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Dokumenttyp:
Konferenzbeitrag 
Autor(en):
Böhm, Markus; Weking, Jörg; Fortunat, Frank; Müller, Simon; Welpe,Isabell ; Krcmar, Helmut 
Titel:
The Business Model DNA: Towards an Approach for Predicting Business Model Success 
Seitenangaben Beitrag:
1006 - 1020 
Abstract:
Business models have gained much interest in the last decade to analyze the potential of new business ventures or possible innovation paths of existing businesses. However, the business model concept has only rarely been used as basis for quantitative empirical studies. This paper suggests the concept of a Business Model DNA to describe the characteristics of specific business models. This concept allows to analyze business models in order to identify clusters of business models that outperform...    »
 
Stichworte:
Business Model; Success Prediction; Data Mining; Cluster Analysis; Support Vector Machine 
Kongress- / Buchtitel:
13. Internationale Tagung Wirtschaftsinformatik (WI 2017) 
Jahr:
2017 
Reviewed:
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