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dc.contributor.authorGarcía Alonso, Javier
dc.contributor.authorPablo Martí, Federico 
dc.contributor.authorNúñez Barriopedro, Estela 
dc.date.accessioned2021-05-05T17:23:32Z
dc.date.available2021-05-05T17:23:32Z
dc.date.issued2021-03-30
dc.identifier.bibliographicCitationIndustrial Marketing Management, 2021, v. 95, p. 99-113en
dc.identifier.issn0019-8501
dc.identifier.urihttp://hdl.handle.net/10017/47725en
dc.description.abstractIn recent years, academics and professionals have proposed omnichannel management as the best approach to offering multiple channels to end customers. This approach has been reinforced by the recent crisis caused by Covid-19 and the consequent demand for digital channels. In the current literature there is an evident gap in the study of omnichannel management for manufacturing or wholesale companies and their relationships with other companies, which typically use B2B models. This article includes a model that permits the identification of causal characteristics in omnichannel management based on fuzzy cognitive maps (FCM), the simulation of possible scenarios and the impact that changes in the environment or in the organization's internal activities may have on omnichannel management. From the results of a Delphi process based on an international Panel of Experts and using complexity theory, a Fuzzy Cognitive Map (FCM) was built that can serve as a reference for B2B omnichannel management. The main value of the research is provided by the practical model that allows simulating what-if scenarios, that is, with the modification of the input conditions with respect to a base scenario and thus favors directing the omnichannel strategy to be followed in a B2B field.en
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectOmnichannel managementen
dc.subjectB2Ben
dc.subjectWhat-ifen
dc.subjectFuzzy cognitive mapsen
dc.titleOmnichannel Management in B2B. Complexity-based model. Empirical evidence from a panel of experts based on Fuzzy Cognitive Mapsen
dc.typeinfo:eu-repo/semantics/articleen
dc.subject.ecienciaEconomíaes_ES
dc.subject.ecienciaEconomicsen
dc.contributor.affiliationUniversidad de Alcalá. Departamento de Economía y Dirección de Empresases_ES
dc.date.updated2021-05-05T17:16:21Z
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1016/j.indmarman.2021.03.009en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.identifier.uxxiAR/0000037162
dc.identifier.publicationtitleIndustrial Marketing Managementen
dc.identifier.publicationvolume95
dc.identifier.publicationlastpage113
dc.identifier.publicationfirstpage99


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http://creativecommons.org/licenses/by-nc-nd/4.0/
Este ítem está sujeto a una licencia Creative Commons.