Estimating Effectiveness of Identifying Human Trafficking via Data Envelopment Analysis

数据包络分析 普通合伙企业 运输工程 贩卖人口 人力资源 过境(卫星) 工作(物理) 运筹学 业务 计算机科学 工程类 财务 管理 经济 公共交通 统计 机械工程 数学 犯罪学 社会学
作者
Geri L. Dimas,Malak El Khalkhali,Alex C. Bender,Kayse Lee Maass,Renata Konrad,Jeffrey S. Blom,Joe Zhu,Andrew C. Trapp
出处
期刊:INFORMS journal on applied analytics [Institute for Operations Research and the Management Sciences]
卷期号:53 (6): 408-424 被引量:3
标识
DOI:10.1287/inte.2023.1162
摘要

Transit monitoring is a preventive approach used to identify possible cases of human trafficking before exploitation while an individual is in transit or before crossing a border. Transit monitoring is often conducted by nongovernmental organizations (NGOs) that train staff to identify and intercept suspicious activity. Love Justice International (LJI) is a well-established NGO that has been conducting transit monitoring for years along the Nepal-India border at multiple monitoring stations. In partnership with LJI, we developed a system that uses data envelopment analysis (DEA) to help LJI decision makers evaluate the performance of these stations at intercepting potential human trafficking victims given the amount of resources (staff, etc.) available and make specific operational improvement recommendations. Our model consists of 91 decision-making units from seven stations over 13 quarters and considers three inputs, four outputs, and three homogeneity criteria. Using this model, we identified efficient stations, compared rankings of station performance, and recommended strategies to improve efficiency. To the best of our knowledge, this is the first application of DEA in the anti-human trafficking domain. History: This paper was refereed. Funding: This material is based upon work supported by the National Science Foundation [Grant CMMI-1841893].
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