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Item type:Publication, Evaluación multicriterio de estrategias de crecimiento en el sector artesanal: evidencia empírica mediante el método COPRASEl estudio aplica el método COPRAS (Complex Proportional Assessment) para la selección colectiva de estrategias de expansión en emprendimientos artesanales, integrando criterios económicos, operativos y de mercado. Participaron treinta emprendedores que evaluaron cuatro alternativas: expansión por comercio electrónico, alianza con distribuidores locales, licencia a terceros y apertura de tienda física piloto. A partir de una matriz de decisión grupal y la asignación de pesos individuales, se calcularon las utilidades y el ranking de alternativas. Los resultados muestran que la expansión por comercio electrónico (A₂) obtuvo la mayor utilidad relativa (U2 = 100 %), validada por un alto nivel de concordancia grupal (W = 0.71, p < 0.001) y una estabilidad del 89% en el análisis de sensibilidad. Estos hallazgos indican que la digitalización constituye la estrategia más eficiente, sostenible y robusta para el crecimiento del sector artesanal, al equilibrar rentabilidad, inversión y riesgo. El estudio contribuye metodológicamente al campo de los métodos multicriterio aplicados al emprendimiento y ofrece implicaciones prácticas para el diseño de políticas públicas y programas de fortalecimiento productivo orientados a la transformación digital. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Capacitación transformadora: evidencia del efecto formativo en emprendedores ecuatorianos(Universidad UTE, 2026-02-10); Maria Bethania Felix LopezEl presente trabajo analiza el impacto de dos acciones formativas —Gestión Financiera para MYPES e Innovación y Diseño de Modelos de Negocio— dirigidas a emprendedores de la provincia de Pichincha, Ecuador. La investigación responde a la necesidad de fortalecer capacidades en gestión, financiamiento e innovación, frente a un ecosistema emprendedor marcado por alta mortalidad empresarial y baja incorporación de tecnología. Se adoptó un diseño cuantitativo, no experimental y transversal, con aplicación de pruebas psicométricas (α de Cronbach, ICC) y análisis de diferencias pre y post formación mediante la prueba de Wilcoxon. Los resultados evidencian mejoras significativas en el desempeño de los participantes en ambos cursos (p < 0.05), con mayor consistencia en el curso de finanzas (α = 0.796) frente al de innovación (α = 0.481). No se hallaron correlaciones significativas entre satisfacción y mejora de desempeño. Se concluye que la formación especializada fortalece competencias clave para la sostenibilidad empresarial, aunque se requiere mejorar la calidad técnica de los instrumentos de evaluación y ampliar el enfoque hacia impactos de largo plazo. El estudio aporta evidencia empírica sobre el valor estratégico de la educación emprendedora como herramienta para el desarrollo económico territorial. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Economic Convergence Analyses in Perspective: A Bibliometric Mapping and Its Strategic Implications (1982–2025)(MDPI AG, 2025-10-04); This study presents a bibliometric and thematic analysis of economic convergence analysis from 1982 to 2025, based on a corpus of 2924 Scopus-indexed articles. Using VOSviewer and the bibliometrix R package, this research maps the field’s intellectual structure, identifying five main thematic clusters: (1) formal statistical models, (2) institutional-contextual approaches, (3) theoretical–statistical foundations, (4) nonlinear historical dynamics, and (5) normative and policy assessments. These reflect a shift from descriptive to explanatory and prescriptive frameworks, with growing integration of sustainability, spatial analysis, and institutional factors. The most productive journals include Journal of Econometrics (121 articles), Applied Economics (117), and Journal of Cleaner Production (81), while seminal contributions by Quah, Im et al., and Levin et al. anchor the co-citation network. International collaboration is significant, with 25.99% of publications involving cross-country co-authorship, particularly in European and North American networks. The field has grown at a compound annual rate of 14.4%, accelerating after 2000 and peaking in 2022–2024, indicating sustained academic interest. These findings highlight the maturation of convergence analysis as a multidisciplinary domain. Practically, this study underscores the value of composite indicators and spatial econometric models for monitoring regional, environmental, and technological convergence—offering policymakers tools for inclusive growth, climate resilience, and innovation strategies. Moreover, the emergence of clusters around sustainability and digital transformation reveals fertile ground for future research at the intersection of transitions in energy, digital, and institutional domains and sustainable development (a broader sense of structural change). - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Digital Organizational Resilience in Latin American MSMEs: Entangled Socio-Technical Systems of People, Practices, and Data(MDPI AG, 2025-10-10); ; ; ; This study develops a systemic framework to conceptualize digital organizational resilience in micro, small, and medium-sized enterprises (MSMEs) as an emergent property of entangled socio-technical systems. Building on theories of distributed cognition, sociomateriality, and resilience engineering, this paper argues that resilience does not reside in isolated elements—such as leadership, technologies, or procedures—but in their dynamic interplay. Four interdependent dimensions—human, technological, organizational, and institutional—are identified as constitutive of resilience capacities. The research design is conceptual and exploratory in nature. Two theory-driven conceptual statements are formulated: first, that natural language mediation in human–machine interaction enhances coordination and adaptability; and second, that distributed cognition and prototyping practices strengthen collective problem-solving and adaptive capacity. These conceptual statements are not statistically tested but serve as conceptual anchors for the model and as guiding directions for future empirical studies. Empirical illustrations from Ecuadorian MSMEs ground the framework in practice. The evidence highlights three insights: (1) structural fragility, as micro and small firms dominate the economy but face high mortality and financial vulnerability; (2) uneven digitalization, with limited adoption of BPM, ERP, and AI due to skill and resource constraints; and (3) disproportionate gains from modest interventions, such as optimization models or collaborative prototyping. This study contributes to organizational theory by positioning MSMEs as socio-technical ecosystems, providing a conceptual foundation for future empirical validation. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Sociometric Study of Intragroup Relations in a Work Group(Universidad del Pacifico, 2018); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Redes neuronales para el análisis de variables de la fluctuación laboral(Universidad Politécnica Estatal del Carchi, 2019-12-27); ; ; El fenómeno de la satisfacción laboral genera altos costos para las organizaciones, ya que tiene un impacto en los procesos de selección, capacitación y motivación de sus recursos humanos, al tiempo que afecta la productividad y la calidad, e incluso afecta la lealtad de los clientes. Por este motivo, la previsión o el control del comportamiento de la rotación de personal son de gran importancia para una empresa. Aunque predecir el comportamiento de la rotación es una intención casi imposible debido al número de variables que condicionan este comportamiento. El objetivo de esta investigación fue tratar de identificar, mediante el uso del análisis de redes neuronales, qué variables internas de la organización, de naturaleza objetiva, de naturaleza demográfica y asociadas con sus recursos humanos, mostraron una relación o incidencia en la rotación de los empleados. Con este propósito, se analizaron las bases de datos sobre el comportamiento de rotación del personal en organizaciones empresariales con diferentes características. El análisis a través de redes neuronales permitió establecer una relación significativa entre variables tales como: ingreso promedio, nivel escolar y edad; Asimismo, no se encontraron diferencias significativas en otras variables, como el tipo de sector, los años de experiencia en el sector, los años de trabajo en el puesto o los años de trabajo, la posición jerárquica ocupada en la organización y el número de dependientes. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Financial Literacy, Trust, and Socioeconomic Determinants of Borrowers’ Behavior in Credit Card Use: A PLS-SEM Analysis(MDPI AG, 2025-12-22); ; ; ; Margarita De Miguel-GuzmánCredit cards play a central role in household financial behavior by combining payment and short-term financing functions shaped by socioeconomic, cognitive, and attitudinal factors. This study examines the determinants of credit card use and repayment behavior in Ecuador, focusing on purchasing power, financial literacy, and institutional trust. A quantitative, cross-sectional, and explanatory design was applied to a probabilistic sample of 550 credit card users from Quito and Santo Domingo. Multivariate analyses and Partial Least Squares Structural Equation Modeling (PLS-SEM)—including formative and hierarchical constructs—were used to validate the proposed behavioral framework. The results show that higher income is associated with more responsible repayment, while financial literacy and trust mediate this relationship through cognitive and attitudinal mechanisms. Moderate R2 values and small-to-moderate f2 effect sizes align with patterns observed in other Latin American credit markets. Behavioral differences also emerge across age, gender, and household composition, underscoring the heterogeneity of financial capability in the region. The findings demonstrate that responsible credit card indebtedness depends not only on economic capacity but also on financial knowledge and institutional trust, offering practical implications for financial inclusion policies and targeted education programs in emerging economies. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Socio-Cultural and Behavioral Determinants of FinTech Adoption and Credit Access Among Ecuadorian SMEs(MDPI AG, 2026-01-14); ; ; ; Margarita De Miguel GuzmánThis study analyzes the socio-cultural and behavioral determinants of FinTech adoption and access to credit among Ecuadorian SMEs. A probabilistic sample of 600 firms, operating in the services, commerce, information and communication technologies (ICT), and industry sectors, was surveyed to ensure representation of the country’s productive structure. The model integrates financial literacy, institutional trust, and perceived accessibility as key independent variables, with FinTech adoption as a digital behavioral factor and access to credit and credit conditions as the primary dependent outcomes. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), complemented by multi-group invariance tests and cluster analysis, the study evaluates seven hypotheses linking cognitive, perceptual, and digital mechanisms to financing behavior and firm performance. Results show that financial literacy and institutional trust significantly improve access to formal credit, with perceived accessibility acting as a partial mediator. FinTech adoption enhances credit conditions but remains limited among micro and small firms. Based on these findings, the study recommends strengthening financial education programs, simplifying credit procedures to reduce perceived barriers, and developing trust-building regulatory frameworks for digital finance. The results highlight the importance of socio-cultural and behavioral factors in shaping SME financing decisions and contribute to the understanding of financial inclusion dynamics in emerging economies. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Bias in Citation Visibility: Temporal Dynamics and the Unequal Life Cycle of Academic Articles. Evidence from SME and Internationalization Research(MDPI AG, 2025-12-01); ; ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Convolutional Neural Networks for Automated and Non Intrusive Measurement of Customer Satisfaction in Restaurants(MDPI AG, 2025-12-03); ; ; ; Customer satisfaction (CS) is a cornerstone of competitiveness in the hospitality sector, particularly in restaurants, where service interactions are highly sensory and time-sensitive. Traditional measurement instruments, such as SERVQUAL, SERVPERF, and the American Customer Satisfaction Index, provide valuable diagnostic insights but remain limited by recall bias, social desirability, and delayed feedback. Advances in deep learning now enable non-intrusive, real-time monitoring of customer experience. This study evaluates the feasibility of using a convolutional neural network (CNN) to automatically classify customer satisfaction based on facial expressions captured at the point of payment in a restaurant. From an initial dataset of over 5000 images, 2969 were validated and labeled through a binary self-report mechanism. The CNN, implemented with transfer learning (MobileNetV2), achieved robust performance, with 93.5% accuracy, 92.8% recall, 91.0% F1-score, and an area under the ROC curve of 0.93. Comparative benchmarks with Support Vector Machine and Random Forest classifiers confirmed the superiority of the CNN across all metrics. The findings highlight CNNs as reliable and scalable tools for continuous CS monitoring, complementing rather than replacing classical survey-based approaches. By integrating implicit, real-time signals with traditional instruments, restaurants can strengthen decision-making, enhance service quality, and co-create personalized experiences while addressing challenges of explainability, external validity, and data ethics.