Highlights The study explores the influence of the institutional context on job satisfaction. The research develops a multilevel analysis that considers institutional and organizational factors. Data of 22792 employees of 16 European countries from the Sixth European Working Conditions Survey are part of the sample. A novel classification of countries according to their working conditions is provided.

Market segmentation is a key concept in marketing that groups consumers by their needs, characteristics, or purchasing behavior. The objectives of this research are to develop outranking multicriteria models based on preference ranking organization method for enrichment evaluation (PROMETHEE) in order to segment food consumers and apply them to a survey of healthy and sustainable meat. The models consider two categories of purchasing criteria; one related to product and another to the distributor process. One model generates ordered segments of consumers, while the other obtains four segments according to consumer performance in both criteria categories. An extension of FlowSort method for the sorting problems with Likert scale data is also contributed. The profile of segments shows the significance level of variables such as gender, but mainly those related to food-related lifestyles, when characterizing the consumer groups. This proposal represents a robust approach, which is useful in the effective design of marketing campaigns and policies.

Increasing food supply chain sustainability means having to deal with many conflicting aspects and involves producers, several departments in distribution companies, and consumers. The objectives of this research are to develop models to solve real-world supplier evaluation problems and validate them with real data on fresh fruits in a supermarket chain. Literature review and results from a survey with managers from purchasing, logistics, and quality departments of a food distribution company are used to establish criteria, to first model the assessment of products and, second, to model supplier evaluation. A multicriteria hybrid approach is proposed, using multi-attribute utility theory (MAUT) to assess the quality of products and Preference Ranking Organisation Method for Enrichment Evaluation (PROMETHEE) to complete their evaluation with strategic criteria to be included in the second phase. The results allow companies to rank suppliers by product and classify them according to the main criteria categories, such as product strategy, food safety, economic, logistic, commercial, green image and corporate social responsibility. A sorting approach is also applied to obtain ordered groups of suppliers. Finally, the models proposed can form the core of a decision support system in order to create and monitor the supplier base in food distribution companies, as well as to inform sustainable decision making.

In the research on mathematics education, numerous Likert-type instruments estimating attitudes toward mathematics are sometimes composed of factors with a high correlation, which can make it difficult to assign the statements from the scale to each estimated factor. Further, the measurement of attitudes is usually done by adding the scores but ignoring the existence of possible differences in the importance that each item can have in its factor estimation. A revision of the methodology for the study of attitudes toward mathematics for the correct validation of the instrument is carried out in this research, and an estimation of the factors of attitude is proposed using the calculation of the weighted average of scores based on the importance that each item has in the explanation of its factor, which is given by a structural equation model. This methodology has been applied to Auzmendi's scale of attitudes toward mathematics measurement in a sample of 1293 university students. The factors were estimated using simple and weighted averages; significant differences have been obtained in the measurements, as well on those shown with the organization proposed by Auzmendi.

Madinat Al-Zahra is an ancient Arab palace located in Cordoba, Spain, which was proclaimed as part of the World Heritage of Humanity in 2018. The public administration must know the tourist motivations and interest in this heritage, as well as the satisfaction with Cordoba as destination and this Archaeological Ensemble. This article addresses these issues by analyzing and comparing motivations, expected and perceived value with the destination and those of the monument itself, using a Structural Equation Models methodology. Data was obtained from a survey of 375 tourists and the results showed that there is a high satisfaction with both destination and site, although these people perceive that this heritage is not integrated with the rest of the city attractions. In addition, the survey highlights that the transport system to the site is one of the most important weaknesses, among others. The results of this study offer valuable information related to this heritage.