RAPID/Collaborative Research: Defining a Performance Measurement Framework for Spontaneous Volunteer Management Systems in Post-Disaster Relief

快速/协作研究：定义灾后救援中自发志愿者管理系统的绩效衡量框架

• 批准号: 1901700
• 负责人: Lucia Velotti
• 金额: $ 2.08万
• 依托单位: CUNY John Jay College of Criminal Justice
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-11-01 至 2022-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1901700&HistoricalAwards=false
• 关键词: RAPID; Collaborative; Research; Defining; Performance

Disasters such as Hurricane Florence attract lay citizens who quickly mobilize in search of opportunities to contribute to the relief efforts. Individuals who are not affiliated with relief agencies prior to the disaster have been label 'spontaneous volunteers'. Spontaneous volunteers represent a tremendous asset and make valuable contributions towards relief efforts; however, they may also represent a potential source of substantial risk and uncertainty. These volunteers interact with beneficiaries, trained and affiliated volunteers, emergency management officials, and nonprofit organizations. While managing spontaneous volunteers is challenging, it is worth finding ways to effectively integrate them into the formal emergency management infrastructure. To do this we must understand what it means to be successful in the response effort. This Rapid Response Research (RAPID) project develops appropriate performance indicators that can be used to evaluate the effectiveness of volunteer management systems currently in practice. The results will improve practical management principles aimed at successfully incorporating spontaneous volunteers into organized relief efforts. This project provides an opportunity for experiential learning for students in emergency management, operations management, and industrial engineering. This scientific research contribution thus supports NSF's mission to promote the progress of science and to advance our national welfare. In this case, the benefits will be insights to improve volunteer management post-disasters which can save lives and reduce economic losses. This RAPID project collects data from volunteers in two cities in North Carolina during the response and recovery phases associated with Hurricane Florence. The collected data will support: (1) the development of key performance indicators associated with volunteer management systems, (2) insights into how well organizations perform based on these metrics during the ongoing relief efforts, and (3) an analysis of the decision making process of volunteer managers and their impact on performance. The team will collect both primary and secondary data. Primary data include semi-structured interviews and observations. Semi-structured interviews will be carried out with spontaneous volunteers, volunteer managers or coordinators of both local agencies and large relief organizations, and beneficiaries. Secondary data refers to data collected by relief organizations in the aftermath of a disaster such as volunteer logs (arrival and departure times), times between customer arrivals (requests for help); and geographic, temporal, and modal variation in volunteer arrivals; documents and newspaper articles.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

像佛罗伦萨飓风这样的灾难吸引了非专业公民，他们迅速动员起来，寻找机会为救援工作做出贡献。灾难发生前没有加入救援机构的个人被贴上了“自发志愿者”的标签。自发的志愿人员是一项巨大的资产，为救济工作作出了宝贵的贡献；然而，他们也可能是重大风险和不确定性的潜在来源。这些志愿者与受益者、训练有素的和附属的志愿者、应急管理官员和非营利组织互动。虽然管理自发志愿人员具有挑战性，但值得设法有效地将他们纳入正式的应急管理基础设施。要做到这一点，我们必须了解在应对努力中取得成功意味着什么。这一快速反应研究(RAPID)项目制定了适当的业绩指标，可用来评价目前实施的志愿人员管理系统的有效性。结果将改进旨在成功地将自发志愿人员纳入有组织的救济工作的实际管理原则。该项目为应急管理、运营管理和工业工程专业的学生提供了一个体验式学习的机会。因此，这项科学研究贡献支持了NSF促进科学进步和增进我们国家福利的使命。在这种情况下，好处将是对灾后改善志愿者管理的洞察，可以拯救生命，减少经济损失。这个快速项目从北卡罗来纳州两个城市的志愿者那里收集了与佛罗伦萨飓风相关的反应和恢复阶段的数据。收集到的数据将支持：(1)制定与志愿人员管理系统相关的关键业绩指标；(2)根据这些指标深入了解各组织在当前救济工作中的业绩情况；(3)分析志愿人员管理人员的决策过程及其对业绩的影响。该团队将收集主要和次要数据。主要数据包括半结构化访谈和观察。将与自发的志愿者、当地机构和大型救济组织的志愿者经理或协调员以及受益者进行半结构化访谈。二次数据是指救援组织在灾难发生后收集的数据，如志愿者日志(到达和离开时间)、客户到达之间的时间(求助)；以及志愿者到达的地理、时间和模式变化；文件和报纸文章。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。