Nathan Yang

Contact

ncyang@illinois.edu

Vita

Google Scholar

SSRN

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Educational Background

Ph.D., Economics, University of Toronto, 2013
M.A., Economics, University of Toronto, 2007
B.Sc., Mathematics, University of Alberta, 2006

Positions Held

Assistant Professor, Cornell University, 2020-2025
Assistant Professor, McGill University, 2015-2020
Post-Doctoral Associate and Lecturer, Yale University, 2012-2015

Recent Publications

Fang, L., & Yang, N. (2024). Measuring Deterrence Motives in Dynamic Oligopoly Games. Management Science, Institute for Operations Research and the Management Sciences (INFORMS), 70 (6), 3527-3565. link >
Chintala, S., Liaukonyt\.e, J\=ura, ., & Yang, N. (2024). Browsing the Aisles or Browsing the App? How Online Grocery Shopping is Changing What We Buy. Marketing Science, INFORMS, 43 (3), 506--522.
Labonte, K., Kn\"auper, B\"arbel, ., Dub\'e, Laurette, ., Yang, N., & Nielsen, D. (2022). Adherence to a caloric budget and body weight change vary by season, gender, and BMI: an observational study of daily users of a mobile health app. Obesity Science \& Practice, Wiley, 8 (6), 735--747.
Ergin, E., Gumus, M., & Yang, N. (2022). An Empirical Analysis of Intra-Firm Product Substitutability in Fashion Retailing. Production and Operations Management, Wiley, 31 (2), 607--621.
Liu, P., Inman, J., Li, B., Wong, C., & Yang, N. (2022). Consumer Health in the Digital Age. Journal of the Association for Consumer Research, 7 (2).
Nielsen, D., Yang, N., Dub\'e, Laurette, ., Kn\"auper, B\"arbel, ., Ling, Y., & Nie, J. (2022). Consumption Variety in Food Recommendation. Journal of the Association for Consumer Research, 7 (4).

Other Publications

Articles

Khwaja, A., & Yang, N. (2022). Quantifying the Link Between Employee Engagement, and Customer Satisfaction and Retention in the Car Rental Industry. Quantitative Marketing and Economics, 20 275--292.
Hagen, L., Uetake, K., Yang, N., Bollinger, B., et al. (2020). How can machine learning aid behavioral marketing research? Marketing Letters, Springer Science and Business Media LLC, 31 (4), 361-370. link >
Dub\'e, Laurette, ., Neilsen, D., Yang, N., Portella, A., & Brown, S. (2020). Behavior Analytics, Artificial Intelligence and Digital Technologies as Bridges Between Biological, Social and Food Systems. Sight and Life, Sight and Life Magazine, 34 (1), 110--116.
Nishida, M., & Yang, N. (2020). Threat of Entry and Organizational-form Choice: The Case of Franchising in Retailing. Journal of Marketing Research, 57 (5), 810--830.
Uetake, K., & Yang, N. (2020). Inspiration from the "Biggest Loser": Social Interactions in a Weight Loss Program. Marketing Science, 39 (3), 487--499.
Yang, N. (2020). Learning in Retail Entry. International Journal of Research in Marketing, 37 (2), 336--355.
Blevins, J., Khwaja, A., & Yang, N. (2018). Firm Expansion, Size Spillovers and Market Dominance in Retail Chain Dynamics. Management Science, INFORMS, 64 (9), 4070--4093.
Igami, M., & Yang, N. (2016). Unobserved heterogeneity in dynamic games: Cannibalization and preemptive entry of hamburger chains in Canada. Quantitative Economics, The Econometric Society, 7 (2), 483-521. link >
Chi, F., & Yang, N. (2010). Twitter Adoption in Congress. Review of Network Economics, De Gruyter, 10 (1).
Yang, N. (2010). Burger King \& McDonald's: Where's the Spillover. International Journal of the Economics of Business, Taylor \& Francis, 19 (2), 255--281.

Book Chapters

Dub\'e, Laurette, ., Wolfert, S., Zimmerman, K., Yang, N., Diaz-Lopez, F., Arvanti, R., Schillo, S., Nie, J., & Brown, S. (2020). Convergence research and innovation digital backbone: Behavioral analytics, artificial intelligence, and digital technologies as bridges between biological, social, and agri-food systems. How is Digitization Affecting Agri-Food? New Business Models, Strategies, and Organizational Form Routledge.

Conference Proceedings

Ling, Y., Nie, J., Nielsen, D., Knäuper, B., Yang, N., & Dubé, L. (2022). Following Good Examples - Health Goal-Oriented Food Recommendation based on Behavior Data. Proceedings of the ACM Web Conference 2022 ( pp. 3745-3754). ACM. link >

Other Publications

Dub\'e, Laurette, ., Cohen, M., Yang, N., & Monla, B. (2024). Precision Retailing: Driving Results with Behavioral Insights and Data Analytics. Rotman-UTP Publishing.

Teaching Interests

Digital Marketing, Retail

Research Interests

Retail and Strategic Behavior, Behavioral Analytics

Current Courses

Digital Marketing Analytics (MBA 542) Introduces students to the science of web analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide the foundation needed to apply data analytics to real-world challenges marketers confront daily. Students will learn to identify the web analytic tool right for their specific needs; understand valid and reliable ways to collect, analyze, and visualize data from the web; and utilize data in decision making for agencies, organizations or clients.

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