Fernandez Robin, Cristobal

This research aims to determine which factors influence the Intention to Use Technologies in the education sphere, by using Technology Acceptance Model with university students across two technologies having similar charac‐ teristics: SIGA and SGDI. The results shows that the most important factor when determining Intention to Use of an educational technology is Perceived Useful‐ ness. Subsequently, TAM is applied considering the moderating effect of inten‐ sity, finding that for intensive SGDI users, the influence of Perceived Usefulness is greater than in normal users, and conversely, the influence of Perceived Ease of Use in intensive users of SIGA is greater than that in normal users, whereas the impact of Perceived Usefulness decreases. Recommendations states that future investigations should focus on the study of the impact generated by the use of software in classrooms, both for students during their training process and for professors in their educational work.

This research aims to determine why people use Social Networks using an adaptation of the UTAUT2 model. The proposed model considers Subjective Norm, Perceived Playfulness, Perceived Ease of Use, and Perceived Usefulness as predictors of the Intention to Use. Five social networks were chosen in order to carry out this research: Facebook, Twitter, Instagram, WhatsApp, and LinkedIn. Findings shows that social networks are more useful to serve his or her purposes when more people close to the individual are using them. Perceived Playfulness proves to be a strong predictor of Intention to Use Facebook, Instagram, and WhatsApp, all these social networks are used for leisure purposes. Perceived Usefulness proves to be the most powerful predictor for Intention to Use in LinkedIn, this social network is mainly used for work purposes. Finally, both Perceived Playfulness and Perceived Usefulness are good predictors of Intention to Use Twitter. Implications are discussed.