[Paper Review] The Impact of Heterogeneous Shared Leadership in Scientific Teams

Huimin Xu, Meijun Liu+8 more|arXiv (Cornell University)|Jun 27, 2023

scientometrics and bibliometrics researchDecision Sciences3 citations

TL;DR

This study investigates shared leadership in scientific teams using career age to classify leaders as junior (10–15 years), mid (15–20 years), or senior (20+ years). By analyzing 2.3 million teams from OpenAlex, it finds that heterogeneous shared leadership—particularly junior-senior pairs—boosts team citation impact by 1–2% compared to homogeneous pairs, due to greater adaptability in large teams, more diverse expertise, and broader knowledge recency coverage.

ABSTRACT

Leadership is evolving dynamically from an individual endeavor to shared efforts. This paper aims to advance our understanding of shared leadership in scientific teams. We define three kinds of leaders, junior (10-15), mid (15-20), and senior (20+) based on career age. By considering the combinations of any two leaders, we distinguish shared leadership as heterogeneous when leaders are in different age cohorts and homogeneous when leaders are in the same age cohort. Drawing on 1,845,351 CS, 254,039 Sociology, and 193,338 Business teams with two leaders in the OpenAlex dataset, we identify that heterogeneous shared leadership brings higher citation impact for teams than homogeneous shared leadership. Specifically, when junior leaders are paired with senior leaders, it significantly increases team citation ranking by 1-2%, in comparison with two leaders of similar age. We explore the patterns between homogeneous leaders and heterogeneous leaders from team scale, expertise composition, and knowledge recency perspectives. Compared with homogeneous leaders, heterogeneous leaders are more adaptive in large teams, have more diverse expertise, and trace both the newest and oldest references.

Motivation & Objective

• To understand how shared leadership dynamics influence scientific team performance, particularly in terms of citation impact.
• To examine the role of leadership heterogeneity—defined by career age—on team productivity and innovation.
• To compare heterogeneous shared leadership (different career age cohorts) with homogeneous shared leadership (same cohort) across team size, expertise diversity, and knowledge recency.
• To identify structural and cognitive factors that explain why heterogeneous leadership enhances team performance in scientific research.

Proposed method

• Classified leaders into three career age cohorts: junior (10–15 years), mid (15–20 years), and senior (20+ years) based on career duration.
• Defined shared leadership as homogeneous when both leaders are in the same age cohort, and heterogeneous when they are in different cohorts.
• Analyzed 1,845,351 computer science, 254,039 sociology, and 193,338 business teams from the OpenAlex dataset with exactly two leaders.
• Measured team performance via citation ranking, a proxy for scientific impact, and compared heterogeneous vs. homogeneous leadership configurations.
• Conducted multi-dimensional analysis across team scale, expertise composition, and knowledge recency (citation of oldest and newest references).
• Used statistical modeling to isolate the effect of leadership heterogeneity on citation impact while controlling for team size and field-specific citation norms.

Experimental results

Research questions

• RQ1 How does shared leadership based on career age heterogeneity affect scientific team citation impact compared to homogeneous leadership?
• RQ2 What structural and cognitive factors differentiate teams with heterogeneous shared leadership from those with homogeneous leadership?
• RQ3 How does team size moderate the relationship between leadership heterogeneity and citation performance?
• RQ4 To what extent do heterogeneous leadership teams differ in expertise diversity and knowledge recency compared to homogeneous teams?
• RQ5 Why does the pairing of junior and senior leaders yield higher citation impact than same-age pairs?

Key findings

• Heterogeneous shared leadership, particularly junior-senior pairs, increases team citation ranking by 1–2% compared to homogeneous leadership pairs.
• Heterogeneous leadership is more adaptive in large scientific teams, suggesting scalability benefits in complex collaborative settings.
• Teams with heterogeneous leaders exhibit greater expertise diversity, enabling broader interdisciplinary integration.
• Heterogeneous leadership teams trace both the newest and oldest references in their literature, indicating balanced engagement with emerging and foundational knowledge.
• The performance advantage of heterogeneous leadership is most pronounced in teams with mixed career-stage leadership, especially junior-senior combinations.
• The positive impact of heterogeneous leadership persists across multiple scientific fields, including computer science, sociology, and business.