Tag Archives: NVP

Information System for Forecasting the Success of Bulgarian Start-up Companies

Abstract: An Information System (IS) for predicting the success of Bulgarian start-up companies has been designed and developed. The IS is based on a model for success prediction derived from a quantitative research of 137 Bulgarian start-up companies. Entrepreneurs fill in a survey and based on a prediction model the IS estimates the chances of success of their start-up and shows a graphical decision tree with the factors that led to the result.

Authors: Yankov, B., Vitanov, N. Continue reading

Start-up Companies Predictive Models Analysis

Abstract: A quantitative research is performed to derive a model for predicting the success of Bulgarian start-up companies. The preceding research stages included an overview and analysis of older success prediction models, a new abstract success prediction model, a venture creation process model and a qualitative research. The abstract success prediction model is extended with measurable variables which are included in a survey. The survey is currently in progress with 105 responses by owners and managers of Bulgarian companies. The current dataset was analyzed using the IBM SPSS Modeler software which automatically tests different models and suggests the best performing ones. The best derived model is a decision tree model that predicts the success of the start-up companies from the dataset with 91,86% probability using 11 variables.

Authors: Yankov, B., Haralampiev, K., Ruskov P. Continue reading

Research of Success Factors for Start-up Companies

Abstract: A new venture success prediction model is proposed based on an overview and analysis of success prediction models, analysis of the venture creation process, and a qualitative research – interviews with company owners. The success prediction model is extended with measurable variables. A survey to statistically validate the success prediction model is currently in progress with 68 responses by owners and managers of Bulgarian companies. A brief profile of the enterprises and their owners are presented. The available data is analyzed with IBM SPSS Statistics and shows a correlation of the company success and the success prediction model variables.

Authors: Yankov, B. Continue reading