Purpose: With the current wave of modernization in the dairy industry, the global dairy market has seen significant shifts. Making the most of inventory planning, machine learning (ML) maximizes the movement of commodities from one site to another. By facilitating waste reduction and quality improvement across numerous components, it reduces operational expenses. The focus of this study was to analyze existing dairy supply chain (DSC) optimization strategies and to look for ways in which DSC could be further improved. This study tends to enhance the operational excellence and continuous improvements of optimization strategies for DSC managementDesign/methodology/approach: Preferred reporting items for systematic reviews and meta-analyses (PRISMA) standards for systematic reviews are served as inspiration for the study's methodology. The accepted protocol for reporting evidence in systematic reviews and meta-analyses is PRISMA. Health sciences associations and publications support the standards. For this study, the authors relied on descriptive statistics.Findings: As a result of this modernization initiative, dairy sector has been able to boost operational efficiency by using cutting-edge optimization strategies. Historically, DSC researchers have relied on mathematical modeling tools, but recently authors have started using artificial intelligence (AI) and ML-based approaches. While mathematical modeling-based methods are still most often used, AI/ML-based methods are quickly becoming the preferred method. During the transit phase, cloud computing, shared databases and software actually transmit data to distributors, logistics companies and retailers. The company has developed comprehensive deployment, distribution and storage space selection methods as well as a supply chain road map.Practical implications: Many sorts of environmental degradation, including large emissions of greenhouse gases that fuel climate change, are caused by the dairy industry. The industry not only harms the environment, but it also causes a great deal of animal suffering. Smaller farms struggle to make milk at the low prices that large farms, which are frequently supported by subsidies and other financial incentives, set.Originality/value: This paper addresses a need in the dairy business by giving a primer on optimization methods and outlining how farmers and distributors may increase the efficiency of dairy processing facilities. The majority of the studies just briefly mentioned supply chain optimization.

Objetivo: El objetivo del estudio es estimar las relaciones funcionales entre el burnout y la satisfacción laboral de los profesionales de la salud de dos hospitales del Perú. Se aplicó el “Inventario de burnout de Maslach” MBI y la “Escala de satisfacción laboral (SL-SPC)” Materiales y métodos: Es un estudio cuantitativo, descriptivo correlacional y transversal. Se encuestaron 177 profesionales de la salud (médicos, odontólogos, químicos farmacéuticos, psicólogos, enfermeros, obstetras, tecnólogos médicos, nutricionistas y trabajadores sociales) Resultados: Mediante el análisis de ecuaciones estructurales se encontró que existe relación significativa (AGFI = 0,946) y negativa (coeficiente estructural = -0,62) entre el burnout y la satisfacción laboral en los profesionales de la salud; el burnout es predictor de la satisfacción laboral. La dimensión predominante del burnout fue la despersonalización (37%=0,72/ (0,56+0,72+0,65)); y el factor predominante de la satisfacción laboral fueron los beneficios económicos (35%=0,99/ (0,67+0,99+0,48+0,66)). Conclusiones: Se propone realizar investigaciones futuras sobre las variables moderadoras, que explican la relación entre el burnout y la satisfacción laboral e implementar programas de intervención ocupacional y organizacional.

ICT and digitization are transforming higher education, but one aspect that has been little addressed is student academic stress in this context. The objective of this research was to explore the relationship between teaching practices and academic stress in virtual learning environments. A quantitative study based on structural equation modeling was conducted using 6605 students from a public university in Lima. Two scales were applied and validated to assess specific dimensions of teaching practices and levels of academic stress. The scales demonstrated robust psychometric properties. Exploratory and confirmatory factor analysis allowed the identification of key underlying factors and the validation of the proposed theoretical model. Findings reveal indirect negative influences between teaching practices and academic stress. External factors like overload, distractions, and technological issues disrupt teacher interaction, collaboration, and learning processes. Model fit indices confirm its robustness, emphasizing the need to optimize resources and improve virtual education environments. ICT in education enhances accessibility and personalization but demands addressing academic stress and optimizing virtual learning environments. Future research is called for to delve deeper into the integration of emerging technologies, particularly artificial intelligence and virtual reality, as well as mindfulness, digital skills, and mobile self-efficacy, to comprehensively address stress and student well-being.

La autoeficacia emprendedora ha ganado importancia en los últimos años en el campo del emprendimiento, con base en ello el objetivo del presente estudio fue determinar el efecto de la autoeficacia emprendedora sobre el desempeño empresarial de las micro y pequeñas empresas de cuatro provincias peruanas, para ello se evaluó a un total de 382 emprendedores de diversas instituciones quienes fueron evaluados a través de una encuesta con propiedades psicométricas adecuadas. Dentro de los principales resultados se determinaron valores significativos a un nivel de confianza del 95% (p=0.00; p<0.01) en la relación entre las dimensiones de la autoeficacia emprendedora con el desempeño empresarial, donde resalta que la dimensión de propiciar relaciones con inversionistas aporta en gran medida al incremento de los resultados de las empresas, mientras que la dimensión fomentar un entorno innovador su contribución es menor; en conclusión, se evidencia que la autoeficacia emprendedora tiene un efecto positivo sobre el desempeño empresarial esto indica que en tanto un sujeto tenga mejores aptitudes para diseñar nuevos productos se obtendrán mejoras en el desempeño dentro de las micro y pequeñas empresas peruanas.

Este artículo presenta un análisis para clasificar los indicadores de conciencia sobre ciberdelito en los estudiantes de tres universidades de Perú mediante un cuestionario de veinte ítems medidos con la escala Likert, que fue aplicado a un total de 372 estudiantes mediante Google Forms. El análisis factorial exploratorio se aplicó a los datos recopilados, que dieron lugar a cuatro factores denominados: 1) conciencia sobre phishing, 2) conciencia sobre el spamming, 3) eficacia del software antivirus, y 4) bullying en la web. La escala de conciencia sobre el ciberdelito demostró que tiene una consistencia interna adecuada de ,892 del alfa de Cronbach para el instrumento general y las alfas de las subescalas van desde ,782 a ,861. Así, se logra determinar la validez y fiabilidad de la escala propuesta.

This study aimed to examine the relationships between mental health, organizational climate, and engagement through a structural equation model, for which a quantitative methodology was developed. A total of 1971 students from a public university in Lima (between 16 and 56 years of age, with a mean age of 21.09 years and standard deviation of 3.2) participated in the study. Three instruments with high internal consistency were used: the Positive Mental Health Scale, the Utrecht Work Engagement Scale, and the FOCUS Organizational Climate Questionnaire. The results show that organizational climate is positively related to mental health and engagement, with life satisfaction being the most significant dimension in mental health (0.768), the vigor the strongest in engagement (0.814), and the innovation climate stood out in organizational climate (0.819). At the same time, mental health directly impacts engagement. The structural model revealed that organizational climate directly influences mental health (0.64) and engagement (0.49), while mental health has a direct impact on engagement (0.43). In addition, this structural model presents an adequate fit. The findings highlight the need to design interventions prioritizing students’ psychosocial well-being and managing a positive organizational climate as a premise. Implications of the study are discussed.