Internet interventions and therapies for addressing the negative impact of digital overuse: a focus on digital free tourism and economic sustainability.

Background: The excessive use of information technologies (IT) and online digital devices are causing symptoms of burnout, anxiety, stress and dependency that affect the physical and mental health of our society, extending to leisure time and work relationships. Digital free tourism (DFT) is a phenomenon that emerges as a solution to technostress and pathologies derived from digital hyperconnection. The objective of this research is to advance the knowledge of new structures of motivational factors that can understand the decision of a tourist to make a DFT trip.

Digital Transformation and Local Government Response to the COVID-19 Pandemic: An Assessment of Its Impact on the Sustainable Development Goals.

This paper analyzes how Digital Transformation (DT) processes have influenced the Attitude of local governments (LGs) toward the COVID-19 pandemic and their effect on achieving the United Nations' Sustainable Development Goals (SDGs). The data were collected from LGs in Spain ( = 124) through a questionnaire in which the IT skills of their workers, the DT processes, budgets, degree of regulatory compliance, and implementation of trust seals were measured, together with the IT security measures adopted. The contrast between the proposed model and the results showed that the direct influence of IT security influences the government's attitude toward COVID-19 and DT implementing actions to achieve SDGs.

Exploring the Evolution of Human Resource Analytics: A Bibliometric Study.

The objective of this study is to identify and analyze the most relevant scientific work being undertaken in HR analytics. Additionally, it is to understand the evolution of the conceptual, intellectual, and social structure of this topic in a way that allows the expansion of empirical and conceptual knowledge. Bibliometric analysis was performed using Bibliometrix and Biblioshiny software packages on academic articles indexed on the Scopus and Web of Science (WoS) databases.

A study of the factors which influence digital transformation in Kibs companies.

Unlabelled: Eighteen interviews were used in this research to inductively conceptualize the factors that influence digital transformation (DT) in Kibs companies that provide multidisciplinary Knowledge Intensive Business Services. Two main groups were identified: factors of DT and use in the new digital environment. Using the findings obtained, a comparison was made with the existing literature and the most relevant aspects of DT as a disruptive phenomenon which can generate intra-organizational competitive advantage are exposed.

Exploring employees' beliefs regarding the potential benefits of virtual worlds for group cohesion: gather town.

As a consequence of advances in Information and Communication Technologies, teleworking is becoming more and more common in organizations. These new ways of working create new challenges for companies such as team cohesion despite working in different locations. This article aims to analyze the effect of the use of so-called "virtual worlds" on the group cohesion of employees in organizations.

Virtual Reality Technology: Analysis based on text and opinion mining.

The purpose of this research is to highlight the importance of periodically analyzing the data obtained from the technological sources used by customers, such as user comments on social networks and videos, using qualitative data analysis software. This research analyzes user sentiments, words, and opinions about virtual reality (VR) videos on YouTube in order to explore user reactions to such videos, as well as to establish whether this technology contributes to the sustainability of natural environments. User-generated data can provide important information for decision making about future policies of companies that produce video content.

Systematic literature review and bibliometric analysis on virtual reality and education.

The objective of this study is to identify and analyze the scientific literature with a bibliometric analysis to find the main topics, authors, sources, most cited articles, and countries in the literature on virtual reality in education. Another aim is to understand the conceptual, intellectual, and social structure of the literature on the subject and identify the knowledge base of the use of VR in education and whether it is commonly used and integrated into teaching-learning processes. To do this, articles indexed in the Main Collections of the Web of Science, Scopus and Lens were analyzed for the period 2010 to 2021.

Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study.

Background: An increasing number of mobile health (mHealth) apps are becoming available for download and use on mobile devices. Even with the increase in availability and use of mHealth apps, there has still not been a lot of research into understanding the intention to use this kind of apps.

Objective: The purpose of this study was to investigate a technology acceptance model (TAM) that has been specially designed for primary health care applications.

Eco-friendly performance as a determining factor of the Adoption of Virtual Reality Applications in National Parks.

The purpose of this study is to find the key factors of influence for the use and acceptance of Virtual Reality (VR) by tourists visiting National Parks in Costa Rica. The aim is to find whether tourists are willing to use VR to contribute to the eco-friendly performance of the area they visit and to determine whether they are willing to use VR in environmental tourism to protect flora and fauna. This study is quantitative and uses the theoretical Unified Theory of Acceptance and Use of Technology (UTAUT) Model and a survey as the research instrument to obtain data.

Researching COVID-19 tracing app acceptance: incorporating theory from the technological acceptance model.

Background: The expansion of the coronavirus pandemic and the extraordinary confinement measures imposed by governments have caused an unprecedented intense and rapid contraction of the global economy. In order to revive the economy, people must be able to move safely, which means that governments must be able to quickly detect positive cases and track their potential contacts. Different alternatives have been suggested for carrying out this tracking process, one of which uses a mobile APP which has already been shown to be an effective method in some countries.

Uncertainty Propagation in Fuzzy Grey Cognitive Maps With Hebbian-Like Learning Algorithms.

This paper is focused on an innovative fuzzy cognitive maps extension called fuzzy grey cognitive maps (FGCMs). FGCMs are a mixture of fuzzy cognitive maps and grey systems theory. These have become a useful framework for facing problems with high uncertainty, under discrete small and incomplete datasets.