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The main purpose of this research was to develop a universal model to evaluate the perceived value of tourism services and satisfaction with, and loyalty to, destinations from the consumers’ perspective and demonstrated the model’s applicability in this context.

Using the structural equation model, cause and effect relationships were identified between the proposed model’s constructs, and indices of quality, satisfaction and loyalty among tourists were estimated. This system was applied to a large set of data collected with a structured questionnaire distributed to tourists visiting the city of Seville through a non-probabilistic sampling by intentional quotas method. In total, 922 valid surveys were obtained.

The indices show that tourists who visit Seville report a high level of loyalty to, and satisfaction with, this place because of the perceived quality of a variety of services. It is observed that the perceived quality index is much higher (17.95 per cent) than the expected quality index, so the quality of the service received by the tourist during his/her visit to Seville is described as excellent.

Regarding this study’s limitations, other variables could have been included that influence tourist satisfaction, such as the climate, the effect of advertising medium, the prices and the emotional components. In addition, surveying tourists’ expectations before their visit is virtually impossible, as is surveying the same tourists again about their perceived value and satisfaction after their visit. Future lines of research could focus on the intersection of information between tourism offer and demand, providing information about an appropriate balance in specific markets. The proposed model can also be applied to other tourism places that are similar to Seville’s tourism offer, allowing useful comparisons and identification of critical points and ways to improve customer satisfaction continuously.

By establishing indices of expected and perceived quality and satisfaction and loyalty among tourists, tourism authorities and different economic agents involved in this sector can receive objective information about the results and quality of tourism services. Tourism managers, thus, can set objectives for improvements and competitiveness, as well as building and maintaining customer loyalty. At the same time, these indices allow comparisons with other organisations and places. By facilitating greater transparency in the measurement of quality and satisfaction, service providers connected to tourism can create a platform on which to articulate clearly their contributions to interested parties and local communities.

These results constitute strategies and findings that any tourism place has to consider in the planning and development of its products. Therefore the model can help to encourage a long-term market perspective among tourism sector regulators, investors and agencies. With the information obtained with this model, areas needing improvement can be identified and the appropriate procedures can be put into practice to improve the tourism offer, adjusting it to meet travellers’ needs according to their motivations to travel to the destination. Residents also can benefit from these measures, as their quality of life will improve through upgrades of the city’s tourism facilities.

The unique contribution of the present study lies in how the indices or indicators of quality of, satisfaction with and loyalty to destinations among tourists are easily measured by applying structural equation modelling. A new approach to measure satisfaction, loyalty and quality is used based on a scale from 0 to 100, and the index results are very useful for comparing different tourist places.

This paper aims to analyze the ethical responses of the fashion industry to the first wave of the COVID-19 pandemic when the entire world was shocked by the rapid spread of the virus. The authors describe lessons from emergency ethics of care in the fashion industry during the initial months of COVID-19, which can assist fashion managers in improving ethical decisions in future operations.

Rapid qualitative research methods were employed by conducting real-time, in-depth interviews with key informants from multinational fashion companies operating in Spain, a severely affected region. A content analysis of news articles published during the first months of 2020 was conducted.

Five critical disruptions in the fashion industry were identified: (1) changes in public needs, (2) transportation and distribution backlogs, (3) defective and counterfeit supplies, (4) stakeholder relationships at stake and (5) managers' coping challenges. Additionally, five business survival responses with a strong ethics of care component were identified, implemented by some fashion companies to mitigate the damage: (1) adapting production for public well-being, (2) enhancing the flexibility of logistic networks, (3) emphasizing quality and innovation, (4) reinventing stakeholder collaborations and (5) practicing responsible leadership.

Despite the well-documented controversies surrounding unethical practices within the fashion industry, even during COVID-19, our findings inform managers of the potential and capability of fashion companies to operate more responsibly. The lessons learned can guide fashion companies' operations in a post-pandemic society. Furthermore, they can address other grand challenges, such as natural disasters, geopolitical conflicts and climate change.

This paper tries to explore the possibilities of developing sustainable, community-based tourism (CBT) in Boa Vista in Cape Verde, Africa. Island territories are generally considered preferential tourist destinations. However, the negative effects of tourism in these destinations should not be overlooked, among them environmental concerns and impacts on the culture of the island’s inhabitants. The development of CBT takes on special relevance, as it based on planning schemes in conjunction with the local community who share the positive effects derived from tourism.

The methodology used consisted in designing two surveys: one focusing on the supply side and another on the demand side of tourism to define and analyse the current status of this sector in Boa Vista. The survey on tourism supply was distributed among a panel of experts formed by tourism service providers located in Boa Vista. The statistical results of the responses and the discussion carried out by the panel of experts permitted the development of a SWOT matrix. The survey on demand was administered to foreign tourists in different parts of the island. A total of 202 valid surveys were obtained.

The main results of the fieldwork are twofold. On the supply side of tourism, the community is making an enormous effort to actively participate in the development of sustainable tourism, efforts which are often constrained by the geographical barriers of Boa Vista (sandy soil, poor accessibility to other islands) and the institutional and political situation of the island. As regards the demand side of tourism, the vast majority of tourists stay at the island’s all-inclusive resorts, whereas few tourists require the services provided by the community, mainly because they are unaware that such services exist.

Certain island destinations are more appropriate for tourists wishing to flee mass tourism enclaves due to their natural environment, relative isolation and the traditional culture of their inhabitants. For this reason, it is important to develop a CBT model for these destinations in which initiatives are planned in conjunction with members of the local community who participate in decision-making processes and benefit equally from the positive effects of tourism. Although several case studies have been reported in the research on CBT initiatives, few studies have been carried out on CBT in island territories. This is the main contribution in this paper.

The purpose of this paper is to determine the role of gastronomy as a destination attraction, tourists’ perception of culinary tourism, its influence on satisfaction with the trip, and the economic value tourist’s attach to the opportunity to try traditional cuisine. The paper also examines possible sociocultural differences between different tourist segments according to how they rate gastronomy in their motivations for travel.

Data were collected by means of 392 questionnaires distributed in Ljubjlana (Slovenia) and Cordoba (Spain). Various bivariate and multivariate statistical techniques are used to perform a comprehensive econometric study.

Tourists exhibit greater interest in gastronomy as a travel motivation in the Spanish city, where they value aspects related to this activity more positively. However, the willingness to pay more to try traditional food is similar in both cities. No sociodemographic differences were found between the segments regarding the importance of gastronomy as a travel motivation.

Restaurateurs, hospitality associations, and other public or private stakeholders engaged in culinary tourism can benefit from this type of analysis. The study reveals the need to improve language skills, human capital formation, and the innovation of traditional dishes in the Spanish sample. It also shows that the future of culinary tourism in Slovenia will depend on enhancing the international visibility of this emerging tourism sector.

Successful strategies to promote culinary tourism must take into account the views of its main target group, tourists. Many studies analyzing tourist profiles are mainly qualitative, with few providing a cross-country comparison. This analysis provides a comprehensive, quantitative econometric approach to tourists’ opinions, and compares two different countries that differ in terms of their international visibility regarding this type of activity; specifically, Spain, which is a consolidated and world-renowned culinary tourism destination, and Slovenia, which is in the process of developing a culinary tourism project. Segmenting tourists based on their interest in culinary tourism also allows designing promotional strategies specifically tailored to each segment.

The purpose of this paper is to discover the common and differentiating food factors that affect tourists’ gastronomy satisfaction by comparing tourists’ gastronomic experiences at two culinary destinations in the Mediterranean region.

A total of 396 usable questionnaires were collected using a convenience sampling method from Cordoba (Spain) and Hatay (Turkey). The data were analysed through descriptive and multivariate analysis methods, including frequency analysis, multiple independent samples t-tests, χ² analysis and multiple regression analyses.

The results indicate that both of the destinations primarily attract existential type gastronomic tourists; however, they also attract recreational and diversionary types of tourist, particularly in Cordoba. From the perspective of Mediterranean cuisine, food quality and traditional gastronomy were determined to be common crucial factors for tourists’ food consumption satisfaction, which outweighs the effects of price, facilities and atmosphere. In addition, service and hospitality and innovation and new tastes in the dishes are the significant factors; however, factors vary according to the destination.

This study makes a significant contribution to the field food tourism by identifying common significant and insignificant and differentiating food factors that affect tourists’ gastronomic satisfaction in culinary destinations within the same geographical region. The results have the potential to provide a broader perspective for destination marketers and culinary establishments.

This paper aims to increase the understanding of luxury brands’ branded content strategies concerning follower's engagement generated or not by happiness and well-being feelings spread in their branded content.

This study sample was composed of three of the most relevant luxury brands nowadays: Manolo Blahnik, Loewe, y Balenciaga. To address this research, an exploratory-correlational quantitative methodology was chosen; hypotheses were contrasted using ANOVA analysis with the SPSS software. Although the study can be considered quantitative, the first step of qualitative analysis was applied for content analysis with NVivo QSR software, categorizing all posts (N = 192) into three categories.

The dissemination of branded content and corporate social responsibility, despite being different in each case, show in general an interaction and affective commitment with their stakeholders. In the specific case of Manolo Blahnik and Loewe, they have prioritized their content, in the context of the pandemic, in posts related to social welfare, happiness, mental and physical health care. There are significant differences in the interaction with their audience, which respond very favorably to both “Happiness” and “Health and safety” content.

This study reveals how corporate social responsibility can be achieved using efficient communications in social networks. In this way, the perception of the image of the sector and the reputation can be improved – both sectoral and organizational – which unquestionably translates into economic gains for the brands.

This paper aims to find out if there is a relationship between access to climate change information and student activism.

Exploratory study focused on the survey of 400 [n = 400] students from 10 universities in Spain from April to May 2022. A questionnaire with 19 questions was divided into blocks of knowledge, awareness, and action and bivariate analysis with a margin of error of ±5% and a confidence level of 95%.

The greater the degree of information received, the greater the activism of university students, who tend to use digital media and social networks to get informed. However, they perceive that the university generates little information and a low number of activities related to climate change. Students demand that universities implement informal, formal, and service-learning environmental education strategies on sustainable consumption.

Given the results of previous studies showing the variable “type of degree” does not show differences at the beginning and end of studies, it has not been considered in this research. Nevertheless, it would be convenient to introduce it in future investigations to confirm if this may have an impact on informational habits.

This paper urges universities to act as sources of environmental education, given the relationship between the information received and the pro-environmental attitudes of students.

The universities are powerful social actors that can shape public and political discourses for eco-social transition.

This research adds the variable access to information in studies on pro-environmental attitudes. Furthermore, this research provides data about student perceptions of the university, government, industry, and NGO climate actions.

The objective of the paper is to learn about the enabling factors that fostered the development of the Agtech sector in Argentina. The authors analyze how the local ecosystem (S&T institutions, incubators and accelerators, domestic clients, venture capitals and other actors) contributed to the emergence, consolidation and early internationalization of Agtech ventures.

Throughout 2020 the authors held 16 semi-structured interviews with experts, CEOs and managers of Agtech firms, incubator and accelerator managers, as well as with other stakeholders of the Agtech sector. All the interviews were recorded and then transcribed. The authors also undertook two case studies, one on a consortium of agricultural producers that created an Agtech incubator, and another on a successful Agtech venture. The selection of the case studies was based on the information collected during the interviews with local stakeholders (“snowballing technique”).

Linkages with the actors of the local ecosystem allowed Agtech ventures to validate their services and value proposition, identify business opportunities, improve and develop technologies, obtain funding, and reach out to new national and international customers.

While a case study methodology does not allow for direct generalization to other experiences, the authors’ findings shed light on relevant factors behind the development of the Agtech sector in Argentina which cannot be easily captured through quantitative methods.

This paper contributes to achieve a better understanding of the factors that allow the emergence and consolidation of young ventures based on disruptive technologies in Latin America. Hence, it contributes to the advancement of knowledge in an emerging field: the generation and dissemination of 4.0 technologies in developing regions.

The objective of this study is to review the main studies of social entrepreneurship (SE) in Latin America, to categorize them into four categories. To accomplish this, a bibliometric literature review is carried out based on data from the Web of Science database, to locate the Latin American collection of studies. In this way, the main studies are described and grouped, following a qualitative scheme that allows to substantiate the main findings of the Latin authors. Consequently, the progress made in the literature of the SE for Latin America is corroborated, by visualizing that the SE turns out to be a forceful fact to manage well-being, but that it is faced with an inconsistent development.

This paper aims to perform an exhaustive revision of relevant and recent related studies, which reveals that both extraction methods are currently used to analyze credibility on Twitter. Thus, there is clear evidence of the need of having different options to extract different data for this purpose. Nevertheless, none of these studies perform a comparative evaluation of both extraction techniques. Moreover, the authors extend a previous comparison, which uses a recent developed framework that offers both alternates of data extraction and implements a previously proposed credibility model, by adding a qualitative evaluation and a Twitter-Application Programming Interface (API) performance analysis from different locations.

As one of the most popular social platforms, Twitter has been the focus of recent research aimed at analyzing the credibility of the shared information. To do so, several proposals use either Twitter API or Web scraping to extract the data to perform the analysis. Qualitative and quantitative evaluations are performed to discover the advantages and disadvantages of both extraction methods.

The study demonstrates the differences in terms of accuracy and efficiency of both extraction methods and gives relevance to much more problems related to this area to pursue true transparency and legitimacy of information on the Web.

Results report that some Twitter attributes cannot be retrieved by Web scraping. Both methods produce identical credibility values when a robust normalization process is applied to the text (i.e. tweet). Moreover, concerning the time performance, Web scraping is faster than Twitter API and it is more flexible in terms of obtaining data; however, Web scraping is very sensitive to website changes. Additionally, the response time of the Twitter API is proportional to the distance from the central server at San Francisco.