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doi:10.22028/D291-33444
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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