b. Incorporation of Stochastic Dynamics
Future models could integrate agent-based or stochastic simulations to capture random shocks, media influence, and sudden political crises.
This would enhance the predictive power and realism of the framework.
c. Multi-Dimensional Incentives and Justice
Expanding the model to include non-monetary incentives (patronage, social status) and multi-faceted justice perceptions (procedural, distributive, restorative) could increase explanatory depth.
Such extensions would allow a more nuanced understanding of micro- and meso-level behaviors.
d. Longitudinal and Adaptive Studies
Long-term studies could track temporal evolution of TDD variables across election cycles, reforms, and civic interventions.
Adaptive modeling could capture dynamic shifts in thresholds and feedback loops, reflecting learning and institutional change.
e. Integration with Policy Simulation Platforms
Linking TDD with policy decision-support tools could allow governments and civil society to simulate intervention outcomes, optimizing strategies to reduce transactional politics and strengthen democratic legitimacy.