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Xueming Luo

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Xueming Luo

  • Fox School of Business and Management

    • Marketing and Supply Chain Management

      • Charles E. Gilliland, Jr. Professor in Marketing

Biography

Xueming Luo is Charles Gilliland Chair Professor of Marketing, Professor of Strategic Management, Professor of Management Information Systems, and Founder/Director of the Global Center for big data in mobile analytics in the Fox School of Business at Temple University. Prior to joining Fox School, Dr. Luo was the Eunice and James L. West Distinguished Professor in the College of Business at the University of Texas at Arlington. He has been a visiting professor at Aalto University (Finland), University of Mannheim (Germany), Munich School of Management, LMU (Germany), Peking University (China), Fudan University (China), and University of Hong Kong (China Hong Kong). His current research focuses on mobile consumer behavior, big data marketing strategies, customer analytics with machine learning and networks visualization, gaming and virtual identity, social targeting ads, organizational strategies, and the financial value of marketing metrics. He is also one of the most prolific and influential leaders in the marketing-finance interface. Dr. Luo has been ranked first in terms of citations in the top five marketing journals: Journal of Marketing Research, Marketing Science, Journal of Marketing, Journal of Consumer Research and Journal of the Academy of Marketing Science from 2006-2010. He is also ranked among the top scholars contributing to the Journal of Marketing, a premier journal in the discipline, from 2006-2014. At Fox, he serves as Director of the Global Center on Big Data and Mobile Analytics. This Center is an essential part of a University-wide “Big Data Institute,’ which aims to facilitate research, education, industry practice, and technology transfer in the cross-disciplinary domain of big data, including Health Sciences, Social Media, Mobile Analytics, High-dimensional Statistics, among others. This Center has put together an inter-disciplinary team of marketing, information systems, computer science, neuroscience, and statistics faculty and PhD students for various research projects on big data. He has worked with leading global company partners in the mobile communications, online gaming, investment banking, retailing, health care, pharmaceutical, and petroleum industries. He has extensive global industry experience through executive consulting at many international firms, including Wal-Mart, Dell, SinoPetro, Unilever, and Procter & Gamble. Dr. Luo is also a stellar teacher and has a wide variety of international experience in teaching, MBA, PhD, and Executive MBA classes, including visiting professorships at the Munich School of Management and University of Mannheim in Germany, Aalto University in Finland, and University of Hong Kong, Fudan University and Peking University in China. Dr. Luo’s research has been published or forthcoming in Marketing Science, Journal of Marketing Research, Journal of Marketing, Management Science, Harvard Business Review, MIT Sloan Management Review, Information Systems Research, Strategic Management Journal, Journal of International Business Studies, Journal of Consumer Psychology, and Journal of the Academy of Marketing Science, among others. He has received many grants and awards recognizing his research leadership. Dr. Luo is also a stellar teacher and has a wide variety of international experience in teaching, MBA, PhD, and Executive MBA classes. He is an Associate Editor for the Journal of Marketing Research, an Editorial Review Board member for the Marketing Science, Journal of Marketing Research, Journal of Marketing, and Journal of the Academy of Marketing Science, and a reviewer for many other journals in marketing, management, retailing, consumer psychology, and international business.

Research Interests

  • large-scale field experiment mobile marketing
  • customer analytics with machine learning and big data
  • deep learning for personalized promotions
  • competitive pricing
  • omnichannel targeting
  • social media networking ads
  • artificial intelligence and recommendation algorithms

Courses Taught

Number

Name

Level

MKTG 9003

Sem-Quant Research-Mktg

Graduate

MKTG 9006

Empirical Modeling in Marketing

Graduate

MKTG 9090

Sem-Sel Topics in Mktg

Graduate

Selected Publications

Recent

  • Tong, S., Jia, N., Luo, X., & Fang, Z. (2021). The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance. Strategic Management Journal, 42(9), 1600-1631. doi: 10.1002/smj.3322.

  • Li, J., Luo, X., Lu, X., & Moriguchi, T. (2021). The Double-Edged Effects of E-Commerce Cart Retargeting: Does Retargeting Too Early Backfire? Journal of Marketing, 85(4), 123-140. doi: 10.1177/0022242920959043.

  • Luo, X., Qin, M., Fang, Z., & Qu, Z. (2021). Artificial Intelligence Coaches for Sales Agents: Caveats and Solutions. Journal of Marketing, 85(2), 14-32. doi: 10.1177/0022242920956676.

  • Luo, X., Tong, S., Lin, Z., & Zhang, C. (2021). The Impact of Platform Protection Insurance on Buyers and Sellers in the Sharing Economy: A Natural Experiment. Journal of Marketing, 85(2), 50-69. doi: 10.1177/0022242920962510.

  • Tae, C., Luo, X., & Lin, Z. (2020). Capacity-constrained entrepreneurs and their product portfolio size: The response to a platform design change on a Chinese sharing economy platform. Strategic Entrepreneurship Journal, 14(3), 302-328. doi: 10.1002/sej.1360.

  • Luo, X., Zhang, Y., Zeng, F., & Qu, Z. (2020). Complementarity and cannibalization of offline-TO-ONLINE targeting: A field experiment on omnichannel commerce. MIS Quarterly: Management Information Systems, 44(2), 957-982. doi: 10.25300/MISQ/2020/15630.

  • Tong, S., Luo, X., & Xu, B. (2020). Personalized mobile marketing strategies. Journal of the Academy of Marketing Science, 48(1), 64-78. doi: 10.1007/s11747-019-00693-3.

  • Zhang, K. & Luo, X. (2020). Leveraging deep-learning and field experiment response heterogeneity to enhance customer targeting effectiveness. 40th International Conference on Information Systems, ICIS 2019.

  • Zhang, Y., Li, B., Luo, X., & Wang, X. (2019). Personalized Mobile Targeting with User Engagement Stages: Combining a Structural Hidden Markov Model and Field Experiment. Information Systems Research, 30(3), 787-804. doi: 10.1287/isre.2018.0831.

  • Phang, C., Luo, X., & Fang, Z. (2019). Mobile Time-Based Targeting: Matching Product-Value Appeal to Time of Day. Journal of Management Information Systems, 36(2), 513-545. doi: 10.1080/07421222.2019.1598696.

  • Fong, N., Zhang, Y., Luo, X., & Wang, X. (2019). Targeted promotions on an E-book platform: Crowding out, heterogeneity, and opportunity costs. Journal of Marketing Research, 56(2), 310-323. doi: 10.1177/0022243718817513.

  • Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019). Frontiers: Machines vs. humans: The impact of artificial intelligence chatbot disclosure on customer purchases. Marketing Science, 38(6), 937-947. doi: 10.1287/mksc.2019.1192.

  • Luo, X., Lu, X., & Li, J. (2019). When and How to Leverage E-commerce Cart Targeting: The relative and moderated effects of scarcity and price incentives with a two-stage field experiment and causal forest optimization. Information Systems Research, 30(4), 1203-1227. doi: 10.1287/isre.2019.0859.

  • Song, Y.(., Phang, C.W.(., Yang, S., & Luo, X. (2018). The Effectiveness of Contextual Competitive Targeting in Conjunction with Promotional Incentives. International Journal of Electronic Commerce, 22(3), 349-385. doi: 10.1080/10864415.2018.1462952.

  • Aspara, J., Klein, J., Luo, X., & Tikkanen, H. (2018). The Dilemma of Service Productivity and Service Innovation: An Empirical Exploration in Financial Services. Journal of Service Research, 21(2), 249-262. doi: 10.1177/1094670517738368.

  • Aspara, J., Wittkowski, K., & Luo, X. (2018). Types of intelligence predict likelihood to get married and stay married: Large-scale empirical evidence for evolutionary theory. Personality and Individual Differences, 122, 1-6. doi: 10.1016/j.paid.2017.09.028.

  • Luo, X. Dynamic Targeting and Optimization with Individual Heterogeneity.

  • Dubé, J., Fang, Z., Fong, N., & Luo, X. (2017). Competitive price targeting with smartphone coupons. Marketing Science, 36(6), 944-975. doi: 10.1287/mksc.2017.1042.

  • Luo, X., Dupe, J., Fang, Z., & Fong, N. Nonlinear Role of Social Influence for Individual Goal Pursuit and Spending. Journal of Marketing, 36, 944-975. American Marketing Association.

  • Verhoef, P., Stephen, A., Kannan, P., Luo, X., Abhishek, V., Andrews, M., Bart, Y., Datta, H., Fong, N., Hoffman, D., Hu, M., Novak, T., Rand, W., & Zhang, Y. (2017). Consumer Connectivity in a Complex, Technology-enabled, and Mobile-oriented World with Smart Products. Journal of Interactive Marketing, 40, 1-8. doi: 10.1016/j.intmar.2017.06.001.

  • Zhang, C., Phang, C., Wu, Q., & Luo, X. (2017). Nonlinear effects of social connections and interactions on individual goal attainment and spending: Evidences from online gaming markets. Journal of Marketing, 81(6), 132-155. doi: 10.1509/jm.16.0038.

  • Aspara, J., Luo, X., & Dhar, R. (2017). Effect of intelligence on consumers' responsiveness to a pro-environmental tax: Evidence from large-scale data on car acquisitions of male consumers. Journal of Consumer Psychology, 27(4), 448-455. doi: 10.1016/j.jcps.2017.03.002.

  • Luo, X. Dynamic Targeting and Optimization with Individual Heterogeneity. New York University.

  • Luo, X., Gu, B., Zhang, J., & Phang, C. (2017). Expert blogs and consumer perceptions of competing brands. MIS Quarterly: Management Information Systems, 41(2), 371-395. doi: 10.25300/MISQ/2017/41.2.03.

  • Luo, X. The Crowding-out Effects of Targeted Promotions. University of Southern California.

  • Dubé, J., Luo, X., & Fang, Z. Self-Signaling and Prosocial Behavior: A Cause Marketing Experiment. Marketing Science, 36(2), 161-186. Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/mksc.2016.1012.