Start Date
10-12-2017 12:00 AM
Description
Organizations increasingly need the ability to respond to ever-changing environments. Result-ing transformations require organizations to possess a solid knowledge of the status-quo of ex-isting business models to transform them towards future target models. However, business model creation in established frameworks is a manual, time-consuming, highly subjective and error-prone process. Following a design science approach, this research in progress 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. The artefact employs a data-oriented approach to automatically retrieve business models from data sources such as enterprise information sys-tems. For designing and evaluation of the artefact, an industry cooperation with a manufactur-ing corporation was formed to gain access to real-world data. This research in progress further introduces a set of meta-requirements, design principles and a preliminary prototype.
Recommended Citation
Augenstein, Dominik and Fleig, Christian, "Exploring Design Principles for a Business Model Mining Tool" (2017). ICIS 2017 Proceedings. 4.
https://aisel.aisnet.org/icis2017/DataScience/Presentations/4
Exploring Design Principles for a Business Model Mining Tool
Organizations increasingly need the ability to respond to ever-changing environments. Result-ing transformations require organizations to possess a solid knowledge of the status-quo of ex-isting business models to transform them towards future target models. However, business model creation in established frameworks is a manual, time-consuming, highly subjective and error-prone process. Following a design science approach, this research in progress 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. The artefact employs a data-oriented approach to automatically retrieve business models from data sources such as enterprise information sys-tems. For designing and evaluation of the artefact, an industry cooperation with a manufactur-ing corporation was formed to gain access to real-world data. This research in progress further introduces a set of meta-requirements, design principles and a preliminary prototype.