dc.creator | Olmedilla Fernández, María | es |
dc.creator | Martínez Torres, María del Rocío | es |
dc.creator | Toral, S. L. | es |
dc.date.accessioned | 2017-05-23T16:35:47Z | |
dc.date.available | 2017-05-23T16:35:47Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Olmedilla Fernández, M., Martínez Torres, M.d.R. y Toral, S.L. (2015). Examining the power-law distribution among eWOM communities: a characterisation approach of the Long Tail. Technology analysis & strategic management, 28 (5) | |
dc.identifier.issn | 0953-7325 | es |
dc.identifier.uri | http://hdl.handle.net/11441/60354 | |
dc.description.abstract | Nowadays electronic word-of-mouth (eWOM) communities symbolise a
significant source of information that helps customers to make informed
purchasing decisions. Through eWOM communities, a great audience of
users is able to acquire knowledge from reviews concerning products
and services that are less popular to the majority. The Long Tail effect
is a manifestation of such redistribution of demand from popular
products to niche products. In this paper, a new methodology that
mathematically fits the relationship between the power-law distribution
and the Long Tail from an eWOM community is developed. In addition,
this paper defines a tool for finding niche products inaccessible through
conventional channels. The results are consistent in showing that not all
the categories fitting a power-law distribution are characterised by the
Long Tail phenomenon, and conversely some of those having a Long
Tail do not fit a power-law distribution. | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Taylor & Francis (Routledge) | es |
dc.relation.ispartof | Technology analysis & strategic management, 28 (5) | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | eWOM | es |
dc.subject | Online user reviews | es |
dc.subject | Power-law distribution | es |
dc.subject | Long Tail theory | es |
dc.subject | Product categorisation | es |
dc.title | Examining the power-law distribution among eWOM communities: a characterisation approach of the Long Tail | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería Electrónica | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Administración de Empresas y Comercialización e Investigación de Mercados (Marketing) | es |
dc.relation.publisherversion | http://www.tandfonline.com/doi/full/10.1080/09537325.2015.1122187 | es |
dc.identifier.doi | 10.1080/09537325.2015.1122187 | es |
idus.format.extent | 13 p. | es |
dc.journaltitle | Technology analysis & strategic management | es |
dc.publication.volumen | 28 | es |
dc.publication.issue | 5 | es |