The explanation of behaviors concerning telemedicine acceptance is an evolving area of study. This topic is currently more critical than ever, given that the COVID-19 pandemic is making resources scarcer within the health industry. The objective of this study is to determine which model, the Theory of Planned Behavior or the Technology Acceptance Model, provides greater explanatory power for the adoption of telemedicine addressing outlier-associated bias. We carried out an online survey of patients. The data obtained through the survey were analyzed using both consistent partial least squares path modeling (PLSc) and robust PLSc. The latter used a robust estimator designed for elliptically symmetric unimodal distribution. Both estimation techniques led to similar results, without inconsistencies in interpretation. In short, the results indicate that the Theory of Planned Behavior Model provides a significant explanatory power. Furthermore, the findings show that attitude has the most substantial direct effect on behavioral intention to use telemedicine systems.

Nowadays, movie streaming is ubiquitous amongst the younger population, and it is a supposed substitute for movie piracy. Without prejudice to the previous, reasons of various kinds may cause users to download their favorite movies illicitly. The objective of this study is to identify if movie streaming increases movie piracy. For this purpose, an online survey of potential users of movie streaming services was conducted in Chile. The sample was divided into students and not students, and logit models were used to analyze the data obtained. The results indicate that, on one hand, movie streamers are intentions to engage the download movie illegally, and on the other hand, peer pressure explains movie piracy among students.