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Volunteer Management in Charity Storehouses: Experience, Congestion and Operational Performance

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  • Gloria Urrea
  • Alfonso J. Pedraza‐Martinez
  • Maria Besiou

Abstract

We study volunteer management at a charity storehouse operated by a large faith‐based organization. The storehouse runs entirely on volunteer efforts. We investigate the role of volunteer experience and storehouse congestion in the preparation of orders using a multi‐method approach. First, we conduct a field study to explore these relationships and collect data at the level of volunteers’ teams. These teams can pair volunteers with either different levels of experience (mixed pairing) or equal levels of experience (no‐mixed pairing). Second, we estimate the effects of volunteer experience and storehouse congestion on the order processing times empirically. Third, we build a simulation model to study how operational decisions—volunteers’ pairing in teams and whether to allow or impede storehouse congestion—affect two performance metrics: on‐time order preparation rate and additional time to prepare the orders, in steady conditions. Then, we simulate disaster conditions at the storehouse, that is, simultaneous surges in supply of volunteers and demand of orders. Contrary to extant literature on team collaboration, we find that no‐mixed pairing outperforms mixed pairing under disaster conditions with storehouse congestion. In fact, no‐mixed pairing improves the on‐time order preparation by 4.32% and the additional time to prepare the orders by 14.42% compared to mixed pairing. Moreover, under disaster conditions, a “controlled congestion” policy at the storehouse delivers the best performance metrics.

Suggested Citation

  • Gloria Urrea & Alfonso J. Pedraza‐Martinez & Maria Besiou, 2019. "Volunteer Management in Charity Storehouses: Experience, Congestion and Operational Performance," Production and Operations Management, Production and Operations Management Society, vol. 28(10), pages 2653-2671, October.
  • Handle: RePEc:bla:popmgt:v:28:y:2019:i:10:p:2653-2671
    DOI: 10.1111/poms.13073
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    Citations

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    Cited by:

    1. Gabriel Zayas‐Cabán & Emmett J. Lodree & David L. Kaufman, 2020. "Optimal Control of Parallel Queues for Managing Volunteer Convergence," Production and Operations Management, Production and Operations Management Society, vol. 29(10), pages 2268-2288, October.
    2. Ioannis Kougkoulos & M. Selim Cakir & Nathan Kunz & Doreen S. Boyd & Alexander Trautrims & Kornilia Hatzinikolaou & Stefan Gold, 2021. "A Multi‐Method Approach to Prioritize Locations of Labor Exploitation for Ground‐Based Interventions," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4396-4411, December.
    3. Vahideh Manshadi & Scott Rodilitz, 2022. "Online Policies for Efficient Volunteer Crowdsourcing," Management Science, INFORMS, vol. 68(9), pages 6572-6590, September.
    4. Lea Ruesch & Murat Tarakci & Maria Besiou & Niels Van Quaquebeke, 2022. "Orchestrating coordination among humanitarian organizations," Production and Operations Management, Production and Operations Management Society, vol. 31(5), pages 1977-1996, May.
    5. Priyank Arora & Wei Wei & Senay Solak, 2021. "Improving Outcomes in Child Care Subsidy Voucher Programs under Regional Asymmetries," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4435-4454, December.
    6. Gloria Urrea & Eunae Yoo, 2023. "The role of volunteer experience on performance on online volunteering platforms," Production and Operations Management, Production and Operations Management Society, vol. 32(2), pages 416-433, February.
    7. Kaitlin M. Daniels & León Valdés, 2021. "Trying and Failing: Biases in Donor Aversion to Rejection," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4356-4373, December.
    8. Johannes Jakubik & Stefan Feuerriegel, 2022. "Data‐driven allocation of development aid toward sustainable development goals: Evidence from HIV/AIDS," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2739-2756, June.

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