Talent Heterogeneity, Task Substitutability, and Effort Allocation in Teams

ABSTRACT This paper studies cooperation and defection in teams when workers differ in talent and tasks vary in their degree of substitutability. We consider an organizational environment in which workers receive equal shares of team output, the principal allocates workers to teams, and a minimum effort standard is enforced through monitoring. Using a CES production technology, we characterize the equilibrium effort profiles that emerge under different combinations of task technology, talent heterogeneity, and effort standards. Mutual cooperation is most likely when workers have similar talent levels and tasks are complementary, whereas mutual defection becomes more prevalent as substitutability increases. Most importantly, asymmetric effort equilibria arise only when talent heterogeneity interacts with a production technology that departs from the Cobb–Douglas benchmark. Under substitutability, the more talented worker tends to cooperate while the less talented worker defects; under complementarity, the opposite pattern may emerge. The paper contributes by identifying a technological condition for asymmetric effort allocation in teams. More broadly, the results show that free riding may emerge as an equilibrium response to task technology and team composition rather than as a simple consequence of weak incentives. From the principal's perspective, profits depend more on team composition and task technology than on the strictness of effort standards, and asymmetric effort allocation may represent a stable and profitable organizational outcome.

Authors

Institutions

Publication Details

Journal
Managerial and Decision Economics
Published
2026-11-01
DOI
https://doi.org/10.1002/mde.70178
Primary Topic
Game Theory and Voting Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Talent Heterogeneity, Task Substitutability, and Effort Allocation in Teams

Stefano Staffolani
4 links
Managerial and Decision Economics
Game Theory and Voting Systems
article

Talent Heterogeneity, Task Substitutability, and Effort Allocation in Teams

Stefano Staffolani
article en

Abstract

ABSTRACT This paper studies cooperation and defection in teams when workers differ in talent and tasks vary in their degree of substitutability. We consider an organizational environment in which workers receive equal shares of team output, the principal allocates workers to teams, and a minimum effort standard is enforced through monitoring. Using a CES production technology, we characterize the equilibrium effort profiles that emerge under different combinations of task technology, talent heterogeneity, and effort standards. Mutual cooperation is most likely when workers have similar talent levels and tasks are complementary, whereas mutual defection becomes more prevalent as substitutability increases. Most importantly, asymmetric effort equilibria arise only when talent heterogeneity interacts with a production technology that departs from the Cobb–Douglas benchmark. Under substitutability, the more talented worker tends to cooperate while the less talented worker defects; under complementarity, the opposite pattern may emerge. The paper contributes by identifying a technological condition for asymmetric effort allocation in teams. More broadly, the results show that free riding may emerge as an equilibrium response to task technology and team composition rather than as a simple consequence of weak incentives. From the principal's perspective, profits depend more on team composition and task technology than on the strictness of effort standards, and asymmetric effort allocation may represent a stable and profitable organizational outcome.

Managerial and Decision Economics
Marche Polytechnic University (IT)
Decent work and economic growth
Openalex Percentile: Top 92%
Game Theory and Voting Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon