Jung Ha-Brookshire
Jung Ha-Brookshire, PhD
Assistant Professor
137 Stanley Hall
University of Missouri
Columbia, MO 65211
Phone: (573) 882-6316
Fax: (573) 882-3289
E-mail: habrookshirej@missouri.edu
Vita (PDF)
Education
PhD, University of North Carolina at Greensboro; MBA, Baruch College, City University of New York; BHE, Seoul National University; AAS, Fashion Institute of Technology
Bio
Dr. Jung E. Ha-Brookshire is an Assistant Professor at the University of Missouri in the Textile and Apparel Management Department. She received her PhD in Consumer, Apparel, and Retail Studies in 2007 from the University of North Carolina at Greensboro. Prior to her PhD, Dr. Ha-Brookshire has worked as a production assistant, production coordinator, production manager, and sourcing manager for Adjmi Apparel Group and Richard Leeds International, Inc. located in New York City since 1997. During her time in NYC, she extensively traveled to various countries in Asia and Central America for textile and apparel product sourcing, product development, production coordination, and quality assurance. After 7 years of hard work in NYC, she realized that she wanted to spend more time on passing what she has learned onto other people who are interested in this fascinating industry. To do so, she came back to school to earn a degree and joined the TAM department in the Fall of 2007. Dr. Ha-Brookshire’s husband, Richard Brookshire, has retired from Microsoft, Corp. where he had had his 17-year career and both now happily live in the country.
Research Interests
Dr. Jung Ha-Brookshire’s primary research interests originate from her 8-year professional work experience as a production/sourcing manager in NYC. She is a member of doctoral faculty and qualified to supervise doctoral students independently. The areas of her research interests include global supply chain and sourcing strategies, sustainable production and consumption of textile and apparel, and firm/industry identity issues. She uses traditional quantitative, qualitative, and psycho-physiological data to analyze her research questions.
