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 […]

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 […]

A Model for Predicting the Success of New Ventures

Abstract: After an overview of more than 50 success prediction models for new ventures and identification of success factors and successful model patterns, and analysis of the venture creation process, a model for predicting the success of new ventures is proposed. The success prediction model is extended with measurable variables. Interviews with company owners are […]

Overview of Success Prediction Models for New Ventures

Abstract:  An overview of 42 success prediction models for new ventures is presented. Major success factors are identified and a sequence of development of models is analyzed. A successful model pattern is identified containing industry structure, company strategy and interaction of strategy with structure. Alternative success prediction models are presented. A venture creation process and […]