Due to novel coronavirus 2019 (COVID-19), the labor market is going to undergo a profound restructuring. The creation of a new labor paradigm by all stakeholders is essential. This document contributes to the current political and social debates about self-employment, the need for economic growth, and how these labor measures, which are deeply institutionalized, need a change of attitude for an adequate job reconstruction in terms of welfare and sustainability. Currently, policy makers are proposing actions and policies because the new labor paradigm is being designed in the countries of Latin America. This research aims to analyze the JDCS model (Job Demand-Control-Support) and well-being in the self-employed in Ecuador. Unlike previous studies, this research takes a comprehensive approach by considering this theoretical model and the figure of the self-employed in terms of well-being. The logistic model, using cases of more than one thousand workers, generated estimated results that indicate the existence of a significant effect of physical and psychological demands at work on the balance between well-being and the management of angry clients; the speed of execution; and the complexity of the tasks. Regarding labor control, the ability to solve problems and make decisions for the company are detected as influencing factors; finally, social support is another factor influencing global well-being for the self-employed. These results show that with an effective management of the self-employed labor environment, it is possible to achieve an adequate level of workplace satisfaction.

Tourist destinations increasingly sustain their consolidation, promotion, and development from gastronomy. This research aims to contribute to the scientific literature analyzing the relationship between tourism and gastronomy for the specific case of the Costa del Sol (Spain) from tourists’ experiences of different nationalities who have visited the area. The methodology has been based on questionnaires applied to foreign travellers, after the gastronomic tasting of lunch or dinner in typical beach restaurants, called “chiringuitos”. Results show the existence of different segments of tourists based on their attitude towards local cuisine. Three groups have been identified, with different gastronomic predispositions and knowledge, and it is concluded that there are different levels of satisfaction and motivations in tourists, as they are identified in one segment or the other.

The interest in the Airbnb phenomenon is represented in the fast growth of publications indexed in the Web of Science (WoS) since the research inception of this topic in 2010. However, there are no studies that analyze the incidence of this phenomenon from a bibliometric approach using WoS. Therefore, this paper aims to quantify the incidence and composition of the Airbnb phenomenon through bibliometrics taken it as a data source. To achieve this aim, the WoS statistical instruments and the bibliometric tool VOSviewer are used. The results obtained, such as the number of articles and citations per year, the main categories of these articles, the nationalities of the authors, the most productive institutions, the sources and authors in terms of publications, and the H-Core of the most cited articles, are presented. Finally, concept maps are exposed, representing the relatedness of co-authorship and co-citation among authors, as well as the co-occurrence of the keywords in the articles analyzed. Satisfaction, trust, and innovation appear as the main research lines. This paper can be useful for academics and professionals, giving them a holistic overview of the topic, identifying new research areas, or as an objective manner to literary review approaches.

In recent years, the number of sharing economy accommodations has grown exponentially due to the Internet and peer-to-peer networks, which has made researchers increasingly interested in analysing this new type of lodging. This study sought to develop models that determine the significant variables for the daily price of staying in holiday rentals based on data extracted from Booking.com and other sources. The hedonic pricing method (HPM) was selected to conduct the research as this methodology has been widely used in real estate valuation and hotel daily rate determination; however, the HPM is still rarely used for holiday rentals. The study focused on the city of Seville, where a notable increase in holiday rentals has been observed in recent years. Variables related to the accommodation typology, including location, size and equipment, as well as seasonality, are the most influential factors in the proposed models. These results are of interest to both owners and users of holiday rentals and can help these individuals to determine if the price of a stay is what would commonly be offered in the market under normal circumstances.

Using funded and unfunded pillars, the optimal pension structure is estimated using an over-lapping generation model, calibrated to the average OECD countries. While simulating different pillar sizes, a socio-economic characteristic was revealed in which low-earning groups are prone to unexpected market risks than high-earning cohorts and support a larger contribution than better-off individuals. This led to high contribution rates for funded pillars and low contributions rates for social security pillars. This suboptimal allocation leads to inefficient hedging capability for the pension portfolio. An alternative is a minimum pension guarantee as an efficient system stabilizer as it rebalances the economic cost among different earning cohorts. However, the guarantee might be expensive to implement if not capitalized early in the working phases in an era of aging populations, low birth rates, and deep financial crisis.

An extremely useful theoretical approach to understanding the nature of work, health, and wellbeing is the job demand–control (JDC) model and the job demand–control–support (JDCS) model. In order for professional workers in the nongovernmental organization (NGO) sector to do their job, it is necessary for them to have a feeling of wellbeing. Despite this, in Europe, studies regarding the effects of the JDCS model in relation to workers’ wellbeing have not been carried out. This study is expected to fill this important gap in research by analyzing the relationship of wellbeing with work demands, work control, and social support. In order to corroborate the proposed hypotheses, an analysis of these constructs in employees in European nongovernmental organizations (NGOs) was developed and, using structural equation models, these relationships were tested. The results confirm the main hypothesis of the job demand–control–support (JDCS) model and the causal relationship among physical and psychological demands, work control, and support from supervisors and colleagues with the level of employee wellbeing.

Forecasting companies long-term financial health is provided by Credit Rating Agencies (CRA) such as S&P, Moody’s, Fitch and others. Estimates of rates are based on publicly available data, and on the so-called ‘qualitative information’. Nowadays, it is possible to produce quite precise forecasts for these ratings using economic and financial information that is available in financial databases, utilizing statistical models or, alternatively, Artificial Intelligence techniques. Several approaches, both cross section and dynamic are proposed, using different methods. Artificial Neural Networks (ANN) provide better results than multivariate statistical methods and are used to estimate ratings within all the range provided by the CRAs, obtaining more desegregated results than several proposed models available for intervals of ratings. Two large samples of companies ‘public data’ obtained from Bloomberg are used to obtain forecasts of S&P and Moody’s ratings directly from these data with high level of accuracy. This also permits to check the published rating’s reliability provided by different CRAs.

This research aims to analyze the perception, motivation and behavior of tourists attending the Fiesta de los Patios in the city of Córdoba (Spain), declared an Intangible Cultural Heritage (ICH) by UNESCO in 2012. This research has categorized tourists based on two different models: the model developed by Poria et al. (2003) and the one developed by McKercher (2002). Four different tourist groups were obtained: alternative, cultural, emotional and heritage. The main result of this research is that the behavior of different types of tourists can be determined depending on the perception that the ICH tourist has. The main practical application of this research is to provide public administration and management companies with tourism tools that allow sustainable management of this ICH event.