STR
OMT
TIM
Hui Sun
Frankfurt School of Finance & Management, Sweden
Vibha Gaba
INSEAD, Singapore
Hui Sun
Frankfurt School of Finance & Management, Sweden
Daniel Levinthal
U. of Pennsylvania, United States
Alan Meyer
U. of Oregon, United States
Amy Zhao-Ding
Technical U. of Munich, Germany
Jaeho Choi
HKUST Business School, Hong Kong
Jamie Seoyeon Song
ESMT European School of Management and Technology, Germany
Cha Li
U. of Texas at Austin, United States
Xirong Shen
McCombs School of Business, U. of Texas at Austin, United States
Francisco Polidoro
U. of Texas at Austin, United States
Jizhen Li
Tsinghua U., China
Amy Zhao-Ding
Technical U. of Munich, Germany
In today’s dynamic, uncertain, and ambiguous environment, the future is often “unpredictably different from the past, and information about the future is incomplete, unknown, or unavailable” (Furr & Eisenhardt 2021: 1916). Firms struggle to understand and adapt to changes driven by emerging technologies (like large language models), escalating geopolitical tensions (such as the Ukrainian wars), and macroeconomic shifts (including interest rate hikes). These challenges underscore the need to comprehend how decision-makers understand that decision-making context, how they interpret ambiguous or even contradictory feedback, and how they mobilize internal and external support for change in a highly uncertain environment. This symposium aims to enrich our understanding by showcasing new research in a diverse set of entrepreneurial and innovation contexts. For example, Jamie Seoyeon Song and Jaeho Choi explore the impact of divergent feedback on entrepreneurial pivoting in the context of Product Hunt. Xirong (Subrina) Shen, Cha Li, Francisco Polidoro Jr., and Jizhen Li utilize detailed data on A/B testing in a large tech firm to investigate how experiences with interdependence affect decision-makers' subsequent product innovation searches. Amy Zhao-Ding and Vibha Gaba's paper probes how market aggregate feedback—user evaluations for existing competitive products—informs Photo & Video mobile app developers' product positioning in the functional space. Hui Sun employs computational simulation to uncover how ambiguity—an intrinsic property of language—shapes the evolution of interpretations within organizations. Collectively, the set of papers explores nuances in how organizations learn and adapt in complex decision-making contexts with diverse, ambiguous, and interdependent feedback.
Author: Jamie Seoyeon Song – ESMT European School of Management and Technology
Author: Jaeho Choi – HKUST Business School
Author: Xirong Shen – McCombs School of Business, U. of Texas at Austin
Author: Cha Li – U. of Texas at Austin
Author: Francisco Polidoro – U. of Texas at Austin
Author: Jizhen Li – Tsinghua U.
Author: Amy Zhao-Ding – Technical U. of Munich
Author: Vibha Gaba – INSEAD
Author: Hui Sun – Frankfurt School of Finance & Management