Research on the relationship between employee work styles and performance using location data

Abstract

In this research, for companies that have introduced the free address system, we extract featuresof various work styles from employee location data and explore how they relate to performance. By doingso, we considered models that increase freedom of work environment and employee performance. Themethod adopted to model the relationship between work styles and performance is a least-squaresregression model using satisfaction data synthesized by sparse principal component analysis. From theresults, we proved the initial hypothesis that the performance of employees who have face-to-faceconnections with many employees regardless of their departments is high in a quick meeting area. Besides,as a new finding, it is the communication that occurs in a quick meeting area, not the planned meeting heldin the meeting room, that affects employees performance. In the relationship of employees who have similarwork contents, it was found that the performance of employees who bridge between different groups ishigher than that of employees who have a lot of face-to-face communication among employees.