Publication Type
Journal Article
Version
acceptedVersion
Publication Date
9-2021
Abstract
The emergence of large-scale digital platforms such as Facebook, Google Play and Apple App Store around 2008 has created opportunities for independent entrepreneurs to offer their self-developed software applications (“apps”) to large groups of platform users. The development and release of tens of thousands of apps by thousands of independent developers has created dynamic entrepreneurial ecosystems. This paper investigates whether and how learning by independent habitual entrepreneurs unfolds in substantively different ways in such dynamic platform-based environments. We argue that in these entrepreneurial ecosystems, the timing of learning efforts becomes essential. For Facebook app developers, we find that learning from their own prior app projects remains feasible. However, entrepreneurs have only a few months during which they can benefit from what they learned from a prior app project. This study supports the feasibility of time-contingent learning from prior app projects for increasingly prevalent dynamic entrepreneurial ecosystems such as digital platforms. Implications for future research and management practice are outlined.
Keywords
Entrepreneurial ecosystems, Digital platforms, Habitual entrepreneurs, Dynamic environments, Prior project experience, Entrepreneurial learning
Discipline
Strategic Management Policy | Technology and Innovation
Research Areas
Strategy and Organisation
Publication
Journal of Business Venturing
Volume
36
Issue
5
First Page
1012
Last Page
20
ISSN
0883-9026
Identifier
10.1016/j.jbusvent.2021.106140
Publisher
Elsevier
Embargo Period
8-5-2023
Citation
FAN, Terence; SCHWAB, Andreas; and GENG, Xuesong.
Habitual entrepreneurship in digital platform ecosystems: A time-contingent model of learning from prior software project experiences. (2021). Journal of Business Venturing. 36, (5), 1012-20.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/6780
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1016/j.jbusvent.2021.106140