Development of Prediction Model through Artificial Intelligence of Crowd funding for Organizational Performance

Abstract

Artificial intelligence is taking over the world by storm. Be it a simple task being done autonomously by guided robots, a precision activity included in medical diagnostics or making complex calculations related to finance. Machine learning is here for quite some time and it isn’t going anywhere in the near future. The discussion on replacing the traditional approaches with machine learning approaches isn’t something of the future. It is happening sooner that anyone would have imagined. Various studies in disparate areas have been conducted and the results have always been better with the machine learning approaches. Although algorithms aren’t perfect yet because of the flaws and glitches in the algorithms that haven’t been addressed properly but the algorithms are perfect in themselves as they do the task as they are programmed to do without any outside interference. On the other hand, the focus is shifting towards alternate finance approaches to get the required capital by the entrepreneurs and the era of world wide web has made it easier for them to arrange necessary finances at the click of button by using crowdfunding platforms. Therefore, in this study, we utilized Artificial intelligence specifically machine learning algorithms by utilizing the supervised machine learning techniques for prediction of successful crowdfunding campaign (organizational success). XGBoost was found to be the best performing algorithm.