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

Details

Ressource 1Download: HMD_final - Konsortialforschung - Artikel vF_self-archive.pdf (387.77 [Ko])
State: Public
Version: Author's accepted manuscript
License: Not specified
Serval ID
serval:BIB_5132C6BB9C29
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Konsortialforschung zur Entwicklung von Referenzmodellen für die Digitalisierung von Unternehmen – Erfahrungen aus dem Datenmanagement
Journal
HMD Praxis der Wirtschaftsinformatik
Author(s)
Pentek Tobias, Legner Christine
ISSN
1436-3011
2198-2775
Publication state
Published
Issued date
04/2020
Peer-reviewed
Oui
Volume
57
Number
2
Pages
296-309
Language
german
Notes
Sh
Abstract
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.
Keywords
Konsortialforschung, Referenzmodell, Gestaltungsorientierte Forschung, Datenmanagement, Big Data, Digitalisierung
Publisher's website
Funding(s)
Other / Competence Center Corporate Data Quality (CC CDQ)
Create date
12/03/2020 22:28
Last modification date
01/12/2020 7:24
Usage data