Profile
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 leads the Immersive Tech & AI Lab.
Ting Li is an expert in AI and digital strategy, human-AI collaboration, and platform economics. Her expertise also spans business analytics, e-commerce, digital advertising, privacy, and the economic and societal impact of emerging technologies, including AI, generative AI, augmented and virutal reality (AR/VR), and blockchain. She has held visiting professorships 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 one of the Top 40 Professors Under 40 Worldwide by Poets & Quants.
Ting's research focuses on understanding how digital technologies and AI transform consumer behavior, organizational decision-making, business performance, and society. Her recent work examines how organizations create value from AI, how humans and AI collaborate in judgement and decision-making, and how AI-enabled technologies can improve producitivity, learning, communication, and social inclusion. She is particularly interested in identifying when and how AI complements human capabilities, how firms develop organizational capabilities to capture value from AI, and how technology design shapes individual and organizational outcomes. Her research combines economic and behavioral perspectives with rigorous empirical methods, including econometric analysis, large-scale randomized field experiments, laboratory experiments, surveys, eye-tracking, agent-based simulation, and advanced machine learning techniques.
Her research has been published in leading scientific journals, including Management Science, MIS Quarterly, Information Systems Research, Nature Communications, Production and Operations Management, Harvard Business Reviews. Her research has received numerous awards and recognitions, most recently the 2025 Association for Information Systems (AIS) Impact Award. Her earlier discinctions include best paper awards and nominations, including European Research Paper of the Year, and the Prof. Aart Bosman Dissertation Award and Accenture-PIM Marketing Science Dissertation Award.
Ting has secured and participated in major interdisciplinary research grants and industry-funded projects. She is a co-applicant of the Dutch National Science Foundation (NWO) Gravitation programme ALGOSOC (Algorithmic Society), which investigates the societal implications of algorithms and AI, and a co-lead of the Convergence Immersive Tech & AI Lab, bringing together researchers from Erasmus University Rotterdam and TU Delft to investigate AI-enhanced immersive technologies and their applications in business and society. Her research has also received substantial support from industry partners, including VIVAT, AllSafe, and Dutch Police, for projects examining digital transformation, AI, and emerging technologies in real-world organizational settings.
Ting maintains close collaborations with industry partners, translating scientific insights into practical approaches to digital innovation and AI-driven transformation. She advices organizations and senior executives on AI strategy, adoption and scaling of generative AI, human-AI collaboration, digital transformation, and the development of organizational capabilities to create business value for emerging technologies. Her work helps organizations evaluate AI investments, redesign decision processes, improve operational and straetgic performance, and navigate the organizational challenges associated with AI adoption. She has consulted and collaborated with organizations such as Shell, KPMG, PwC, Accenture, Coolblue, Wehkamp, VIVAT, AllSafe, China Southern Airlines, LLVision, Kuanta, Beike, Dutch Railways, and the Dutch Police, among others. She also serves as expert witness in technology-related litigation.
Ting is an experienced educator in digital and AI strategy, AI-driven transformation, business analytics, digital platforms, and technology-enabled innovation. She teaches across Bachelor, Master, PhD, MBA, Executive MBA, and Open and Customized Executive Education programs, across Europe, North America, and Asia. She regularly works with executives and leadership teams to understand the strategic opportunities and challenges of AI, explore how AI changes competitive advantages and organizational decision-making, and translate technological developments into actionable business strategies.
Before joining academia, Ting worked at General Electric and IBM in e-business in supply chains, web services, and grid computing. She obtained her PhD in Management Science from Erasmus University and an MSc in Computational Science from the University of Amsterdam.
Find out more about her research and activities on her RSM faculty page and Google Scholar.
For updates on her latest activities, follow her on LinkedIn.
Publications
Article (29)
Academic (26)
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Cheng, A., Li, T., & Pavlou, P. (2026). Information Transparency, Choice Confidence, and Customer Retention: Field and Laboratory Evidence from Markets for Credence Goods. Management Science. Advance online publication. https://doi.org/10.1287/mnsc.2020.02865, https://doi.org/10.2139/ssrn.5692842
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Kanellopoulos, I., Gutt, D., & Li, T. (2026). NFT Disruption in Platform Competition: Evidence from Trading Card Collectibles. Information Systems Research, 37(3), 1596-1620. https://doi.org/10.1287/isre.2024.0829
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Kanellopoulos, I. F., Gutt, D., & Li, T. (2026). NFT Disruption in Platform Competition: Evidence from Trading Card Collectibles. Information Systems Research, 37(3), 1596-1620. https://doi.org/10.1287/isre.2024.0829
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Li, A., Crisostomo Pereira Belo, R., & Li, T. (2026). Can Reward Uncertainty Encourage Social Referrals? Evidence from a Large-scale Field Experiment. Management Science. Advance online publication. https://doi.org/10.2139/ssrn.5825502, https://doi.org/10.1287/mnsc.2024.05685
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Zhu, R., Yi, C., & Li, T. (2025). Augmented Reality at Work: Attention Management and Its Impact on Work Performance. MIS Quarterly: Management Information Systems, 49(3), 983-1016. https://doi.org/10.25300/MISQ/2025/18944
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Balocco, F., Lu, Y., Li, T., & Gupta, A. (2025). Lemon Ads: Adverse Selection in Multi-Channel Display Advertising Markets. Management Science. https://doi.org/10.1287/mnsc.2022.03407
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Tsekouras, D., Li, T., & Frick, T. (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. Article 4. https://doi.org/10.17705/1jais.00848
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Mehrdar, A., & Li, T. (2023). Should price cannibalization be avoided or embraced? A multi-method investigation. Production and Operations Management, 32(12), 3816-3836. https://doi.org/10.1111/poms.14063
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Bar, D., Feuerriegel, S., Li, T., & Weinmann, M. (2023). Message framing to promote solar panels. Nature Communications, 14(14), Article 7187. https://doi.org/10.1038/s41467-023-42904-0
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Belo, R., & Li, T. (2022). Social Referral Programs for Freemium Platforms. Management Science, 68(12), 8933-8962. https://doi.org/10.1287/mnsc.2022.4301
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Li, T., Wang, J., & Wu, F. (2022). How One Airline Is Using AR to Improve Operations. Harvard Business Review. https://hbr.org/2022/04/how-one-airline-is-using-ar-to-improve-operations?ab=hero-subleft-3
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Li, T., & Crisostomo Pereira Belo, R. (2022). To Make a Profit, Dating Apps Must Leverage Data Differently. Harvard Business Review. https://hbr.org/2022/01/to-make-a-profit-dating-apps-must-leverage-data-differently
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Tsekouras, D., Li, T., & Benbasat, I. (2022). Scratch my back and I'll scratch yours: The impact of user effort and recommendation agent effort on perceived recommendation agent quality. Information and Management, 59(1), Article 103571. https://doi.org/10.1016/j.im.2021.103571
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Li, T., Dalen, J., & Rees, PJ. (2018). More than just noise? Examining the Information Content of Stock Microblogs on Financial Markets. Journal of Information Technology, 33(1), 50-69. https://doi.org/10.1057/s41265-016-0034-2
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Yang, S., Li, T., & van Heck, E. (2015). Information Transparency in Prediction Markets. Decision Support Systems, 78, 67-79. https://doi.org/10.1016/j.dss.2015.05.009
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Li, T., Berens, G., & de Maertelaere, M. (2014). Corporate Twitter Channels: The Impact of Engagement and Informedness on Corporate Reputation. International Journal of Electronic Commerce, 18(2), 97-125. https://doi.org/10.2753/JEC1086-4415180204
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Li, T., & Slee, T. (2014). The Effects of Information Privacy Concerns on Digitizing Personal Health Records. Journal of the American Society for Information Science and Technology, 65(8), 1541-1554. https://doi.org/10.1002/asi.23068
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Karl, L., & Li, T. (2014). Introduction to the Special Issue: Business Value Co-Creation Enabled by Social Technologies. International Journal of Electronic Commerce, 18(2), 5-10. https://doi.org/10.2753/JEC1086-4415180200
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Li, T., Kauffman, RJ., van Heck, E., Vervest, P., & Dellaert, B. (2014). Consumer Informedness and Firm Information Strategy. Information Systems Research, 25(2), 345-363. https://doi.org/10.1287/isre.2014.0521
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Li, T., & Unger, T. (2013). Willing to Pay for Quality Personalization? Trade-off Between Quality and Privacy. European Journal of Information Systems, 21(6), 621-642. https://doi.org/10.1057/ejis.2012.13
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Lovric, M., Li, T., & Vervest, P. (2013). Sustainable Revenue Management: An Agent-Based Modeling Approach. Decision Support Systems, 54(4), 1587-1601. https://doi.org/10.1016/j.dss.2012.05.061
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Eberle, D., Berens, G., & Li, T. (2013). The impact of interactive corporate social responsibility communication on corporate reputation. Journal of Business Ethics, 118(4), 731-746. https://doi.org/10.1007/s10551-013-1957-y
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Li, T., & Meshkova, Z. (2013). Examining the impact of rich media on consumer willingness to pay in online stores. Electronic Commerce Research and Applications, 12(6), 449-461. https://doi.org/10.1016/j.elerap.2013.07.001
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Li, T., & Kauffman, R. (2012). Adaptive Learning in Service Operation. Decision Support Systems, 53(2), 306-319. https://doi.org/10.1016/j.dss.2012.01.011
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Kauffman, RJ., Li, T., & van Heck, E. (2010). Business Network-Based Value Creation in Electronic Commerce. International Journal of Electronic Commerce, 15(1), 113-143. https://doi.org/10.2753/JEC1086-4415150105
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Li, T., van Heck, E., & Vervest, P. (2009). Information Capability and Value Creation Strategy: Advancing Revenue Management Through Mobile Ticketing Technologies. European Journal of Information Systems, 18(1), 38-51. https://doi.org/10.1057/ejis.2009.1
Professional (3)
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Li, T., Kauffman, RJ., van Heck, E., Vervest, P., & Dellaert, B. (2014). Using comsumer informedness as an information strategy. RSM Discovery - Management Knowledge, 20(4), 10-11. http://hdl.handle.net/1765/77375
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Li, T., Vervest, P., & Lovric, M. (2012). Sustainable revenue management. RSM Insight, 11(3), 8-9. http://hdl.handle.net/1765/39952
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Li, T., & Unger, T. (2012). Quality online personalisation. RSM Insight, 10(2), 12-13. http://hdl.handle.net/1765/39949
Book (1)
Academic (1)
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Li, T., Lovric, M., & Vervest, P. (2013). Understanding Complexity in Public Transportation. Haveka.
Book editing (1)
Professional (1)
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Kroon, LG., Li, T., & Zuidwijk, R. (2010). Liber Amicorum in Memory of Jo van Nunen. Dinalog.
Chapter (3)
Academic (3)
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Wang, Z., Cornelius, P., & Li, T. (Accepted/In press). Platform Interoperability and Platform Federations. In D. Sokol, A. Dukes, T. Sun, & F. Zhu (Eds.), Cambridge Handbook on Digital Platforms Cambridge University Press. https://doi.org/10.2139/ssrn.5104340
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Li, T., van Heck, E., & Vervest, P. (2006). Customer-Centric Business Networks: Case of the Evolutionary Network of Octopus. In P. Vervest, E. van Heck, & K. Preiss (Eds.), Smart Business Network: A New Business Paradigm Springer-Verlag.
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Li, T., van Heck, E., & Vervest, P. (2006). Dynamic Pricing Strategies for Yield Improvement with Smart Card Adoption in Dutch Travel Industry. In M. Hitz, M. Sigala, & J. Murphy (Eds.), Information and Communication Technologies in Tourism Springer-Verlag.
Conference article (2)
Academic (2)
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Bouman, P., Kroon, L., Li, T., & Vervest, P. (2013). Detecting activity patterns from smart card data. Belgian/Netherlands Artificial Intelligence Conference, 9-16.
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Bouman, P., Lovric, M., Li, T., Kroon, L., & Vervest, P. (2012). Recognizing demand patterns from smart card data for agent-based micro-simulation of public transport. Belgian/Netherlands Artificial Intelligence Conference.
Conference contribution (5)
Academic (5)
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Mehrdar, A., & Li, T. (2020). An Optimal Pricing Strategy with Cannibalization. Statistical Challenges in Electronic Commerce Research, Madrid, Spain.
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Frick, T., Li, T., & Pavlou, P. (2016). Investigating The Impact Of Social Influence On The Personalization-Privacy Paradox: An Eye Tracking Study. INFORMS 2016, Nashville.
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Frick, T., & Li, T. (2015). Social Retargeting – A Randomized Field Experiment. 37th ISMS Marketing Science Conference.
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Frick, T., & Li, T. (2015). Understanding Information Privacy Concerns in Social Advertising: An Eye Tracking Study. 37th ISMS Marketing Science Conference.
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Kauffman, R. J., Li, T., Van Heck, E., & Vervest, P. (2008). Integrating service attribute bundle designs and capacity management using a customer-centric approach. 212-217. 2008 Workshop on Information Technologies and Systems, WITS 2008, Paris, France.
Conference proceeding (33)
Academic (33)
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Thuis, T., Li, T., & van Heck, E. (2023). Who Takes Responsibility for AI? A Field Study on AI-Related Task Shifts, Explainability, and Responsibility Attributions. In International Conference on Information Systems, ICIS 2023: "Rising like a Phoenix: Emerging from the Pandemic and Reshaping Human Endeavors with Digital Technologies" Association for Information Systems.
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Han, X., Li, T., Xu, S. X., Yang, Z., Yin, Z., & Zhang, K. (2023). IoT and Wearable Devices-Enhanced Information Provision of AR Glasses: A Multi-Modal Analysis in Aviation Industry. In International Conference on Information Systems, ICIS 2023: "Rising like a Phoenix: Emerging from the Pandemic and Reshaping Human Endeavors with Digital Technologies" Association for Information Systems.
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Mehrdar, A., & Li, T. (2020). An Optimal Pricing Strategy with Cannibalization. In Annual Meeting of the Academy of Management https://doi.org/10.5465/AMBPP.2020.21205abstract
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Yang, Z., & Li, T. (2020). Life-Event Targeting and Customer Uncertainty – Evidence from Field and Online Experiments. In Proceedings of the 19th Workshop on e-Business (WEB-2020)
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Balocco, F., & Li, T. (2019). LemonAds: Impression quality in programmatic advertising. In 40th International Conference on Information Systems, ICIS 2019 Article 2905 Association for Information Systems. https://aisel.aisnet.org/icis2019/general_topics/general_topics/19/?utm_source=aisel.aisnet.org%2Ficis2019%2Fgeneral_topics%2Fgeneral_topics%2F19&utm_medium=PDF&utm_campaign=PDFCoverPages
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Yang, Z., Cheng, Z., & Li, T. (2019). Still targeting younger customers? A field experiment on digital communication channel migration. In 40th International Conference on Information Systems, ICIS 2019 Article 2822 Association for Information Systems. https://aisel.aisnet.org/icis2019/business_models/business_models/13/
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Li, T., Tsekouras, D., & Cheng, Z. (2019). Free Shipping Promotions: Leveraging Scarcity and Popularity Information. In Annual Meeting of the Academy of Management https://doi.org/10.5465/AMBPP.2019.15487abstract
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Li, T., Tsekouras, D., & Cheng, Z. (2018). Free Shipping Promotions: Leveraging Scarcity and Popularity Information. In Proceedings of the International Conference on Information Systems
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Andrews, M., Li, T., & Balocco, F. (2018). The Effect of Mobile Search Ads across Devices: A Geo Experiment. In Proceedings of the International Conference on Information Systems
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Cheng, Z., Li, T., & Pavlou, P. (2016). Acquisition Channels and Customer Churn: Evidence from the Auto Insurance Industry. In Proceedings of the International Conference on Information Systems - Digital Innovation at the Crossroads
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Frick, T., & Li, T. (2016). Social Retargeting: A Field Experiment. In Proceedings of the Statistical Challenge in eCommerce Research Symposium
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Frick, T., & Li, T. (2016). Social Retargeting: A Field Experiment. In The Economics of Information and Communication Technologies, ZEW Conference Centre for European Economics Research.
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Frick, T., & Li, T. (2016). Personalization in Social Retargeting – A Field Experiment. In Thirty Seventh International Conference on Information Systems, Dublin 2016 Association for Information Systems (AIS).
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Tsekouras, D., Frick, T., & Li, T. (2016). Don’t Take It Personally: The Effect of Explicit Targeting in Advertising Personalization. In The 2016 International Conference on Information Systems, ICIS 2016 (December 2016), Dublin (pp. 10). Association for Information Systems (AIS). http://hdl.handle.net/1765/100010
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Li, T., & Tsekouras, D. (2015). Effort Reciprocity on Perceived Recommendation Agent Quality: An Experimental Study. In Proceedings of the European Conference on Information Systems
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Li, T., & Tsekouras, D. (2015). Free Shipping 3.0: Leveraging Scarcity and Popularity Information – A Randomized Field Experiment. In Conference on Information Systems and Technology
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Frick, T., Tsekouras, D., & Li, T. (2014). The Times They Are A-Changin:Examining the Impact of Social Media on Music Album Performance. In -
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Bouman, P., Lovric, M., Li, T., Hurk, E., Kroon, LG., & Vervest, P. (2012). Recognizing Demand Patterns from Smart Card Data for Agent-Based Micro-simulation of Public Transport. In M. Vasirani, E. Camponogara, H. Hiromitsu, & F. Klügl (Eds.), Proceedings of the 7th Workshop on Agents in Traffic and Transportation
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Li, T., & Soonius, G. (2012). Is Your Social Media Strategy Effective? An Empirical Study of the Factors Influencing the Success of Facebook Campaigns. In Proceedings of the Workshop on Electronic Business
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Li, T., & Tsekouras, D. (2012). More Effort to Personalize? Examining Perceived Effort as a Signal for Quality. In Proceedings of the International Conference on Electronic Commerce
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Li, T., Berens, G., & de Maertelaere, M. (2012). Social Influence: The Effect of Twitter Information on Corporate Image. In Proceedings of the International Conference on Electronic Commerce
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Li, T., Lovric, M., & Vervest, P. (2011). Agent-Based Modeling Approach to Revenue Management in Public Transportation. In Organizations and Society in Information Systems OASIS.
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Kauffman, R., Li, T., & van Heck, E. (2010). A Theory of Informedness and Business Network Co-Production. In R. Sprague (Ed.), Proceedings of the 43th Hawaii International Conference on Systems Science IEEE Computer Society.
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Kauffman, R., Li, T., van Heck, E., & Vervest, P. (2009). Consumer Informedness and Resonance Marketing: An Empirical Test of The Hyperdifferentiation Hypothesis. In R. Sprague (Ed.), Proceedings of the 42th Hawaii International Conference on Systems Science IEEE Computer Society.
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Kauffman, R. J., Li, T., Van Heck, E., & Vervest, P. (2009). Consumer informedness and hyperdifferentiation: An empirical test of the 'trading down' and 'trading out' hypotheses. In Proceedings of the 42nd Annual Hawaii International Conference on System Sciences, HICSS Article 4755684 https://doi.org/10.1109/HICSS.2009.130
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Kauffman, R., Li, T., van Heck, E., & Vervest, P. (2008). Consumer Informedness and Information Technology: An Empirical Study of Heterogeneous Consumer Choice. In Twentieth Workshop on Information Systems and Economics
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Kauffman, R., Li, T., van Heck, E., & Vervest, P. (2008). A Multi-Method Approach to Integrate and Joint Optimize Service Attribute Bundles and Capacity Management. In Proceedings of the Eighteenth Annual Workshop on Information Technologies and Systems
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Li, T., van Heck, E., & Vervest, P. (2008). Use and Impact of Mobile Ticketing Technologies for Revenue Management. In Academy of Management Meeting
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Li, T., van Heck, E., & Fleischmann, M. (2007). Understanding Dynamic Pricing in Public Transport: The Role of Smart Card Technology Adoption. In Academy of Management Meeting
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Li, T., van Heck, E., & Vervest, P. (2007). Study of Network Structural Properties of Complex Dutch Railway Transportation Network. In Transportation Research Board 86th Annual Meeting
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Li, T., van Heck, E., Vervest, P., Voskuilen, J., Hofker, F., & Jansma, F. (2006). Passenger Travel Behavior Model in Railway Network Simulation. In Proceedings of the 38th Conference on Winter Simulation IEEE.
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Li, T., Hofker, F., van Heck, E., & Vervest, P. (2006). Do Customers Respond to Differentiated Pricing in Public Transport? -- An Analysis of Behavioral Response Using Stated Preference Experiment. In Proceeding of the TRAIL Research Congress 2006
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Li, T., Vervest, P., van Heck, E., & Rooijmans, P. (2006). Improve Yield in Public Transport: A Focus on ICT Capability. In Proceeding of the IEEE International Conference on Service Operations and Logistics, and Informatics (pp. 516-521). Article 1700920 IEEE. https://doi.org/10.1109/SOLI.2006.328940
Doctoral Thesis (1)
Internal (1)
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Li, T. (2009). Informedness and Customer-Centric Revenue Management. [Doctoral Thesis, Erasmus University Rotterdam]. Erasmus University Rotterdam (EUR).
Inaugural speech (1)
Popular (1)
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Li, T. (2018). Digital Traces: Personalization and Privacy. Erasmus Research Institute of Management (ERIM). ERIM Inaugural Address Series Research in Management http://hdl.handle.net/1765/108848
Other contribution (1)
Professional (1)
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Li, T., Lensen, D., & Mehta, S. (2024, Jan 9). New framework for valuing datasets – the new type of business assets. RSM Discovery. https://www.rsm.nl/discovery/2024/new-framework-for-valuing-datasets/
Preprint (2)
Academic (2)
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Li, T., Crisostomo Pereira Belo, R., & Li, T. (2025). Could Reward Uncertainty Encourage Social Referral? Evidence from Field Experiments. INFORMS. https://rodrigobelo.com/assets/pdf/reward-uncertainty.pdf
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Tsekouras, D., Li, T., & Frick, T. (2023). Don’t Take it Personally: An Empirical Investigation of Consumer Responses to Explicit Targeting. Journal of the Association for Information Systems.
Teaching case (5)
Academic (5)
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Li, T., Sun, J., & He, J., (2025). Lingban: AI Content Generation in the Audio Industry (Harvard Business Publishing), No. TU0192-PDF-ENG https://hbsp.harvard.edu/product/TU0192-PDF-ENG
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Li, T., Yi, C., & Cui, C., (2023). Ke Holdings Inc. Redefining Residential Services through Digitalization (The Case Center / HBR) https://store.hbr.org/product/ke-holdings-inc-redefining-residential-services-through-digitization/TU0159
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Li, T., & Li, C., (2023). Flying into the Metaverse: China Southern Airlines’ Digital Transformation Journey, No. 923-0011-1, 18 p., RSM Case Development Centre No. 923-0011-1 https://www.thecasecentre.org/products/view?id=191480
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Li, T., Yi, C., & Cui, C., (2023). RealSee: Navigating the Digital Transformation of Real Estate and Beyond, No. 923-0024-1, 17 p., RSM Case Development Centre No. 923-0024-1 https://www.thecasecentre.org/products/view?id=193778
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Li, T., & Cai, L., (2021). Kwai: A Story of Innovation Within an Online Content Community (Harvard Business Publishing), No. RSM092, 19 p., RSM Case Development Centre https://hbsp.harvard.edu/product/RSM092-PDF-ENG?Ntt=kwai
Working paper (14)
Academic (14)
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Kanellopoulos, I., Gutt, D., & Li, T. (2025). NFT Disruption in Platform Competition: Evidence from Trading Card Collectibles. SSRN. https://doi.org/10.2139/ssrn.3918256
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Cheng, A., Li, T., & Pavlou, P. (2025). Information Transparency and Customer Churn: Evidence from the Insurance Industry (under review).
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Tsekouras, D., Li, T., & Gong, J. (2025). Are You Still Interested in This Item? Field Evidence on the Effectiveness of Onsite Retargeting (under review). https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3907869
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Yang, Z., Cheng, A. Z., & Li, T. (2025). Firm’s Consent Elicitation and Customer Segmentation under Privacy Regulations: Evidence from Field Experiments (under review). https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3966138
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Guo, Y., & Li, T. (2025). Algorithm Aversion in Green Consumption (under review).
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Wang, H., Yi, C., & Li, T. (2025). Virtual Reality Co-Browsing: Transforming the Home-Buying Journey through Enhanced Information Search (under review).
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Wan, N., Zhang, Y., & Li, T. (2025). When AI Speaks, Do Humans Lose Listeners? Evidence from the Audiobook Industry (under review). https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5062901
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Bar, D., Feuerriegel, S., Li, T., & Weinmann, M. (2023). Behavioral interventions increase the adoption of green technologies.
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Kanellopoulos, I., Gutt, D., Tunc, M., & Li, T. (2023). How Do Platform Subsidies Affect Creation, Engagement, and Pricing? Evidence from Non-Fungible Tokens. https://doi.org/10.2139/ssrn.4335127
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Zhu, R., Yi, C., & Li, T. (2023). Harnessing the Metaverse: An Empirical Investigation of the Effects of Multimodal AR Interaction on Information Search and Learning in Aircraft Maintenance Training (under review).
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Yi, C., Zhu, R., & Li, T. (2023). Where to Display What? Investigating the Effects of Augmented Reality and Information Type on Work Performance.
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Mehrdar, A., & Li, T. (2022). Should Price Cannibalization be Avoided or Embraced? An Empirical Investigation of an Optimal Pricing Strategy with Price Overlap. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3908037
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Balocco, F., Yixin, L., Li, T., & Gupta, A. (2022). LemonAds: Impression Quality in Programmatic Advertising.
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Li, T., Tsekouras, D., & Cheng, Z. (2021). Free Shipping Promotions: Leveraging Scarcity and Popularity Information.
Activities
Additional positions (1)
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KuantaStart date approval: 06 Dec 2024End date approval: 05 Dec 2027Place: SINGAPOREDescription: Advisor
Additional activities (3)
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MIS Quarterly: Management Information Systems (Journal)Ting Li (Member of editorial board)01 Jan 2012
Activity: Editorial work (Academic)
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Information Systems Research (Journal)Ting Li (Member of editorial board)01 Jan 2010
Activity: Editorial work (Academic)
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Journal of Management Information Systems (Journal)Ting Li (Editor)01 Jan 2008
Activity: Editorial work (Academic)
Courses
Information Strategy
- Study year: 2026/2027, 2025/2026
- Code: BM01BIM
Information Systems Research (NLIS)
- Study year: 2026/2027, 2025/2026
- Code: BERMASC051
Past courses
AI for Business
- Study year: 2025/2026
- Code: BT3T2101
Future Technologies in Business
- Study year: 2025/2026
- Code: EMBA26-M3-FTB
GEL: Leading Digital Transformation
- Study year: 2025/2026
- Code: GEMBA26-M1-GEL
Leading Digital Transformation
- Study year: 2025/2026
- Code: GEMBA27-M1-GEL
Information Systems Research (NLIS)
- Study year: 2023/2024
- Code: BERMASC050
Featured in the media
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Welcome to my wardrobe - with thousands of Shein products
Ting Li is interviewed in this article about fast fashion, dropshippers, and the Vinted platform.
Tuesday, 13 January 2026 -
Recap seminar Navigating the Future: AI’s Impact on Working in the Maritime Sector
Prof. Ting Li's presentation opened this seminar that explored the transformative potential of Artificial Intelligence (AI) within the maritime sector. The report gives a summary and strategies. …
Thursday, 18 July 2024 -
Saving money more important than environment when it comes to solar panel sales
Emphasizing Financial Gains Spurs Homeowner Commitment
Wednesday, 29 November 2023 -
Message framing to promote solar panels
Effective Message Framing Spurs Significant Customer Commitment to Solar Panel Adoption
Wednesday, 8 November 2023 -
RightBrains zoekt digitale talent van 2022
Ting Li is in the professional jury of the Digital Talent Award 2022 competition by Right Brains.
Tuesday, 12 July 2022 -
THE DATING GAME
Ting Li and Rodrigo Belo conducted research on dating app platforms and its referral programs.
Saturday, 5 March 2022 -
How Much People Are Willing to Pay for Dating App?
Dr. Rodrigo Belo, Associate Professor at the Department of Technology and Operations Management, and Professor Ting Li, Professor of digital Business developed a model with various users who different in how much they value the…
Tuesday, 8 February 2022 -
‘Welke klantproblemen of frustraties ga jij aanpakken als je digitaal transformeert?’
Article about the role of digital transformation of businesses in every sector. Ting Li is Professor of Digital Business at RSM, Erasmus University and founding member and the Academic Director of Digital Business Practice of…
Thursday, 1 October 2020 -
DIGITAL FINANCE IS AS IMPORTANT AS EVER DURING COVID-19
Ting Li of RSM has commented on the topic of digital finance during the Covid-19 crisis.
Tuesday, 17 March 2020 -
WAAROM DE ENE WEBWINKEL DUURDER IS DAN DE ANDER
An article that discusses price distribution, explained by Ting Li, Endowed Professor of Digital Business at RSM. She explains how and why there can be such a large differences in prices between products between different…
Sunday, 22 July 2018 -
Dutch academic says Twitter can help you trade smarter
Ting Li, Professor of Digital Business at RSM reckons social media can boost your trading success.
Wednesday, 7 February 2018 -
New algorithm uses twitter to predict the stock market researchers develop a way for traders to use twitter to make better investment decisions
New research by Ting Li and Jan van Dalen of RSM has found that information taken from Twitter posts could be used to predict the stock market – and help traders to make better investment decisions. “This study shows the potential…
Thursday, 25 January 2018 -
荷兰推出最新研究成果，利用推特预测股价变动
Ting Li and Jan van Dalen of RSM analysed more than a million tweets that involved stocks listed on the S&P 100 index and developed an algorithm to scan stock tweets and predict price changes.
Wednesday, 24 January 2018 -
Researchers develop algo that uses Twitter to predict the stock market
Ting Li and Jan van Dalen of RSM have developed an algorithm that scans tweets about stocks, successfully predicting price fluctuations. "This could be used by institutional investors or home-based day traders, and proves that…
Wednesday, 24 January 2018 -
Can traders rely on Twitter for investment decisions?
Ting Li and Jan van Dalen of RSM have found a way for traders to use Twitter to make better investment decisions. Over a million twitter messages that mentioned stocks listed on the S&P 100 share index were analysed. Li comments…
Wednesday, 24 January 2018 -
Can Twitter predict the stock market? These researchers think so
Analysis of more than one million Twitter posts by Ting Li and Jan van Dalen of RSM found that they could predict stock market movements and help traders make better decisions on investments. "This study shows the potential value…
Wednesday, 24 January 2018 -
Can Twitter predict the stock market? These researchers think so
Analysis of more than one million Twitter posts by Ting Li and Jan van Dalen of RSM found that they could predict stock market movements and help traders make decisions on investments. “This study shows the potential value of…
Wednesday, 24 January 2018 -
Can Twitter tell you how to invest?
Ting Li, Professor of Digital Business and Jan van Dalen, Associate Professor of Statistics at RSM recently analysed over a million Twitter messages that mentioned stocks listed on the S&P 100 share index. They then developed an…
Wednesday, 24 January 2018 -
New Algorithm Uses Twitter to Predict the Stock Market
Ting Li and Jan van Dalen of RSM have analysed over a million Twitter messages that mentioned stocks listed on the S&P 100 share index. The researchers then developed an algorithm that looked at the sentiment of the tweets and…
Tuesday, 23 January 2018 -
Erasmus Universiteit voorspelt aandelenkoersen met big data-analyse van tweets
Research by Prof Ting Li, Dr Jan van Dalen and alumnus Pieter Jan van Rees of RSM shows that a big data analysis of tweets can be used to predict developments in the stock market in the short and long term. This discovery can help…
Monday, 1 January 2018 -
Aandelenkoersen zijn te voorspellen met big data-analyse van tweets
Noteworthy financial events end up on Twitter, but conversely, financial tweets can also have an influence on developments in finance. Research by Ting Li and Jan van Dalen of RSM shows that big data analyses of tweets can be used…
Friday, 29 December 2017 -
'Twitterberichten goede voorspeller beurskoers'
It is possible to make better investment decisions based on big data analyses of Twitter messages, say researchers Ting Li and Jan van Dalen of RSM in their new study.
Friday, 22 December 2017 -
Twitterdata nuttig bij voorspellen aandelenkoersen
Noteworthy financial events end up on Twitter, but conversely, financial tweets can also have an influence on developments in finance. Research by Ting Li and Jan van Dalen of RSM shows that big data analyses of tweets can be used…
Wednesday, 20 December 2017 -
Verdienen op de beurs? 'Kijk naar berichten op Twitter'
If you want to earn money by investing, it also makes sense to pay attention to what appears on social media. Ting Li and Dr Jan van Dalen of RSM shows that a big data analysis of tweets can be used to predict developments in the…
Wednesday, 20 December 2017 -
RSM: Aandelenkoersen voorspellen met big data-analyse van tweets
Do tweets about the stock market contain valuable information for investors, or can they be ignored as noise produced by self-proclaimed financial gurus? A study by Professor Ting Li and Dr Jan van Dalen of RSM shows that a big…
Tuesday, 19 December 2017 -
Predict stock prices with big data analysis of tweets
Do tweets about the stock market contain valuable information for investors, or can they be ignored as noise produced by self-proclaimed financial gurus? A study by Ting Li and Jan van Dalen of RSM shows that a big data analysis…
Tuesday, 19 December 2017 -
Must read: 13% koerswinst China in 2018
A study by Professor Ting Li and Dr Jan van Dalen of RSM shows that a big data analysis of tweets can be used to predict developments in the stock market in the short and long term. This discovery can help investors make better…
Tuesday, 19 December 2017 -
Aandelenkoersen voorspellen met big data-analyse van tweets
A new study by Ting Li and Jan van Dalen of RSM shows that a big data analysis of tweets can be used to predict developments in the stock market in the short and long term. This discovery can help investors make better decisions. …
Tuesday, 19 December 2017 -
Profs: Most Admired Companies
Ting Li, an associate professor of information systems at the Rotterdam School of Management at Erasmus University, Uber differentiates itself through its unrivaled micro franchising model. “It’s disrupting the taxi and…
Saturday, 13 May 2017 -
RSM en VIVAT gaan samenwerking aan in ‘digital business’
VIVAT and Rotterdam School of Management, Erasmus University (RSM) today signed a long-term cooperation agreement for joint research, education and recruitment in the field of digital business. Within this agreement, a promotion…
Thursday, 20 April 2017 -
Universiteit en verzekeraar samen in big data en innovatie
VIVAT and Rotterdam School of Management, Erasmus University (RSM) today signed a long-term cooperation agreement for joint research, education and recruitment in the field of digital business. Within this agreement, a promotion…
Thursday, 20 April 2017 -
2017 Best 40 Under 40 Professors: Ting Li, Rotterdam School of Management
Ting Li, associate Professor in Information Systems, if you had to describe Li in one word, you’d probably choose “pioneer.” After working for IBM and General Electric, Li followed her heart to academia, earning a Ph.D. from the…
Sunday, 26 March 2017
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