The Lean Startup methodology, with its emphasis on Build-Measure-Learn cycles and minimum viable products (MVPs), has become a cornerstone of modern entrepreneurship education. However, its direct application within vocational-technical universities faces significant challenges, as it was originally designed for resource-abundant, high-tech startup contexts. This study investigates the specific adaptation needs of the Lean Startup approach for vocational-technical students, whose projects are often characterized by service-oriented, community-based, and skill-driven ideas with limited resources. Conducted as a case study at Shanghai Zhongqiao Vocational and Technical University, this research employed an action research approach within an innovation and entrepreneurship course. Data was collected through participant observation, analysis of student project iterations, and in-depth interviews with students and instructors. The findings identify three primary areas of misfit and propose targeted adaptations. First, the traditional customer discovery process was reframed as "community-embedded validation," guiding students to leverage their immediate campus and local communities as accessible testbeds for gathering authentic feedback. Second, the concept of an MVP was expanded beyond digital products to include "service-based MVPs" and "skill-demonstration MVPs," such as offering a prototype service or creating a portfolio of work, which more accurately reflects the students' capabilities and project types. Third, the pedagogical approach to "pivoting" was softened to "directional adjustment," reducing the perceived stigma of failure and encouraging iterative, small-scale changes. The results demonstrate that these adaptations led to higher student engagement, a greater sense of feasibility, and the development of more resilient and market-aware business concepts. This study concludes that for the Lean Startup methodology to be effective in vocational-technical education, it must be contextually tailored. The proposed adaptation framework provides a practical and theoretically informed model for educators seeking to bridge the gap between a seminal entrepreneurial theory and the unique learning needs of their students.

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.

This conceptual study tackles the digital-adoption gap in Jakarta's kos-kosan boarding-house rooms, where landlords managing 5–20 units still juggle paper ledgers despite near-universal smartphone and WhatsApp use. Guided by the Technology Acceptance Model (TAM), Lean Start-up logic, and the Business Model Canvas (BMC), this research develops an integrated theoretical framework that explains behavioral hesitancy, sequences low-risk Minimum Viable Product (MVP) iterations, and pinpoints the "missing-middle" niche for a boarding house management platform. The proposed framework positions TAM to surface core drivers (perceived usefulness and ease of use) recast for WhatsApp-first workflows. Lean Start-up methodology will then map these insights into quick, feedback-rich MVP cycles tuned to resource-constrained settings. BMC will situate the validated feature set in a defendable market position underserved by premium PropTech and ultra-basic bots. This conceptual foundation establishes the theoretical groundwork for future empirical phases, which will combine stakeholder interviews and platform benchmarking to diagnose pain points, quantify adoption triggers, and refine the MVP and business model through qualitative fieldwork and pilot deployments. By linking behavior, experimentation, and strategy, this study lays a theory-driven pathway toward inclusive digital transformation in informal housing in emerging economies, with empirical validation planned for subsequent research phases.

Huejutla de Reyes, located in the Huasteca region of the state of Hidalgo, Mexico, has established itself as a leading regional cultural tourism destination and is recognized nationally. In 2024 alone, it received 350,000 visitors (Hernández, 2024). The existing accommodations are overwhelmed by demand, so this project aims to compile the various lodging options available in the region. Using the Lean Startup methodology, a Minimum Viable Product (MVP) is being developed: Calli, which means "house" in nahuatl, is conceived as an inclusive and secure technological solution that will allow individuals in the municipality and the region to register and promote their lodging offerings.

Purpose The construction industry is undergoing a transformation driven by the need to optimize workflow, maximize value and eliminate waste – principles outlined in the transformation-flow-value (TFV) model, widely regarded as the theoretical cornerstone of Lean Construction. Lean Construction 4.0 builds upon these principles by integrating advanced technologies and digitalization to create a more efficient, responsive and human-centered construction process. Within this context, autonomous inspection robot systems hold immense potential to transform the construction industry by automating essential tasks that are often hazardous and non-value-adding. Design/methodology/approach This paper introduces a human-centered design framework for autonomous inspection robot systems, which is validated through a case study, addressing the need for human-centered design, value-driven development, adaptability and information flow management in robot-driven system development. Findings A case study demonstrates the framework's application, showing that the robot inspection system significantly improved usability, enhanced information flow efficiency, minimized human involvement in hazardous inspection tasks and increased value generation. Originality/value The framework integrates principles of human-centered design, lean startup methodology and agile development, guiding developers through four distinct phases: empathize and define, ideate and prototype, develop and deploy and monitor and improve.

Purpose Although the relevant literature acknowledges the effectiveness of the Lean methodology in stimulating green innovation, it has not sufficiently tested the mediating roles of financial resources and patents, particularly within the European startup context. To bridge this gap, this study suggests a unique conceptual framework to examine the effect of Lean Startup methodology on the development of eco-innovation, particularly eco-processes and eco-products, while investigating the mediating roles of financial resources and patents in shaping these relationships. Design/methodology/approach This study adopts a quantitative, cross-sectional survey design. Data were collected through a structured questionnaire from 120 European startups across various sectors. The analysis was conducted using SmartPLS 4 with partial least squares structural equation modeling (PLS-SEM). Findings The results show that Lean Startup application has a direct positive effect on eco-product innovation. Its influence on eco-process innovation is indirect, fully mediated by financial resources. Patents, however, were not found to mediate the relationship between Lean Startup application and either eco-process or eco-product innovation. Additionally, a significant positive relationship was found between eco-process and eco-product innovations. Originality/value The findings provide novel visions into the literature on the role of the lean startup methodology in advancing green innovation, thus contributing to both entrepreneurial practice and policy making that aimed to promote sustainable development within the startup ecosystem.

This study presents a comprehensive bibliometric analysis of the emerging intersection between artificial intelligence (AI) and lean startup methodology. Using the PRISMA 2020 framework, we systematically analyzed 12 peer-reviewed articles published between 2010 and June 2025, sourced from the Scopus database. The analysis employed VOS viewer software to conduct co-authorship, keyword co-occurrence, and citation network analyses. Results reveal three distinct research clusters: operational integration of AI within startup experimentation processes, AI-enhanced learning systems for entrepreneurial contexts, and strategic implications of AI for uncertainty management in startups. The findings indicate a nascent research domain characterized by fragmented authorship networks, limited international collaboration, and geographic concentration in developed economies, particularly the United States and Germany. Key research themes include business model innovation, iterative methods, and machine learning applications, with artificial intelligence serving as a bridging concept across thematic clusters. The analysis identifies significant research gaps in ethical considerations, cross-cultural validation, and empirical testing of AI-enabled lean startup frameworks. While current research demonstrates growing interest in AI integration within entrepreneurial experimentation, the field requires enhanced theoretical consolidation, methodological rigor, and interdisciplinary collaboration to achieve practical relevance and academic maturity. This study contributes to the emerging discourse on digital entrepreneurship by providing a systematic overview of research trends and identifying priority areas for future investigation at the intersection of AI and lean startup methodologies.

This study explores the changes in the food industry due to the emergence of cloud kitchens. This research paper will investigate whether cloud kitchens offer a more sustainable, accessible, and profitable business model compared to traditional restaurants in emerging markets. This will be determined using a mix of secondary data and a case study, Bento, an emerging cloud kitchen in Jeddah, Saudi Arabia. Findingsindicate that cloud kitchens enhance Profitability and accessibility, but they lack Sustainability. These results are interpreted using Porter's cost leadership strategy, lean startup theory, and corporate social responsibility frameworks. Overall, cloud kitchens are an example of a business model that aligns with the Saudi Vision 2030 goals.

The Kenya Agricultural Marketing Strategy (AMS) 2023-2032 highlights on leveraging digital technologies to enhance market access for smallholder farmers by integrating mobile applications and e-commerce platforms into the agricultural landscape. Yet, implementation of these technologies among smallholder farmers in Sub-Saharan Africa (SSA) remains a challenge. This paper analyzes the role of stakeholder involvement in the development process and implementation of agri e-commerce platforms in Kenya. A participatory action research (PAR) design was adopted, integrating Design Thinking, Lean Startup, and Agile methodologies within the Agricultural Innovation Systems (AIS) framework. Data were collected through baseline and endline surveys bearing in mind the platform analytics through user interaction with the agri e-commerce platform. Results of the study indicate that participatory co-design significantly improved platform outcomes with users increasing by 88.9% at exit / endline survey. Average transaction time for farmers decreased by more than half while user satisfaction scores improved by 37.5%. Additionally, stakeholder participation levels increased by 46%, confirming that inclusive engagement and iterative feedback loops enhanced usability, adoption, and implementation success. Statistical t-tests further revealed that users with higher digital literacy achieved significantly greater implementation success (p < 0.05). This study was however limited to one county context and a single digital platform namely warumarket presenting difficulty in generalization of results to other regions. The findings underscore the value of participatory innovation frameworks for sustainable agri e-commerce adoption in developing regions.

Implementing Lean Startup (LS) and Lean Product Development (LPD) can significantly impact innovation when developing new products and, consequently, the manufacturing stage. This study empirically conducts ideation and value prospection phases to favor the manufacturing stage in a low-complexity system of meliponiculture (stingless beekeeping) through the lens of socio-technical system theory. A case study was conducted through three main phases (ideation, value prospection and learning) by employing seven lean practices and involving more than 160 participants in a survey to conduct hypothesis testing. The findings from the application of the questionnaire were obtained through Cronbach’s Alpha to assess the reliability and Chi-square to test the hypothesis. The study’s findings state the importance of socio-technical theory in a low-complexity system, integrating LS and LPD to develop sustainable, customer-centered, viable bee boxes and informative booklets. It addresses a solution to promote income generation for vulnerable coastal communities, considering the interaction between social and technical aspects essential to support the manufacturing stage ahead. The study provides a holistic perspective through the interplay of people, technologies and the environment in the initial stages of product development to anticipate promising scenarios for effective and efficient manufacturing processes.

This study addresses the limited involvement of university students in research activities, which reflects a significant gap in the development of key research competencies for their academic and professional advancement. Lack of involvement restricts essential skills such as problem formulation, rigorous data analysis and communication of findings, preventing students from generating relevant knowledge and meeting the challenges of their future careers. Through a systematic review of the literature on the development of research competencies in undergraduate students, using reliable sources such as Scielo, Dialnet and other academic journals, this study identified effective methodologies to foster such competencies. Rigorous exclusion criteria were applied to ensure the relevance and timeliness of the selected studies. In conclusion, educational strategies such as flipped learning and research workshops were found to have a positive impact on the development of research competences, enhancing both technical and transversal skills, such as innovation and critical thinking. These methodologies prepare students for academic and professional challenges and foster a research culture in educational institutions. This article explicitly identifies and synthesizes innovative educational strategies (flipped learning, Lean startup, and research workshops) that have a proven impact on strengthening both technical and transversal research competences in undergraduates in Latin America. This systematic approach and regional focus are not found in prior reviews.

Lean Startup for Grocery Stores: Risk Reduction & Cost Optimization

Assessing Lean Startup for sustainable business models: Application of the SAFE framework

This study empirically investigates the impact of social capital on the entrepreneurial performance of small business owners, focusing on the mediating effect of business model awareness. While previous research has predominantly focused on large corporations or SMEs in the context of business models, studies targeting small business owners remain limited. Despite being significant actors in the economy, small business owners often face constraints in resources and lack systematic approaches to respond to market changes. This study aims to examine how social capital influences entrepreneurial performance and whether business model awareness mediates this relationship. Data were collected from 144 small business owners using the Naver Office survey platform between September 21 and October 15, 2024. Regression and mediation analyses were conducted using SPSS 29.0. The results are as follows: First, social capital had a significant positive effect on business model awareness. Second, business model awareness positively influenced entrepreneurial performance. Third, the subdimensions of social capital—network and trust/norms—each showed significant positive effects on entrepreneurial performance. Lastly, business model awareness was found to have a partial mediating effect on the relationship between both subdimensions of social capital and entrepreneurial performance. This study highlights the importance of social capital in enhancing the entrepreneurial performance of small business owners and confirms the mediating role of business model awareness. From a practical perspective, the findings suggest that beyond financial support, small business owners need structured programs such as Business Model Canvas workshops and Lean Startup training, as well as strengthened networking events and collaborative activities.

Keywords Startup Development, Market Sizing, TAM, SAM, SOM, Blue Ocean Strategy, Lean Startup, MVP, A/B Testing, Pivot, Unit Economics, CAC, LTV, Churn Rate, Payback Period, Viral Coefficient, Network Effects, Venture Capital, Valuation, Dilution, Convertible Notes, Liquidity Preference, Exit Strategy ABSTRACT This paper provides a comprehensive mathematical analysis of startup development, distinguishing high-growth ventures from traditional small businesses. With technology startup failure rates approaching 90%, primarily due to a lack of market need, this study argues for a shift from intuition-based execution to quantitative validation. The research outlines a five-phase framework for survival: utilizing the TAM/SAM/SOM models for market sizing, applying Lean Startup methodologies for product validation, and optimizing Unit Economics through the LTV:CAC ratio. Furthermore, it explores the mechanics of exponential growth via the Viral Coefficient and Network Effects, alongside the financial implications of venture capital funding and dilution. Through theoretical analysis and real-world case studies of companies like Airbnb and Slack, this paper demonstrates that startup success is not merely a function of innovation, but a derivative of specific, optimizable economic variables.

Abstract Research Summary This study examines how academic entrepreneurs refine business ideas in response to external critique and how these responses relate to performance. We develop a framework that links feedback (critique), business‐idea changes (pivots), and performance, and test it using detailed data on external stakeholder feedback, changes to the business idea's core and periphery, and commercialization outcomes in 316 academic‐led teams. We find that academic entrepreneurs frequently modify their business idea's core in response to negative feedback, and that core changes—rather than peripheral ones—are positively associated with commercialization. Challenging the idea that all entrepreneurs are inertial, we find that academic entrepreneurs both actively embrace and benefit from changes to the business idea's core. By tracing the feedback‐response dynamics of business idea components, our study adds granularity to research on pivoting. Managerial Summary Entrepreneurs often face a choice between reworking the core of a business idea and making changes to its periphery. Analyzing 316 academic‐led teams seeking to commercialize technologies using the Lean Startup Method, we find that academic‐led teams frequently change their idea's core in response to negative feedback—and that only core changes, rather than peripheral changes, are linked to improved commercialization outcomes. Overall, the results show the effectiveness of the Lean Startup Method and demonstrate that focusing feedback on the core of the business idea is an effective way to provide feedback to academic entrepreneurs.

This paper critically reviews the literature on management innovation and its role in bridging the gap between rigid policy frameworks and dynamic business operations. Traditional approaches, such as the Stage-Gate model, provide structure and accountability but often limit flexibility, making it difficult for businesses to adapt to rapidly changing environments. On the other hand, flexible and adaptive management systems support innovation, including decentralized decision-making and iterative development methods that maintain compliance with policy requirements.This paper shows how the management of innovation can take the regulatory burden into account without affecting operational responsiveness, using frameworks like incremental versus radical innovation and the S-curve model. Drawing on contemporary concepts of open innovation and lean startup methodologies, the review also illustrates practical strategies for balancing policy stability with business responsiveness

Abstract Meditation has been a cornerstone of Buddhism for millennia, yet its adoption in Western culture increasingly intertwines spirituality with digital technologies. Neuro-meditation devices, which employ neurofeedback and brain stimulation to enhance meditative states, are now promoted as tools that democratize meditation by flattening its learning curve and enabling real‐time progress tracking. However, these innovations raise profound epistemic and ethical concerns about redefining meditation’s purpose and meaning. This paper employs Critical Technocultural Discourse Analysis to examine neuro-meditation technologies as computational artifacts embedded within complex social, political, and economic contexts. By analyzing the interplay among products, developers, and users, the study situates these devices within the broader trend of digital self-representation, particularly the emergence of human digital twins that mediate real-time biometric data. The analysis interrogates how framing meditation as an optimized, quantifiable process aligns more with Lean Startup logic that prioritizes efficiency and scalability than with Buddhist teachings. In contrast to traditional contemplative practices rooted in introspection and transformative insight, such commodification risks reducing meditation to an exercise in brainwave regulation. Drawing on critiques of Technological Solutionism, McMindfulness, the Quantified-self, and the Neuronal-Self, this paper critically evaluates the implications of this shift, arguing that while neuro-meditation devices may offer immediate gratification and accessibility, they may also undermine the profound, immeasurable dimensions of spiritual experiences. Ultimately, the study calls for a more nuanced integration of technology and spirituality—one that preserves meditation's transformative essence while engaging thoughtfully with digital innovations.

This study examines the entrepreneurial skills business undergraduates develop through digital prototyping tools in an experiential learning environment, addressing the limited understanding of what specific entrepreneurial skills are cultivated and how they are developed in entrepreneurship education. Thematic analysis of 57 student reflections from a Lean Startup methodology unit within a business degree program at an Australian university identified specific entrepreneurial skills and mapped them to Kolb’s experiential learning cycle. The findings reveal three core entrepreneurial skills: strategic thinking and decision-making, resourcefulness and adaptability, and innovation and problem-solving. These skills are supported by six skill pillars and 37 specific skill attributes. Reflective Observation aligns with all three core skills, while Abstract Conceptualization supports strategic thinking and resourcefulness, as students apply theoretical insights to refine strategies and make data-driven decisions. Concrete Experience and Active Experimentation primarily drive innovation and problem-solving, fostering hands-on and iterative engagement through digital prototyping. The alignment of entrepreneurial skills with Kolb’s experiential learning cycle provides a framework for designing targeted, practical learning activities. Higher education institutions can use these insights to enhance entrepreneurship curricula by integrating digital tools that bridge the gap between theory and practice and cultivate industry-relevant entrepreneurial skills.

ABSTRACT The commercialization of novel chemical process technologies is frequently impeded by the valley of death, a critical gap between promising laboratory‐scale discovery and economically viable industrial production. This gap is largely defined by the prohibitive capital cost, extended timelines, and significant risk associated with traditional pilot plants. To bridge this gap, this paper introduces the Minimum Viable Pilot Plant (MVPP) framework: a lean, hypothesis‐driven approach to de‐risking process technologies through targeted, capital‐efficient experimentation. Grounded in both historical engineering practice and lean startup principles, the MVPP formalizes a reproducible method for maximizing the learning‐to‐capital ratio and generating high‐fidelity data to validate the most critical techno‐economic assumptions. Instead of replicating a full‐scale plant, the MVPP isolates and tests the single riskiest process element using minimal hardware. Its iterative application enables progressive de‐risking of complex, system‐level challenges. Illustrative case studies are presented to demonstrate how the MVPP model accelerates technology validation, reduces investment barriers, and democratizes innovation in the chemical industry. While the MVPP is a promising tool, it is not a panacea. Nevertheless, it can accelerate commercial chemical process innovation, particularly in resource‐constrained environments, and it opens opportunities for further studies.