prof.dr. T (Ting) Li

Biography

Ting Li is the Professor of Digital Business at Rotterdam School of Management (RSM), Erasmus University, where she leads the Information Systems group. She is a founding member and the Academic Director of Digital Business Practice at the Erasmus Centre for Data Analytics, and 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.

Rotterdam School of Management, Erasmus University

Full professor | Department of Technology and Operations Management
Email
tli@rsm.nl

Work

  • Ting Li (30 November 2023) - Saving money is more important than the environment when it comes to solar panel sales
  • Ting Li (29 November 2023) - Saving money is more important than the environment when it comes to solar panel sales
  • Ting Li (8 February 2022) - How Much People Are Willing to Pay for Dating App

  • Ting Li (2012) - MIS Quarterly: Management Information Systems (Journal) (Member of editorial board)
    Activity: Editorial work › Academic
  • Ting Li (2010) - Information Systems Research (Journal) (Member of editorial board)
    Activity: Editorial work › Academic
  • Ting Li (2008) - Journal of Management Information Systems (Journal) (Editor)
    Activity: Editorial work › Academic

Kuanta

Start date approval
December 2024
End date approval
December 2027
Place
SINGAPORE
Description
Advisor

Information Systems Research (NLIS)

Level
PhD
Year Level
PhD
Year
2026
Course Code
BERMASC051

Information Strategy

Year Level
master, IM/CEMS, Exchange, ERIM
Year
2026
Course Code
BM01BIM

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