403: Teaching International Business (IB) in an AI World (14624)

In recent years, Artificial Intelligence (AI) has begun revolutionizing various aspects of international business and trade, introducing significant benefits and triggering disruptions to traditional multinational enterprise structures and practices. AI already affects trade data analysis, supply chain optimization, trade facilitation, market intelligence, and beyond. While in fields like Information Systems, Management Science, Operations Management, and (very tentatively) Strategy, AI has received increasing interest in research and teaching, it remains a lacuna in International Business. In this PDW, we identify IB critical topics and emerging teaching materials, including cases and readings from our field or other relevant fields. We also develop a practical pedagogic pathway for incorporating and further developing AI in IB teaching. We seek to answer the question: How should we teach AI in IB courses today? Through this, we will understand (A) how the traditional Model of the MNE and its various forms is already / will be affected by AI and what this means for IB teachings; (B) identify existing cases, readings, and practitioner materials from IB and other fields that we can contextualize to IB; (C) We will look at crossover points, where multi-disciplinary, new innovative approaches may be feasible or even badly needed. Ultimately, PDW participants will walk away with a practical guide for incorporating AI into their IB teachings.