Demand for fixed and mobile telephony: An application of artificial neural networks

dc.contributor.authorAndrés Milton Coca Carasila
dc.contributor.authorJuan Villagómez Méndez
dc.contributor.authorJuan Villagómez Méndez
dc.contributor.authorUniversidad Autónoma de Guerrero
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T19:06:59Z
dc.date.available2026-03-22T19:06:59Z
dc.date.issued2009
dc.description.abstractCataloging goods or services as "extensions of human senses like vision, hearing or touch" shows the importance of the role they play in our lives; as well as the development they have reached driven by human needs; it shows a dynamic and important market. Mobile or cell phone services is the trigger of these expressions, in addition to further topic of commentary, research and concern of the scientific community and international agencies such as The World Economic Forum at Davos. With this investigation we analyzed this market, wherein demand and supply of services and equipment take an active part, striving to meet the users’ growing needs and desires. We sought to analyze, specifically, the demand for fixed and mobile telephony, trying to elucidate a particular situation and an immediate and uncertain future, especially for the participant who bears the consequences, fixed telephony. To this end, we propose the application of innovative techniques, such as the Artificial Neural Networks, which will assist us in this regard.
dc.identifier.doi10.5295/cdg.19100ac
dc.identifier.urihttps://doi.org/10.5295/cdg.19100ac
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/74147
dc.language.isoen
dc.publisherUniversity of the Basque Country
dc.relation.ispartofCuadernos de Gestión
dc.sourceUniversity of San Simón
dc.subjectTelephony
dc.subjectPhone
dc.subjectTelecommunications
dc.subjectMobile phone
dc.subjectMobile telephony
dc.subjectBusiness
dc.subjectGoods and services
dc.subjectComputer science
dc.subjectMarketing
dc.titleDemand for fixed and mobile telephony: An application of artificial neural networks
dc.typearticle

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