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PurposeDue to the intense rivalry in the smartphone market, manufacturers of mobile phones are becoming increasingly interested in knowing the factors that influence consumers' purchase intention. This paper aims to examine the effect of country-of-origin image, brand image and attitude towards the brand on the purchase intention of smartphone users.Design/methodology/approachAn empirical study was performed based on the information gathered from smartphone users. The structural equation modeling (SEM) technique was applied to examine the hypotheses.FindingsThe authors found that brand image and attitude towards the brand significantly influence consumer purchase intention. Additionally, there is an indirect effect even when the nation of origin image does not directly influence the consumer's purchase intention. Indeed, brand image and attitude towards the brand act as a mediator between the country-of-origin image and purchase intention.Originality/valueThis study presents a conceptual model on the impact of country-of-origin image on the propensity of consumers to buy smartphones in a field where little research has been done. The investigation offers a consumer-focused analysis regarding the country-of-origin image. This suggests a significant shift from the current strategy, which is frequently centered on the viewpoint of the companies.

The aim of this paper is to analyse the students' performance in the mathematical competency aspect of the Programme for International Student Assessment (PISA) 2015 tests and to compare 5 Spanish regions in this respect – Navarra, Castile-León and Catalonia, with results above the national average; and Extremadura and Andalusia, with results below the national average – in order to identify the factors causing these differences. To do so, we computed the degree of association between variables related to the students and to the schools with the scores obtained in the mathematical tests. The purpose of this analysis was to better understand the meaning of these scores and their causes and, above all, to propose educational policy actions for improving the students' mathematical performance. In this study, a 2-level regression model was applied to the data collected in the PISA 2015 tests. The first level included the factors related to the students and the second was composed of the variables related to the schools. Our results highlight the significant influence of factors such as immigrant status, grade repetition, location of the school (rural or urban) and economic and sociocultural status. The relevance of these factors to students' academic performance has been observed in previous editions of the PISA tests. We emphasise the need for action to improve students' mathematical performance and, therefore, their educational success. ; Scientific Innovation and Employment Department of the Regional Government of Andalusia (Spain) HUM 1413

En la actualidad, el impacto de las noticias falseadas ha aumentado de forma exponencial debido, en parte, a la facilidad con que pueden difundirse por medio de las redes sociales. Esto convierte a los jóvenes, usuarios mayoritarios de las redes sociales, en el grupo más expuesto a este tipo de noticias, las cuales suelen incluir información numérica representada de distintas formas. En este trabajo se pretende estudiar el efecto de la representación (frecuencia, gráfica, porcentaje o probabilidad) en que se presenta una determinada información sesgada en el nivel de alfabetización estadística de estudiantes de Bachillerato. Los resultados muestran un bajo nivel de alfabetización estadística de los estudiantes independientemente de la forma en que venga dada la información, con una ligera mejoría en el caso en que la información se presente en forma de frecuencia.