Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/103726
Authors: 
Welter, Simon
Mayer, Jörg H.
Quick, Reiner
Year of Publication: 
2013
Citation: 
[Journal:] BuR - Business Research [ISSN:] 1866-8658 [Volume:] 6 [Year:] 2013 [Issue:] 2 [Pages:] 196-213
Abstract: 
As companies’ environment is becoming 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 company's 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.
Subjects: 
Bayesian networks
balancing opportunities and threats
case study
corporate management
design science research in IS
information systems (IS) design
regression analyses
Persistent Identifier of the first edition: 
Document Type: 
Article

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