Measuring Business Model Transformation
ISBN
978-1-908549-03-7
Type
conference paper
Date Issued
2012-06-07
Author(s)
Editor(s)
Ghoneim, Ahmad
Klischewski, Ralf
Schrödl, Holger
Kamal, Muhammed
Abstract
Pressure amongst competitors combined with a rapidly changing economy drive enterprises to continuously adapt their current business models to prevail over competitors. Business models nowadays must be flexible enough to cope with external or internal changes and therefore should be managed and controlled dynamically. Hence, enterprises must be aware of the interconnections between the strategic level and the operational level of business processes for being able to adjust their current business models to external or internal influencing factors. However, for enterprises it is not enough to solely adapt their business models. Enterprises must also be able to measure the quality of their adapted business model as they continuously need feedback about the quality of their current business models. Therefore the transformation mechanism from business models into business processes has to be evaluated. This paper presents an approach for measuring business model adaptation. With regard to the software industry an approach is presented to measure the degree and the quality of business model adaptation by evaluating a company's business processes that result from business model adaptations.
Language
English
Keywords
Adaptive Business Models
Dynamic Enterprise
Business Processes
HSG Classification
contribution to scientific community
HSG Profile Area
SoM - Business Innovation
Refereed
Yes
Book title
CD-ROM/Online Proceedings of the European, Mediterranean & Middle Eastern Conference on Information Systems (EMCIS)
Publisher
o.A.
Start page
1
End page
9
Pages
9
Event Title
European, Mediterranean & Middle Eastern Conference on Information Systems (EMCIS) 2012
Event Location
München
Event Date
07.-08.06.2012
Subject(s)
Division(s)
Eprints ID
215936
File(s)![Thumbnail Image]()
open.access
Name
MeasuringBusinessModelTransformation_EMCIS.pdf
Size
221.6 KB
Format
Adobe PDF
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