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Fifth AI and Strategy Consortium

February 02 - 03, 2024

About

Developments in Artificial Intelligence (AI), particularly Machine Learning (ML) and its increasing use in the industry over the last few years provide strategy researchers with many opportunities.

The fourth “AI & Strategy” workshop intends to bring together a set of researchers interested in one or more of the themes described below through an annual meeting. This meeting will be held virtually on February 02 - 03, 2024. The conference is sponsored by Srini Raju Centre for IT and the Networked Economy (SRITNE) at the Indian School of Business. As with last year’s conference, the three objectives of this conference are

To provide a focused forum of scholars, students, and editors to seed and discuss work in the field of strategy that is contextually or empirically related to AI
To provide a forum spanning both industry and academia to accelerate learning of how AI can transform organizations and their strategies
To facilitate inter-disciplinary collaboration between computer scientists who are doing interesting work in AI/ML and strategy scholars, especially those interested in applying some of these techniques in their scholarly work.

Through this conference, we would like to continue to create an emerging body of knowledge that focuses on how the advent of AI/ML adds to a strategy researcher’s tool, understand how it will shape decision making, firm strategies, and alter competitive advantage. Hence, possible topics of interest include but are not limited to the following

How AI influences organizational learning and decision making
How the adoption of AI might shape and alter the competitive advantage
How the advent of AI might influence the performance of incumbents in an industry
New statistical methods that are appropriate for strategy research that utilizes AI or ML
Management issues including ethics and culture that might influence the adoption of AI or the subsequent performance of firms that adopted AI.

The workshop will include virtual paper presentations for about 20 minutes, followed by a 30 minutes discussion and 20-minutes Q&A on the paper.

Agenda

Day 1 February 02, 2024 - 08:30 AM to 11:50 AM, ET
08:30 AM - 08:40 AM, ET	Welcome Remarks Madan Pillutla Dean and Professor of Organization behavior Indian School of Business Harbir Singh, The Wharton School Professor of Management; Co-Director, Mack Institute for Innovation Management
08:40 AM - 09:10 AM, ET	Keynote Session-1: From AI to GenAI and its impact on business: What we know, what we don’t and why it matters”? Michael G Jacobides Sir Donald Gordon Professor of Entrepreneurship and Innovation and Professor of Strategy, London Business School
Parallel Track 1: AI and Decision Making Duration: 2 hours 50 minutes 09:05 AM – 11:55 AM, ET
09:10 AM - 09:30 AM, ET	Generative Artificial Intelligence and Evaluating Strategic Decisions. Anil R. Doshi (University College London), Jason Bell (Oxford University), Emil Mirzayev (University College London), Bart S. Vanneste (University College London)
09:30 AM - 09:50 AM, ET	AI and strategic decision-making: Preliminary evidence Hyunjin Kim (INSEAD) Harsh Ketkar (Bocconi University) Felipe Csaszar (Michigan Ross University)
09:50 AM - 10:10 AM, ET	Strategic Analysis and Decision-making through Scalable Consensus Networks using AI Assisted Generation. Charles Seeker (MIT alum)
10:10 AM - 10:20 AM, ET	*Break*
10:20 AM - 10:40 AM, ET	Information Processing and near Near-Decomposability in an AI World. Tom Steinberger (KAIST) John Joseph (UC Irvine)
10:40 AM - 11:00 AM, ET	AI Explainability Explained: Four Strategies for AI Explanations in Organizations. Tamara Thuis (Rotterdam School of Management, Erasmus University) Ting Li (Rotterdam School of Management, Erasmus University) Eric van Heck (Rotterdam School of Management, Erasmus University)
11:00 AM - 11:50 AM, ET	Q&A led by: Kannan Srikanth (Ohio State University)
Parallel Track 2: : Strategies for AI adoption Duration: 2 hour 40 minutes; 09:10 AM – 11:50 AM, ET
09:10 AM - 09:30 AM, ET	Unexpected Leadership Change as a Catalyst for Firms’ Artificial Intelligence (AI) Innovation. Kenneth G. Huang (National University of Singapore) Wanyu Xu (National University of Singapore) Guoli Chen (INSEAD)
09:30 AM - 09:50 AM, ET	Managerial Prosocial Preferences and Automation/AI Threat Perception and Investment. Daniel Keum (Columbia University)
09:50AM - 10:10 AM, ET	The Role of External and Internal Human Capital in Shaping AI Contagion. Manav Raj (Wharton) Rob Seamans (NYU)
10:10 AM - 10:20 AM, ET	*Break*
10:20 AM - 10:40 AM, ET	To Boldly Go Where No One Has Gone Before: Artificial Intelligence use in Firm Innovation Exploration and the Co-Evolution of Evaluation. Kinde Wubneh (Northeastern University)
10:40 AM - 11:00 AM, ET	The Influence of Automation on Gender Bias in Knowledge Evaluations. Shaoqin Tang (University of Colorado) Ethan Poskanzer (University of Colorado) Tony W. Tong (University of Colorado
11:00 AM - 11:50 AM, ET	Q&A led by: Nan Jia University of Southern California

Day 2 February 03, 2024 - 08:30 AM to 10:50 AM, ET
Parallel Track 1: Human-Centric AI Duration: 2 hours 20 minutes; 08:30 AM - 10:50 AM, ET
08:30 AM - 08:50 AM, ET	Automation or Augmentation? Task Characteristics, Manager Objectives, and AI Adoption. Maximilian Koehler (ESMT Berlin) Henry Sauermann (ESMT Berlin)
08:50 AM - 09:10 AM, ET	Artificial Intelligence, Emotional Labor, and Organizational Performance. Xueming Luo (Temple University) Yuqian Chang (Rutgers University) Nan Jia (University of Southern California) Zheng Fangn (Sichuan University) Jaakko Aspara (Hanken School of Economics)
09:10 AM - 09:20 AM, ET	*Break*
09:20 AM - 09:40 AM, ET	AI and Organizational Learning: A Tale of Two Cities. Youstina Masoud - (Assumption University)
09:40 AM - 10:00 AM, ET	Collaborative Intelligence for Greater Precision. Murtinu, S. (Samuele) (University of Utrecht) Claudio Panico (Bocconi University) Carmelo Cennamo (Columbia Business School)
10:00 AM - 10:50AM, ET	Q&A led by: Hyunjin Kim (INSEAD)
Parallel Track 2: AI and Firm Strategy Duration: 2 hours 50 minutes; 08:30 AM – 11:20 AM, ET
08:30 AM - 08:50 AM, ET	Market Entry in the Artificial Intelligence ecosystem: The role of problem-formulation among academic startups. Shinjinee Chattopadhyay (University of Illinois at Urbana- Champaign) Florence Honore (University of Wisconsin-Madison) Shinjae Won (University of Illinois at Urbana-Champaign
08:50 AM - 09:10 AM, ET	AI meets Agency Theory Barclay Burns (University of Cambridge) Barney (University of Uttah) David Wingate (Brigham Young University) Michael Leiblein (The Ohio State University)
09:10 AM - 09:20 AM, ET	*Break*
09:20 AM - 09:40 AM, ET	Foreignness and the Internationalization of Cultural Goods: Deep Learning-Based Semiotic Analysis of Hollywood Movies in China. Qian (Cecilia) Gu (Georgia State University) Yanqing Wang (Fudan University) Jiamin Zhang (Fudan University)
09:40 AM - 10:00 AM, ET	Exploring Patterns of Pharmaceutical Post-Marketing Withdrawal-Chemistry and Beyond. Nate Jingze Niu (ESMT Berlin) Priyanka Banerjee (ESMT Berlin) Robert Preißner (ESMT Berlin) Stefan Wagner (ESMT Berlin)
10:00 AM - 10:50 AM, ET	Q&A led by: Bart S.Vanneste (University College, London)
10:50 AM - 11:20 AM, ET	Keynote 2: Generative AI and the Future of Work Rohini Srivathsa (Microsoft) Shruti Bhatia (Microsoft)