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Ting Li is the Professor of Digital Business at Rotterdam School of Management (RSM), Erasmus University. 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, Journal of Information Technology, Decision Support Systems, European Journal of Information Systems, International Journal of Electronic Commerce, 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

Academic (20)
Professional (3)

Academic (1)
  • Li, T., Lovric, M., & Vervest, P. (2013). Understanding Complexity in Public Transportation. Haveka.

Professional (1)
  • Kroon, LG., Li, T., & Zuidwijk, R. (2010). Liber Amicorum in Memory of Jo van Nunen. Dinalog.

Academic (2)
  • 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.

  • 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.

Academic (2)
  • Bouman, P., Kroon, L., Li, T., & Vervest, P. (2013). Detecting activity patterns from smart card data. Belgian/Netherlands Artificial Intelligence Conference, 9-16.

  • 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.

Academic (5)
  • Mehrdar, A., & Li, T. (2020). An Optimal Pricing Strategy with Cannibalization. Statistical Challenges in Electronic Commerce Research, Madrid, Spain.

  • 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.

  • Frick, T., & Li, T. (2015). Social Retargeting – A Randomized Field Experiment. 37th ISMS Marketing Science Conference.

  • Frick, T., & Li, T. (2015). Understanding Information Privacy Concerns in Social Advertising: An Eye Tracking Study. 37th ISMS Marketing Science Conference.

  • 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.

Academic (32)
  • 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)

  • Mehrdar, A., & Li, T. (2020). An Optimal Pricing Strategy with Cannibalization. In Annual Meeting of the Academy of Management

  • 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

  • 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/

  • Li, T., Tsekouras, D., & Cheng, Z. (2019). Free Shipping Promotions: Leveraging Scarcity and Popularity Information. In Annual Meeting of the Academy of Management

  • Li, T., Tsekouras, D., & Cheng, Z. (2018). Free Shipping Promotions: Leveraging Scarcity and Popularity Information. In Proceedings of the International Conference on Information Systems

  • 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

  • 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

  • Frick, T., & Li, T. (2016). Personalization in Social Retargeting – A Field Experiment. In - Association for Information Systems (AIS).

  • 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.

  • Cheng, Z., Li, T., & Pavlou, P. (2016). Acquisition Channels and Customer Churn: Evidence from the Auto Insurance Industry. In -

  • Frick, T., & Li, T. (2016). Social Retargeting: A Field Experiment. In Proceedings of the Statistical Challenge in eCommerce Research Symposium

  • Li, T., & Tsekouras, D. (2015). Effort Reciprocity on Perceived Recommendation Agent Quality: An Experimental Study. In Proceedings of the International Conference on Information Systems

  • Tsekouras, D., & Li, T. (2015). Effort Reciprocity on Perceived Recommendation Agent Quality: An Experimental Study. In Proceedings of the European Conference on Information Systems

  • 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

  • Frick, T., Tsekouras, D., & Li, T. (2014). The Times They Are A-Changin:Examining the Impact of Social Media on Music Album Performance. In -

  • 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

  • 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

  • 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

  • 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

  • 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.

  • 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.

  • 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

  • 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.

  • Li, T., van Heck, E., & Vervest, P. (2008). Use and Impact of Mobile Ticketing Technologies for Revenue Management. In Academy of Management Meeting

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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.

Internal (1)
  • Li, T. (2009). Informedness and Customer-Centric Revenue Management. [Doctoral Thesis, Erasmus University Rotterdam]. Erasmus University Rotterdam (EUR).

Popular (1)
  • 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

Academic (2)

Academic (1)
  • 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.

Academic (11)
  • 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).

  • 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).

  • 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

  • Bar, D., Feuerriegel, S., Li, T., & Weinmann, M. (2023). Behavioral interventions increase the adoption of green technologies (under review).

  • 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

  • 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

  • Cheng, A., Li, T., & Pavlou, P. (2022). Information Transparency and Customer Churn: Evidence from the Insurance Industry (under review).

  • 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

  • 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

  • Balocco, F., Yixin, L., Li, T., & Gupta, A. (2022). LemonAds: Impression Quality in Programmatic Advertising (under review).

  • Li, T., Tsekouras, D., & Cheng, Z. (2021). Free Shipping Promotions: Leveraging Scarcity and Popularity Information (under review).

  • MIS Quarterly: Management Information Systems (Journal)

    Editorial work (Academic)

  • Information Systems Research (Journal)

    Editorial work (Academic)

  • Journal of Management Information Systems (Journal)

    Editorial work (Academic)

Courses

Information Strategy

  • Study year: 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: 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: 2023/2024, 2022/2023
  • Code: BM06BIM
  • Level: Master

BIM Master Thesis

  • Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020, 2018/2019
  • Code: BMMTBIM
  • Level: Master

BIM Thesis Clinic

  • Study year: 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, 2014/2015
  • Code: BKBMIN030
  • ECTS: 15 Level: Bachelor, Bachelor 3, Bachelor 3

Information strategy

  • Study year: 2014/2015
  • Code: RSM01BIM
  • ECTS: 5 Level: Master

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  • 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…

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    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…

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    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.

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    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…

  • 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…

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    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…

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    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…

  • Must read: 13% koerswinst China in 2018

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