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This paper aims to characterize the type of support provided to victims of violence against women and domestic violence (VAWDV) during the first lockdown, assessing the training of professionals to use remote support (RS).

This cross-sectional study involves a sample of 196 support professionals, mainly women (91.8%) and who integrate the Portuguese National Support Network for victims of domestic violence (NSNVDV) (Mean age = 36.49; SD = 10.52).

Telephone emerges as the main RS communication media used in the lockdown (43.9%) and the emergency state periods (57.1%). Participants reported to have never used any social applications (41.8% vs 41.8%) or videoconference (46.4% vs 58.2%), in both periods assessed, i.e. lockdown and emergency state, respectively, and 82.7% assumed to have no training with RS to assist VAWDV victims. However, support professionals recognized several advantages in using RS such as dealing with isolation, reducing inhibition, fear and shame and in promoting the victims’ empowerment.

Given the exploratory nature of this study, only descriptive analyzes were conducted.

During the COVID-19 pandemic, little is known about effective RS given by professionals to victims of VAWDV in the Portuguese context. The paper aims to add knowledge to the studied field.

Airbnb Experiences is a new type of service launched by Airbnb in November 2016, where users can offer travellers a wide range of activities. This study devotes attention to analysing customer feedback expressed in online reviews published in Airbnb to evaluate those experiences.

A total of 1,110 reviews were collected from 12 categories, including 111 experiences, resulting in 10 reviews per experience. First, the sentiment score was computed based on the text of the reviews. Second, 17 quantitative features encompassing user, Airbnb experience and review information were used to model the score through a support vector machine. Third, a sensitivity analysis was performed to extract knowledge on the most relevant features influencing the sentiment score.

Tourists writing online reviews are not only influenced by their tourist experience but also by their own online experience with the booking and online review platform. The number of reviews made by the user accounted for more than 20 per cent of relevance, while users with more reviews tended to grant more positive reviews.

Current literature is enhanced with a conceptual model grounded on existing studies that assess tourist satisfaction with tour services. Both services online visibility and user characteristics have shown significant importance to tourist satisfaction, adding to the existing body of knowledge.

This study aims to propose a data-driven approach, based on open-source tools, that makes it possible to understand customer satisfaction of the accommodation offer of a whole country.

The method starts by extracting information from all hotels of Portugal available at TripAdvisor through Web scraping. Then, a support vector machine is adopted for modeling the TripAdvisor score, which is considered a proxy of customer satisfaction. Finally, knowledge extraction from the model is achieved using sensitivity analysis to unveil the influence of features on the score.

The model of the TripAdvisor score achieved a mean absolute percentage error of around 5 per cent, proving the value of modeling the extracted data. The number of rooms of the unit and the minimum price are the two most relevant features, showing that customers appreciate smaller and more expensive units, whereas the location of the hotel does not hold significant relevance.

National tourist offices can use the proposed approach to understand what drives tourists’ satisfaction, helping to shape a country’s strategy. For example, licensing new hotels may take into account the unit size and other characteristics that make it more attractive to tourists. Furthermore, the procedure can be replicated at any time and in any country, making it a valuable tool for data-driven decision support on a national scale.

Social media has become the main venue for users to express their opinions and feelings, generating a vast number of available and valuable data to be scrutinized by researchers and marketers. This paper aims to extend previous studies analyzing social media reviews through text mining and sentiment analysis to provide useful recommendations for management in the restaurant industry.

The Lexalytics, a text mining artificial intelligence tool, is applied to analyze the text of the online reviews of the restaurants in a touristic Dutch village extracted from the most frequently used social media platforms focusing on the four restaurant quality factors, namely, food and beverage, service, atmosphere and value.

The findings of this research are presented by the identified key themes with comparisons of the customers’ review sentiment between a selected restaurant, Zwaantje, vis-à-vis its bench-mark restaurants set by a specific approach under the abovementioned quality dimensions, in which the food and beverage and service are the most commented by customers. Results demonstrate that text mining can generate insights from different aspects and that the proposed approach is valuable to restaurant management.

The paper provides a relatively big scale in numbers and resources of social media reviews to further explore the most important service dimensions in the restaurant industry in a specific tourist area. It also offers a useful framework to apply the text mining business intelligence tool by comparison of peers for local small business restaurant practitioners to improve their management skills beyond manually reading social media reviews.

This paper aims to identify the main themes shared in online reviews by airline travellers, as well as which of these themes were linked with higher and lower value for money ratings.

The research used mixed content analyses (i.e. quantitative and qualitative) to examine 1,200 reviews of six airline companies shared by airline travellers in a social media platform.

The analyses revealed nine themes in descriptions of airline travel experiences. These are the core services during “flights”, “airport” operations, crew and ground “staff”, ticket “classes”, “seats”, inflight “services”, “entertainment”, overall experiences of “airlines” and post-purchase recommendations of with which companies to “fly”. Low value for money ratings are linked with the “airport” and “flights” themes.

The results offer useful insights into airline travellers’ overall experiences based on social media information and facilitate the identification of the main themes linked with different value for money ratings.

This paper aims to embrace the challenge of performing a state-of-the-art scientific literature analysis in data science for hospitality and tourism. This is important because relatively little contemporary analysis has been published.

Data on over 800 publications were collected from the Scopus database and analyzed by the differing types of publications, evolution of publications across time, top publishers and outlets, publications per area and per topic, top keywords used, most cited papers and most productive authors.

Conclusions are drawn and some suggestions are offered regarding topics that are likely to provide opportunities for future research.

This paper identifies the need for analysis on state-of-the-art academic research published to-date on the application of methods and techniques relating to data science in hospitality and tourism.

Universities are an example of institutions that aggregate people around work/study who consume water, energy and produce waste daily in their activities, generating an impact on the environment. The purpose of this study is to determine the quantity, composition and recycling potential of waste generated at the Faculdade UnB Planaltina (FUP) campus, of the University of Brasilia in the Federal District, Brazil, to develop a waste management strategy compatible with national legislation and sustainable global practices.

This study was based on conducting on-site visits to identify the sources of generation, hazardousness, management and gravimetric characteristics of residual waste from 2015 to 2016. In 2016, a selective collection was implemented on the FUP campus, and since then, actions to raise awareness for the selective disposal and monitoring of waste were conducted with the academic community.

The results showed that the campus generates 148 kg of waste/day, whereas the per capita generation is 92 g/day. The production of hazardous waste is related to campus laboratories which manage it under a specific program. The campus restaurant is the place that generates the most waste, of which organic waste is the most representative. When categorizing the waste generated on campus, the authors found that the majority are recyclables at 67% of the total. This category includes material composed of cardboard, paper and plastic, all able to be recycled in the Federal District.

The recyclable waste generated at the FUP campus is being diverted from the city’s landfill because they are donated to a recycling cooperative. These actions promote income generation, social inclusion of waste pickers and a circular economy, all in compliance with the National Solid Waste Policy. As a result, the FUP campus is more in line with Brazilian legislation and the global context of adopting sustainable waste management amongst higher education institutions.

This paper contributes to the literature on sustainability in higher education by reporting the process of implementation of a waste management strategy in a university campus. Further, it presents tools and methods that can be used to achieve sustainability in waste management. The study also identifies that the crucial factor for the success of such actions is the mobilization and participation of the academic community in the process. It does so by presenting findings demonstrating how the University of Brasilia has been concerned with adopting pro-environmental measures for sustainable development.

Circular economy is an emerging concept which requires insights from a variety of disciplines, especially from sustainable operations management. Therefore, the purpose of this paper is to verify how formal and informal instruments of governance influence the induction of green practices in a green network located in Brazil, with implications for the circular economy.

Based on a review of the supply chain (SC), green supply chain management, and governance literature, proposals are made regarding the influence of governance instruments in inducing green practices. To investigate these propositions, a qualitative research was conducted using a single exemplary case study of a cosmetics supply network.

The authors present original research findings which have both expected and unexpected implications for the circular economy, due to the fact that the data analysis showed that the formal (contracts and environmental norms) and informal (trust and cooperation) instruments of governance positively influence the induction of green practices within the supply network.

This study contributes to supply network and governance theory by providing insights for better understanding of how governance instruments can induce green practices in a supply network, and it provides practical implications for SC managers, by showing the importance of considering different governance instruments. Implications for the circular economy are made.

Researchers in the field recognize the importance of the relationship between contractor and contractee in the process of information technology (IT) outsourcing. However, little is known about the impact of the manager's profile in this process. Thus, the objective of this research was to analyze the impact of the perception of competence, autonomy and relationship of public managers on relational governance (RG), as well as, to identify the effect of perceived control in this relationship.

This study uses a quantitative approach to investigate the impact of the behavioral characteristics of IT managers from the self-determination theory (SDT). The data were collected in Brazilian public institutions active in the areas of education, finance, statistics and technology, and the hypotheses were identified and evaluated using the technique of partial least squares structural equation modeling (PLS-SEM).

The results identified that managers' self-determination is related to the perception of control, which, consequently, impacts the RG by providing feelings of competence and autonomy capable of building a beneficial relationship with the IT provider.

This study promotes the understanding that upper management needs to support the autonomy of managers to increase their levels of intrinsic motivation when managing supplier deliveries.

The application of SDT to the IT outsourcing context provides new insights into the mediation of perceived control by explaining the relationship between managers' expectations and motivations as an important driver for RG.

Los investigadores en la materia reconocen la importancia de la relación entre contratista y contratado en el proceso de externalización de las tecnologías de la información (TI). Sin embargo, poco se sabe sobre el impacto del perfil del gestor en este proceso. Así, el objetivo de esta investigación fue analizar el impacto de la percepción de competencia, autonomía y relación de los gestores públicos en la gobernanza relacional (GR), así como, identificar el efecto del control percibido en esta relación.

Este estudio utiliza un abordaje cuantitativo para investigar el impacto de las características de comportamiento de los gestores de TI a partir de la teoría de la autodeterminación (TAD). Los datos fueron recolectados en instituciones públicas brasileñas que actúan en las áreas de educación, finanzas, estadística y tecnología, y las hipótesis fueron identificadas y evaluadas utilizando la técnica de modelado de ecuaciones estructurales por mínimos cuadrados parciales (PLS-SEM).

Los resultados identificaron que la autodeterminación de los directivos está relacionada con la percepción de control, en consecuencia, repercute en el GR al proporcionar sentimientos de competencia y autonomía capaces de construir una relación beneficiosa con el proveedor de TI.

Este estudio promueve la comprensión de que la alta dirección necesita apoyar la autonomía de los directivos para aumentar sus niveles de motivación intrínseca a la hora de gestionar las entregas de los proveedores.

La aplicación de la teoría de la autodeterminación al contexto de la subcontratación de TI proporciona nuevos conocimientos sobre la mediación del control percibido al explicar la relación entre las expectativas y motivaciones de los directivos como un importante impulsor de la GR.

Overall, there is a lack of research using online reviews as a proxy of customer experience when addressing the study of tourism in island destinations.

The current investigation aims to fill this gap by focussing on an African small island developing states, i.e. Cape Verde. This paper reports of tourist reviews extracted from TripAdvisor from “two islands of the senses” as coined by this archipelago’s national tourism organization, specifically Santo Antão and Fogo islands. The data analysis was performed through Leximancer software to generate concepts out of words, followed by themes.

The present research focussed on experiences in island tourism to identify their main dimensions based on visitors’ narratives in online reviews. The obtained results are of potential value to the literature by contributing to a better understanding of tourist experience in the context of tourism in islands in an understudied country, Cape Verde.

Results are presented and object of discussion vis-à-vis scientific literature and conclusions put forward in this journal paper.