Publications by authors named "Juan Pedro Cabrera-Sanchez"
Article Synopsis
- The paper explores the factors influencing companies' intentions to adopt Big Data Applications, noting the scarcity of research in this area.
- It utilizes an updated UTAUT model, incorporating elements like resistance to use and perceived risk, and employs a neural network analysis to predict adoption.
- The findings highlight the effectiveness of the multilayer perceptron model for predicting Big Data usage in companies, marking this study as a novel approach with significant theoretical and practical implications.
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.
View Article and Find Full Text PDFThe COVID-19 pandemic is a serious threat to human health, the global economy, and the social fabrics of contemporary societies as many aspects of modern everyday life, including travel and leisure, have been shattered to pieces. Hence, a COVID-19 mandatory vaccination as a precondition for international travel is being debated in many countries. Thus, the present research aimed to study the intention to take the COVID-19 vaccine as a precondition for international travel using an extended Norm-Activation Model.
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