dc.creator | Villarejo Ramos, Ángel Francisco | es |
dc.creator | Cabrera-Sánchez, Juan-Pedro | es |
dc.creator | Lara-Rubio, Juan | es |
dc.creator | Liébana-Cabanillas, Francisco | es |
dc.date.accessioned | 2022-08-04T10:55:59Z | |
dc.date.available | 2022-08-04T10:55:59Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Villarejo Ramos, Á.F., Cabrera-Sánchez, J., Lara-Rubio, J. y Liébana-Cabanillas, F. (2021). Predicting big data adoption in companies with an explanatory and predictive model. Frontiers in Psychology, 12, 651398. | |
dc.identifier.issn | 1664-1078 | es |
dc.identifier.uri | https://hdl.handle.net/11441/136043 | |
dc.description.abstract | The purpose of this paper is to identify the factors that affect the intention to use Big
Data Applications in companies. Research into Big Data usage intention and adoption is
scarce and much less from the perspective of the use of these techniques in companies.
That is why this research focuses on analyzing the adoption of Big Data Applications by
companies. Further to a review of the literature, it is proposed to use a UTAUT model as
a starting model with the update and incorporation of other variables such as resistance
to use and perceived risk, and then to perform a neural network to predict this adoption.
With respect to this non-parametric technique, we found that the multilayer perceptron
model (MLP) for the use of Big Data Applications in companies obtains higher AUC
values, and a better confusion matrix. This paper is a pioneering study using this hybrid
methodology on the intention to use Big Data Applications. The result of this research
has important implications for the theory and practice of adopting Big Data Applications. | es |
dc.format | application/pdf | es |
dc.format.extent | 12 p. | es |
dc.language.iso | eng | es |
dc.publisher | Frontiers Media | es |
dc.relation.ispartof | Frontiers in Psychology, 12, 651398. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Big data | es |
dc.subject | Adoption | es |
dc.subject | Intention to use | es |
dc.subject | Neural networks | es |
dc.subject | Predictive model | es |
dc.title | Predicting big data adoption in companies with an explanatory and predictive model | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Administración de Empresas y Comercialización e Investigación de Mercados (Marketing) | es |
dc.relation.publisherversion | https://doi.org/10.3389/fpsyg.2021.651398 | es |
dc.identifier.doi | 10.3389/fpsyg.2021.651398 | es |
dc.journaltitle | Frontiers in Psychology | es |
dc.publication.volumen | 12 | es |
dc.publication.initialPage | 651398 | es |