Please use this identifier to cite or link to this item: doi:10.22028/D291-33485
Volltext verfügbar? / Dokumentlieferung
Title: Improving Business Model Configuration through a Question-based Approach
Author(s): Rübel, Sarah
Rebmann, Adrian
Emrich, Andreas
Klein, Sabine
Loos, Peter
Editor(s): Ludwig, Thomas
Pipek, Volkmar
Language: English
Title: Human practice, digital ecologies, our future : 14. Internationale Tagung Wirtschaftsinformatik (WI 2019) : Tagungsband
Startpage: 1892
Endpage: 1903
Publisher/Platform: Universität Siegen
Year of Publication: 2019
Place of publication: Siegen
Title of the Conference: WI 2019
Place of the conference: Siegen, Germany
Publikation type: Conference Paper
Abstract: In the competitive context of agile innovation cycles, it is necessary for companies to construct their business model leading them to a creative strategy innovation. There already are a number of methods to create business models, many of which are also implemented in software. However, these are often unstructured, unguided and static, resulting in diverse and heterogeneous business models. This complicates automated evaluation allowing recommendations. The aim is to develop a question-based tool yielding for comparable and, thus, analyzable business models based on a developed standardized taxonomy. The questions guiding through the configurator were derived from this taxonomy. A tool was developed implementing the question-based concept. User tests were conducted as part of an evaluation showing promising results concerning usability in addition to the already achieved standardization.
URL of the first publication: https://aisel.aisnet.org/wi2019/specialtrack01/papers/9/
Link to this record: hdl:20.500.11880/30782
http://dx.doi.org/10.22028/D291-33485
Date of registration: 2-Mar-2021
Faculty: HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft
Department: HW - Wirtschaftswissenschaft
Professorship: HW - Prof. Dr. Peter Loos
Collections:Die Universitätsbibliographie

Files for this record:
There are no files associated with this item.


Items in SciDok are protected by copyright, with all rights reserved, unless otherwise indicated.