1. A Hybrid Business Success Versus Failure Classification Prediction Model: A Case of Iranian Accelerated Start-ups

Seyed M. Sadatrasoul; O. Ebadati; R. Saedi

Volume 8, Issue 2 , Spring 2020, , Pages 279-287

Abstract
  The purpose of this study is to reduce the uncertainty of early stage startups success prediction and filling the gap of previous studies in the field, by identifying and evaluating the success variables and developing a novel business success failure (S/F) data mining classification prediction model ...  Read More