International Journal of Professional Business Review
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O IMPACTO DO EMPODERAMENTO NA MOTIVAÇÃO E PRODUTIVIDADE DOS COLABORADORES: REVISÃO DE LITERATURA
Full text linkObjetivo: O presente Artigo teve como objetivo abordar a temática do Empoderamento nas organizações e de que forma este tem impacto na Motivação e Produtividade dos colaboradores.
Referencial Teórico: Neste tópico, são apresentados os principais conceitos e teorias que fundamentam a pesquisa. Destacam-se o empoderamento, a liderança, o poder, a motivação e a produtividade, fornecendo uma base sólida para a compreensão do contexto da investigação.
Método: Foram analisados vários estudos publicados sobre o tema entre o ano de 2001 e 2018, tendo em conta palavras-chave como Empoderamento, Motivação, Produtividade e Gestão das Organizações em português e inglês. Foi realizada uma comparação entre uma empresa que pratica o Empoderamento, nomeadamente a Haier, e empresas que não praticam o Empoderamento, mais especificamente a Ford, a Chrysler, a General Motors e a CAMI.
Resultados e Discussão: O estilo de liderança da empresa Haier proporciona aos seus colaboradores liberdade para agirem como se fossem os seus próprios CEO’S, incentivando-os a serem proativos e autónomos e tendo em consideração a sua opinião.
Implicações da Pesquisa: Este estudo contribui para que os gestores compreendam a importância do empowerment e o coloquem em prática, auxiliando-os e guiando-os para a sua implementação.
Originalidade/Valor: Este estudo contribui para a literatura pela sua abordagem inovadora, no sentido em que analisou empresas que praticam o empowerment e empresas que não o praticam, evidenciando as vantagens que este possui para o sucesso das organizações
CLIMA ORGANIZACIONAL Y CALIDAD PERCIBIDA EN UN SISTEMA BIBLIOTECARIO UNIVERSITARIO: UN ESTUDIO CORRELACIONAL
Full text linkObjetivo: El objetivo de este trabajo es determinar la correlación existente entre el clima organizacional y la calidad percebida por los usuários em el Sistema Bibliotecario de la Universidad de Sonora.
Marco Teórico: Basado en conceptos claves como el clima organizacional, desarrollado por Lewin et al. (1939) y Litwin y Stringer (1968), y la calidad percibida del servicio, conceptualizada por Zeithaml (1988) y medida con los modelos SERVQUAL (Parasuraman et al., 1985) y SERVPERF (Cronin y Taylor, 1992), este estudio explora la relación entre estas variables.
Método: Se utilizó un diseño correlacional, cuantitativo y no experimental, con enfoque de campo. Participaron 150 empleados y 343 usuarios, quienes completaron encuestas en Microsoft Forms usando los instrumentos CLIUONing para evaluar el clima organizacional y SERVQUALing para medir la calidad percibida.
Resultados y Discusión: Aunque el clima organizacional (M=4.20) y la calidad percibida (M=4.12) fueron evaluados positivamente, no se halló una correlación significativa entre ambas variables (r=-.070, p-valor=.395). Las dimensiones mejor valoradas fueron retos individuales y gestión institucional para el clima, y capacidad de respuesta y seguridad para la calidad.
Implicaciones de la investigación: Los hallazgos orientan a las instituciones en estrategias como capacitación y retroalimentación continua para mejorar la calidad del servicio, resaltando la desconexión entre las experiencias de los empleados y las percepciones de los usuarios.
Originalidad/Valor: Este estudio explora un contexto poco investigado en bibliotecas universitarias mexicanas, destacando la importancia de recursos tangibles y competencias del personal para influir en la percepción de calidad
STUDY OF THE MECHANICAL BEHAVIOR OF A COMPOSITE MATERIAL REINFORCED WITH STIPA TENACISSIMA FIBERS
Full text linkObjectives: This research investigates methods to enhance the adhesion between polymer matrices and plant fiber reinforcements, specifically Alfa fibers (Stipa tenacissima), using a 2 wt % NaOH solution for varying durations (1, 3, 5, and 24 h).
Theoretical Framework: Plant fiber-reinforced composites are increasingly favored for their eco-friendliness, low density, cost-effectiveness, and promising mechanical properties. However, challenges persist due to inadequate adhesion between the polymer matrix and plant fibers, which can compromise composite performance.
Method: Alfa fibers were chemically treated with a 2 wt % NaOH solution for different durations. A comprehensive suite of tests, including FTIR, DRX, GTA, SEM, and tensile tests, were conducted to evaluate the effects of the treatment.
Results and Discussion: XRD analyses revealed a significant increase (36.26%) in the crystallinity index of Alfa fibers treated with a 2 wt % NaOH solution for 5 hours compared to untreated fibers. Moreover, mechanical testing demonstrated that composites reinforced with treated fibers exhibited superior mechanical properties compared to those reinforced with untreated fibers.
Research Implications: These findings highlight the potential for enhancing the performance of plant fiber-reinforced composites through chemical treatments, thereby enabling them to compete effectively with composites utilizing synthetic fibers.
Originality/Value: This study contributes to advancing high-performance composite materials by addressing the critical issue of interfacial adhesion between polymer matrices and plant fibers, thus expanding the application potential of eco-friendly composites in various industries
EFEITOS DE CHOQUES NOS PREÇOS DO BOI NO DESMATAMENTO DA AMAZÔNIA LEGAL E NAS EMISSÕES DE CO2 DO BRASIL
Full text linkObjetivo: O objetivo do presente trabalho foi determinar os efeitos de choques nos preços do boi no desmatamento da Amazônia Legal e nas emissões de CO2 do Brasil.
Referencial Teórico: Dentre os diversos problemas ambientais, que enfrenta a humanidade nos tempos atuais o desmatamento, contribui significativamente para o aquecimento global através da emissão de gases do efeito estufa para a atmosfera terrestre, trazendo como consequência mudanças climáticas que podem dificultar a existência da vida humana na Terra.
Método: Neste trabalho, utilizamos o método dos Vetores Autorregressivos Bayesiano (BVAR) com dados de periodicidade anual entre os anos de 1990 e 2019.
Resultados: Os resultados demonstraram que choques no preço do boi impactam positivamente o desmatamento e as emissões de carbono. Além disso, demonstramos que as exportações de carne bovina geram impactos significativos nos preços dessa commodity, afetando também as variáveis ambientais.
Conclusões: Fica evidenciado que o preço do boi é uma variável fundamental para explicar as variações no desmatamento da Amazônia Legal e, consequentemente, nas emissões de carbono do Brasil.
Implicações da Pesquisa: Esta pesquisa gera novo conhecimento para sustentabilidade, assim como ajudará a desenvolver um senso crítico sobre o estado atual das mudanças climáticas no planeta; além de mostrar aos governantes que devem agir com rapidez frente a esse problema. Diversos trabalhos de impactos sobre o meio ambiente tem sido publicados, porém esse é a primeira pesquisa na qual aplica-se o método dos Vetores Autorregressivos Bayesiano (BVAR) sobre os efeitos de choques dos preços nas variáveis desmatamento na Amazonia Legal e emissoes de CO2 do Brasil.
Originalidade/Valor: O estudo realizado é relevante para a humanidade, uma vez que contribui para a sensibilização da sociedade para uma das questões ambientais atuais. Este conhecimento pode ser utilizado para o desenvolvimento e/ou a procura de soluções que visem alcançar um equilíbrio com a natureza
IMPACTO DEL MANTENIMIENTO INDUSTRIAL, EQUIPO, MAQUINARIA, MATERIA PRIMA, MÉTODOS DE TRABAJO Y MANO DE OBRA EN EL NIVEL DE SIX SIGMA EN UNA PYME: ESTUDIO DEL CASO DE BLOQUERA MEDINA EN EL MUNICIPIO DE SAN PEDRO CHOLULA, PUEBLA
Full text linkObjetivos: Este estudio busca implementar Six Sigma en la empresa "Bloquera Medina" de San Pedro Cholula, Puebla, para reducir defectos en bloques de construcción, optimizar recursos y mejorar la competitividad en el mercado local.
Marco Teórico: Six Sigma, introducido por Motorola en 1987, es una herramienta de mejora continua que integra métodos como el Control Estadístico de Procesos (SPC) y la Administración de la Calidad Total (TQM). Mediante el modelo DMAIC (Definir, Medir, Analizar, Mejorar, Controlar), busca reducir variaciones para alcanzar una tasa de defectos de 3.4 por millón de oportunidades. Este estudio examina la aplicabilidad de Six Sigma en una PYME de construcción.
Método: Se utilizó el modelo DMAIC. En la fase de Definición se identificaron áreas problemáticas; en Medición se emplearon diagramas de Ishikawa y Pareto para analizar defectos; en Análisis se aplicaron los “5 porqués” para determinar causas raíz; en Mejora se implementaron capacitaciones y mantenimiento, y en Control se establecieron controles preventivos.
Resultados y Discusión: La implementación de Six Sigma redujo defectos, alcanzando un nivel de 4.01 Sigmas y una disminución del 61.44% en desperdicios. Se lograron ahorros en costos de mano de obra, materiales y equipo, aunque se enfrentaron desafíos, como la resistencia del personal al cambio.
Implicaciones de la Investigación: Este estudio demuestra que Six Sigma es efectivo en PYMEs de construcción, sugiriendo que esta metodología puede mejorar la competitividad en empresas pequeñas.
Originalidad/Valor: El estudio aporta un enfoque innovador al aplicar Six Sigma en una PYME de construcción en México, mostrando cómo pequeñas empresas pueden beneficiarse de metodologías avanzadas de calidad para reducir desperdicios y mejorar su productividad
MODERATING EFFECT OF PROJECT SIZE ON THE RELATIONSHIP BETWEEN RISK MANAGEMENT AND PROJECT PERFORMANCE OF COUNTY-FUNDED CONSTRUCTION PROJECTS
Full text linkObjective: The objective of this study is to investigate the moderating effect of project size on the relationship between risk management and project performance in county-funded construction projects in Nakuru County, Kenya, with the aim of understanding how project scale influences the effectiveness of risk management strategies.
Theoretical Framework: The study is grounded in the Theory of Constraints (TOC) and its project management application through Critical Chain Project Management (CCPM). These frameworks provide a foundation for understanding how project constraints and bottlenecks affect performance, particularly in relation to project size and risk management effectiveness.
Method: The research adopted a pragmatic philosophy with a mixed-methods approach, utilizing both quantitative and qualitative data collection methods. The study employed a predictive research design with a sample of 198 construction projects and 314 stakeholders, including contractors, project engineers, and managers. Data was collected through structured questionnaires and semi-structured interviews.
Results and Discussion: The findings revealed that project size significantly moderates the relationship between risk management and project performance, accounting for an additional 2.9% variance in project performance (ΔR² = .029, p < .001). Larger projects demonstrated a more pronounced impact of risk management practices on performance outcomes, requiring more sophisticated coordination mechanisms and comprehensive risk management approaches.
Research Implications: The study provides crucial insights for construction project stakeholders in the public sector, suggesting the need for scalable risk management strategies that adapt to project size. The findings inform policy development for risk management implementation in county-funded construction projects, emphasizing the importance of size-appropriate risk management approaches.
Originality/Value: This study contributes to the literature by examining the specific context of county-funded construction projects in Kenya, offering novel insights into how project size moderates risk management effectiveness. The research provides practical value through its emphasis on scalable risk management strategies and policy implications for public sector construction projects
ASSESSING A FINE-TUNED SCRUM AI AGENT: ACCURACY, UTILITY, AND EXPERT VALIDATION
Full text linkPurpose: This study aims to address the inaccuracies present in default large language models (LLMs) concerning Scrum and Agile methodologies by developing and evaluating a specialized AI model fine-tuned for these domains.
Theoretical Framework: Grounded in Agile principles and Scrum frameworks, this research integrates systems thinking and pattern languages to enhance the AI model's understanding and application of Scrum practices.
Design/Methodology/Approach: The research commenced with a pre-trained LLM, which underwent targeted fine-tuning using a curated dataset comprising established Scrum patterns, systems thinking principles, and real-world scenarios from authoritative Scrum literature. Advanced prompt engineering techniques, including Chain of Thought (CoT) and Role-Playing, were employed to enhance the model's reasoning and context-specific response generation. The model's performance was assessed through quantitative metrics and qualitative evaluations by Scrum experts.
Findings: The fine-tuned model demonstrated superior performance over general-purpose LLMs in generating accurate, relevant, and actionable responses aligned with empirical Scrum practices. Quantitative analyses revealed significant improvements in accuracy and context relevance, while qualitative feedback from experts highlighted the model's enhanced understanding of nuanced Scrum scenarios.
Research, Practical & Social Implications: This study underscores the potential of domain-specific fine-tuning in mitigating misinformation propagated by general-purpose LLMs. Practically, the developed model serves as a reliable tool for Scrum practitioners seeking guidance, thereby improving Agile implementation outcomes. Socially, the research contributes to the broader discourse on responsible AI deployment, emphasizing the need for contextual awareness in AI applications.
Originality/Value: This research pioneers the fine-tuning of LLMs specifically for Scrum and Agile methodologies, offering a novel solution to the inaccuracies prevalent in default models. The integration of advanced prompt engineering techniques and the emphasis on empirical Scrum practices contribute uniquely to both AI and Agile communities
RETOS Y BENEFICIOS DEL USO DE HERRAMIENTAS ANALÍTICAS EN LA MODERNIZACIÓN DE LA GESTIÓN FINANCIERA PÚBLICA
Full text linkObjetivo: El objetivo de este estudio es investigar la influencia y el impacto de las herramientas analíticas en la gestión financiera pública, con el objetivo de identificar las principales herramientas utilizadas, analizar cómo la automatización de procesos financieros contribuye a la eficiencia operativa, y determinar su rol en la mejora de la rendición de cuentas y la toma de decisiones estratégicas.
Marco Teórico: La capacitación en la adaptación tecnológica (Vanegas et al., 2021) la actualización constante en nuevas habilidades, es esencial para nuevos entornos empresariales y organizacionales, la gobernanza en datos y Bigdata descrito por (Jiang et al., 2024) subraya lo esencial de la gobernanza de datos en la estructuración de estándares éticos y de calidad.
Método: La metodología adoptada para esta investigación comprende un enfoque mixto que abarca métodos cuantitativos y cualitativos para describir la influencia de las herramientas analíticas en la gestión financiera pública. La recolección de datos se realizó mediante entrevistas de su punto de vista a funcionarios sobre sus experiencias y opiniones en la aplicación de herramientas analíticas y en el análisis de datos presupuestales que inciden en la relación de herramientas analíticas y la mejora en la gestión financiera.
Resultados y Discusión: Los resultados obtenidos revelaron que la analítica de datos es un puente en la mejora de la eficiencia y la eficacia en el sector público, acortando tiempos y pudiendo optimizar procesos que anteriormente tomaban mayor tiempo de análisis.
Implicaciones de la investigación: Se discuten las implicaciones prácticas y teóricas de esta investigación, proporcionando información sobre cómo los resultados pueden aplicarse o influir en las prácticas en el campo de la analítica de datos como nueva tendencia en la Industria 4.0. Estas implicaciones podrían abarcar a funcionarios públicos que están en el día a día constantes en la toma de decisiones en las entidades del estado, mediante la constante capacitación que respalden el uso eficiente de estas tecnologías.
Originalidad/Valor: Este estudio contribuye a la literatura al exponer en relación de las herramientas analíticas que existen actualmente y como estas tendrán un impacto en la gestión financiera. La relevancia y valor de esta investigación se destaca en que presente una influencia para la práctica profesional en la automatización de procesos y la toma de decisiones estratégicas
MONITORING AND EVALUATION OF AGRICULTURAL-BASED PROJECT OUTCOMES ON HOUSEHOLD FOOD SECURITY IN MURANG’A COUNTY, KENYA
Full text linkObjectives: This study investigates the role of monitoring and evaluation (M&E) practices in improving agricultural project outcomes and addressing household food insecurity in Murang’a County, Kenya.
Theoretical Framework: Grounded in Change Theory, this study highlights how systematic M&E processes align activities with project goals, promoting accountability, resource optimization, and outcome sustainability.
Method: A mixed-methods approach was utilized, collecting quantitative data from 383 respondents through structured questionnaires and qualitative insights via interviews. Regression and correlation analyses were applied to identify significant relationships.
Results and Discussion: Findings revealed a significant positive correlation (r = 0.201, p < 0.05) between robust M&E frameworks and food security improvements. Key factors included readiness assessments, accountability, and produce storage. Challenges such as limited funding and inadequate training hindered effectiveness.
Research Implications: Policymakers are encouraged to integrate community-inclusive, results-based M&E systems into agricultural projects. Recommendations include capacity building, technological adoption for real-time data, and fostering stakeholder collaboration to ensure sustainability.
Originality/Value: This research advances the understanding of M&E’s role in achieving sustainable agricultural outcomes. It provides a replicable model for improving food security in similar rural contexts through effective monitoring frameworks
ASSESSING THE MODERATING ROLE OF ENVIRONMENTAL FACTORS ON THE LINKAGE BETWEEN PARTICIPATORY MONITORING AND EVALUATION AND SUSTAINABILITY OF VOLUNTOURISM PROJECTS IN THE COASTAL REGION, KENYA
Full text linkObjective: This study examines the moderating role of environmental factors in the relationship between participatory monitoring and evaluation and the sustainability of voluntourism projects in the Coastal region of Kenya.
Theoretical Framework: The study is anchored in stakeholder theory, which emphasizes the role of diverse stakeholders in shaping project outcomes. It also incorporates sustainability theory, highlighting the influence of external environmental factors on the long-term viability of voluntourism projects.
Method: A descriptive cross-sectional survey design was employed, integrating both qualitative and quantitative approaches. The study targeted 20 voluntourism projects, with a total of 1004 respondents comprising 20 project managers, 452 employees, and 532 community representatives. All project managers were interviewed, while a proportionate sample of 130 employees and 154 community representatives completed structured questionnaires. Data were analyzed using descriptive and inferential statistics applied.
Results and Discussion: Findings reveal that environmental factors significantly moderate the relationship between participatory monitoring and evaluation and project sustainability (R² = 0.427, p < 0.05). Enhanced stakeholder involvement, community empowerment, and effective negotiation processes improve project sustainability when aligned with favorable environmental conditions.
Research Implications: The study underscores the importance of integrating environmental considerations into participatory monitoring and evaluation frameworks for improved project sustainability. Policymakers should formulate voluntourism policies that align with stakeholder preferences and local environmental conditions. Project managers should focus on empowering communities and fostering negotiation strategies that enhance sustainability. Future research should explore longitudinal assessments of voluntourism projects and comparative studies across different regions.
Originality/Value: This study contributes to the existing literature on voluntourism and project management by providing empirical evidence on the moderating effect of environmental factors. It offers practical recommendations for policymakers, project managers, and community stakeholders to enhance the sustainability of voluntourism initiatives