Emotions of the main educational agents involved in the App educational applications

[EN] The integration of digitization into various aspects of daily life has been accelerated recently, particularly in the realm of e-government. This study focuses on examining the emotions of key stakeholders in non-university public education, specifically educational centers, teachers, and families, as they pertain to educational applications developed by Spanish autonomous communities. The research employs a novel approach, incorporating word processing analysis to evaluate the emotions expressed in Twitter posts by the aforementioned groups. The analysis employs the Plutchick model of emotions and feelings, utilizing various R libraries designed for this type of analysis. The findings suggest differing perceptions of educational apps among the studied groups.Junta de Andalucía. Consejería de Economía, Conocimiento, Empresas y UniversidadRondan-Cataluña, FJ.; Peral-Peral, B.; Ramírez-Correa, P.; Arenas-Gaitán, J. (2023). Emotions of the main educational agents involved in the App educational applications. Editorial Universitat Politècnica de València. 159-160. http://hdl.handle.net/10251/20175915916

External environment and the moderating role of export market orientation ☆

This research has two main objectives. The first is to fill the knowledge gap on the role which the external environment plays in the strategic behavior of exporting companies, taking into account the psychological distances between the domestic and foreign markets. The second aim is to clarify the role that market orientation plays in export activity, since the literature review shows conflicting results. The study provides insight into these issues through hypothesis testing of a conceptual model using a sample of 212 Spanish exporting companies. The results lead to two major conclusions: (a) in turbulent environments, exporting firms adapting the marketing mix program to the needs of foreign markets obtain a better export performance in highly competitive and psychologically distant markets; (b) although market orientation has a direct and positive effect on export performance, its main role is to support strategic decision making in exporting companies. In addition, market orientation moderates the relationship between marketing mix adaptation and export performance

¿Cómo el sistema de memoria construye el conocimiento conceptual de marca en la mente del consumidor?

Se cree que el conocimiento de marca se construye en la mente de las personas como una representación cognitiva. Sin embargo, no existe una explicación basada en evidencia empírica de cómo este conocimiento de marca está representado, organizado y procesado en la mente del consumidor, y cuál es la influencia de estas representaciones en la toma de decisiones durante la conducta de compra del consumidor. Nosotros presentamos un modelo teórico inspirado en los modelos del componente triple de la memoria de trabajo y en el de la taxonomía de los sistemas de memoria de largo plazo. Nuestro modelo intenta describir y explicar cómo la información de la marca es procesada, cómo fluye a través del sistema de memoria, y como es transformada en conocimiento conceptual de marca en la mente del consumidor. Nosotros comenzamos a probar este modelo a través de una prueba de asociación implícita (IAT) y de potenciales asociados a eventos (ERPs) en la dimensión semántica medida con el N400, durante la exposición a imágenes de marcas de servicios de telefonía móvil.It is belief that brand knowledge is built in the human mind as a cognitive representation. However, there is no explanation based on empiric evidence on how this known brand is represented, organized and processed in the consumer mind, and what is the influence of these representations on the consumer decision-making during consumer’s buying behavior. We present a theoretical model inspired in the models of triple component of the working memory and long-term memory systems taxonomy. Our model attempts to describe and explain how the brand information is processed, how it fluxes through the memory system, and how it is transformed into a brand conceptual knowledge in the consumer’s mind. We started to test this model through an implicit association test (IAT) and event-related potentials (ERPs) in the semantic dimension assessed with a N400 potential during consumers expose to mobile phone services images

Efecto curvilíneo y complementario de la orientación al mercado reactiva y proactiva sobre la ventaja competitiva

A pesar de la generalización de la relación positiva de la orientación al mercado con la creación de ventaja competitiva, aún se desconocen aspectos de su naturaleza, como el costo y riesgo de implementar una total orientación al mercado. A partir del doble constructo de la orientación al mercado propuesto por Narver et al. (2004) se propone analizar este aspecto en una muestra de empresas de manufactura colombianas mediante un modelo de regresión lineal. Se propone que la orientación al mercado reactiva y proactiva presenten efectos de saturación y que se complementan para aumentar la ventaja competitiva empresarial

Proposing new variables for the identification of strategic groups in franchising

The identification of strategic groups in the Spanish franchising area is the main aim of this study. The authors have added some new strategic variables (not used before) to the study and have classified franchisors between sectors and distribution strategy. The results reveal the existence of four perfectly differentiated strategic groups (types of franchisors). One of the major implications of this study is that the variables that build a strategic group vary depending on the respective sector the network operates in and its distribution strategy. This fact indicates that including sector and distribution strategy is absolutely necessary to achieve good classifications of franchisor type

Explorando la Influencia del Género en la Percepción y Adopción de e-Learning en Alumnos de Educación Superior en Chile

The main objective of this study is to examine gender differences and technology acceptances from tertiary education students from Chile. The TAM model is the tool used to measure the acceptance and use of e-learning of respondents. Partial Least Squares (PLS) was used, specifically, multi-group PLS analysis was used to compare between-group differences. In summary, we can affirm that in a sample of tertiary Chilean students their behavior of acceptance of e-learning technology match with to TAM model and it don’t shows significant statistic differences between women and men

Gender and Acceptance of E-Learning: A Multi-Group Analysis Based on a Structural Equation Model among College Students in Chile and Spain

<div><p>The scope of this study was to evaluate whether the adoption of e-learning in two universities, and in particular, the relationship between the perception of external control and perceived ease of use, is different because of gender differences. The study was carried out with participating students in two different universities, one in Chile and one in Spain. The Technology Acceptance Model was used as a theoretical framework for the study. A multi-group analysis method in partial least squares was employed to relate differences between groups. The four main conclusions of the study are: (1) a version of the Technology Acceptance Model has been successfully used to explain the process of adoption of e-learning at an undergraduate level of study; (2) the finding of a strong and significant relationship between perception of external control and perception of ease of use of the e-learning platform; (3) a significant relationship between perceived enjoyment and perceived ease of use and between results demonstrability and perceived usefulness is found; (4) the study indicates a few statistically significant differences between males and females when adopting an e-learning platform, according to the tested model.</p></div

Descriptive statistics and T Test.

<p>Descriptive statistics and T Test.</p

Path coefficients.

<p>Statistical significance</p><p>* p<0.05</p><p>**p<0.01</p><p>***p<0.001</p><p>n.s. non-significant.</p><p>Path coefficients.</p