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Preprint
DOI: 10.5445/IR/1000076419#preprint

Exploring Design Principles for a Business Model Mining Tool [in press]

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 International Conference on Information Systems Proceedings, ICIS 2017, Seoul, South Korea, December 10-13, 2017
Schlagworte Business Model, Business Model Mining, Business Model Canvas, Design Science, Development Tools
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