Biography
Ting Li is the Professor of Digital Business at Rotterdam School of Management (RSM), Erasmus University, where she leads the Information Systems group. She is a founding member and the Academic Director of Digital Business Practice at the Erasmus Centre for Data Analytics, and also heads the Immersive Tech & AI Lab.
Ting Li is an expert in digital strategy, ecommerce, social and mobile analytics, digital platforms, digital advertising, digital privacy, AI and decision making, impact of emerging technologies (AI, GenAI, AR/VR, NFT), and pricing and revenue management. She has held Visiting Professor at the Wharton School of Business, MIT, Tsinghua University, Temple University, Arizona State University, and City University of Hong Kong. In 2017, she was named by Poets & Quants as one of the Top 40 Professors Under 40 Worldwide.
Ting's research centers on understanding the strategic use of information and digital technologies, with a focus on their economic impacts on consumers, organizations, and society. Theoretically, she develops novel perspectives on how firms build digital capabilities to enhance business performance, and how emerging information technologies shape consumer behavior and decision-making. Methodologically, she applies interdisciplinary approaches combining large-scale randomized field experiments, lab experiments, surveys, eye-tracking, agent-based simulation, and advanced machine learning techniques to explore the impact of IT on individuals, organizations, markets, and networks.
Her work has been published in leading scientific journals, including Management Science, Management Information Systems Quarterly, Information Systems Research, Nature Communications, Production and Operations Management, Harvard Business Reviews, among many others. Her research has earned best paper awards and nominations (European Research Paper of the Year 2015), as well as best dissertation awards (Prof. Aart Bosman Dissertation Award, Accenture-PIM Marketing Science Dissertation Award). Her interdisciplinary research has been supported by multiple grants from the Dutch National Science Foundation (NWO) (on topics such as Algorithmic Society, Immersive Tech & AI) and leading multinational companies (e.g., VIVAT, AllSafe, Dutch Police).
Ting maintains close collaborations with industry partners. Her academic work introduces methods, models, and frameworks to help organizations address information challenges, build digital capabilities, and compete in fast-changing digital and AI landscapes. She has consulted and worked in various capacities with companies such as Shell, Coolblue, Wehkamp, VIVAT, AllSafe, China Southern Airlines, LLVision, Beike, KPMG, PwC, Accenture, Tweakers, Shop2Market, Dutch Railways, and RET. Ting brings her insights to senior executives, coaching them on challenges related to managing technology, innovation, AI, digital transformation, and entrepreneurship. She also serves as litigation expert (expert witness) in technology-related cases.
Her teaching expertise includes digital strategy, digital transformation, business analytics, competing in the age of AI. She teaches across various academic levels, including Bachelor, Master, Doctoral, MBA, Executive MBA, and Open/Customized Executive Education programs, across Europe, North America, and Asia. Before joining academia, Ting worked at General Electric and IBM in e-business in supply chains, web services, and grid computing. She obtained her Ph.D. in Management Science from Erasmus University and an MSc in Computational Science from the University of Amsterdam.
Find out more about her work on her RSM faculty page and Google Scholar.
For updates on her latest activities, follow her on LinkedIn.
Rotterdam School of Management, Erasmus University
- tli@rsm.nl
More information
Work
- Dimitrios Tsekouras, Ting Li & Jing Gong (2025) - Are You Still Interested in This Item? Field Evidence on the Effectiveness of Onsite Retargeting (under review) - [link]
- Tao Li, Rodrigo Crisostomo Pereira Belo & Ting Li (2025) - Could Reward Uncertainty Encourage Social Referral? Evidence from Field Experiments (under review) - [link]
- Zherui Yang, Aaron Zhi Cheng & Ting Li (2025) - Firm’s Consent Elicitation and Customer Segmentation under Privacy Regulations: Evidence from Field Experiments (under review) - [link]
- Aaron Cheng, Ting Li & Paul Pavlou (2025) - Information Transparency and Customer Churn: Evidence from the Insurance Industry (under review)
- Francesco Balocco, Yixin Lu, Ting Li & Alok Gupta (2025) - Lemon Ads: Adverse Selection in Multi-Channel Display Advertising Markets - Management Science - doi: 10.1287/mnsc.2022.03407 - [link]
- Ioannis Kanellopoulos, Dominik Gutt & Ting Li (2025) - NFT Disruption in Platform Competition: Evidence from Trading Card Collectibles (under review) - doi: 10.2139/ssrn.3918256 - [link]
- Ziming Wang, Philipp Cornelius & Ting Li (2025) - Platform Interoperability and Platform Federations - doi: 10.2139/ssrn.5104340
- Ning Wan, Yingjie Zhang & Ting Li (2025) - When AI Speaks, Do Humans Lose Listeners? Evidence from the Audiobook Industry (under review) - [link]
- Ting Li, David Lensen & Sameer Mehta (2024) - New framework for valuing datasets – the new type of business assets - [link]
- Dimitrios Tsekouras, Ting Li & Thomas Frick (2024) - Don’t Take it Personally: An Empirical Investigation of Consumer Responses to Explicit Targeting - Journal of the Association for Information Systems, 25 (3), 687-720 - doi: 10.17705/1jais.00848 - [link]
- Tamara Thuis, Ting Li & Eric van Heck (2023) - Who Takes Responsibility for AI? A Field Study on AI-Related Task Shifts, Explainability, and Responsibility Attributions - [link]
- Dominik Bar, Stefan Feuerriegel, Ting Li & Markus Weinmann (2023) - Message framing to promote solar panels - Nature Communications, 14 (14) - doi: 10.1038/s41467-023-42904-0 - [link]
- Atabak Mehrdar & Ting Li (2023) - Should price cannibalization be avoided or embraced? A multi-method investigation - Production and Operations Management, 32 (12), 3816-3836 - doi: 10.1111/poms.14063 - [link]
- Dominik Bar, Stefan Feuerriegel, Ting Li & Markus Weinmann (2023) - Behavioral interventions increase the adoption of green technologies
- Ting Li (30 November 2023) - Saving money is more important than the environment when it comes to solar panel sales
- Ting Li (29 November 2023) - Saving money is more important than the environment when it comes to solar panel sales
- Ting Li (8 February 2022) - How Much People Are Willing to Pay for Dating App
- Ting Li (2012) - MIS Quarterly: Management Information Systems (Journal) (Member of editorial board)
Activity: Editorial work › Academic - Ting Li (2010) - Information Systems Research (Journal) (Member of editorial board)
Activity: Editorial work › Academic - Ting Li (2008) - Journal of Management Information Systems (Journal) (Editor)
Activity: Editorial work › Academic
Kuanta
- Start date approval
- December 2024
- End date approval
- December 2027
- Place
- SINGAPORE
- Description
- Advisor
Information Systems Research (NLIS)
- Level
- PhD
- Year Level
- PhD
- Year
- 2024
- Course Code
- BERMASC051
Information Strategy
- Year Level
- master, IM/CEMS, Exchange, ERIM
- Year
- 2024
- Course Code
- BM01BIM