Tag Archives: success prediction

Detailed Model of a Successful Startup

Have you ever wondered which factors make a successful startup stand out? I have prepared a model that lists the factors of importance for the success of young companies.

Entrepreneurial Team

  • Personality and Values
    • Authonomy
    • Confidence
    • Initiative
    • Locus of Control
    • Need for Achievement
    • Risk-taking Propensity
    • Tolerance of Ambiguity
  • Skills and Experience
    • Entrepreneurship Skills
    • Management Skills
    • Marketing Skills
    • Technical Skills
    • Human Resources Skills
    • Investment Skills
    • Start-up Experience
    • Experience in Similar Position
    • Industry Experience
    • General Management Experience
    • Formal Education
    • Field of Education
    • Age of Entrepreneur
    • Entrepreneurial Parents
  • Teamwork
    • Team Completeness
    • Team Knowledge
    • Team Skill
    • Team Attitude

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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

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 conducted to gather initial opinions, to identify possible gaps and to revise the model. Initial results and feedback from the interviews are presented, analyzed and compared to the model to draw conclusions and to make improvements. A survey to statistically validate the success prediction model is currently in progress.

Authors: Yankov, B. Continue reading