Synthesis of Predictive Models for Start-up Companies

Abstract: A quantitative research is performed to improve the accuracy of a previously derived model for predicting the success of Bulgarian start-up companies. The preceding research stages include an overview and analysis of older success prediction models, creation of a new abstract success prediction model, a venture creation process model, a qualitative and a quantitative research. The dataset is extended with 31 more cases and is analyzed in higher detail using the IBM SPSS Modeler software. The previously derived models are compared to the new ones in terms of accuracy of the success prediction and the predicting variables.

Authors: Yankov, B.

Publication: Yankov, B.: Synthesis of Predictive Models for Start-up Companies, International Conference Automatics and Informatics‘13, ISSN 1313-1850 (2013)

Download the full paper.

Leave a Reply

Your email address will not be published. Required fields are marked *