Publikation

A Maturity Model for Business Model Management in Industry 4.0

Sarah Rübel, Andreas Emrich, Sabine Klein, Peter Loos

In: Paul Drews, Burkhardt Funk, Peter Niemeyer, Lin Xie (Hrsg.). Multikonferenz Wirtschaftsinformatik 2018, Data driven X; Turning Data into Value. Multikonferenz Wirtschaftsinformatik (MKWI-2018) March 6-9 Lüneburg Germany Seiten 2031-2042 5 ISBN 978-3-935786-72-0 Leuphana Universität Lüneburg Lüneburg 2018.

Abstrakt

In a continuously changing business environment and the era of digitalization, business models need to adapt constantly to allow organizations to differentiate themselves from their competitors and to secure their economic survival. However, organizations are neither able to review their business model management nor systemize it productively. Hence, the combination of Industry 4.0, business model and business model management aspects emphasizes an organization’s potential and results in an increased competitive and operational success. To guide an organization’s advancement, a maturity model for business model management is developed, which delivers assistance suitable to 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 model and process 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.

Rübel_MKWI_340.pdf (pdf, 472 KB)

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence