Understanding the internet banking adoption by Portuguese customers - a unified theory of acceptance and use of technology and perceived risk application.

Trabalho de Projeto apresentado como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

E-Health individual adoption - empirical model based on UTAUT 2.

The future of health care delivery is becoming more citizen-centred, as today’s user is more active, better informed and more demanding. The European Commission is promoting online health services and, therefore, member states will need to boost deployment and use of online services. This makes e-health adoption an important field to be studied and understood. This study applied the extended unified theory of acceptance and usage technology (UTAUT2) to explain patients’ individual adoption of e-health. An online questionnaire was administrated Portugal using mostly the same instrument used in UTAUT2 adapted to e-health context. We collected 386 valid answers. Performance expectancy, effort expectancy, social influence, and habit had the most significant explanatory power over behavioural intention and habit and behavioural intention over technology use. The model explained 52% of the variance in behavioural intention and 32% of the variance in technology use. Our research helps to understand the desired technology characteristics of ehealth. By testing an information technology acceptance model, we are able to determine what is more valued by patients when it comes to deciding whether to adopt e-health systems or not.

Mobile payment

Este estudo visa perceber quais os principais determinantes da adopção e recomendação da tecnologia de pagamentos móveis. Para atingir este objectivo, foi desenvolvido um modelo de pesquisa que combinou os modelos de adopção unified theory of acceptance and use of technology 2 (UTAUT2) e diffusions on innovations (DOI), juntamente com a variável perceived technology security (PTS). Foi realizado um questionário online, tendo sido obtidas 301 respostas válidas. Os dados recolhidos foram analisados utilizando a técnica de structured equation modeling (SEM), de forma a testar empiricamente o modelo e pesquisa. As principais conclusões retiradas são que os principais factores, com efeitos directos e indirectos, para a adopção e recomendação da tecnologia de pagamentos móveis são compatibility, perceived technology security, performance expectations, innovativeness e social influence. As conclusões deste estudo fornecem informações úteis às partes interessadas na tecnologia de pagamentos móveis.