Towards Value Proposition Mining – Exploration of Design Principles
Journal
International Conference on Information Systems (ICIS)
Type
conference paper
Date Issued
2018
Author(s)
Augenstein, Dominik
Fleig, Christian
Dellermann, Dominik
Research Team
IWI6
Abstract
Organizations must be increasingly able to adapt to ever-changing environmental conditions. For the resulting transformations, companies need a solid knowledge of their current business models to transform them towards prospective target models. However, established business model creation frameworks are manual, error-prone, time- consuming and highly subjective. Following a design science research approach, this work proposes the development of an artefact for business model mining to overcome the weaknesses of manual approaches. In a set of meta-requirements, design principles and a prototype, it will be shown how qualitative value propositions can be extracted from companies’ web pages. Embedded in a comprehensive data-driven artefact, it should be possible to extract the whole business model of a company through organizational information and its systems. This provides a broader view on a company’s value creation next to existing top-down approaches and enlarges existing business model research.
Language
English
Keywords
Value proposition
business model
design science
HSG Classification
contribution to scientific community
Event Title
International Conference on Information Systems (ICIS)
Event Location
San Francisco, California, USA
Event Date
13.12.2018-16.12.2018
Eprints ID
255609
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