Christopher L Tucci
Professor of Major Programmes and Innovation at Saïd Business School, University of Oxford, and Professor of Digital Strategy & Innovation at Imperial College Business School (on leave). He was Founding Dean of NEOM University’s College of Business & Innovation, Interim Vice Dean of Education at Imperial Business School, and Co-Director (Education) of Imperial’s I-X initiative on AI, machine learning, and digital technologies. Previously, he was Professor of Management of Technology and held the Chair in Corporate Strategy & Innovation at EPFL (École Polytechnique Fédérale de Lausanne), where he also served as Dean of the College of Management (2013–2018).
He holds a Ph.D. in Management from the Sloan School of Management at MIT, an SM in Technology & Policy/EECS from MIT, and degrees in Mathematical Sciences, Music, and Computer Science from Stanford University. Before academia, he worked as an industrial computer scientist at Ford Aerospace, contributing to Internet protocols and early AI tools. He has published extensively in top journals including Academy of Management Review, Strategic Management Journal, and Management Science, and co-authored influential books on Internet business models and open innovation. His work on crowdsourcing received the Best Paper Award in Academy of Management Review (2012).
Specialization
Digital Strategy and Innovation, Business Model Innovation, Open Innovation, Artificial Intelligence and Innovation, Crowdsourcing, and Technology Strategy
Main Themes Addressed in the Lecture
- Innovative internet / digital business models and regulatory implications
- Distinguishing Industry 4.0, Internet of Things, and crowdsourcing
- Crowdsourcing: converting distant search into local search
- Examples: Netflix Prize, blood biomarker analysis, NutriBar + 3D printing
- Internet of Things and passive crowdsourcing (e.g., Waze)
- Business model innovation: design vs. reconfiguration
- Classic cases (Xerox leasing model, GM financing, Apple iTunes/App Store)
- AI as mainly process innovation (pattern recognition, fraud detection, diagnostics)
- AI-enabled business models: servitization, data monetization, platforms
- Regulation of the future: sector convergence, challenges of digital technologies, and adaptive regulation