Physical closure of educational institutes worldwide due to the COVID-19 pandemic has resulted in the emergence of a new era of video-based learning. The current circumstances are unique that have ...

https://www.tandfonline.com/doi/pdf/10.1080/10447318.2020.1848164

University Students’ Perception of Video-Based Learning in Times of COVID-19: A TAM/TTF Perspective

http://www.cell.com/article/S2405844022005242/pdf

SEM-ANN-based approach to understanding students’ academic-performance adoption of YouTube for learning during Covid

Background: Sexually transmitted infections and pregnancy in adolescents are acknowledged public health problems in many countries. Although it is known that the proper use of condoms allows avoiding these health problems, their use in Chile is still limited, for unknown reasons. Objective: Based on planned behavioural theory, the aim was to validate a behaviour model regarding condom use by measuring the influence of the variables that predict this use among Chilean university students. Methods: A cross-sectional descriptive study was carried out in October 2016 among 151 Chilean university students belonging to the health and engineering areas. The information was collected through a self-administered survey. The sample was divided into two groups: stable and not stable relationships. Partial least squares (PLS) regression was used for the analysis. Results: It was possible to explain the condom use of the students by 57%. The attitude was the main variable related to the intention of using condoms, together with the perceived behavioural control. Additionally, there are statistically significant differences in the variables that predict condom use among students with stable relations compared to those without a stable relationship. Conclusions: The planned behavioural theory is useful for predicting condom use behaviour when students have a stable partner.

/pdf/predicting-condom-use-among-undergraduate-students-based-on-5ahxj919g5.pdf

Predicting Condom Use among Undergraduate Students Based on the Theory of Planned Behaviour, Coquimbo, Chile, 2016

The blood donation process is essential for health systems. Therefore, the ability to predict donor flow has become relevant for hospitals. Although it is possible to predict this behaviour intention from donor questionnaires, the need to reduce social contact in pandemic settings leads to decreasing the extension of these surveys with the minimum loss of predictivity. In this context, this study aims to predict the intention to give blood again, among donors, based on a limited number of attributes. This research uses data science and learning concepts based on symmetry in a particular classification to predict blood donation intent. We carried out a face-to-face survey of Chilean donors based on the Theory of Planned Behaviour. These data, including control variables, were analysed using the decision tree technique. The results indicate that it is possible to predict the intention to donate blood again with an accuracy of 84.17% and minimal variables. The added scientific value of this article is to propose a more simplified way of measuring a multi-determined social phenomenon, such as the intention to donate blood again and the application of the decision tree technique to achieve this simplification, thereby contributing to the field of data science.

https://www.mdpi.com/2073-8994/13/8/1460/pdf

Predicting the Intention to Donate Blood among Blood Donors Using a Decision Tree Algorithm

You Tube has become a vital platform, amongst other social-media sites, especially in e-learning / self-learning and in the unforeseen time of COVID-19 This study explores the influence of YouTube videos on users' behavioral intention regarding e-learning acceptance and their perceptions through targeting online university students (n=180) in Jordan, using the PLS-SEM procedure through SmartPLS software The findings indicated that users' behavioral intention to adopt new e-learning was positively influenced by performance expectancy, perceived usefulness and ease-of-use The findings were presented and discussed in relation to the Technology Acceptance Model (TAM) and UTATU frameworks

The Influence of YouTube Videos on ELA During the COVID-19 Outbreaks in Jordan

This study aims to predict and explain the acceptance of social video platforms for learning. A research model is proposed that explains that the intention of using these platforms is based on the perception of performance, social influence, and hedonic motivation. To validate the model, 568 Brazilian YouTube users were surveyed. The data were analyzed with partial least squares structural equations modeling (PLS-SEM). In particular, the predictive power of the model was assessed using the PLSpredict procedure. The results of this study can help to understand and forecast the use of these platforms for learning in developing countries.

Predicting and Explaining the Acceptance of Social Video Platforms for Learning: The Case of Brazilian YouTube Users

Predicting behaviors around telemedicine acceptance in developing countries is an important developing area of study. This importance has been enhanced since the emergence of the COVID-19 pandemic, especially in Latin America. In this context, this study aims to explore the effect of plasticity on telemedicine acceptance in Brazil. This paper focuses on Brazilian patients and their acceptance of telemedicine through the Theory of Planned Behavior and the concept of Plasticity as a superordinate factor of the patients’ personality traits. An online survey of Brazilian patients was carried out, and structural model modeling was then utilized. Results indicate that the proposed model explains 62.1% of the behavioral intention of the use of telemedicine by the patients. Furthermore, the findings suggest that attitude has the most substantial direct effect on behavioral intention, with plasticity playing a considerable role in the strength of the impact. Government strategies for the spread of telemedicine in Latin America could consider these results for their design.

/pdf/predicting-telemedicine-adoption-an-empirical-study-on-the-1djan4ikbu.pdf

Predicting Telemedicine Adoption: An Empirical Study on the Moderating Effect of Plasticity in Brazilian Patients

Prior literature recognizes two schools of thought on value creation in projects: one based on transaction cost economics and the other on relational-based theories. There is little empirical research on the impacts of these approaches within different project contexts. This study aims at analyzing the effect of value creation processes on the project value moderated by requirements uncertainty and project complexity, two critical contextual variables. We used a cross-sectional survey to collect data from 168 project managers in Chile. Three groups were distinguished from a cluster analysis considering the requirements uncertainty and project complexity. A proposed conceptual framework is validated globally and for each group through a multigroup analysis via partial least squares structural equation modeling (PLS-SEM). The global model results indicate an R2 of 0.37, and for the groups, the R2 ranges from 0.33 to 0.85, and the path coefficients range from 0.57 to 0.92. Additionally, the PLS-SEM multigroup analysis shows significant statistical differences. Group 3 (low complexity and low uncertainty) is different from Group 1 (high complexity and high uncertainty) and Group 2 (high complexity and low uncertainty), with p values of 0.027 and 0.023, respectively. Therefore, these empirical findings contribute to the literature demonstrating that value creation processes impact the project value. In particular, these effects are moderated by the current level of project requirements uncertainty and complexity in different contexts.

Moderating Effects of Requirements Uncertainty and Project Complexity on Value Creation Processes and Project Value: A Multigroup Analysis via Partial Least Squares Structural Equation Modeling

Explaining behaviors around telemedicine acceptance in developing countries is an important developing area of study. This study aims to explore the effect of plasticity on telemedicine acceptance in Brazil. This paper focuses on Brazilian patients and their acceptance of telemedicine through the Theory of Planned Behavior and the concept of Plasticity as a superordinate factor of the patients’ personality traits. An online survey of Brazilian patients was carried out, and PLS analysis was then utilized on the results. Results indicate that the proposed model explains 62.1% of the behavioral intention of the use of telemedicine by the patients. Furthermore, the findings indicate that attitude has the strongest direct effect on behavioral intention, with plasticity playing a considerable role in the strength of the effect.

Ari Mariano-Melo

Papers

Predicting and Explaining the Acceptance of Social Video Platforms for Learning: The Case of Brazilian YouTube Users

Predicting Telemedicine Adoption: An Empirical Study on the Moderating Effect of Plasticity in Brazilian Patients

Moderating Effects of Requirements Uncertainty and Project Complexity on Value Creation Processes and Project Value: A Multigroup Analysis via Partial Least Squares Structural Equation Modeling

Telemedicine Acceptance in Brazil : Explaining behavioral intention to move towards internet-based medical consultations