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[Excerpt] New technologies will change personal and social life as we know it today. In the current society of information in which we live, we gather information and make decisions based on the virtual resources available to us. However, despite the increased quantity and quality of these resources, problems persist. One of them is that such resources are not generalized between countries and between social and ethnic groups within each country. The use and exploitation of new technologies and virtual environments are implemented in all areas of social life, including in the educational context, and such differences call into question the sustainability and scope of the Sustainable Development Goals (SDGs) defined by the UN for 2030. [...]

ICTs have been increasingly involved in teaching–learning processes due to the potential offered by the tools as well as to the set of demands derived from the political and health situations of the social environment. In this sense, the introduction of virtual campuses as complex systems that centralize the entire technological component that complements traditional teaching processes has meant a change of paradigm with repercussions at the teaching and pedagogical level. In this context, the purpose of this study aims to analyze students’ perception of the use of virtual campus and how to enhance the quality of the educational process using intelligent systems. For this purpose, 318 students that use virtual campus have been surveyed. The results show that there are three variables that predominantly influence the quality of teaching–learning processes using virtual campuses: frequent contact with teachers through the platform, the digital competence of the student, and the adaptation of training content to the students’ prior knowledge. This information can be useful, as it allows them to establish guidelines to guide the practices of their teaching teams in technological environments, guaranteeing the suitability of the teaching–learning process and improving the evaluation processes and the assessment of their own educational work.

PurposeThe purpose of this paper is to explore employment perception of students as a relevant indicator of higher education quality, using blended multi-criteria decision-making methods.Design/methodology/approachThe differential impact of these variables was analyzed in this paper taking a sample of 641 students and six higher education lecturers identified as experts on young vocational careers. The traditional study of student behavior and perceptions of employability does not incorporate the uncertainty associated with multi-criteria decision processes and is therefore less adapted to the human reasoning process. This research applies traditional techniques together with fuzzy techniques capable of managing more effectively the uncertainty associated with student actions and behaviors.FindingsThis research shows that it is important to consider previous work experience, academic achievement and soft skills developed during education experiences. In this way, this research shows the lecturers how to adapt their pedagogical practices according to students' perceptions of employability and assess their students' perceptions of employability. In addition, lecturers will be able to incorporate the uncertainty associated with decision-making processes to optimize employability perception.Originality/valueHigher education-related research on uncertainty environments as multi-criteria decision problems is still in early stages. The incorporation of the uncertainty associated with decision-making processes to this field allows to optimize employability perception thanks to its adaptation to real human behavior in the adoption of decisions.

The online fashion and textile sector is growing in recent years, becoming one of the online sectors with the highest volume of business. However, the bibliography on e-service quality and its consequences in this sector has been underdeveloped in the last years. This paper presents a model that incorporates the direct and indirect effects of e-service quality (utilitarian and hedonic experience) on satisfaction and loyalty of two segments of customers: transactional and online experimental customers. This research focuses on six online sale platforms, and it has been tested with data on 405 regular customers. The study also develops a model that incorporates the direct and indirect effect of e-service experiences on satisfaction, positive WOM, repurchase intention and price tolerance. The findings indicate that direct and indirect effects of e-service quality on satisfaction and loyalty are different for each segment of customers. While utilitarian quality is more relevant for those customers that only search for information, hedonic quality is especially significant for experiential customers.

University dropout is a phenomenon of growing interest due to the high financial costs that it involves for both families and states. Various variables have been studied in order to understand why ...

En los últimos años, la moda se ha consolidado como uno de los sectores con mayor volumen de negocio a través de Internet. Sin embargo, algunos estudios indican que los clientes de moda no son fieles a una plataforma concreta. En el presente estudio, mediante la metodología de encuestas a una muestra de 405 clientes de plataforma de venta online en el sector de la moda, se analizan dos dimensiones de la experiencia online (calidad de servicio utilitaria y calidad de servicio hedónica), así como sus efectos directos e indirectos sobre la satisfacción y diversos factores de lealtad (recomendaciones, intención de recompra y tolerancia al precio). La conclusiones obtenidas indican que tanto la calidad utilitaria como la calidad hedónica tienen un impacto similar en la satisfacción, intenciones de recompra y tolerancia al precio. Sin embargo, la calidad hedónica tiene un efecto mayor sobre las recomendaciones (eWOM) de los consumidores que la calidad utilitaria (el doble). Así pues, es relevante potenciar prácticas de gestión de experiencias en las plataformas de venta online que impliquen una eficiente asignación de recursos para conseguir un balance equilibrado entre calidad utilitaria y calidad hedónica.Palabras clave: Moda; calidad e-servicio; satisfacción; lealtad

This paper deals with modeling e-service quality. It combines Marketing methods (qualitative and quantitative methods) and Computational Theory of Perceptions (Fuzzy Logic). We apply interpretable fuzzy modeling to human perceptions collected through fuzzy rating scale-based questionnaires. The proposal is validated with a case study regarding Business-to-Consumers websites in the textile and fashion sector. The outcome is a fuzzy model easy to understand by humans no matter their proficiency regarding neither Fuzzy Logic nor Marketing. This model is embedded in the core of a virtual assessor which predicts consumers’ desires, expectations and needs; thus saving cost in future market studies.