Collective Intelligence of Market-Categories in Entrepreneurial Ecosystems: Evidence of Population-Level Learning in Mobile Applications

20 Pages Posted: 3 May 2016

See all articles by Jaemin Lee

Jaemin Lee

Imperial College Business School

Jason P. Davis

INSEAD

Date Written: May 2, 2016

Abstract

In this paper, we examine how groups of organizations engage in population-level learning in entrepreneurial ecosystems. We specifically analyze how within- and across-group characteristics of organizational groups shape learning, and thereby extend the literature on population-level learning that has focused mostly on within-population leaning. We argue that a group of new organizations may develop collective intelligence, in which population-level learning stemming from both the audience of consumers and fellow producers enhances innovation in groups. These persistent differences are facilitated by active feedback from within the audience (within-group learning sources) and member organizations’ diversification into other groups (across-group sources), but the effect of latter decreases after a certain point, indicating a curvilinear relationship. Our longitudinal analysis of Apple’s mobile application ecosystem supports these claims. Different market-categories indicated a significant, persistent heterogeneity in the aggregated performance across several different criteria, and this heterogeneity was facilitated by active audience feedback. Diversification of member organizations also showed a positive influence on group-level heterogeneity, yet its effect decreased after a threshold. This paper contributes to the literature on population-level learning by showing the importance of examining across-group learning sources, and by introducing a new collective intelligence framework for analyzing organizational groups. In addition, we provide a framework through which persistent heterogeneity in entrepreneurial ecosystem innovation can be understood.

Suggested Citation

jaemin.lee@insead.edu, Jaemin and Davis, Jason P., Collective Intelligence of Market-Categories in Entrepreneurial Ecosystems: Evidence of Population-Level Learning in Mobile Applications (May 2, 2016). INSEAD Working Paper No. 2016/30/EFE. Available at SSRN: https://ssrn.com/abstract=2773540 or http://dx.doi.org/10.2139/ssrn.2773540

Jaemin Jaemin.lee@insead.edu (Contact Author)

Imperial College Business School ( email )

United Kingdom

Jason P. Davis

INSEAD ( email )

1 Ayer Rajah Avenue
Singapore
Singapore

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