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Articles Entrepreneurship

Сравнение на класификационни модели за стартиращи компании

Резюме: Проведено е количествено изследване на факторите за успех на стартиращи компании от България. Наборът от данни за 136 компании е анализиран с помощта на софтуерните продукти за извличане на знания от данни – IBM SPSS Modeler и Weka. Като резултат са синтезирани класификационни модели за предсказване на успеха на стартиращи компании от България. Получените модели са анализирани и сравнени, като са избрани най-точните и ефективни модели. Идентифицирани са факторите за успех на компаниите, включени в моделите, както и принципът на вземане на решение за тяхната класификация.

Автори: Янков, Б.

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Software Development

Arduino Sketch That Plays Melodies

This is a simple Arduino sketch that can play various melodies . It can be used for fun as a toy. The melodies are changed by pressing a pushbutton. You can easily add new melodies, if you know the notes.

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Entrepreneurship

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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Articles Entrepreneurship

Models and Tools for Technology Start-Up Companies Success Analysis

Figure 1. New venture success prediction model proposed by Yankov
Figure 1. New venture success prediction model proposed by Yankov

Abstract: The designs presented in the article are fastened in the authors’ years-long research on entrepreneurship and business model innovations. A quantitative research was performed to derive a model for predicting the success of Bulgarian startup companies. The authors started this research with in-depth inquiries of start-up companies in Bulgaria. Under our guidance, several research analysts investigated each start-up using approximately 100 questions. The preceding research stages included an overview and an analysis of existing success prediction models, a new abstract success prediction model, a venture creation process model and a qualitative research. The abstract success prediction model was extended with measurable variables with the help of a quantitative research of Bulgarian entrepreneurs. The current dataset of companies has been enriched with more cases and has been analyzed using data mining software: IBM SPSS Modeler, which automatically tests different models and suggests the best performing ones and also with the open source product Weka. The best derived model is a classification tree that correctly predicts the success of technology start-ups from the dataset in 83,76% of the test cases. The analysis revealed the answers to challenges and questions that start-up companies face and implemented a model that was deployed into an information system for start-ups success prediction. The developed information system will help to predict the success of start-ups. The software will evolve iteratively, and by involving more companies to use it, will grow its database.

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Articles Entrepreneurship Web Technologies

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.

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Articles Entrepreneurship

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.

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Articles Entrepreneurship

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.

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Entrepreneurship

Изследване на успеха на стартиращи компании

Питате ли се, какъв е шансът един стартиращ бизнес да успее?

Попълнете анкетата за стартиращи компании

Business Success or FailКакви качества трябва да притежават предприемачите, за да създадат успешната фирма? Ако знаете кои са слабите места на Вашата компания и кои са най-силните и предимства, дали това ще Ви помогне да успеете в бизнеса?

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Articles Entrepreneurship

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.

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Articles Entrepreneurship

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.

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