Looking at the impact of society on the environment or, as we write this manuscript in the midst of the COVID-19 crisis, the scenes of consumers hoarding products, we wonder if consumers really do exhibit socially responsible consumer behaviors (SRCB). An initial literature review showed that few studies have addressed this issue, which creates opportunities for the development of new research lines. Furthermore, no study had examined the conceptual evolution or whether SRCB is a developed or fragmented theme from an exhaustive compilation of all previous academic research. To address the proposed research questions, we conducted a bibliometric analysis applied to a corpus of manuscripts on SRCB indexed in the Web of Science (WoS) bibliographic database, from its inception in 1991 up to 2019. Co-word analysis provided a structure of conceptual sub-domains classified based on their density and centrality. In addition, thematic networks were extracted that showed the important associations between the main issues that the SRCB community has addressed, which enabled the authors to examine the subject’s intellectual structuring over almost three decades. The findings showed that the research, over time, has focused most on corporate social responsibility (CSR), this being a motor theme between 2013 and 2016. In general, SRCB has been a very fragmented field of study, however in the last three years, it has developed into a distinct entity; in the past, it was basically addressed through CSR. The most productive thematic areas during the last 30 years have been: (a) Research into consumer attitude, (b) research on CSR, and (c) research on social and sustainable consumption behavior. In response to calls for greater theoretical clarification of the SRCB discipline, the authors providing experts and novices with a better understanding of the current state of the art and suggest future research directions.

Although few studies have empirically verified the trend, environmental associations seem to have become a generally accepted way of enhancing brand equity. This study used an experimental design (with a sample of 828 adult shoppers) to investigate the relevance of information about environmental performance to the improvement of attitudes toward a brand. According to the Elaboration Likelihood Model, the study shows that the relationship between environmental associations and attitudes toward a brand are conditioned in part by the product category and the brand. As such, the usefulness of environmental associations to improve attitudes toward a brand should not be generalized.

University rankings have proliferated in recent years and have been diverse, with a variety of profiles. This paper deals with the task of obtaining one single summarized ranking based on a selection of the most widely known rankings, in short, a meta-ranking. Five of the best-known rankings were selected and a database compiled with the major world universities that appear in at least four of the five rankings chosen. A meta-ranking was constructed, which differentiates between two dimensions, identifying the positions of universities in each and checking bias. The positioning of the universities is shown and seven clusters of world universities are identified, differences examined according to size, quality of scientific production, level of internationalization, features of the economic context and institutional attributes (staff-to-student ratio and percentage of female students). These results are useful for benchmarking by universities and national university systems, with a view to planning decisions.

The modelling of usage behaviour of New Information Technologies is of great utility to managers who need to evaluate the probability of success in the introduction of these technologies. The present study empirically contrasts the capacity of Davis's Technology Acceptance Model 1989 to help understand the determinants of the intention to use the Internet to search for holiday information. The findings show that the above theory does explain the intention to use the Internet on the part of the tourist, but it should be expanded to take account of the tourist's satisfaction with previous experiences of searching for holiday information.

Mountain and snow tourism are sectors of immense social and economic importance that are developed in an especially sensitive environmental context. A large part of this tourism is channeled through ski resorts. The literature on comparative studies of ski-resort management and, in particular, on marketing management, is limited. This study contributes knowledge on the application of marketing practiced at ski resorts. For the first time, an audit of marketing at ski resorts is performed through a quantitative survey at resorts in two countries (Spain and Italy). The importance–performance analysis (IPA) is used, which identifies both the strong and the weak points and the great deficits of marketing management at ski resorts from the perspective of their directors, to whom the questionnaire was addressed. The social media usage of the ski-stations is also analyzed, identifying different typologies of resorts in accordance with their performance against 11 indicators from Twitter and 15 from Facebook. Knowing the opinion of the visitors, the online and competitive strategy, and adapting to the legislative changes are the aspects to which the directors attach greater importance. The greatest deficits were linked to employee motivation and communication (internal and non-integrated). There are minor differences in Twitter and Facebook indicators between Spanish and Italian ski resorts. The turnover results of the ski resorts present more correlation with Facebook indicators than with Twitter ones. This analysis provides recommendations and implications for the management of ski resorts in the six dimensions of marketing under consideration. It, likewise, offers knowledge of the social-media-related behavior of resorts that are leaders on both Twitter and Facebook, for benchmarking purposes.

The principal factors that influence satisfaction with a university are analyzed in this paper. A distinction is drawn for that purpose between the factors that intervene before, during, and after the phase of university education, at all times from a graduate perspective. A sample of 9380 interviews with graduates from three separate academic courses is prepared to achieve our objective. Artificial neuronal networks are applied, with which both categorical and continuous variables may be processed, testing different network architectures (number of layers, type of learning, and algorithm). The results indicated that the variables reflecting the quality of the education received and entry into the employment market are the variables that determine satisfaction to a greater extent and less so than the motives for their choice of university course, scientific area, demographic variables, and academic records.