DC FieldValueLanguage
dc.contributor.authorGiovanis, Apostolos-
dc.contributor.authorSkiadas, Christos-
dc.date.accessioned2024-06-07T10:52:52Z-
dc.date.available2024-06-07T10:52:52Z-
dc.date.issued1999-07-01-
dc.identifierscopus-0032704671-
dc.identifier.issn0040-1625-
dc.identifier.other0032704671-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2502-
dc.description.abstractIn this article, a stochastic innovation diffusion model is proposed, derived from the original logistic growth model assuming that the future remaining growth of the underlying process is not known with certainty but is modeled using an appropriate stochastic process. At any time, the potential adopters of a product are affected by a number of socioeconomic factors that determine their nonuniform behavior, and the way they act is considered to be random. The stochastic model is solved analytically using the theory of reducible stochastic differential equations. The parameter estimators of the model are derived using two procedures for discrete observations of the process. Finally, the model is applied to the data of electricity consumption in Greece and the United States. The prediction of the consumption process is made possible by defining a subdomain such that all possible trajectories of the process should belong within a predefined probability.en_US
dc.language.isoenen_US
dc.relation.ispartofTechnological Forecasting and Social Changeen_US
dc.titleA stochastic logistic innovation diffusion model studying the electricity consumption in Greece and the United Statesen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/S0040-1625(99)00005-0en_US
dc.identifier.scopus2-s2.0-0032704671-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume61en_US
dc.relation.issue3en_US
dc.identifier.spage235en_US
dc.identifier.epage246en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsSubscriptionen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeArticle-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0003-1028-146X-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Articles / Άρθρα
CORE Recommender
Show simple item record

SCOPUSTM   
Citations

59
checked on Nov 23, 2024

Page view(s)

23
checked on Nov 23, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.