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Monitoring E-commerce Adoption from Online Data

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dc.contributor.author Blazquez, Desamparados es_ES
dc.contributor.author Domenech, Josep es_ES
dc.contributor.author Gil, José A. es_ES
dc.contributor.author Pont Sanjuan, Ana es_ES
dc.date.accessioned 2019-05-08T20:32:16Z
dc.date.available 2019-05-08T20:32:16Z
dc.date.issued 2018 es_ES
dc.identifier.issn 0219-1377 es_ES
dc.identifier.uri http://hdl.handle.net/10251/120149
dc.description.abstract [EN] The purpose of this paper is to propose an intelligent system to automatically monitor the firms¿ engagement in e-commerce by analyzing online data retrieved from their corporate websites. The design of the proposed system combines web content mining and scraping techniques with learning methods for Big Data. Corporate websites are scraped to extract more than 150 features related to the e-commerce adoption, such as the presence of some keywords or a private area. Then, these features are taken as input by a classification model that includes dimensionality reduction techniques. The system is evaluated with a data set consisting of 426 corporate websites of firms based in France and Spain. The system successfully classified most of the firms into those that adopted e-commerce and those that did not, reaching a classification accuracy of 90.6%. This demonstrates the feasibility of monitoring e-commerce adoption from online data. Moreover, the proposed system represents a cost-effective alternative to surveys as method for collecting e-commerce information from companies, and is capable of providing more frequent information than surveys and avoids the non-response errors. This is the first research work to design and evaluate an intelligent system to automatically detect e-commerce engagement from online data. This proposal opens up the opportunity to monitor e-commerce adoption at a large scale, with highly granular information that otherwise would require every firm to complete a survey. In addition, it makes it possible to track the evolution of this activity in real time, so that governments and institutions could make informed decisions earlier. es_ES
dc.description.sponsorship This work has been partially supported by the Spanish Ministry of Economy and Competitiveness with Grant TIN2013-43913-R, and by the Spanish Ministry of Education with Grant FPU14/02386.
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof Knowledge and Information Systems es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject.classification ECONOMIA APLICADA es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title Monitoring E-commerce Adoption from Online Data es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s10115-018-1233-7 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2009-08201/ES/Acceso Inteligente A Los Contenidos Para Mejorar Las Prestaciones De La Web/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MECD//FPU2014-02386/ES/FPU2014-02386/ es_ES
dc.rights.accessRights Abierto es_ES
dc.date.embargoEndDate 2019-06-28 es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Economía y Ciencias Sociales - Departament d'Economia i Ciències Socials es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.description.bibliographicCitation Blazquez, D.; Domenech, J.; Gil, JA.; Pont Sanjuan, A. (2018). Monitoring E-commerce Adoption from Online Data. Knowledge and Information Systems. 1-19. https://doi.org/10.1007/s10115-018-1233-7 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1007/s10115-018-1233-7 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 19 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\364646 es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
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