Creating New Business Services utilizing In-Chat Emotion Anlysis Technology

Correlation between Employee Engagement and Emotion Score

Abstract

The objective of this paper is to gain implications for measuring and visualizing employee engagement instantaneously by using AI called "A; " (Laboratik Inc.). Currently, employee engagement scores in Japan only attains the half of its universal average score while some study concluded that employee engagement impacted on its corporate performance. Therefore, the aim of this study is to contribute for improving current employee engagement score in Japan by seeking for a possible solution to measure and visualize employee engagement more instantaneously without survey questions in the future, specifically, utilizing technology. The research hypothesis is that there are correlations between changes in sentiment scores with "A;", and the change of employee engagement survey scores before and after coaching sessions. We conducted this research toward 2 groups of 6 employees in each within targeted period. The research result supported our hypothesis. In addition, we found that two teams employee engagement factors that correlated to the sentiments' changes were different. In conclusion, the findings implied the possible utilization of A; to a real-time measure of employee engagement score though it is mandatory to accumulate results with larger samples.