Konsortialforschung zur Entwicklung von Referenzmodellen für die Digitalisierung von Unternehmen – Erfahrungen aus dem Datenmanagement

Fiche du document

Type de document
Périmètre
Langue
Identifiant
Relations

Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.1365/s40702-020-00590-2

Ce document est lié à :
info:eu-repo/semantics/altIdentifier/pissn/1436-3011

Ce document est lié à :
info:eu-repo/semantics/altIdentifier/pissn/2198-2775

Ce document est lié à :
info:eu-repo/grantAgreement/OTHER//Competence Center Corporate Data Quality (CC CDQ)///

Ce document est lié à :
info:eu-repo/semantics/altIdentifier/urn/urn:nbn:ch:serval-BIB_5132C6BB9C290

Licences

info:eu-repo/semantics/openAccess , Copying allowed only for non-profit organizations , https://serval.unil.ch/disclaimer



Citer ce document

Tobias Pentek et al., « Konsortialforschung zur Entwicklung von Referenzmodellen für die Digitalisierung von Unternehmen – Erfahrungen aus dem Datenmanagement », Serveur académique Lausannois, ID : 10.1365/s40702-020-00590-2


Métriques


Partage / Export

Résumé 0

Reference models are important research results with practical relevance that support companies in their digitalization initiatives. One of the challenges in developing reference models is the access to “implicit” practical knowledge that is created when technologies are implemented and used. This article illustrates how consortium research—as a multilateral, institutionalized collaboration between researchers and practitioners—facilitates knowledge transfer and the rigorous development of reference models. For the case of the Data Excellence Model (DXM), we illustrate the iterative (re)design of a reference model, which was developed by 15 companies and researchers from three universities. Based on these experiences, we derive recommendations for developing reference models in research collaborations between academics and practitioners.

document thumbnail

Par les mêmes auteurs

Exporter en