About

About

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

The sixth “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 have an in-person component (at ISB campus in Hyderabad) as well as virtual participation, on February 21 and 22, 2025.

The conference is sponsored by Srini Raju Centre forIT and the Networked Economy (SRITNE) at the Indian School of Business. As with previous 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 interdisciplinary collaboration between computer scientists 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 15 minutes, followed by a 15-minute discussion on the paper.

Agenda

Day 1
February 21, 2025 - 07:30 am to 12:00 pm, ET

07.30 am - 07.40 am, ET

Welcome Remarks

Madan Pillutla (Dean, Indian School of Business)

Harbir Singh (Professor of Management, Wharton School; Area Leader of Strategy, Indian School of Business)

Parallel Track 1: AI in Organizational Design

This track focuses on How AI shapes and is shaped by organizational design.

Duration: 2 hours; 07:40 am - 09:40 am, ET

07:40 am - 08:00 am

Show Your Work Please: AI use for Firm Innovation, Complementary Assets, and Institutional Actors Evaluation

Kinde Wubneh (Northeastern University)

08:00 am - 08:20 am

GenAI Adoption and its Impact on Organizational Structure

Piyush Gulati (INSEAD), Arianna Marchetti (LBS), Phanish Puranam (INSEAD), Victoria Sevcenko (INSEAD)

08:20 am - 8:40 am

Eliciting Domain Expertise in the Absence of Formal Authority: The Case of AI Developers and Domain Experts in a Large Firm

Arvind Karunakaran (Stanford University)

08:40 am - 09:00 am

How Artificial Intelligence Reshapes Non-AI Roles: Organizational Design and Skill Demand in Professional Service Firms

Nan Jia (University of Southern California), Jinyuan Song (George Mason University), Yifan Wei (Simon Fraser University)

09:00 am - 09:20 am

Discussion led by Bart Vanneste

09:20 am - 09:30 am

Q&A

09:30 am - 09:40 am

Break

Parallel Track 2: Human-AI Collaboration and Capability Development using AI

This track focuses on understanding and improving the dynamics of collaboration between humans & AI in addition to exploring how AI aids in the development of firm capabilities.

Duration: 2 hours; 07:40 am - 12:00 pm, ET

07:40 am - 08:00 am

Anthropomorphizing AI Agents to Achieve human-AI Harmony —boom or bust?

Marlo Raveendran (University of California, Riverside), Inna Smirnova (University of Michigan)

08:00 am - 08:20 am

Learning to Collaborate: How Humans Identify AI Relative Expertise in Human-AI Collaboration

Tianyu He (National University of Singapore), Varun Karamshetty (National University of Singapore)

08:20 am - 08:40 am

Capability shedding in the age of AI: Exploring the dual impact of augmentation and reduction on organizational structures and skill prioritization

Matteo Devigili, Vibha Gaba, Henrich Greve, Erdem Dogukan Yilmaz (INSEAD)

08:40 am - 09:00 am

Double Machine Learning for Abductive Theory Elaboration: Discovering Complex Interactions from Observational Data

Rudolf Maculan (ETH Zurich), Patrick Tinguely (ETH Zurich), Georg von Krogh (ETH Zurich), Yash Raj Shrestha (HEC Lausanne), Paul Hünermund (Copenhagen Business School)

09:00 am - 09:20 am

Discussion led by Samuele Murtinu

09:20 am - 09:30 am

Q&A

09:30 am - 09:40 am

Break

09:40 am - 11:00 am

Panel: Batia Wiesenfeld (NYU), Phanish Puranam (INSEAD)/Vivianna (Fang) He (UCL), John Joseph (UC Irvine), Natarajan Balasubramanian (Syracuse U.) – AI and Organizational Learning

Discussant: Sunkee Lee (Carnegie Mellon)

11:00 am - 11:10 am

Break

11:10 am - 12:00 pm

Poster sessions:

Applying the Hyperrationality of Artificial Intelligence to Strategic Decision Making: A Formal Analysis Using the Metaphor of the Business Landscape

David Gaddis Ross (University of Florida), Heng Xu (University of Florida), Nan Zhang (University of Florida)

Make, Then Buy? Occupational Misalignment, Technological Bundling, and the Dynamics of AI Sourcing Decisions in Large Firms

Arvind Karunakaran (Stanford University), Luca Vendraminelli (Stanford University), Devesh Narayanan (Stanford University)

Resolving Information Overload in Crowdsourcing Evaluations with Artificial Intelligence

Cyrille Grumbach (ETH Zurich)

Reimagining Corporate Governance: The Role of Generative AI as Directors on Corporate Boards

Deepika Chhillar (Gies School of Business, University of Illinois at Urbana-   Champaign), Tim Hubbard (University of Notre Dame), Ruth Aguilera (Northeastern University)

Uncovering the Role of Generative Agent-Based Modeling in Management Research

Sangseok Lee (City University of London, Bayes School), Simone Santoni (City University of London, Bayes School)

 

Day 2
February 22, 2025 - 07:30 am to 11:10 am, ET

Parallel Track 1: Generative AI, Productivity, and Decision Making

This track focuses on exploring generative AI's influence on productivity and decision-making frameworks.

Duration: 2 hours; 07:30 - 09:30 am, ET

07.30 am - 07:50 am

Where Has All the GenAI Productivity Gone Jagged Diffusion and Structural Pre-adaptation

M. Dalbert Ma (London Business School), Michael G. Jacobides (London Business School)

07:50 am - 08:10 am

The Uneven Impact of Generative AI on Entrepreneurial Performance

Nicholas G. Otis (Berkeley Haas), Rowan Clarke (Harvard Business School), Solene Delecourt (Berkeley Haas), David Holtz (Berkeley Haas), Rembrand Koning (Harvard Business School)

08:10 am - 08:30 am

The Wade Test: Generative AI and CEO Communication

Prithwiraj Choudhury (Harvard Business School), Xi Kang, Bart S. Vanneste (UCL), Amirhossein Zohrehvand (Leiden University)

08:30 am - 08:50 am

Bridging the Divide: Leveraging Custom GPTs to Address Theoretical Fragmentation in Strategy Research

Vikas Aggarwal, Erdem Dogukan Yilmaz (INSEAD)

08:50 am - 09:10 am

Discussion led by Vivek Tandon

 09:10 am - 09:20 am

Q&A

09:20 am - 09:30 am

Break

Parallel Track 2: Ethical, Creative, and Societal Implications of AI

This track focuses on Broader impacts of AI on ethics, creativity, and societal values

Duration: 2 hours; 07:30 am - 11:10 am, ET

07.30 am - 07:50 am

Does Engagement with AI-made Art Lead to Changes in Criteria Used for Evaluating Human-made Art?  

Mitali Banerjee (McGill University), Özgecan Koçak (Emory University), Matthew Yeaton (HEC Paris)

07:50 am - 08:10 am

The Role of Ethical Principles in AI Startups

Stephen Michael Impink (HEC Paris), James Bessen (Boston University), Robert Seamans (New York University)

08:10 am - 08:30 am

AI-Enabled Job Markets & Market Participation: Jobseekers’ “Rational Expectations” About Competition vs “AI Aversion”

Sarah Bana (Chapman University), Kevin J. Boudreau (Northeastern University)

08:30 am - 08:50 am

The Birth of GPT-Based Firms and Industries: Roles of Domain and Technical Human Capital

Mingtao Xu (Tsing Hua University), Natarajan Balasubramanian (Syracuse University)

08:50 am - 09:10 am

Discussion led by Prothit Sen

09:10 am - 09:20 am

Q&A

09:20 am - 09:30 am

Break

09:30 am - 10:20 am

Poster Sessions:

How experience moderates the impact of generative AI ideas on the research process

Sen Chai (McGill), Anil Doshi (UCL), Matthias Tröbinger (ESSEC)

AI Adoption and the Demand for Managerial Expertise

Liudmila Alekseeva (KU Leuven), Jose Azar (IESE), Mireia Gine (IESE), Sampsa Samila (IESE)

AI Innovations under Geopolitical Disruptions: CFIUS Blockage and AI Adoption in U.S. Firms

Kenneth G. Huang (National University of Singapore), Qing He (National University of Singapore)

The Adoption and Efficacy of Large Language Models: Evidence from Consumer Complaints in the Financial Industry

Minkyu Shin (City University of Hong Kong), Jin Kim (Northeastern University), Jiwoong Shin (Yale University)

How Organizations Use Technological Tools to Govern AI Implementation

Tamara Thuis (Erasmus University), Natalia Levina (NYU Stern)

10:20 am - 11:10 am

Panel: Vibha Gaba, Natalia Levina, Deepak Somaya, Prithwiraj– Taking stock of publishing with & about AI

All times are in Eastern Standard Time (EST) zone.

Conference chair

Professor Anand Nandkumar

Anand Nandkumar

Associate Professor , Strategy & Entrepreneurship, Executive Director SRITNE

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Phanish Puranam

Professor of Strategy & Organization Design at INSEAD

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Prithwiraj Choudhury

Associate Professor at Harvard Business School
 


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Indian School of Business

Hyderabad Campus: Gachibowli, Hyderabad 500 111, India

E-mail: lima_foregard@isb.edu
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