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How mobile technologies support business models: Case study-based empirical analysis

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How mobile technologies support business models: Case study-based empirical analysis

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dc.contributor.author Peris-Ortiz, Marta es_ES
dc.contributor.author Devece Carañana, Carlos Alberto es_ES
dc.contributor.author Hikkerova, Lubica es_ES
dc.date.accessioned 2021-03-06T04:31:47Z
dc.date.available 2021-03-06T04:31:47Z
dc.date.issued 2020-03 es_ES
dc.identifier.issn 0825-0383 es_ES
dc.identifier.uri http://hdl.handle.net/10251/163284
dc.description.abstract [Otros] Les technologies mobiles ont poussé la connectivité des systèmes informatiques à la limite, permettant aux personnes et aux objets de se connecter les uns aux autres à tout moment. La quantité d'informations dont disposent les entreprises a augmenté de façon exponentielle, en grande partie grâce à la géolocalisation et à la vaste gamme de capteurs intégrés dans les appareils mobiles. Ces informations peuvent être utilisées pour améliorer les activités et les processus métier, mais également pour créer de nouveaux modèles d'affaires. En nous concentrant sur les modèles d'affaires, nous analysons les technologies mobiles comme catalyseurs des changements d'activité. Nous examinons les caractéristiques distinctives des technologies mobiles et examinons comment celles¿ci peuvent supporter différentes fonctions de l'entreprise. Une étude basée sur une analyse qualitative comparée d'ensemble floue (fsQCA) de 30 cas, de différents secteurs, a permis d'identifier les facteurs de succès de la technologie mobile pour différentes activités du cœur de métier des firmes. Les résultats montrent que plusieurs combinaisons de technologie mobile procurent un avantage concurrentiel lorsqu'elles correspondent au modèle d'affaire. es_ES
dc.description.abstract [EN] Mobile technologies have pushed the connectivity of IT systems to the limit, enabling people and things to connect to one another at all times. The amount of information companies have at their disposal has increased exponentially, thanks largely to geolocation and to the vast array of sensors that have been integrated into mobile devices. This information can be used to enhance business activities and processes, but it can also be used to create new business models. Focusing on business models, we analyze mobile technologies as enablers of activity changes. We consider the differentiating characteristics of mobile technologies and examine how these can support different business functions. A study based on fuzzy-set qualitative comparative analysis (fsQCA) of 30 cases across different industries allows us to identify mobile technology success factors for different core activities. The results show that several combinations of mobile technology initiatives provide a competitive advantage when these initiatives match the business model. es_ES
dc.language Inglés es_ES
dc.publisher John Wiley & Sons es_ES
dc.relation.ispartof Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Business model es_ES
dc.subject Competitive advantage es_ES
dc.subject Fuzzy-set qualitative comparative analysis (fsQCA) es_ES
dc.subject Mobile technologies es_ES
dc.subject Value creation es_ES
dc.subject Technologies mobiles es_ES
dc.subject Modèle d'affaire es_ES
dc.subject Création de valeur es_ES
dc.subject Avantage concurrentiel es_ES
dc.subject Analyse qualitative comparée d'ensemble floue (fsQCA) es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title How mobile technologies support business models: Case study-based empirical analysis es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1002/cjas.1550 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.description.bibliographicCitation Peris-Ortiz, M.; Devece Carañana, CA.; Hikkerova, L. (2020). How mobile technologies support business models: Case study-based empirical analysis. Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration. 37(1):95-105. https://doi.org/10.1002/cjas.1550 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1002/cjas.1550 es_ES
dc.description.upvformatpinicio 95 es_ES
dc.description.upvformatpfin 105 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 37 es_ES
dc.description.issue 1 es_ES
dc.relation.pasarela S\396296 es_ES
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