prof.dr. (Ting) T. Li

prof.dr. (Ting) T. Li

Endowed Professor of Digital Business

Endowed Professor RSM - Rotterdam School of Management Department of Technology and Operations Management
Location
Erasmus University Rotterdam
Room
T 09-16
Telephone
+31 10 4081961
Email
tli@rsm.nl

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Profile

Ting Li is the Endowed Professor of Digital Business and the Academic Director of MSc Business Information Management at Rotterdam School of Management (RSM), Erasmus University. She is the founding member 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…

Ting Li is the Endowed Professor of Digital Business and the Academic Director of MSc Business Information Management at Rotterdam School of Management (RSM), Erasmus University. She is the founding member 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 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.

Address

Visiting address

Burg. Oudlaan 50 3062 PA Rotterdam

Postal address

Postbus 1738 3000 DR Rotterdam