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

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. Objective: To identify the factors of innovation-oriented organizational management, generated by the collaboration of the professional grouping of Kibs companies through the systematization of knowledge, which serve to conceptually delimit the DT phenomenon. Ultimately, it is expected to establish recommendations for this type of companies based on providing services with high knowledge value that strive to digitally transform their businesses. Originality: the paper contributes to advancing the conceptual understanding of DT through the study of Kibs companies, which remain understudied. Likewise, there is no known study that analyzes the factors that give rise to DT in a professional grouping of small Kibs companies. It is clear that this union of small companies generates a strong internal capacity for knowledge absorption, through daily interactions with clients and public administrations, which favors the process of implementing certain technological and strategic components that are beneficial for the development of professional activity and increases the propensity to innovate. Methodology: qualitative content was analysed using a grounded theory methodology including interviews with experts and the managers of the Kibs companies in the professional sector to obtain a solid basis that can be used to identify the most relevant factors of DT. Findings/results: as DT is a multidimensional phenomenon of individual companies, this study presents a conceptual framework for the term with the strategic requirements of the market, organizations, public institutions and technological infrastructures of the professional sector. By considering the disruptive factors of digital development in this macroenvironment, conclusions can be made about the basic principles and effects of DT.

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.

Patient Satisfaction in the Peruvian Health Services: Validation and Application of the HEALTHQUAL Scale.

During recent years, public-private partnerships (PPPs) in the health sector have been an attractive alternative for improving healthcare services in developing countries such as Peru. Therefore, it is fundamental to consider a comprehensive set of healthcare qualities, like the HEALTHQUAL scale, when we measure dimensions of healthcare service quality. Currently, no studies have applied HEALTHQUAL in Peruvian hospitals. The purposes of this study were to (1) validate and evaluate the application of the HEALTHQUAL scale to measure user satisfaction in outpatient services at two PPP hospitals in Peru; and (2) test the relationship between user satisfaction, efficiency, and loyalty. A descriptive, cross-sectional study based on the HEALTHQUAL scale was carried out at the end of 2018. The measurement items were satisfaction with healthcare personnel, satisfaction with nonhealthcare personnel, satisfaction with facilities and equipment, perception of efficiency, and trust. The scale was administered to a nonprobability sample of 250 users who attended one of two PPP hospitals-Barton and Kaelin. The application of partial least squares path modeling significantly impacted on the perceived efficiency in the items of healthcare personnel, nonhealthcare personnel, and facilities and equipment. The HEALTQUAL scale demonstrated sufficient validity and thus can be applied for measuring user satisfaction in PPP hospitals.

What Drives Volunteers to Accept a Digital Platform That Supports NGO Projects?

Technology has become the driving force for both economic and social change. However, the recruitment of volunteers into the projects of non-profit-making organizations (NGO) does not usually make much use of information and communication technology (ICT). Organizations in this sector should incorporate and use digital platforms in order to attract the most well-prepared and motivated young volunteers. The main aim of this paper is to use an extended Technology Acceptance Model (TAM) to analyze the acceptance of a technological platform that provides a point of contact for non-profit-making organizations and potential volunteers. The TAM is used to find the impact that this new recruitment tool for volunteers can have on an ever-evolving industry. The TAM has been extended with the image and reputation and visual identity variables in order to measure the influence of these non-profit-making organizations on the establishment and implementation of a social network recruitment platform. The data analyzed are from a sample of potential volunteers from non-profit-making organizations in Spain. A structural equation approach using partial least squares was used to evaluate the acceptance model. The results provide an important contribution to the literature about communication in digital environments by non-profit-making organizations as well as strategies to improve their digital reputation.