Tuberculosis remains one of the most dangerous diseases globally and has affected many people in Sub-Saharan Africa. In this paper, a fractional stochastic model of tuberculosis disease was formulated and analyzed. The existence and uniqueness of solutions are presented in the new approach far from the deterministic fractional operators. We carry out numerical simulations of the model using three fractional operators. Our numerical results suggest that the Caputo–Fabrizio operator has a more random effect among the three different operators than the Atangana–Baleanu and the Caputo operators. Further, it is envisaged that the fractional-order derivatives significantly impact the dynamics of the disease.
Objetivo: Propuesta de acciones para potenciar la participación obrera en la Empresa Pecuaria Venegas, municipio Yaguajay, provincia Sancti Spíritus, Cuba.
Métodos: Entrevista semiestructurada a diferentes actores dentro de la vida de la organización, el análisis de documentos generados por la entidad y la observación científica.
Resultados: La propuesta de un grupo de acciones para incentivar la participación obrera y el despliegue de potencialidades, que pueden contribuir al fortalecimiento integral de esa organización.
Conclusiones: Los problemas que enfrenta esa entidad para desplegar la potencialidad de la participación de los trabajadores están determinados, en lo fundamental, por factores subjetivos, relacionados con limitaciones internas que pueden ser superadas. Se determinó que en la referida entidad existen condiciones favorables para incrementar la participación del personal.
The paper examines the influence of opt-in e-mail marketing on consumer behaviour. The study attempts to extend the Stimuli–Organism–Response (S–O–R) theory that has been broadly explored in consumer research. Following a critical review of the literature organisation approach, a hypothetical model has been proposed for this study, based on identified factors, such as, informational value, entertainment-based message content, layout, visual appeal, attitude toward e-mail advertising and intention towards the sender in the context of opt-in email marketing. Data were collected in South Africa through an online survey of 436 opt-in e-mail marketing subscribers. Structural equation modelling (SEM) was employed to measure the proposed hypotheses of the study. The research results suggest that even during a pandemic, e-mail marketers could employ certain features in promotional and informational e-mail marketing communication, particularly informational value, entertainment-based message content, layout, visual appeal, as a means to design their e-mail marketing messages and plan e-mail advertising campaigns. The findings of the study are intended to advance the e-mail marketing knowledge base to help marketers during a pandemic, such as COVID-19. The paper provides marketers with relevant insights on how to effectively engage with e-mail subscribers.
Abstract Post-secondary institutions are investing in and utilizing virtual reality (VR) for many educational purposes, including as a discretionary learning tool. Institutions such as vocational schools, community colleges, and universities need to understand what psychological factors drive students’ acceptance of VR for learning in discretionary contexts. The Unified Theory of Acceptance and Use of Technology (UTAUT; Venkatesh et al. in MIS Quarterly 27:425–478, 2003) offers a theoretical framework for understanding students’ receptivity to VR for learning. Undergraduate university students (N = 300) read a description of VR and video training mediums, then indicated which they would choose to learn a novel task. Three psychological variables—performance expectancy, effort expectancy, and social influence—tended to be related to acceptance of VR, which was measured in two ways: (a) rated intentions to use VR and (b) preference for VR over a video-based alternative. Relative weight analyses compared the importance of the three predictors and revealed that performance expectancy tended to be the most influential antecedent of VR acceptance.
Special aspects of education, Information technology
La presente ponencia se realiza en el marco de la Especialización en Costos y Gestión Empresarial como
instancia final. La escasez de herramientas de gestión de costos con un enfoque económico en las pequeñas
y medianas empresas del sector agropecuario y la identificación de las necesidades de un productor agrícola
del sudoeste de la provincia de Buenos Aires motivaron el presente estudio de caso. Con base en las
necesidades del productor y en consistencia con los conceptos de costos sostenidos por el Instituto Argentino
de Profesores Universitarios de Costos (IAPUCo) se diseña una herramienta de gestión de costos que permite
responder ciertos interrogantes que ayudan al proceso de toma de decisiones de la empresa. La herramienta
diseñada es dinámica y flexible con el objetivo de que pueda ser utilizada por otras empresas adaptándola a
los requerimientos particulares de cada una.
Based on daily data about Bitcoin and six other major financial assets (stocks, commodity futures (commodities), gold, foreign exchange (FX), monetary assets, and bonds) in China from 2013 to 2017, we use a VAR-GARCH-BEKK model to investigate mean and volatility spillover effects between Bitcoin and other major assets and explore whether Bitcoin can be used either as a hedging asset or a safe haven. Our empirical results show that (i) only the monetary market, i.e., the Shanghai Interbank Offered Rate (SHIIBOR) has a mean spillover effect on Bitcoin and (ii) gold, monetary, and bond markets have volatility spillover effects on Bitcoin, while Bitcoin has a volatility spillover effect only on the gold market. We further find that Bitcoin can be hedged against stocks, bonds and SHIBOR and is a safe haven when extreme price changes occur in the monetary market. Our findings provide useful information for investors and portfolio risk managers who have invested or hedged with Bitcoin. Keywords: Bitcoin, Spillover effects, Hedging asset, Safe haven, JEL classification: C10, G11