Coupling in Platform-Led Entrepreneurial Ecosystems and Startup Performance: Evidence from a Survey of Chinese Startups

Although the entrepreneurial incubation performance of the platform-led entrepreneurial ecosystem is remarkable, existing research lacks insights into how to empower startups and how to effectively improve their performance as important ecosystem participants. To address this gap, this study analyzed the questionnaire data from 368 employees of startups associated with platform enterprises established for less than 8 years. Research findings indicate that within these ecosystems, the coupling relationship between startups and platform ecosystem participants facilitates the formation of interest communities within the platform ecosystem’s inner circles. Crucially, this study reveals that formal platform governance significantly moderates these relationships, acting as an institutional safeguard that curbs opportunistic behavior and amplifies the performance-enhancing effects of coupling. This synergistic interplay between coupling and formal governance mechanisms drives collective value creation across the entire platform, and thus improves startup performance. Finally, based on the coupling intensity and governance maturity, this study has built a practical decision-making matrix, which provides clear strategic rules for startups, large enterprises and policymakers, so as to enhance sustainable collaboration and resource allocation among all ecosystem participants.

Authors

Institutions

Publication Details

Journal
Journal of theoretical and applied electronic commerce research
Published
2026-05-09
DOI
https://doi.org/10.3390/jtaer21050151
Primary Topic
Digital Platforms and Economics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Coupling in Platform-Led Entrepreneurial Ecosystems and Startup Performance: Evidence from a Survey of Chinese Startups

Ge Tian, Jingxian Wang, Joohan Ryoo
Journal of theoretical and applied electronic commerce research
Digital Platforms and Economics
article

Coupling in Platform-Led Entrepreneurial Ecosystems and Startup Performance: Evidence from a Survey of Chinese Startups

Ge Tian, Jingxian Wang, Joohan Ryoo
article en

Abstract

Although the entrepreneurial incubation performance of the platform-led entrepreneurial ecosystem is remarkable, existing research lacks insights into how to empower startups and how to effectively improve their performance as important ecosystem participants. To address this gap, this study analyzed the questionnaire data from 368 employees of startups associated with platform enterprises established for less than 8 years. Research findings indicate that within these ecosystems, the coupling relationship between startups and platform ecosystem participants facilitates the formation of interest communities within the platform ecosystem’s inner circles. Crucially, this study reveals that formal platform governance significantly moderates these relationships, acting as an institutional safeguard that curbs opportunistic behavior and amplifies the performance-enhancing effects of coupling. This synergistic interplay between coupling and formal governance mechanisms drives collective value creation across the entire platform, and thus improves startup performance. Finally, based on the coupling intensity and governance maturity, this study has built a practical decision-making matrix, which provides clear strategic rules for startups, large enterprises and policymakers, so as to enhance sustainable collaboration and resource allocation among all ecosystem participants.

Journal of theoretical and applied electronic commerce researchVol. 21(5)
Korea University of International Studies (KR), Hanyang University (KR)
Openalex Percentile: Top 3%
Digital Platforms and Economics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.