A Dynamic Model for Managing Volunteer Engagement
Baris Ata, Mustafa H. Tongarlak, Deishin Lee, Joy Field

TL;DR
This paper develops a dynamic, threshold-based model for non-profit organizations to optimize volunteer engagement, reducing costs while maintaining service levels through strategic deployment of engagement activities.
Contribution
It introduces a novel stochastic control approach using a Brownian approximation to determine optimal volunteer engagement policies in non-profits.
Findings
Significant cost reduction in volunteer operations.
Effective threshold policy for volunteer engagement.
Maintains service levels with no extra resources.
Abstract
Non-profit organizations that provide food, shelter, and other services to people in need, rely on volunteers to deliver their services. Unlike paid labor, non-profit organizations have less control over unpaid volunteers' schedules, efforts, and reliability. However, these organizations can invest in volunteer engagement activities to ensure a steady and adequate supply of volunteer labor. We study a key operational question of how a non-profit organization can manage its volunteer workforce capacity to ensure consistent provision of services. In particular, we formulate a multiclass queueing network model to characterize the optimal engagement activities for the non-profit organization to minimize the costs of enhancing volunteer engagement, while maximizing productive work done by volunteers. Because this problem appears intractable, we formulate an approximating Brownian control…
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Taxonomy
TopicsAdvanced Queuing Theory Analysis · Transportation and Mobility Innovations
