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Recent studies have shown that people who attend electronic dance music events and use drug checking services (DCS) are a predominantly white male, highly educated middle-class population. However, there is still a lack of data beyond sociodemographic characteristics that must be addressed. This paper aims to describe the drug use patterns and protective behavior strategies (PBS) used by testers and nontesters at Boom Festival 2018 and analyze the relationship between these behaviors and the decision to use the DCS.

This is an exploratory research based on a cross-sectional design using baseline data collected at the Boom Festival from testers (N = 343) and nontesters (N = 115).

Nontesters presented, in general, slightly higher frequencies of use for most drugs, whereas testers tended to adopt PBS more frequently. Moreover, testers planned their drug use more often than nontesters and set more limits on the amount of drugs they used in one session. Both of these behaviors work as predictors for using the DCS.

Our data suggest that DCS might not be easily accessible to all people who use drugs, reaching almost exclusively highly educated people that already apply several harm reduction strategies. Actions should be taken to promote service accessibility.

To the best of the authors’ knowledge, this paper is the first to compare the demographics, drug use and PBS adoption of DCS users with nonusers who attended the same festival.

This paper aims to develop an original model in the context of food-based experiences considering new experiential variables, such as to experience quality, memorability and quality of life (QOL), and their impact on marketing outcomes, namely, satisfaction and loyalty, approached from an experience perspective.

An empirical approach has been adopted. Data have been collected through an online and a paper-and-pencil method, using an original questionnaire addressed to tourists who had a food-based experience during their recent holidays. Partial least squares-structural equation modelling is the technique used for data analysis.

The results confirm that local food, enjoyed through quality experiences, is a determining factor in designing memorable products, achieving tourist satisfaction, improving their QOL and encouraging loyalty to experiential food-based practices.

Results should be interpreted within the context of this research because of the use of a sample conveniently selected.

Gastronomic experiences represent a successful strategic resource for tourist destinations and professionals who want to adapt their business/destination to the new requirements of the experiential context.

To the best of authors’ knowledge, this study is first to relate the impact of memorable and quality culinary experiences on the QOL of tourists, chasing, as a final result, loyal intentions towards a specific kind of experience (culinary) rather than towards the destination.

Este trabajo propone un modelo original en el contexto de las experiencias gastronómica que relaciona nuevas variables experienciales – Calidad de la Experiencia (EXPQ), Memorabilidad (MEM) y Calidad de vida (QOL) – con variables de resultado tradicionales del marketing turístico: satisfacción y lealtad, consideradas desde un nuevo enfoque experiencial.

Se ha optado por un enfoque empírico. Los datos han sido obtenidos por medio de una encuesta online y en papel, con un cuestionario original dirigido a turistas que han vivido una experiencia gastronómica en sus recientes vacaciones. Los datos han sido tratados con PLS-SEM.

Los resultados alcanzados confirman que las experiencias gastronómicas de calidad son un factor determinante para diseñar productos turísticos memorables, lograr la satisfacción de los turistas, mejorar su calidad de vida e incentivar la lealtad hacía prácticas experienciales vinculadas a la gastronomía.

Debido al uso de una muestra no-probabilística de conveniencia los resultados de este estudio sufren limitaciones en cuanto a su generalización.

Las experiencias gastronómicas representan un recurso estratégico para los destinos turísticos y los profesionales del sector que quieran adaptar su negocio/destino a las nuevas exigencias del entorno experiencial.

Este trabajo relaciona por primera vez el impacto de las experiencias gastronómicas memorables y de calidad en la calidad de vida de los turistas, planteando como resultado final la lealtad al tipo de experiencia, más que la intención de volver a visitar el destino.

Technology-facilitated abuse, so-called “tech abuse,” through phones, trackers, and other emerging innovations, has a substantial impact on the nature of intimate partner violence (IPV). The current chapter examines the risks and harms posed to IPV victims/survivors from the burgeoning Internet of Things (IoT) environment. IoT systems are understood as “smart” devices such as conventional household appliances that are connected to the internet. Interdependencies between different products together with the devices' enhanced functionalities offer opportunities for coercion and control. Across the chapter, we use the example of IoT to showcase how and why tech abuse is a socio-technological issue and requires not only human-centered (i.e., societal) but also cybersecurity (i.e., technical) responses. We apply the method of “threat modeling,” which is a process used to investigate potential cybersecurity attacks, to shift the conventional technical focus from the risks to systems toward risks to people. Through the analysis of a smart lock, we highlight insufficiently designed IoT privacy and security features and uncover how seemingly neutral design decisions can constrain, shape, and facilitate coercive and controlling behaviors.

This study aims to analyse the literature on the digital transformation of family businesses and the impact of artificial intelligence on this process, highlighting key areas of interest and future perspectives.

A bibliometric analysis is performed to explore the interconnection between variables and the relationships between authors, countries and journals in this research area. The Scopus database was used as of March 2024, and the data analysis was carried out with Bibliometrix for result analysis and VOSviewer for scientific mapping.

The analysis confirms the increasing relevance of the topic, with a high number of articles in 2023. Prominent journals are identified, and authors are mainly from China and Europe. Keywords “family business” and “family firms” are strongly linked, showing a connection to artificial intelligence and digital transformation. Family businesses are embracing the digital era, and research must respond accordingly.

This pioneering study offers a novel contribution, as no prior bibliometric analysis has addressed this topic. It lays the groundwork for future research, identifying emerging themes with significant future potential.

The purpose of this paper is to investigate the impact of COVID-19 pandemic on the changing relationship between technology and economic activity in MENA countries.

The generalized method of moments (GMM) was applied to explore the presence of dynamic causality between technology, inflation, unemployment, foreign direct investment, trade opening, gross fixed capital formation and economic growth for 14 MENA countries before and after COVID-19.

Empirical evidence shows that the economic predictor variables change signs and impact negatively the economic growth as a result of the adverse consequences of the MENA health crisis. More interestingly, there is a unique, positive, meaningful relationship between ICT and economic growth.

The results show that economic resilience in MENA is significantly affected by digital infrastructure during the epidemic crisis. The authors conclude that macroeconomic adjustment and innovation improve the predictive performance of the health news model. Countries could take strong measures to support new strategies to strengthen their innovation competitiveness.