the health sector and builds on the broader discourse surrounding science communication as applied to Andalusian companies. Health innovation companies are implementing their digital corporate strategies to raise their profile and reach their target audience. For Andalusian bio-health start-ups, the main focus is on their websites; this is why they are analysed here from different perspectives, with the aim of evaluating the information they share and its effectiveness. To this end, a mixed approach combining quantitative and qualitative content analysis is proposed, and data analysis tools are applied to web traffic and performance factors, as well as to the analysis of corporate culture and brand identity. The results indicate that these companies are consistent with digital communication strategies typical of B2B models, that is, emerging and highly specialised companies. In the corporate sphere, there is generally a strong focus on positioning within a framework that fosters organisational culture, employee recognition and the key elements of effective brand architecture. Full article

This article examines how smart cities can act as catalysts for enterprise development by integrating technological, infrastructural, governance and human capital dimensions into a coherent urban innovation ecosystem. Drawing on an extensive literature review, the study first conceptualizes smart cities as adaptive systems that combine physical infrastructure, digital data layers, and institutional frameworks, creating conditions for knowledge spillovers, entrepreneurial opportunities, and business model innovation. Empirically, the research is based on an expert survey conducted among 54 specialists from academia, business, and public administration, who assessed the importance of technological, infrastructural, governance, innovation ecosystem, and human capital factors for enterprise development in the context of smart cities. The results suggest that advanced digital technologies, smart infrastructure, open data, R&D support, startup programs and talent development are perceived by experts as key, mutually complementary drivers of firms’ innovation, efficiency, sustainable growth, and competitiveness, with notable differences between expert groups. On this basis, the study proposes a synthetic model of relationships and impact pathways linking smart city components with enterprise outcomes. The paper concludes with a discussion of the study’s limitations, related to the expert-based, country-specific, and perceptional character of the data, and outlines directions for further quantitative and qualitative research on the firm-level effects of smart city development. Full article

In the context of the digital economy as a driver of economic transformation, digital enterprises have become pivotal actors in value creation and innovation. A conducive business environment is essential for enhancing productivity, competitiveness, and the long-term resilience of entrepreneurial ecosystems. However, the mechanisms through which this environment influences the entry of newborn digital enterprises, a core indicator of sustainable economic activity, remain inadequately explored. This paper develops a government-led business environment index based on three dimensions: the legal environment, the governmental affairs environment, and public services. Using panel data from 35 major Chinese cities spanning 2016 to 2020, we employ a negative binomial regression model to examine how both the overall business environment and its sub-dimensions affect the entry of newborn digital enterprises. The findings reveal that an overall improvement in the urban business environment significantly promotes the entry of newborn digital enterprises and that all three sub-dimensions, namely the legal environment, governmental affairs environment, and public services, collectively facilitate this process. The principal implication is that local governments should focus on the balanced optimization of all business environment elements. Such policies not only stimulate digital startup formation but also contribute to high-quality, resilient, and economically sustainable urban development. Full article

The Air-front Smart City (ASC) concept is proposed to address the stagnation of industries in developed countries and stimulate economic growth in developing countries while maintaining a higher quality of life for people and contributing to decarbonization and overall United Nations SDGs in an existing study. However, no studies have been conducted to assess ASC policies. Therefore, this study integrates the integrated accessibility index into the quality of life (QOL) and quality of business (QOB) evaluation models to assess the startup ecosystem in Aichi, Singapore, and Munich within the ASC concept. The study uses survey data conducted in Aichi to estimate monetary values of QOL and QOB component indicators, calculates the integrated accessibility indices, and estimates QOL and QOB. Furthermore, the study sets scenarios to assess the impacts of living and business urban policies in Aichi. Additionally, the study using Aichi parameters compares the startup ecosystem in Singapore and Munich. The result shows that the key drivers of startup attraction are corporate tax rate, economic growth, and safety; enhancing these indicators directly increases startups’ QOB, business partners, and residents’ QOL. It was found that QOB in Singapore is comparatively higher, whereas QOL is higher in Aichi. Full article

The objective of this study is to develop and incorporate a multidisciplinary engineering design experience into an academic success and professional development course that aims to retain non-calculus-ready first-year engineering students. The project followed the five-step engineering design process using knowledge from multiple engineering disciplines. Students were tasked to design a scale model of a safe, sustainable, and cost-efficient oil derrick with PASCO kits, engage in discussion to consider societal, global, cultural, and further factors in design, practice an elevator pitch with entrepreneurship specialists from the university start-up incubator, and present the final design to a multidisciplinary judge panel from academia and industry in engineering, math, social science, and business at a Poster Expo. This project-based learning aligned with the student outcomes of ABET and the Engineering for One Planet framework for sustainability education in engineering. Opportunities and challenges of this multidisciplinary learning experience were analyzed using triangulated data sources from student course performance, a student perception survey (N = 16; Cronbach’s α = 0.959), and student retention data. Results showed a positive student learning experience with 88% of students reporting that the multidisciplinary design experience was positive to their learning and increased their interest in engineering. Ninety-four percent of student retention in engineering was reported by the end of the semester (N = 17). Full article

This study analysed the role of risk perception and business self-efficacy feeling through entrepreneurial education acquired by higher specialised studies on the emergence of entrepreneurial intentions. The quantitative research method included a questionnaire measured on a Likert scale, which was used to collect data from high school and university students from educational institutions with an economic profile in Romania. The evaluation of the model proposed in this study and the testing of the hypotheses postulated was performed through structural equation modelling (SEM). Our findings indicated that the role of risk perception and the self-efficacy feeling acquired through entrepreneurial education have a direct positive and statistically significant impact on entrepreneurial intentions. In the context of the growing relevance of sustainability-oriented entrepreneurship, this study aims to examine how entrepreneurship education fosters sustainable entrepreneurial intentions among young people. Thus, the importance of entrepreneurial education (EE) on entrepreneurial intentions among high school and university students in Romania was confirmed. This study is to investigate how entrepreneurship education encourages sustainability-oriented entrepreneurial intents among young people in light of the growing significance of sustainable entrepreneurial intentions. Full article

Start-ups, as newly established firms centred on innovative ideas, rely heavily on their capacity for innovation from the earliest stages. This study examines the determinants of innovation in Polish start-ups, addressing a gap in research regarding the factors that shape innovative activity in this context. Survey data were collected from 200 Polish start-ups, and multivariate regression analysis was applied to assess both internal and external influences, including founders’ business experience, team mobility, educational background, company reputation, financial resources, partnerships, and participation in regional innovation ecosystems. Using generalized additive models, the study reveals nonlinear and saturating effects of experience and ecosystem engagement on start-up innovation. The results indicate that founders’ years of business experience and the extent of ecosystem partnerships are significant predictors of innovation. Collaborations with universities and research institutions have a stronger impact on disruptive innovation than partnerships with suppliers or clients. Access to financial resources, particularly in early stages, supports R&D activities and competitive advantage. These findings suggest that innovation drivers are context-dependent, with regional infrastructure such as incubators, educational support, and ecosystem engagement playing important roles. The study contributes to understanding how individual entrepreneurial characteristics interact with external conditions to foster innovation and provides insights for policymakers and stakeholders seeking to enhance start-up innovation and economic growth. Full article

The business model canvas (BMC) is broadly used in entrepreneurship education as a trusted, practical tool for mapping out a company’s business model. Although the BMC helps students to obtain a quick overview of business operations, in practice, entrepreneurs need to adapt and change their business operations constantly in order to grow and remain viable. These changes in a business model are represented by business model innovation (BMI), but frameworks that capture changes in operations are not well developed. Hence, there is a need to present the dynamics of business model innovation through a dynamic business model framework. In this paper, we followed the experiential learning approach and focused on teaching BMI through applying and analyzing BMI in real start-up cases. We applied a two-phase research design by first asking students to apply and analyze the BMI of real start-ups using both the current business model canvas and the proposed dynamic business model framework. Following their analyses, master’s students were administered a survey to assess the benefits of the proposed dynamic business model framework. The results show that the current business model canvas has limitations in capturing the dynamics of BMI, which can be addressed by our proposed dynamic business model framework. The proposed framework can improve students’ level of understanding of BMI and, in particular, its dynamic nature. Full article

Artificial Intelligence (AI) will drastically change the way entrepreneurs operate within their respective fields toward sustainable performance. However, although we have some data about how companies will adopt AI and how it is implemented, it is still an under-studied area of research. The goal of this study was to examine the antecedents and consequences of AI Adoption using the Technology–Organization–Environment (TOE) model and Unified Theory of Acceptance and Use of Technology (UTAUT). The researchers collected data from 207 entrepreneurial businesses (including SMEs, startups, and knowledge-based businesses) using a structured questionnaire and analyzed the data using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 3. The study’s findings suggest that facilitating conditions, social influences, and competitive pressures are all important positive factors contributing to the firm’s decision on AI Adoption. On the other hand, the data indicate that performance expectancy is a negative factor related to the company’s decision to adopt because of the “reality check” influence of the initial implementation challenges diminishing ease of use. It is also important to mention that several internal factors including effort expectancy and top management support do not have a direct influence. Most importantly, however, the results show that AI Adoption provides companies with an opportunity for strategic renewal (opportunities) and sustainable business models (holistic sustainability). Also, this research provides insight into the Resource-Based View (RBV) and Dynamic Capabilities (DC) theory by showing that AI Adoption creates a significant competitive advantage for companies, making them more successful at creating entrepreneurial and technology-based firms, while providing them increased economic, environmental, and social performance. In conclusion, AI Adoption is a major game-changer for entrepreneurs interested in sustainable practices and the ability to achieve successful, holistic, and sustainable business performance. Full article

This study establishes a comprehensive structural isomorphism between Conway’s Game of Life and the entrepreneurial process, analysing the latter as a complex adaptive system governed by non-linear dynamics rather than linear predictability. Through a rigorous qualitative approach based on a systematic literature review and abductive inference, the research identifies and correlates four fundamental dimensions: uncertainty, adaptability, growth, and sustainability. Transcending traditional metaphorical comparisons, this paper introduces a novel mathematical model that modifies Conway’s deterministic logic by incorporating an «Agency» variable (A). This critical addition quantifies how an entrepreneur’s internal capabilities can counterbalance environmental pressures (neighbourhood density) to determine survival thresholds, effectively transforming the simulation into a «Game of Life with Agency» where participants actively influence their viability potential (Ψ). The analysis explicitly correlates specific algorithmic configurations with real-world business phenomena: high-entropy initial states («The Soup») mirror early-stage market uncertainty where outcomes are probabilistic; «gliders» represent the necessity of strategic pivoting and continuous displacement for survival; and «oscillators» symbolise dynamic sustainability through rhythmic equilibrium rather than static permanence. Furthermore, the study validates the «Gosper Glider Gun» pattern as a model for scalable, generative growth. By bridging abstract systems theory with managerial practice, the research positions these simulations as «mental laboratories» for decision-making. The findings theoretically validate iterative methodologies like the Lean Startup and conclude that successful entrepreneurship operates on the «Edge of Chaos», providing a rigorous framework for navigating high stochastic uncertainty. Full article

Despite the growing role of business incubators in fostering digital startups in emerging economies, the mechanism through which business incubator characteristics, specifically relational capital and structural embeddedness, influence startup innovation performance remains underexplored, particularly in the context of open innovation practices. This study examines how relational capital and structural embeddedness of business incubators affect the innovation performance of digital startups in Indonesia, with open innovation as a moderating variable. Using a cross-sectional survey design, data were collected from 201 startup owners or managers in Jakarta, West Java, and Banten. Partial Least Squares Structural equation modelling (PLS-SEM) was employed to test the hypothesized relationship. The results indicate that relational capital significantly enhances both innovation performance and structural embeddedness. However, structural embeddedness does not directly affect innovation performance nor mediate the link between relational capital and innovation. Notably, open innovation significantly moderates the relationship between structural embeddedness and innovation performance. This study contributes by integrating relational capital, structural embeddedness, and open innovation into a coherent framework within the underexplored context of Indonesian digital startups. The findings reveal that while relational capital is crucial, structural embeddedness alone is insufficient without active open innovation practices, offering nuanced insights for incubator management in emerging economies. Full article

Sustainable transport innovation often faces funding gaps, as traditional public and private sources rarely support early-stage or high-risk initiatives. Crowdfunding, enabled by digital transformation, is emerging as a complementary financing mechanism for this sector. This study presents a literature review combined with bibliometric mapping to examine the evolving research landscape on crowdfunding in transport. Three research questions guide the analysis: RQ1—What are the dominant research areas at the intersection of crowdfunding and transport? RQ2—What types of transport projects are financed via crowdfunding? RQ3—What research gaps and future directions emerge for transport innovation financing? Findings reveal three core research areas: (1) Sustainability and finance, (2) Fintech and blockchain, and (3) Management and consumer behavior. We propose a typology of crowdfunded transport projects comprising five categories: (1) Large-scale transport infrastructure, (2) Sustainable local mobility, (3) Innovative start-ups, (4) New business models, and (5) Advanced systems and technologies. This demonstrates crowdfunding’s versatility beyond traditional infrastructure, supporting high-risk innovations critical for decarbonization and technological transformation. The study highlights domain-specific challenges—such as integrating PPP models with digital finance and ensuring investor protection—and emphasizes crowdfunding’s role as an enabler of low-carbon transition aligned with global climate strategies (EU Green Deal, SDGs). Despite its potential, investor safety remains a major concern. Policy implications include sandbox regulation, standardized risk assessment, and operationalizing PPP–crowdfunding hybrids to unlock large-scale and innovative transport projects. Full article

This study investigates the transition to the circular economy (CE) model and its increasing application in industrial companies. The research context is the textile district of Prato, Tuscany region, that relies on a long historical tradition of CE application. Some industrial companies have been contacted, and their Administrators and CEOs have been interviewed, focusing on their understanding of the role of circular start-ups (CSUs) in the collaboration and relationships with large companies. The results show that this collaboration started for commercial purposes, since the companies interviewed in this study are producers of recycled yarns used by their customers, including CSUs, for the manufacturing of their garments. Over time, the collaboration further advanced, adding new types of interactions, characterized by environmentally and socially positive outcomes. This study shows that the collaboration between the small CSU Rifò and two of the largest companies of the Prato district as well as the outcomes in terms of environmental, energy and social benefits well extend over the micro, meso and macro levels of the CE model and reveal that the circular and sustainability performances of the selected CSU and its large partners are aligned with the goals of the district and the city of Prato towards consolidating themselves as a reference center of a CE and a circular city, respectively. This is an important result compared to the previous literature that encourages further future research to provide more generalizable results. Further, the case study of the Rifò regenerative circular business model shows the current “limits” of recycling and the need to thoroughly consider the CE model by implementing all CE principles and promoting a timeless and responsible fashion, conveying the emotional, environmental and social values behind garments. Full article