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Preprint
DOI: 10.5445/IR/1000076419
Veröffentlicht am 09.11.2017

Exploring Design Principles for a Business Model Mining Tool

Augenstein, Dominik; Fleig, Christian

Abstract (englisch):
Organizations increasingly need the ability to respond to ever-changing environments.
Resulting transformations require organizations to possess a solid knowledge of the
status-quo of existing business models to transform them towards future target models.
However, business model creation in established frameworks is a manual, timeconsuming,
highly subjective and error-prone process. Following a design science
approach, this short paper proposes the development of an artefact in form of a business
model mining tool to overcome weaknesses of manual approaches to business model
derivation by deriving business models from data stored within organizational
information systems. This short paper further introduces a set of meta-requirements,
design principles and a preliminary prototype such as enterprise resource planning
systems. For the design and the evaluation of the artefact, an industry cooperation with
a manufacturing corporation was formed to gain access to real-world data.


Zugehörige Institution(en) am KIT Institut für Informationswirtschaft und Marketing (IISM)
Publikationstyp Proceedingsbeitrag
Jahr 2017
Sprache Englisch
Identifikator URN: urn:nbn:de:swb:90-764193
KITopen ID: 1000076419
Erschienen in ICIS 2017: 38th International Conference on Information Systems: Transforming Society with Digital Innovation, Seoul, ROK, December 10-13, 2017
Verlag AIS Electronic Library (AISeL)
Seiten 1-10
Schlagworte Business Model, Business Model Mining, Business Model Canvas, Design Science, Development Tools
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