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2025 AOM Annual Meeting

STR

Session: 25398: Acquisitions, Adaptation, and Ecosystem Strategy: Lessons from Platforms and Beyond

14387: Scaling High and Wide: Leveraging Artificial Intelligence for Ecosystem Scale-up (session 25398)

Monday, July 28, 2025

13:45 - 15:15 CEST (GMT+2)

Location: Bella Center: Hall B- B1-m1

Session Type: Paper Session
Shareable link: https://cdmcd.co/pM6JR4

Author(s)

FW

Feng Wan

Zhejiang University, China
TY

Tianxi Yang

Tsinghua U., China
XS

Xianwei Shi

Antai College of Economics and Management, Shanghai Jiao Tong U., China
KR

Ke Rong

Tsinghua U., China
SA

Shahzad Ansari

U. of Cambridge, United Kingdom

Designated as a “Best Paper” by STR
view abridged “best paper” (if available)

Digital firms often struggle to balance scaling up with expanding scope, which is a trade-off due to resource limitations. Our longitudinal study of ByteDance challenges this assumption, showing how Artificial Intelligence (AI) resolves this tension through its replicability and self-reinforcement. We develop a process model illustrating how AI, paired with adaptive ecosystem strategies, enables firms to simultaneously scaling up and expanding scope. This reframes AI as a strategic enabler of ecosystem growth, allowing firms to unlock exponential growth across multiple domains without the traditional constraints. Our findings contribute to scale-up and ecosystem literatures by highlighting AI’s ability to overcome resource trade-offs, offering insights into fostering sustainable, multidimensional growth through digital technologies. This reveals how firms can leverage AI to achieve market reach and diversification simultaneously.

view paper (if available)