A Framework to Develop Interventions to Address Labor Exploitation and Trafficking: Integration of Behavioral and Decision Science within a Case Study of Day Laborers

dc.creatorKammer-Kerwick, M
dc.creatorYundt-Pacheco, M
dc.creatorVashisht, N
dc.creatorTakasaki, K
dc.creatorBusch-Armendariz, N
dc.date.accessioned2023-04-04T16:50:52Z
dc.date.available2023-04-04T16:50:52Z
dc.date.issued2023
dc.description.abstractThis paper describes a process that integrates behavioral and decision science methods to design and evaluate interventions to disrupt illicit behaviors. We developed this process by extending a framework used to study systems with uncertain outcomes, where only partial information is observable, and wherein there are multiple participating parties with competing goals. The extended framework that we propose builds from artefactual data collection, thematic analysis, and descriptive analysis, toward predictive modeling and agent-based modeling. We use agent-based modeling to characterize and predict interactions between system participants for the purpose of improving our understanding of interventional targets in a virtual environment before piloting them in the field. We apply our extended framework to an exploratory case study that examines the potential of worker centers as a venue for deploying interventions to address labor exploitation and human trafficking. This case study focuses on reducing wage theft, the most prevalent form of exploitation experienced by day laborers and applies the first three steps of the extended framework. Specifically, the case study makes a preliminary assessment of two types of social interventions designed to disrupt exploitative processes and improve the experiences of day laborers, namely: (1) advocates training day laborers about their workers’ rights and options that they have for addressing wage theft and (2) media campaigns designed to disseminate similar educational messages about workers’ rights and options to address wage theft through broadcast channels. Applying the extended framework to this case study of day laborers at a worker center demonstrates how digital technology could be used to monitor, evaluate, and support collaborations between worker center staff and day laborers. Ideally, these collaborations could be improved to mitigate the risks and costs of wage theft, build trust between worker center stakeholders, and address communication challenges between day laborers and employers, in the context of temporary work. Based on the application of the extended framework to this case study of worker center day laborers, we discuss how next steps in the research framework should prioritize understanding how and why employers make decisions to participate in wage theft and the potential for restorative justice and equity matching as a relationship model for employers and laborers in a well-being economy.en_US
dc.description.departmentBureau of Business Researchen_US
dc.identifier.doidoi.org/10.3390/soc13040096
dc.identifier.urihttps://hdl.handle.net/2152/117747
dc.identifier.urihttp://dx.doi.org/10.26153/tsw/44626
dc.language.isoengen_US
dc.publisherSocietiesen_US
dc.relation.ispartofBureau of Business Researchen_US
dc.rightsCC0 1.0 Universal*
dc.rights.restrictionOpenen_US
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectlabor exploitationen_US
dc.subjectlabor traffickingen_US
dc.subjectintervention frameworken_US
dc.subjectagent-based modelsen_US
dc.subjectdisruptionen_US
dc.subjectcollaborationen_US
dc.subjectworker centersen_US
dc.subjectwell-being economyen_US
dc.titleA Framework to Develop Interventions to Address Labor Exploitation and Trafficking: Integration of Behavioral and Decision Science within a Case Study of Day Laborersen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
societies-13-00096.pdf
Size:
4.58 MB
Format:
Adobe Portable Document Format
Description:
Main article
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.64 KB
Format:
Item-specific license agreed upon to submission
Description:
Collections