A novel bias in managers' allocation of bonuses to teams: Emphasis on team size instead of team contribution

Author:

Bai Yun1ORCID,Feng Zhiyu2ORCID,Pinto Jonathan3ORCID,Savani Krishna4ORCID

Affiliation:

1. School of Management Huazhong University of Science and Technology Wuhan China

2. Business School Renmin University of China Beijing China

3. Imperial College Business School Imperial College London UK

4. Faculty of Business The Hong Kong Polytechnic University Kowloon Hong Kong

Abstract

AbstractHow should managers supervising multiple teams allocate bonuses—based on each team's size or based on each team's contribution? According to the commonly accepted equity norm for allocating rewards, managers should distribute bonuses based on the relative contributions of the team. In contrast, we propose that managers are instead distracted by the number of employees in each team and neglect team contribution highlighted in the equity norm. Pilot Studies 1 and 2 confirmed that in both individual‐ and team‐based bonus allocation situations, people preferred and actually allocated rewards according to the equity norm rather than the equality norm or the need norm when only contribution was manipulated. However, Study 1, a laboratory experiment, revealed that individuals assigned to the role of a manager allocated more bonuses to the larger team even though the two teams' actual work output (in terms of the number of units of work completed) was nearly identical. Study 2 replicated the key findings of Study 1 using a sample of managers supervising teams in organizations. Study 3 developed an information nudge—highlighting the team contribution—that reduced this bias. Together, these studies indicate a novel team‐size bias that creeps in when managers allocate rewards to multiple teams and document an information nudge to reduce this bias.

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Wiley

Subject

Strategy and Management,Sociology and Political Science,Applied Psychology,Arts and Humanities (miscellaneous),General Decision Sciences

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