Please use this identifier to cite or link to this item: doi:10.22028/D291-33444
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Title: A Maturity Model for Business Model Management in Industry 4.0
Author(s): Rübel, Sarah
Emrich, Andreas
Klein, Sabine
Loos, Peter
Editor(s): Drews, Paul
Funk, Burkhardt
Niemeyer, Peter
Xie, Lin
Language: English
Title: Data driven x - turning data into value : Multikonferenz Wirtschaftsinformatik 2018 : Leuphana Universität Lüneburg, 6.-9. März 2018
Startpage: 2031
Endpage: 2042
Publisher/Platform: Leuphana Universität Lüneburg, Institut für Wirtschaftsinformatik
Year of Publication: 2018
Place of publication: Lüneburg
Title of the Conference: MKWI 2018
Place of the conference: Lüneburg, Germany
Publikation type: Conference Paper
Abstract: In a continuously changing business environment and theera of digitalization,business models need to adaptconstantly to allow organizations to differentiate themselves from their competitorsand to secure their economic survival. However, organizations areneitherable to review their business model management nor systemize it productively. Hence, the combination of Industry 4.0, business model and business model management aspectsemphasizesan organization’s potentialand results in an increased competitive and operational success. Toguide an organization’s advancement, a maturity model for business model managementis developed, which deliversassistance suitableto an organization’s requirements and strategic orientation. It assesses the organization’s current maturity level and proposes sequential steps to advance towards a refined business modelandprocess mastery by indicating improvement potentials. Thus, the maturity model links an organization’s existing organizational and operational knowledge to new concepts and makes it accessible through a modified business model for Industry 4.0.
URL of the first publication: https://mkwi2018.leuphana.de/wp-content/uploads/MKWI_340.pdf
Link to this record: hdl:20.500.11880/30750
http://dx.doi.org/10.22028/D291-33444
ISBN: 978-3-935786-72-0
Date of registration: 26-Feb-2021
Notes: Band 5
Faculty: HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft
Department: HW - Wirtschaftswissenschaft
Professorship: HW - Prof. Dr. Peter Loos
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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