Profile
Ting Li is the Professor of Digital Business at Rotterdam School of Management (RSM), Erasmus University, and leads the Information Systems group. She is the founding member and the Academic Director of Digital Business Practice of the Erasmus Centre for Data Science and Business Analytics. Ting Li is an expert in Digital Strategy, Ecommerce, Social Media Analytics, Mobile Marketing, Business Analytics, Online Advertising, and Pricing and Revenue Management. She has been a Visiting Professor at the Wharton School of Business, Temple University, Arizona State University, City University of Hong Kong, and Tsinghua University. In 2017, she was named by Poets & Quants as one of the Top 40 Professors Under 40 Worldwide.
Ting Li's research interest focuses on the understanding of the strategic use of information and its economic impacts on consumer behavior and firm strategy. Theoretically, she proposes new theoretical perspectives to understand why and how firms develop digital capabilities to improve their business capability, and how new information (technologies) impact consumer behavior and decision making. Methodologically, she applies inter-disciplinary approaches combining large-scale randomized field experiments, lab experiment, survey, eye-tracking, agent-based simulation, and machine learning techniques such as text mining and sentiment analysis to investigate the impact of IT on individuals, organizations, markets, and networks. Her work has been published in leading scientific journals, including Management Science, Information Systems Research, Nature Communications, Harvard Business Reviews, Journal of Information Technology, Decision Support Systems, and many others. Her research has been recognized with best paper awards and nominations (European Research Paper of the Year 2015), and best dissertation awards (Prof. Aart Bosman Dissertation Award, Accenture-PIM Marketing Science Dissertation Award). Her interdisciplinary research has been sponsored by multiple grants from the Dutch National Science Foundation (NWO) and multinational companies.
Ting Li develops close collaborations with industry partners. Her academic work introduces methods, models, and principles to guide organizations to manage informational challenges, build capabilities and compete in digital environments. She has consulted and worked in various capacities with Shell, Coolblue, Wehkamp, VIVAT, HelloPrint, KPMG, PwC, Accenture, Tweakers, Shop2Market, Dutch Railways, RET, amongst others. Ting’s teaching expertise is in the areas of digital strategy, digital transformation, digital commerce, social and mobile analytics, and social networks. She teaches in various RSM Bachelor, Master, and MBA/EMBA degree programs and is active in executive education programs. Prior to joining academic, Ting worked for General Electric and IBM in the area of e-business in supply chains, web services, and grid computing. She obtained her Ph.D. in Management Science at the Erasmus University and MSc in Computational Science at the University of Amsterdam. Her faculty page can be found at: http://www.rsm.nl/people/ting-li/. Follow her on Twitter at @tinglinl.
Publications
Article (24)
Academic (21)
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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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Balocco, F., Lu, Y., Li, T., & Gupta, A. (Accepted/In press). Lemon Ads: Adverse Selection in Multi-Channel Display Advertising Markets. Management Science. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4971366
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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 (2)
Academic (2)
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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 (32)
Academic (32)
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Mehrdar, A., & Li, T. (2020). An Optimal Pricing Strategy with Cannibalization. In Annual Meeting of the Academy of Management
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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
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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 -
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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 - 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 - (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 International Conference on Information Systems
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Tsekouras, D., & Li, T. (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
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
Preprint (1)
Academic (1)
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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 (3)
Academic (3)
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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, No. RSM092, 19 p., RSM Case Development Centre https://hbsp.harvard.edu/product/RSM092-PDF-ENG?Ntt=kwai
Working paper (11)
Academic (11)
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Bar, D., Feuerriegel, S., Li, T., & Weinmann, M. (2023). Behavioral interventions increase the adoption of green technologies (under review).
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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 (under review).
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Kanellopoulos, I., Gutt, D., & Li, T. (2022). Do Non-Fungible Tokens (NFTs) Affect Prices of Physical Products? Evidence from Trading Card Collectibles (under review). https://doi.org/10.2139/ssrn.3918256
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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 (under review). https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3908037
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Cheng, A., Li, T., & Pavlou, P. (2022). Information Transparency and Customer Churn: Evidence from the Insurance Industry (under review).
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Tsekouras, D., Li, T., & Gong, J. (2022). 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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Balocco, F., Yixin, L., Li, T., & Gupta, A. (2022). LemonAds: Impression Quality in Programmatic Advertising (under review).
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Yang, Z., Cheng, A. Z., & Li, T. (2022). Firm’s Consent Elicitation and Consumer Segmentation under Privacy Regulations: Strategies for Digital Laggards (under review). https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3966138
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Li, T., Tsekouras, D., & Cheng, Z. (2021). Free Shipping Promotions: Leveraging Scarcity and Popularity Information (under review).
Activities
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 Systems Research (NLIS)
- Study year: 2024/2025
- Code: BERMASC051
- Level: PhD
Information Strategy
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020, 2018/2019, 2017/2018, 2016/2017, 2015/2016
- Code: BM01BIM
- Level: ERIM, Exchange, IM/CEMS, Master
Business Architecture and Transformation
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020, 2018/2019
- Code: BM03BIM
- Level: ERIM, Exchange, IM/CEMS, Master
BIM Research Methods
- Study year: 2024/2025, 2023/2024, 2022/2023
- Code: BM06BIM
- Level: Master
BIM Master Thesis
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020, 2018/2019
- Code: BMMTBIM
- Level: Master
BIM Thesis Clinic
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022, 2020/2021
- Code: BMRM1BIM
- Level: Master
Past courses
Digital Business
- Study year: 2021/2022
- Code: B3102
- Level: Bachelor 3, Bachelor 3, Bachelor 3
BIM Research Methods I - Old style
- Study year: 2019/2020, 2018/2019
- Code: BM05BIM
- ECTS: 2
Competing in the Digital Age
- Study year: 2019/2020, 2018/2019
- Code: DBA0009
Next Generation Business Applications
- Study year: 2018/2019
- Code: BMME016
- ECTS: 6 Level: Master
BIM Honours Course
- Study year: 2017/2018, 2016/2017
- Code: BMHONBIM
- ECTS: 10 Level: Master
Driving digital and social strategy
- Study year: 2016/2017, 2015/2016
- Code: BKBMIN030
- ECTS: 15 Level: Bachelor, Bachelor 3, Bachelor 3
Featured in the media
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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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