Joseph Ryoo
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Mail code: 4106Campus: Tempe
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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 Consumer Research, and Journal of Retailing, 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.
- Ph.D. in Business Administration (Marketing), The University of Western Ontario, 2021.
- B.A. in Honours Business Administration, The University of Western Ontario, 2016.
Empirical Modelling, Unstructured Data, Natural Language Processing, User-Generated Content
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, 51(1), 169-179.
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
2024 Fall
| Course Number | Course Title |
|---|---|
| MKT 352 | Marketing Research |
| MKT 352 | Marketing Research |
| MKT 352 | Marketing Research |
2023 Fall
| Course Number | Course Title |
|---|---|
| MKT 352 | Marketing Research |
| MKT 352 | Marketing Research |
- Top Cited Article from 2021-2022 in Journal of Marketing
- 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
Editorial Board Member, Journal of Marketing, 2024 - Present.