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The purpose of this study is to understand the perception and purchase intentions of Spanish consumers towards sustainable fashion and to see if this can guide the marketing strategy for sustainable fashion.

A mixed methodology has been designed to test the categories: knowledge, environmental concern, product-related features and social influence.

The results of this study suggest that some implications and advice on sustainability marketing strategy could help companies to develop sustainable fashion for Spanish consumers.

The originality of this study lies in the focus on sustainability to achieve happiness and satisfaction of people as a form of governance from a social point of view.

This work aims to examine the communication on Twitter of the most responsible companies in Spain to identify the topics covered on corporate social responsibility (CSR) from the perspective of happiness and social marketing. In addition, the profiles of the messages that show an association with the impact of the messages have been identified.

An empirical analysis of the Twitter posts of Spain's ten most responsible companies has been carried out. The methodology of this work combines data mining techniques, sentiment analysis and content analysis, both from a quantitative and qualitative approach.

The results show that most brand tweets do not deal with CSR-related topics. The topics they address the most are those related to sports and the weather. From the perspective of social marketing, conversational-type tweets are the most published and have achieved the most significant reaction from the public. In addition, four messages' profiles have been identified based on the company and the emotional connotation associated with the impact, giving rise to more outstanding promotion of social causes.

Our main contribution to this work has been to value positive communication and social marketing to promote better CSR on Twitter. In this sense, it has been verified that there is a relationship between the public's reaction, the affective connotation and the company that issues the messages.

This study aims to analyze communication from the perspective of social marketing, positive emotions, and the topics chosen by Spanish tourist destinations to show their destination image. Additionally, this research shows a message classification model, based on the aforementioned characteristics, that has generated a greater impact, offering clarity to tourism managers on the type of content they should publish to achieve greater visibility.

The methodology used in this work combines content analysis and data mining techniques. The classification tree using the chi-square automatic interaction detector (CHAID) algorithm was selected to determine predictors of like behaviour.

The results show that the predictor variables have been emotions, social marketing and topics. Also, the characteristics of the messages most likely to have a high impact are those related to emotions of joy or happiness, their purpose is behavioural, and they talk about rural, cultural issues, special dates, getaways, or highlights of a town or city for something specific.

This study is the first to analyze the content of the tweets shared by destination tourism managers from a social marketing, positive emotions, and sustainability perspective, determining the possible predictors of likes on Twitter. The authors contribute to the literature by deepening the understanding of how social marketing and the positive emotions promoted drive a more significant impact in tourism communication campaigns on social media. The authors provide destination managers with a way better to understand the variables relevant to users in tourism content.

Organizational happiness has received exponential attention in recent years. To offer an over-view for future research gap, this article produces a comprehensive review by combining bibliometric analysis and interviews to key authors in the field. The main objective of this paper is to show the state of research regarding the environment in the management of happiness in organizations: the evolution of scientific activity, current trends in authorship, topics and future setting research agenda.

The methodological process focuses on a mixed method. A systematic review of the relevant literature; bibliometric analysis and network mapping in the Web of Science and Scopus data-bases; bibliometric network analysis of authorship, citation and co-occurrence of key words in scientific publications.

The results reveal that happiness management is gaining importance and, moreover, more than half of the publications about happiness management are related to the environment in which the organizations are immersed. Therefore, the study provides some research directions and insists on role of environment to better understand the theoretical and practical perspectives. Likewise, bibliometric analysis and interviews allow to measure quality, impact, productivity and scientific evolution which are increasingly valued in order to identify the main concepts and topics that are considered key, drivers of research and those gaps that should be addressed in future research work for the conceptual framework of happiness management in organizations.

Conclusions are drawn that promoting corporate social responsibility strategies, aimed at fostering sustainability and care for the environment result in the well-being of organizations and the performance of their workers are highlighted.

The aim of this research is to carry out a bibliometric analysis of the academic literature indexed in the Core Collection of the Web of Science (WoS) on happiness management in companies during the period between 2000 and 2022. In particular, the variables used to keep the scientific production under study are as follows: (1) time evolution, (2) publication format, (3) categories, (4) authors, (5) institutions, (6) journals, (7) publishers and (8) countries.

To carry out the analysis, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology is followed, using the WoS database for data collection and VosViewer to create the network maps.

The results show, among other aspects, the accelerated growth rate of the scientific production studied since 2017, the use of publications in articles as the main format for disseminating research results, the relevance of the business category as the area of study in which most of the scientific production examined falls as well as the predominant role of the publishers Emerald, Springer and Elsevier in the publication of scientific documents on the subject under analysis.

There are different reasons that justify the originality of the study. First, the research advances the understanding of the academic literature on happiness management at the corporate level. Second, to the best of the authors' knowledge, there are no previous bibliometric studies that have addressed this topic. Third, the research analyses the literature under analysis from the first record to the year 2022, assuming an update of the previous narrative and systematic reviews carried out on the subject studied.