Mutual Participation Decision-making Model of Startups and Venture Capitalists

Abstract

Objective: Venture capitalists have unique capabilities in dealing with uncertain conditions. Despite the increasing level of risk in the development of innovative startups based on emerging technologies, investing in these emerging areas and startups is a strategic measure for venture capitalists. This highlights the need for comprehensive carrying out evaluation and analysis in this regard. The need for a benchmark and a model to identify high-potential success options among the masses of startups is a challenging issue for which this research seeks to provide a solution. The main purpose of this research is to develop a benchmark for identifying high-potential success options.Methods: The main research question of the present study was answered by cooperating and interacting with ten experts in the venture capital industry. First, the components of collaboration were extracted through library studies. Next, the extracted components were evaluated and analyzed based on Markov analysis, the average duration of multidimensional analysis in decision-making. Then, based on the findings of Markov analysis, two-dimensional evaluation and screening of identified agents were performed based on the fuzzy Delphi method.Results: This study showed that out of 62 indicators of mutual participation between investors and startups, 41 indicators were key, and 21 indicators were not applicable. In the next step, the indicators were evaluated based on the FBWM method.Conclusion: The achieved model was tested on six successful startups in capital attraction using fuzzy multi Moora. The model could rank the investment priority in these six startups.

Keywords

• fuzzy bwm
• investment evaluation
• markov chain
• venture capital