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

Détails

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Etat: Public
Version: Author's accepted manuscript
Licence: Non spécifiée
ID Serval
serval:BIB_5132C6BB9C29
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Konsortialforschung zur Entwicklung von Referenzmodellen für die Digitalisierung von Unternehmen – Erfahrungen aus dem Datenmanagement
Périodique
HMD Praxis der Wirtschaftsinformatik
Auteur⸱e⸱s
Pentek Tobias, Legner Christine
ISSN
1436-3011
2198-2775
Statut éditorial
Publié
Date de publication
04/2020
Peer-reviewed
Oui
Volume
57
Numéro
2
Pages
296-309
Langue
allemand
Notes
Sh
Résumé
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.
Mots-clé
Konsortialforschung, Referenzmodell, Gestaltungsorientierte Forschung, Datenmanagement, Big Data, Digitalisierung
Site de l'éditeur
Financement(s)
Autre / Competence Center Corporate Data Quality (CC CDQ)
Création de la notice
12/03/2020 22:28
Dernière modification de la notice
01/12/2020 7:24
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