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Improving Environmental Scanning Systems Using Bayesian Networks
Journal
Business Research (BuR)
ISSN
1866-8658
Type
journal article
Date Issued
2013-11-01
Author(s)
Research Team
IWI1
Abstract
As the environment for companies becomes increasingly volatile, scanning systems gain in importance. We propose a hybrid process model for such systems information gathering and interpretation tasks that combines quantitative information derived from regression analyses and qualitative knowledge from expert interviews. For the latter, we apply Bayesian networks. We derive the need for such a hybrid process model from a literature review. We lay out our model to find a suitable set of business environment indicators to forecast a companys key financials. Deriving lessons learned from a prototype in the industrial sector, we evaluate the utility of our model following the design science research paradigm. We find our model to especially convince in completeness, transparency and transportability when compared with pure mathematical models.
Language
English
HSG Classification
not classified
Refereed
Yes
Publisher
VHB Verband der Hochschullehrer
Publisher place
Göttingen
Volume
6
Number
2
Start page
196
End page
213
Pages
18
Subject(s)
Division(s)
Eprints ID
227403