Presentation Information
[5Yin-A-40]An Experimental Study on the Introduction of AI for Feedback on Goal Setting
〇Takumi Nakai1, Yoshitaka Hirose2 (1. Osaka Metropolitan University, 2. Doshisha University)
Keywords:
Feedback,Algorithmic Management,Algorithm Aversion,Performance Evaluation,Management by Objectives
Feedback in modern corporate management is crucial for employees to orient their actions toward achieving goals and understand the necessary effort required. This study aims to verify, through an online survey experiment, whether the recipient's response differs depending on whether the feedback creator and presenter is an AI or a supervisor. Using a fictional case, this experiment employed a two-factor between-subjects design: whether the feedback creator was an AI or a supervisor, and whether the feedback presenter was an AI or a supervisor. Data were collected from 400 participants recruited via crowdsourcing, and analysis of variance (ANOVA) revealed no statistically significant differences in psychological states—such as perceived fairness and satisfaction—that are thought to directly influence feedback evaluation, based on the creator or presenter. However, the perceived level of whether the feedback was responsible showed no difference based on whether the creator was an AI or a supervisor. Yet, it was higher when the presenter was a supervisor compared to when the presenter was an AI. This result extends prior research on algorithmic management and algorithm aversion.