Investigating Factors Affecting the Success of the Initial Coin Offering Method with the Support Vector Machine (SVM) Algorithm

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

Financing is very important for businesses. Initial Coin Offering is a new way of financing businesses based on blockchain technology. It seems necessary to explain this method and calculate its success factors. Therefore, in this article, using the support vector machine (SVM) algorithm, we have investigated the factors affecting the success of initial coin offering campaigns among 307 projects from 2016 to the end of 2018. In this article, the effect of the characteristics of the project, campaign, social networks and the team in a cumulative process on the two target variables- the total amount raised in the ICO process, and the percentage of hard cap (maximum capital determined by the founders of the project) raised as success criteria- have been examined in two separate model series. By obtaining the optimal models based on their performance and prioritizing the features using the Lasso technique, this article shows the two features of "Token supply is fixed" and "availability of smart contract code" have the highest level of influence in the success of an Initial Coin offering According to the results of both optimal models.

Language:
Persian
Published:
Journal of New Economy and Commerce, Volume:19 Issue: 2, 2024
Pages:
161 to 195
https://www.magiran.com/p2815983  
سامانه نویسندگان
  • Teimoora، Fatemeh
    Author (2)
    Teimoora, Fatemeh
    Phd Student Economic, Tarbiat Modares University, تهران, Iran
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