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dc.contributor.authorCastillo, Franklin-
dc.contributor.authorNaranjo-Avalos, Hernán-
dc.contributor.authorBuele, Jorge-
dc.contributor.authorVarela-Aldás, José-
dc.contributor.authorAmaguaña, Yessenia-
dc.contributor.authorSalazar, Franklin-
dc.date.accessioned2022-06-20T14:42:37Z-
dc.date.available2022-06-20T14:42:37Z-
dc.date.issued2021-
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-3-030-71503-8_4-
dc.identifier.urihttp://repositorio.uti.edu.ec//handle/123456789/3274-
dc.description.abstractGeoreferenced tools have made it possible to use the information collected through e-collaboration environments in a better way. Nevertheless, no study has been found on quantifying the influence of software tools over the capacity of interpreting data of victims of some kind of felony. This paper aims to validate the technology acceptance of applications georeferencing crimes using a prototype that could be useful for certain institutions to generate public policies. A web prototype is implemented to georeference data provided by felony acts victims. The application’s prototype was validated by a group of 122 college students using the Technology Acceptance Model. The results were interpreted with the help of Kendall Tau-b correlation analysis where highly significant positive correlation values were obtained.es
dc.language.isoenges
dc.publisherCommunications in Computer and Information Science. Volume 1388 CCIS, Pages 44 - 54. 2nd International Conference on Applied Technologies, ICAT 2020. Virtual, Online. 2 December 2020 through 4 December 2020es
dc.rightsopenAccesses
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/es
dc.titleInterpreting Felony Acts Using Georeferenced Data. Case Study in Ambato, Ecuadores
dc.typearticlees
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