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Design Principles for Business Model Analytics Tools

Augenstein, Dominik

Abstract (englisch):
In this doctoral thesis, a current and widespread approach to business modelling is developed further using findings from data analytics and theories to improve user understanding. The focus is on the goals of an objective business modeling that is comprehensible to all users.
Business modelling is an important part of companies to determine their strategy and as a linking element between the strategic and operational level. Different research areas investigate how such business modelling can be supported or applied in different situations (e.g. after disruptive shocks). However, the starting point for these approaches is always a subjective top-down approach, based on the knowledge of the modeler. This involves the challenge that the created business models are incorrect and depend on the knowledge and perspective of the modeler. In addition, they are strongly linked to the strategic level and the abstract management view associated with it.
In a design science research approach in this thesis, requirements and design principles for objective and easily understandable business modeling were developed. In addition, these principles were instantiated in a tool that can (semi-)automatically create a business model by using enterprise data. ... mehr

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Volltext §
DOI: 10.5445/IR/1000099850
Veröffentlicht am 18.11.2019
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Informationswirtschaft und Marketing (IISM)
Publikationstyp Hochschulschrift
Publikationsjahr 2019
Sprache Englisch
Identifikator KITopen-ID: 1000099850
Verlag Karlsruher Institut für Technologie (KIT)
Umfang VIII, 200 S.
Art der Arbeit Dissertation
Fakultät Fakultät für Wirtschaftswissenschaften (WIWI)
Institut Institut für Informationswirtschaft und Marketing (IISM)
Prüfungsdatum 12.11.2019
Referent/Betreuer Prof. A. Mädche
Schlagwörter Business Model, Business Model Analytics, Comprehension, Business Model Mining
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