Churn prediction aims to detect customers intended to leave a service provider. Retaining one customer costs an organization from 5 to 10 times than gaining a new one. Predictive models can provide correct identification of possible churners in the near future in order to provide a retention solution. This paper presents a new prediction model based on Data Mining (DM) techniques. The proposed ...

The objective of this study is to examine the challenges created by blockchain technology agriculture stakeholders. Besides that, it also noteworthy understand that two important theories underlie integration towards achieving objectives developing for smart are Grounded Theory and will conceptualise Technology-Organisation-Environment (TOE) Theory. This employs a qualitative approach because c...