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Emily Ko

Emily Ko

Assistant Professor

Eunhee (Emily) Ko is an assistant professor in Integrated Marketing Communications at Medill, where she joined the faculty in 2019. She received a Ph.D. from Goizueta Business School at Emory University in 2019, focusing on marketing analytics and quantitative modeling. 

Her research interests span online marketing and user-generated contents (structured and unstructured–texts, images and videos), as well as applications of machine learning and econometric methods. She continues to focus on content features from user-generated content (UGC), addressing the important role of semanticity in UGC to empower businesses’ tangible or intangible asset-acquisitions.

Her primary purpose as a teacher is to empower students to become effective decision-makers, rooted in holistic understandings of complex business environments. She prioritizes active learning in the subjects of digital marketing, business analytics, customer intelligence, or marketing research. She leverages her deep and wide exploration of a variety of academic subjects (e.g., marketing, computer science, psychology, econometric modeling) and use the interdisciplinary approach to teaching.

Education

  • MS in analytics from Northwestern University McCormick School of Engineering, 2013
  • PhD in marketing from Emory University’s Goizueta Business School, 2019

Areas of Research

  • 2014 IEEE 28th International Conference on AINA 2014, May (Victoria, British Columbia, Canada), “Semantic Properties of Customer Sentiment in Tweets”
  • 2017 INFORMS Marketing Science 2017, June (Los Angeles, CA, USA), “Semantic Characteristics of Suspicious Reviews and Causal Determinant of Review Fraud”
  • 2018 ACM Conference on ACMSE 2018, March (Richmond, KY, USA), “A Study of Chief Marketing Officer (CMO) Tenure with Competitive Sorting Model”
  • 2018 EMAC 47th Annual Conference 2018, May (Glasgow, UK), “Suspicious Online Reviews and Brand Advertising Effort ”
  • 2018 INFORMS Marketing Science 2018, June (Philadelphia, PA, USA), “Content Engineering of Images: The Effect of Sentiment and Complexity on Consumer Engagement with Brand-Themed Content”
  • 2018 INFORMS Marketing Science 2018, June (Philadelphia, PA, USA), “Suspicious Online Reviews and Brand Advertising Effort”

Authored Works

  • Eun Hee Ko and Diego Klabjan (2014), “Semantic Properties of Customer Sentiment in Tweets”, Proceedings of the 2014 IEEE 28th International Conference on AINA 2014
  • Eun Hee Ko, Douglas Bowman, Sierra Chugg, Dae Wook Kim (2018), “A Study of Chief Marketing Officer (CMO) Tenure with Competitive Sorting Model”, Proceedings of the ACMSE 2018 Conference. ACM, 2018
  • Alex Dixon, Dae Wook Kim and Eun Hee Ko (2019), “Efficient Clustering for User’s Brand Sentiments Analysis on Online Social Media” to appear at the 54th NCHC Annual Conference, New Orleans, Louisiana, November 6-10, 2019

Awards And Honors

  • ISMS Doctoral Consortium Fellow, Temple University, 2018
  • Sheth Fellowship, Emory University, 2017
  • ISMS Doctoral Consortium Fellow, University of Southern Cal-ifornia, 2017
  • Goizueta Business School Doctoral Fellowship, Emory Uni-versity, 2014-2018
  • Lecture and Research Support Scholarships, Seoul National University, 2007-2009
  • Merit-based Scholarships for Applicant Excellence, University of Cincinnati, 2006-2007
  • Dean’s List Scholarships, Yonsei University, Fall 1999, Spring 2000, Spring 2001, Fall 2001, Spring 2002
  • Award for Research Paper, L’Oreal Korea, 2002
  • High Honors Student, Yonsei University, Fall 2001
  • Highest Honors Student, Yonsei University, Fall 2000
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