Research into Early Stage Identification of Entrepreneurs and Artificial Intelligence: Towards Self-Sustained Tools to Identifying Young Entrepreneurs

Stephen Robert Pearson,Mahmoud Shafik

Advances in Transdisciplinary Engineering Advances in Manufacturing Technology XXXV(2022)

引用 0|浏览0
暂无评分
摘要
Youth unemployment is increasing and some countries are exhibiting unprecedented levels of youth unemployment, which according to research from Price Waterhouse Cooper (PwC), is costing the British economy £45bn per year, as well as blighting the careers of workers who miss out on a job in their teens and twenties. Unemployment exists because jobs do not, therefore one way to act to reduce it is to create jobs. It isn’t the governments remit to create jobs, not in the private sector therefore this responsibility is falling more and more on entrepreneurs. This paper seeks to examine the potential use for Artificial Intelligence (AI) in the early-stage identification of young entrepreneurs, in order to provide a more accurate comprehensive survey tool, able to adapt to the questions and answers given during the identification process.
更多
查看译文
关键词
young entrepreneurs,early stage identification,artificial intelligence,self-sustained
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要