Understanding Intrafactor Relationships in Cyberloafing Using Predictive Apriori Algorithm

Modern business infrastructures are constantly evolving based on a fluctuating market scenario. It is very important for organizations to have a competitive edge for sustainance and market leadership. This is possible not only by planning risks ahead, but also by improving the productivity of the organization. Cyberloafing is a new trend across organizations that can hamper productivity to well. In this paper, we shall study a specific association rule mining algorithm known as Predictive Apriori algorithm and apply the same on a data set build from user responses. We will identify the best rules that will help us in future to develop a possible forecasting system that can identify when an employee can cyberloaf under certain conditions.