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. To this end, it is investigated whether family and social engagement and health and relaxation have a positive impact on the behavioral intention of the potential tourist and whether this influences sustainability due to the importance of DFT in the new economic framework. METHODS: With a quantitative approach, the methodology used consisted of an online questionnaire among potential travelers. IBM SPSS Statistics 22.0 statistical software was used to evaluate the data obtained and confirm the relationships of the model and the research hypotheses. RESULTS: The results of the questionnaire assessed the contribution of each construct to the tourist's behavioral intention and the tourist's decision to make the decision to undertake a DFT experience. CONCLUSIONS: DFT can be a driver of economic sustainability and health therapy in tourism in the digital age. This study aims to expand the lines of research on DFT and determine the complex factors that can lead a tourist to participate in the DFT experience. The results obtained can help managers of companies in the sector to offer more efficient and sustainable services that contribute to the health and wellbeing of tourists as a differentiating factor.

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 (n = 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. The findings of this work are of great value both for the actors involved in the design and implementation of public policies and for those responsible for local governance in their objective to improve citizens' experience of the services provided and in exceptional situations such as the one experienced as a result, of-COVID-19.

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. Search criteria were applied, initially resulting in a total of 331 articles in the period 2008-2022. Finally, after applying exclusion criteria, a total of 218 articles of interest were obtained. The results of this research present the relevant notable topics in HR analytics, providing a quantitative analysis that gives an overview of HR analytics featuring tables, graphs, and maps, as well as identifying the main performance indicators for the production of articles and their citations. The scientific literature on HR analytics is a novel, adaptive area that provides the option to transform traditional HR practices. Through the use of technology, HR analytics can improve HR strategies and organisational performance, as well as people's experiences.

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. The research results are presented in two parts: the first is a quantitative analysis that provides an overview of virtual reality (VR) technology used in the educational field, with tables, graphs, and maps, highlighting the main performance indicators for the production of articles and their citation. The results obtained found a total of 718 articles of which the following were analyzed 273 published articles. The second stage consisted of an inductive type of analysis that found six major groups in the cited articles, which are instruction and learning using VR, VR learning environments, use of VR in different fields of knowledge, learning processes using VR applications or games, learning processes employing simulation, and topics published during the Covid-19 pandemic. Another important aspect to mention is that VR is used in many different areas of education, but until the beginning of the pandemic the use of this so-called "disruptive process" came mainly from students, Institutions were reluctant and slow to accept and include VR in the teaching-learning processes.

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. The focus group methodology has made it possible to gather the beliefs and opinions of company employees about the use of these resources and tools. The results obtained show the positive effect of the use of virtual worlds on the cohesion of the teleworking team.

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. METHODS: The proposed model is an extension of the TAM, and was empirically tested using data obtained from a survey of mHealth app users (n=310). The research analyzed 2 additional external factors: promotion of health and health benefits. Data were analyzed with a PLS-SEM software and confirmed that gender moderates the adoption of mHealth apps in Spain. The explanatory capacity (R2 for behavioral intention to use) of the proposed model was 76.4%. Likewise, the relationships of the external constructs of the extended TAM were found to be significant. RESULTS: The results show the importance of healthy habits developed by using mHealth apps. In addition, communication campaigns for these apps should be aimed at transferring the usefulness of eHealth as an agent for transforming attitudes; additionally, as more health benefits are obtained, ease of use becomes greater. Perceived usefulness (PU; ß=.415, t0.001;4999=3.442, P=.001), attitude toward using (ß=.301, t0.01;499=2.299, P=.02), and promotion of health (ß=.210, t0.05;499=2.108, P=.03) were found to have a statistically significant impact on behavior intention to use eHealth apps (R2=76.4%). Perceived ease of use (PEOU; ß=.179, t0.01;499=2.623, P=.009) and PU (ß=.755, t0.001;499=12.888, P<.001) were found to have a statistically significant impact on attitude toward using (R2>=78.2%). Furthermore, PEOU (ß=.203, t0.01;499=2.810, P=.005), health benefits (ß=.448, t0.001;499=4.010, P<.001), and promotion of health (ß=.281, t0.01;499=2.393, P=.01) exerted a significant impact on PU (R2=72.7%). Finally, health benefits (ß=.640, t0.001;499=14.948, P<.001) had a statistically significant impact on PEOU (R2=40.9%), while promotion of health (ß=.865, t0.001;499=29.943, P<.001) significantly influenced health benefits (R2=74.7%). CONCLUSIONS: mHealth apps could be used to predict the behavior of patients in the face of recommendations to prevent pandemics, such as COVID-19 or SARS, and to track users' symptoms while they stay at home. Gender is a determining factor that influences the intention to use mHealth apps, so perhaps different interfaces and utilities could be designed according to gender.

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. Data analysis was carried out using a PLS-SEM statistical analysis. The data collection procedure consisted of 50 people being surveyed in the initial pre-test phase and later 455 tourists in the fieldwork phase with national or foreign people over the age of 18 who visit or have visited the national parks of Costa Rica. The results show that there is a positive relationship between eco-friendly performance and the intention to use VR technology, as well as the actual use of VR for the benefit of the environment. The UTAUT2 model was used to find the effect of eco-friendly performance on the intention to use VR, as well as the use of this technology during visits to tourist destinations. The originality of the work is in answering the question of how to develop sustainable tourism in Costa Rica with the use of VR devices and applications that also allow the conservation of flora and fauna.

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. OBJECTIVE: Use an extended Technology Acceptance Model (TAM) model to investigate whether citizens would be willing to accept and adopt a mobile application that indicates if they have been in contact with people infected with COVID-19. Research Methodology: A survey method was used and the information from 482 of these questionnaires was analyzed using Partial Least Squares-Structural Equation Modelling. RESULTS: The results show that the Intention to Use this app would be determined by the Perceived Utility of the app and that any user apprehension about possible loss of privacy would not be a significant handicap. When having to choose between health and privacy, users choose health. CONCLUSIONS: This study shows that the extended TAM model which was used has a high explanatory power. Users believe that the APP is useful (especially users who studied in higher education), that it is easy to use, and that it is not a cause of concern for privacy. The highest acceptance of the app is found in over 35 years old's, which is the group that is most aware of the possibility of being affected by COVID-19. The information is unbelievably valuable for developers and governments as users would be willing to use the APP.

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. This paper deals with the problem of uncertainty propagation in FGCM dynamics with Hebbian learning. In addition, this paper applies differential Hebbian learning (DHL) and balanced DHL to FGCMs for the first time. We analyze the uncertainty propagation in eight different scenarios in a classical chemical control problem. The results give insight into the propagation of the uncertainty or greyness in the iterations of the FGCMs. The results show that the nonlinear Hebbian learning is the choice with less uncertainty in steady final grey states for Hebbian learning algorithms.