Post by arfanho7 on Feb 22, 2024 2:33:42 GMT -5
ou need to find a setting in which you have an evaluation of a startup at an early stage where the evaluation is not known to the entrepreneurs and doesn’t influence the idea.” New research explores a fundamental question How can you predict whether a business idea will succeed or flop ©iStock They found that setting in a place close to home for Shu. As a doctoral student at the Massachusetts.
Institute of Technology Shu flirted with entrepreneurship herself even applying to the —a program that connects budding entrepreneurs to successful businesspeople to develop their ideas. Whenever an entrepreneur applies to the program a staff member writes up a one paragraph description of the idea America Cell Phone Number List in a uniform format and then circulates it among a pool of more than possible mentors who may express interest in the idea. Shu and Scott realized that they had the perfect laboratory for judging the success of ideas.
By comparing the number of mentors expressing interest in an idea to the eventual success of that idea they could see how well the amount of interest predicted that success. At the same time since the entrepreneurs—who determine how much mentoring they’d like to get—had no idea how many mentors expressed interest and since MIT offered access to the same amount of resources to each startup that success wouldn’t become a self fulfilling prophecy.
Institute of Technology Shu flirted with entrepreneurship herself even applying to the —a program that connects budding entrepreneurs to successful businesspeople to develop their ideas. Whenever an entrepreneur applies to the program a staff member writes up a one paragraph description of the idea America Cell Phone Number List in a uniform format and then circulates it among a pool of more than possible mentors who may express interest in the idea. Shu and Scott realized that they had the perfect laboratory for judging the success of ideas.
By comparing the number of mentors expressing interest in an idea to the eventual success of that idea they could see how well the amount of interest predicted that success. At the same time since the entrepreneurs—who determine how much mentoring they’d like to get—had no idea how many mentors expressed interest and since MIT offered access to the same amount of resources to each startup that success wouldn’t become a self fulfilling prophecy.