Disruptive technologies and operations management in the Industry 4.0 era and beyond
In the Industry 4.0 era, automation and data analytics emerge as the major forces to
enhance efficiency in operations management (OM). Disruptive technologies, such as …
enhance efficiency in operations management (OM). Disruptive technologies, such as …
Quantitative investigation of wildlife trafficking supply chains: A review
The illicit wildlife trade is a pervasive and global problem that has far-reaching impacts on
both society and the environment. Aside from threatening numerous species around the …
both society and the environment. Aside from threatening numerous species around the …
Operations research and analytics to combat human trafficking: A systematic review of academic literature
Human trafficking is a widespread and compound social, economic, and human rights issue
occurring in every region of the world. While there have been an increasing number of anti …
occurring in every region of the world. While there have been an increasing number of anti …
An ensemble machine learning approach for forecasting credit risk of agricultural SMEs' investments in agriculture 4.0 through supply chain finance
Credit risk imposes itself as a significant barrier of agriculture 4.0 investments in the supply
chain finance (SCF) especially for Small and Medium-sized Enterprises. Therefore, it is …
chain finance (SCF) especially for Small and Medium-sized Enterprises. Therefore, it is …
Supervised machine learning for theory building and testing: Opportunities in operations management
Abstract Machine learning's (ML's) unique power to approximate functions and identify non‐
obvious regularities in data have attracted considerable attention from researchers in natural …
obvious regularities in data have attracted considerable attention from researchers in natural …
Unmasking human trafficking risk in commercial sex supply chains with machine learning
P Ramchandani, H Bastani, E Wyatt - Available at SSRN 3866259, 2021 - papers.ssrn.com
The covert nature of sex trafficking provides a significant barrier to generating large-scale,
data-driven insights to inform law enforcement, policy and social work. We leverage massive …
data-driven insights to inform law enforcement, policy and social work. We leverage massive …
Detecting human trafficking: Automated classification of online customer reviews of massage businesses
R Li, M Tobey, ME Mayorga… - Manufacturing & …, 2023 - pubsonline.informs.org
Problem definition: Approximately 11,000 alleged illicit massage businesses (IMBs) exist
across the United States hidden in plain sight among legitimate businesses. These illicit …
across the United States hidden in plain sight among legitimate businesses. These illicit …
Disentangling human trafficking types and the identification of pathways to forced labor and sex: an explainable analytics approach
Terms such as human trafficking and modern-day slavery are ephemeral but reflect
manifestations of oppression, servitude, and captivity that perpetually have threatened the …
manifestations of oppression, servitude, and captivity that perpetually have threatened the …
An interdependent network interdiction model for disrupting sex trafficking networks
X Xie, F Aros‐Vera - Production and Operations …, 2022 - journals.sagepub.com
We map the organized sex trafficking networks (STNs) into a network flow model and
develop an interdependent network interdiction model (NIM) to disrupt such networks. Our …
develop an interdependent network interdiction model (NIM) to disrupt such networks. Our …
Improving access to housing and supportive services for runaway and homeless youth: Reducing vulnerability to human trafficking in New York City
Recent estimates indicate that there are over a million runaway and homeless youth and
young adults (RHY) in the United States (US). Exposure to trauma, violence, and substance …
young adults (RHY) in the United States (US). Exposure to trauma, violence, and substance …