1646: Predictive Technologies and Firm Innovation (11973)

Organizer(s)

• PS

  Puneet Sachdeva

  U. of Texas at Austin, United States
• JC

  Jong Sig Chung

  McCombs School of Business, U. of Texas at Austin, United States

Discussant(s)

• NB

  Natarajan Balasubramanian

  Syracuse U., United States
• KH

  Kenneth Guang-Lih Huang

  National U. of Singapore, Singapore

Presenter(s)

• MT

  Matteo Tranchero

  Haas School of Business, UC Berkeley, United States
• HK

  Hyunjin Kim

  INSEAD, Singapore
• AB

  Abhishek Bhatia

  London Business School, United Kingdom

This symposium explores how organizational factors affect the adoption of predictive technologies (e.g., AI, algorithms, and IoT sensors) and the performance implications of utilizing such technologies in innovation contexts. Four empirical studies in this symposium investigate how the successful use of predictive technologies relies on the interplay between organizational factors such as domain knowledge, existing resources, and flexibility, and task characteristics such as knowledge generation, evaluation, or implementation. These studies explore antecedents and outcomes of using predictive technologies in diverse sectors such as pharmaceuticals, entrepreneurial finance, mutual funds, and video games. Methodologically, these studies employ rigorous data collection, robust empirical designs, or carefully controlled field experiments.

Presentations:

• 15:00 – 16:30 CT (GMT-5/UTC-5)

  1646: Finding Diamonds in the Rough: Data-Driven Opportunities and Pharmaceutical Innovation (11973)
  

  Author: Matteo Tranchero – Haas School of Business, UC Berkeley
• 15:00 – 16:30 CT (GMT-5/UTC-5)

  1646: Data Driven Discovery of Entrepreneurial Opportunities (11973)
  

  Author: Abhishek Bhatia – London Business School
• 15:00 – 16:30 CT (GMT-5/UTC-5)

  1646: Machine Predictions and Causal Explanations: Evidence from a Field Experiment (11973)
  

  Author: Hyunjin Kim – INSEAD
• 15:00 – 16:30 CT (GMT-5/UTC-5)

  1646: AI in the Creative Arena: Incumbency, exploration, and Game Performance (11973)
  

  Author: Puneet Sachdeva – U. of Texas at Austin