Local fresh food products and plant-based diets: an analysis of the relation between them

Goal number 12 of the United Nations Sustainable Development Goals proposes attaining sustainable production and consumption. Public administrations, firms, and organizations must be involved in this achievement, as well as citizens as consumers. In our case, we focus on consumers and on two food-related decisions: the buying and consumption of local products, specifically vegetables and fruits, and the decision to follow a plant-based diet, concretely vegans and vegetarians. The aim is to check if there exists a relation between the two questions. We carried out empirical research in a South European city, and we found that a significant relation between these behaviors does not exist. It is necessary to increase consumer perception about the advantages of consuming local products, reducing the limitations that they come across, and transmitting clear information from administrations and industries. Greater involvement from consumers in sustainable food practices will contribute to sustainability

La compra de productos locales de alimentación no es una cuestión de actitud. Un análisis de beneficios y limitaciones

Purpose – This paper aims to explore the shopping intention of local products. Using the theory of planned behavior model, the authors study the effect of egoistic and altruistic benefits and the influence of contextual limitations and people’s own limitations on the intention to buy local fresh fruits and vegetables. Methodology – This paper uses a sample of 1,200 consumers of a south European city to test the model using a structural equation modeling technique with partial least squares. Findings – Although egoistic benefits have a direct effect on the shopping intention, altruistic benefits have a much higher total effect. Surprisingly, attitude does not influence shopping intention. This paper provides elements that favor the consumption of local products froma more global, social and sustainable perspective. Value – This paper provides new empirical evidence on the influence of perceived benefits and personal limitations on local food consumption.Propósito – Este trabajo explora la intención de compra de los productos locales. Partiendo del modelo de la Teoría del Comportamiento Planificado, estudiamos el efecto que los beneficios egoístas y altruistas y la influencia de las limitaciones contextuales y las propias limitaciones de las personas tienen en la intención de compra de frutas y verduras frescas locales. Metodología – Utilizamos una muestra de 1.200 consumidores de una ciudad del sur de Europa para probar el modelo, utilizando modelos de ecuaciones estructurales con mínimos cuadrados parciales. Hallazgos – Aunque los beneficios egoístas tienen un efecto directo en la intención de compra, los beneficios altruistas tienen un efecto total mucho mayor. Sorprendentemente, la actitud no influye en la intención de compra. Originalidad – Este artículo proporciona nueva evidencia empírica de la influencia de los beneficios percibidos y las limitaciones personales en el consumo de alimentos locales.Universidad de Sevilla 3551/098

Protocolos de tratamiento y metodología de imágenes aplicados en el taller de empleo "Fuente de papel", del Ayuntamiento de Córdoba

Actas de las Segundas Jornadas Imagen, Cultura y Tecnología celebradas entre el 1 y el 3 de julio de 2003 en la Universidad Carlos III de MadridPublicad

Gender differences between university students in use and Aceptance Social Netwoks Sites

Las redes sociales online se han convertido en los últimos años, y a un ritmo vertiginoso, en parte de la realidad diaria de los internautas. Las empresas también emplean las redes sociales, como una vía de comunicación bidireccional con sus clientes actuales y potenciales. En este trabajo, de carácter exploratorio, pretendemos analizar si el género de los internautas influye en el comportamiento de uso de las redes sociales. El motivo es que, a pesar de que la aceptación y uso de las TIC es más frecuente en hombres según la literatura previa, la redes sociales, según distintas encuestas sobre el tema, son más utilizadas por las mujeres. Por ello, analizamos si existen divergencias por sexo en los constructos de modelos clásicos de aceptación de la tecnología, como el TAM (Technology Acceptance Model) y el TPB (Theory of Planned Behavior), empleando una muestra de 1460 alumnos universitarios.Online social networks have become rapidly in part of the daily reality of Internet users. Companies also employ social networks, as a means of two-way communication with their customers and prospects. In this work, exploratory in nature, we aim to analyze whether the gender of Internet users influences the behavior of using social networks. The reason is that, while the acceptance and use of ICT is more frequent in men according to previous literature, the social networks are more used by women, according to various surveys on the subject. Therefore, we analyze if there are differences by sex in the constructs of classical models of acceptance of technology, such as the TAM (Technology Acceptance Model) and TPB (Theory of Planned Behavior), using a sample of 1460 university students

Internet of Things: A Review of Surveys Based on Context Aware Intelligent Services

The Internet of Things (IoT) has made it possible for devices around the world to acquire information and store it, in order to be able to use it at a later stage. However, this potential opportunity is often not exploited because of the excessively big interval between the data collection and the capability to process and analyse it. In this paper, we review the current IoT technologies, approaches and models in order to discover what challenges need to be met to make more sense of data. The main goal of this paper is to review the surveys related to IoT in order to provide well integrated and context aware intelligent services for IoT. Moreover, we present a state-of-the-art of IoT from the context aware perspective that allows the integration of IoT and social networks in the emerging Social Internet of Things (SIoT) term.This work has been partially funded by the Spanish Ministry of Economy and Competitiveness (MINECO/FEDER) under the granted Project SEQUOIA-UA (Management requirements and methodology for Big Data analytics) TIN2015-63502-C3-3-R, by the University of Alicante, within the program of support for research, under project GRE14-10, and by the Conselleria de Educación, Investigación, Cultura y Deporte, Comunidad Valenciana, Spain, within the program of support for research, under project GV/2016/087. This work has also been partially funded by projects from the Spanish Ministry of Education and Competitivity TIN2015-65100-R and DIIM2.0 (PROMETEOII/2014/001)