D-ISN: Constraining Illicit Decision Making Within and Across Dynamic Supply Networks

D-ISN：限制动态供应网络内部和之间的非法决策

• 批准号: 2237907
• 负责人: Gisela Bichler
• 金额: $ 99.27万
• 依托单位: University Enterprises Corporation at CSUSB
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2027-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2237907&HistoricalAwards=false
• 关键词: ISN; Constraining; Illicit; Decision; Making

The objective of this Disrupting Operations of Illicit Supply Networks (D-ISN) research study is to develop and evaluate an integrated theory of illicit decision making. This research examines how, when, and why individuals choose to engage in legitimate versus illicit activities to maximize profits or gain a competitive advantage within their industry. Using a network approach, the project investigates how individual decisions to comply with or disregard laws and regulations affect the decisions of other actors within a supply network. The findings will identify targeted interventions that can be enacted through laws, policies, regulations, and business practices to constrain the benefits gained by actors engaging in illicit activity. This project serves the national interest by advancing new ways to create policies and practices to support national prosperity by constraining illicit decision making and will promote the progress of science to encourage new dialogues among stakeholders to find ways to disrupt illicit activities within a supply network. The project takes a multidisciplinary perspective, with PIs from the fields of criminology, business and supply chains, and operations research.This project uses a networked agent-based model (NABM) to simulate illicit decision making at the transaction level among a networked community of competing legitimate, criminal, and illicit-susceptible actors. Applying theories of competition, the project utilizes the rational choice perspective of offender decision making within a utility maximization framework to model the competitive dynamics underpinning illicit supply networks. This research will develop initial models based on characteristics of the massage therapy industry, and the findings will be extended in applied to other industries that also involve illicit supply networks, such as agriculture, pharmaceutical drugs, and counterfeit items. This project will expose two fundamental issues essential for understanding and disrupting illicit supply networks: (1) the competitive dynamics affecting consumers and suppliers that drive criminal activities; and (2) the role that civil, criminal, and for-profit business regulations play in shifting market conditions. The project team will engage with collaborators from academia, industry, and law enforcement to develop a generalizable, domain-agnostic framework to direct ISN disruption strategies to constrain the cost-benefit calculation of potential offenders. The project will educate graduate students within a multi-disciplinary environment who will be capable of addressing complex societal issues.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.

非法供应网络（D-ISN）研究的这种破坏操作的目的是开发和评估非法决策的综合理论。这项研究研究了个人如何，何时以及为什么选择从事合法活动与非法活动，以最大程度地利用利润或在其行业中获得竞争优势。该项目使用网络方法调查了个人决策如何遵守或无视法律法规会影响供应网络中其他参与者的决策。这些发现将确定可以通过法律，政策，法规和商业实践来制定的有针对性干预措施，以限制从事非法活动的参与者获得的收益。该项目通过促进新的方式来制定政策和实践来支持国家利益，以通过限制非法决策来支持国家繁荣，并将促进科学的进步，以鼓励利益相关者之间的新对话，以找到破坏供应网络中非法活动的方法。 该项目采用了多学科的观点，来自犯罪学，商业和供应链和运营研究领域的PI。本项目使用基于网络的代理模型（NABM）模拟在交易中的非法决策在一个网络的社区中的非法决策，竞争合法，犯罪和非法敏感的演员。该项目采用竞争理论，利用了实用程序最大化框架内犯罪者决策的理性选择观点，以建模竞争性动态基于非法供应网络的基础。这项研究将基于按摩治疗行业的特征开发初始模型，并将在应用于其他涉及非法供应网络（例如农业，药品和伪造物品）的其他行业中扩展结果。该项目将暴露出对理解和破坏非法供应网络至关重要的两个基本问题：（1）影响驱动犯罪活动的消费者和供应商的竞争动力； （2）民事，犯罪和营利性商业法规在不断变化的市场状况中所扮演的角色。该项目团队将与学术界，行业和执法部门的合作者互动，以开发一个可普遍的，域名的框架框架，以指导IS的IS不中断策略，以限制对潜在罪犯的成本效益计算。 该项目将在多学科环境中教育研究生，他们将能够解决复杂的社会问题。该奖项反映了NSF的法定使命，并被认为是值得通过基金会的知识分子优点和更广泛的影响评估的评估来支持的。