Mark Ferguson

Professor

University of South Carolina

United States

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Mark Ferguson is a Professor at the University of South Carolina, USA. His research focuses on healthcare policy, supply chain management, consumer behavior, and data analytics. Recent publications include studies on opioid prescribing, delivery performance, and hotel industry demand estimation. He is also involved in teaching topics such as supply chain risk management and strategic production decisions.

Articles (11)

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2025

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2025

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2024

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2023

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2023

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2023

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2022

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2022

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2021

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2020

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2020

Collaborators (5)

Matthew Drake

Associate Professor of Supply Chain Management

Duquesne University

UNITED STATES

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Sunil Tiwari

Associate Professor

ESSCA School of Management

FRANCE

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Ovunc Yilmaz

Assistant Professor

University of Colorado Boulder

UNITED STATES

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Xin Ma

Senior Lecturer

MONASH UNIVERSITY

AUSTRALIA

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Guangzhi Shang

UNITED STATES

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Mark Ferguson

Research Interests

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Articles (11)

Prescribers Under Pressure? An Examination of Healthcare Policy, Prescribing Workload, and Competition on Opioid Prescribing

Integrating Analytics Competencies with Operations and Supply Chain Functional Excellence at the University of South Carolina

Disclosing Delivery Performance Information When Consumers Are Sensitive to Promised Delivery Time, Delivery Reliability, and Price

Estimating Personalized Demand with Unobserved No-Purchases Using a Mixture Model: An Application in the Hotel Industry

What affects consumer behavior in mobile health professional diagnosis applications

Analysis of Injury Severity of Work Zone Truck-Involved Crashes in South Carolina for Interstates and Non-Interstates

Strategic production and responsible sourcing decisions under an emissions trading scheme

Strategic behavior for hotel standby upgrade programs: Empirical evidence and pricing implications

Teaching supply chain risk management in the COVID‐19 Age: A review and classroom exercise

Optimizing stock‐keeping unit selection for promotional display space at grocery retailers

Using transactions data to improve consumer returns forecasting

Collaborators (5)

Matthew Drake

Sunil Tiwari

Ovunc Yilmaz

Xin Ma

Guangzhi Shang

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