Nathan Yang

Articles

• Labonté, K., Knäuper, B., Dubé, L., 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.  link >
• 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, Springer Science and Business Media LLC, 20 (3), 275-292.  link >
• Liu, P., Inman, J., Li, B., Wong, C., & Yang, N. (2022). Consumer Health in the Digital Age. Journal of the Association for Consumer Research, University of Chicago Press, 7 (2), 198-209.  link >
• Ergin, E., Gümüs, M., & Yang, N. (2022). An Empirical Analysis of Intra-Firm Product Substitutability in Fashion Retailing. Production and Operations Management, SAGE Publications, 31 (2), 607-621.  link >
• 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).
• 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 >
• Nishida, M., & Yang, N. (2020). Threat of Entry and Organizational-Form Choice: The Case of Franchising in Retailing. Journal of Marketing Research, SAGE Publications, 57 (5), 810-830.  link >
• Yang, N. (2020). Learning in retail entry. International Journal of Research in Marketing, Elsevier BV, 37 (2), 336-355.  link >
• Uetake, K., & Yang, N. (2020). Inspiration from the “Biggest Loser”: Social Interactions in a Weight Loss Program. Marketing Science, Institute for Operations Research and the Management Sciences (INFORMS), 39 (3), 487-499.  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.
• Blevins, J., Khwaja, A., & Yang, N. (2018). Firm Expansion, Size Spillovers, and Market Dominance in Retail Chain Dynamics. Management Science, Institute for Operations Research and the Management Sciences (INFORMS), 64 (9), 4070-4093.  link >
• 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 >
• Yang, N. (2012). Burger King and McDonald’s: Where’s the Spillover? International Journal of the Economics of Business, Informa UK Limited, 19 (2), 255-281.  link >
• Chi, F., & Yang, N. (2011). Twitter Adoption in Congress. Review of Network Economics, Walter de Gruyter GmbH, 10 (1).  link >

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.