The Impact of Team Bonus and Team Scale on Helping Effort: An Application of Hierarchical Generalized Linear Models

Abstract

This study uses hierarchical generalized linear models to investigate the factors influencing agents to choose helping effort behaviors. The empirical results show that the selection of helping efforts by agents in various branches varies significantly, suggesting that branch-level impacts should be taken into consideration. Education level, experience, and marital status will positively affect helping effort, while age and individual performance bonus ratio will negatively affect helping effort. Team bonuses will have a positive impact on the agents in choosing the helping effort, while branch scale will have a negative impact on the agents in choosing the helping effort. The impact of education level, experience, and individual performance bonus ratio on helping effort varies significantly from branch to branch.

Keywords:

• real estate brokerage industry
• helping effort
• hierarchical generalized linear models
• team bonus
• and team scale