Alice Li

Professor Alice Li joined the Fisher College of Business at The Ohio State University in 2017, after serving on the faculty at Indiana University from 2014 to 2017. She earned her Ph.D. in Marketing from the University of Maryland – College Park in 2014.

Her research focuses on the consumer purchase journey, emphasizing marketing effectiveness through marketing mix models (MMM) and multi-touch attribution (MTA). Recently, she has concentrated on helping firms address challenges related to fragmented data, privacy regulations, and predictive analytics in marketing. Her work includes: (1) measuring the consumer purchase journey with MMM and MTA, (2) initiating the journey through acquisition strategies such as sampling, free trials, and freemium models, and (3) advising firms on navigating disruptions in the consumer journey, such as radical innovations. She applies Bayesian statistics, econometrics, machine learning, and causal inference to real-world data across sectors like hospitality, software, banking, and publishing.

Professor Li’s research has earned over 3,300 Google Scholar citations and 10,000 SSRN downloads. She is a recipient of the MSI Young Scholar Award and a two-time finalist for the Paul Green Award. Additionally, she has received the IJRM Best Article Award, the Adobe Digital Marketing Research Award, and several research fellowships and grants. Her work is published in leading journals, including Marketing Science, Journal of Marketing Research, and Production and Operations Management.

In service to the field, she contributes to committees for MSI, ASA, and AMA, and serves as an associate editor or reviewer for multiple journals. She frequently reviews for dissertation awards, conferences, and journals in operations management and information systems.

At OSU, Professor Li is among the 2023-24 cohort of the President and Provost’s Leadership Institute. At Fisher, she received the 2024 Pace Setters Research Award and the 2023 Faculty Service Recognition Award. She teaches several courses across undergraduate, SMBA, Executive, and Ph.D. programs and enjoys coaching students on solving challenging marketing research problems and celebrating their achievements.

• Ph.D., University of Maryland
• M.S., University of Illinois, Urbana Champaign
• B.S., Renmin University of China

      Google Scholar Citations: 3446.

      SSRN downloads: 10949.

1. Libai, Barak, Ana Babic Rosario, Maximilian Beichert, Bas Donkers, Michael Haenlein, Reto Hofstetter, P. K. Kannan, Ralf van der Lans, Andreas Lanz, H. Alice Li, Dina Mayzlin, Eitan Muller, Daniel Shapira, Jeremy Yang, and Lingling Zhang. “Influencer Marketing Unlocked: Understanding the Value Chains Driving the Creator Economy.” Journal of the Academy of Marketing Science, forthcoming.

• Influencer marketing, creator economy, user-generated content, social media, customer lifetime value, customer equity, platforms, followers

2. Bai, Chunguang, H. Alice Li, and Yongbo Xiao “Industry 4.0 technologies: Empirical impacts and decision framework,” Production and Operations Management, forthcoming.

• Production disruption, improved efficiency, financial performance, stock market reaction.

3. Zhang, Judy, H. Alice Li, and Greg Allenby. “Using Text Analysis in Parallel Mediation Analysis.” Marketing Science, 43, no. 5 (2024): 953-970.

• Topic modeling, lexical priors, semi-supervised LDA, machine learning, heterogeneous effects.

4. Wan, Xiang, and H. Alice Li. “The Spillover Effect in Product Variety: Gaining from Losing a Competition.” Production and Operations Management., 33, no. 2 (2024): 577-594.

• Product variety, innovation, sales dispersion, long-tail product, causal inference.

5. Churchill, Victor, H. Alice Li, and Dongbin Xiu. “Unraveling Consumer Purchase Journey Using Neural Network Models.” Journal of Machine Learning for Modeling and Computing, 5, no.1 (2024): 69-83.

• Marketing mix model, consumer purchase journey, deep learning, multi-channel marketing, Shapley value, short lookback window.

6. Li, H. Alice and Wan, Xiang (2023), “Impact of Conflict Delisting and Relisting on Remaining Products in Retail Stores - Sales Gains across Products Categories and Spillovers to Nearby Stores,” Production and Operations Management, 32(7), 2264-2282.

• Marketplace disruption, back to normal, old vs new normal, causal inference, machine learning.

7. Li, Hongshuang (Alice) (2022), “Converting Free Users to Paid Subscribers in SaaS Contexts – The Impact of Marketing Touchpoints, Message Content, and Usage,” Production and Operations Management, 31(5), 2185-2203.

• Software-as-a-service, free-trial acquisition, media mix model, digital touchpoints, software usage.

8. Li, Hongshuang (Alice) and Liye Ma (2020), “Charting the Path to Purchase using Topic Models,” Journal of Marketing Research, 57(6), 1019-1036.

• Path to purchase, search phrase, textual analysis, machine learning, topic model, hidden Markov model.

9. Li, Hongshuang (Alice), Sanjay Jain, and P.K. Kannan (2019), “Optimal Design of Free Samples for Digital Products and Services,” Journal of Marketing Research, 56(3): 419–438.

• Digital content, software as a service, free sample, freemium, field experiment.

10. P.K. Kannan and Hongshuang (Alice) Li (2017), “Digital Marketing: A Framework, Review and Research Agenda,” International Journal of Research in Marketing, 34 (1): 22-45.

• Digital marketing, mobile marketing, search engine, user generated content, omni-channel marketing.

11. Li, Hongshuang (Alice), P.K. Kannan, Siva Viswanathan and Abhishek Pani (2016), “Attribution Strategies and Return on Keyword Investment in Paid Search Advertising,” Marketing Science, 35(6), 831-848.

• Last-touch attribution, first-touch attribution, purchase funnel, paid search advertising, ROI, budget allocation.

12. Michel Wedel, Jin Yan, Eliot L. Siegel, and Hongshuang (Alice) Li (2016), “Nodule Detection in Chest X-Rays with Eye Movements,” Journal of Behavioral Decision Making, 29 (2-3): 254–270.

• Eye tracking, partially invisible Markov model, regions of interest.

13. Li, Hongshuang (Alice), and P.K. Kannan (2014), “Attributing Conversions in Multichannel Online Marketing Environment: An Empirical Model and a Field Experiment,” Journal of Marketing Research, 51 (1), 40–56.

• Multi-touch attribution, Shapley value, Bayesian, field experiment, carryover, spillover.