Joseph Ryoo

Joseph Ryoo

Assistant Professor, Department of Marketing
  • joseph.ryoo@asu.edu
  • Mail code: 4106
    Campus: Tempe
  • ‌
Biography Research Teaching Public Work
Previous Next
Long Bio

Jun Hyun (Joseph) Ryoo is an Assistant Professor in the Department of Marketing. He is an empirical researcher that applies econometric and machine learning methods to address marketing problems involving unstructured data (e.g., texts, images). Particularly, he develops and validates measures that extract interpretable insights from online data to assist managerial decision making. His work has appeared in Journal of Marketing, Journal of Retailing, and Customer Needs and Solutions, and was finalist for the Donald R. Lehmann Award in 2023, and winner of the Research in Practice Award in 2024.

Joseph Ryoo currently serves on the editorial review board of Journal of Marketing. Prior to joining Arizona State University, he served as a faculty member at City University of Hong Kong from 2021 to 2023.

Education
  • Ph.D. in Business Administration (Marketing), The University of Western Ontario, 2021.
  • B.A. in Honours Business Administration, The University of Western Ontario, 2016.
Research Interests

Empirical Modelling, Unstructured Data, Natural Language Processing, User-Generated Content

Publications

Wang, Xin (Shane)*, Jun Hyun (Joseph) Ryoo*, Margaret C. Campbell*, J. Jeffrey Inman* (2024), "Unraveling Impact: Exploring Effects of Novelty in Top Consumer Research Journals," Journal of Consumer Research, Forthcoming. *Equal Authorship.

Wang, Xin (Shane), Jiaxiu He, David J. Curry, Jun Hyun (Joseph) Ryoo (2022), "Attribute Embedding: Learning Hierarchical Representations of Product Attributes from Consumer Reviews," Journal of Marketing, 86(6), 155-175.

Wang, Xin (Shane), Jun Hyun (Joseph) Ryoo, Neil T. Bendle, Praveen K. Kopalle (2021), "The Role of Machine Learning Analytics and Metrics in Retailing Research," Journal of Retailing, 97(4), 658-675.

Ryoo, Jun Hyun (Joseph), Xin (Shane) Wang, Shijie Lu (2021), "Do Spoilers Really Spoil? Using Topic Modeling to Measure the Effect of Spoiler Reviews on Box Office Revenue," Journal of Marketing, 85(2), 70-88.

Borah, Abhishek, Xin (Shane) Wang, Jun Hyun (Joseph) Ryoo (2018), "Understanding Influence of Marketing Thought on Practice: An Analysis of Business Journals using Textual and Latent Dirichlet Allocation (LDA) Analysis," Customer Needs and Solutions, 5(3), 146-161.

Ryoo, Jun Hyun (Joseph), Neil T. Bendle (2017), "Understanding the Social Media Strategies of US Primary Candidates," Journal of Political Marketing, 16(3-4), 244-266.

Courses
2023 Fall
Course Number Course Title
MKT 352 Marketing Research
MKT 352 Marketing Research
Honors / Awards
  • 2024 Journal of Marketing Outstanding Reviewer Award
  • 2024 AMA CBSIG Research in Practice Award
  • Finalist, 2023 AMA MR-SIG Donald R. Lehmann Award
  • Participant, 2023 12th Triennial Invitational Choice Symposium, INSEAD
  • Fellow, 2022 ISMS Early Career Scholars Camp, Duke University
  • Doctoral Fellow, 2019 AMA-Sheth Foundation Doctoral Consortium, New York University
  • Finalist, 2019 INFORMS-IBM Service Science Section Best Student Paper Award
  • Best Paper in Track, Big Data: When Marketing Meets Computer Science, 2018 Winter AMA
Editorships

Editorial Board Member, Journal of Marketing, 2024 - Present.

Expertise Areas
Data Analysis
Machine Learning
Marketing Analytics
Maps and Locations Jobs Directory Contact ASU My ASU
Repeatedly ranked #1 in innovation (ASU ahead of MIT and Stanford), sustainability (ASU ahead of Stanford and UC Berkeley), and global impact (ASU ahead of MIT and Penn State)
Copyright and Trademark Accessibility Privacy Terms of Use Emergency