Relationship Between Performance and Work Style Extracted from Location Data

In this research, we extract features of various work styles from the employee location data for companies that have introduced the free-address system, and we explore the relationship between these features and work performance. To achieve this, we consider the models that increase both freedom in the work environment and employee performance. Least-squares regression is adopted to model the relationship between the work style and performance using satisfaction data synthesized via sparse principal component analysis. Results prove the validity of the initial hypothesis that the performance of employees who work in a face-to-face environment with many other employees is excellent in quick-meeting areas regardless of the department. In addition, communication that occurs in a quick-meeting area affects employee performance more than that occurring in planned meetings held in conference rooms. With respect to the employees who have performed similar tasks, it was found that the performance of employees who bridge between different groups is higher than that of employees who have a lot of face-to-face communication among employees.