Abstract
Digital infrastructure represents for startups in entrepreneurial ecosystems an important asset but also a major risk. Drawing on studies about digital entrepreneurship and ecosystems, we examine the determinants of the heterogeneity of startups’ tech stacks in ecosystems. Using publicly available data from the data aggregators Stackshare and Crunchbase, we identify popular endogenous categories in startups’ tech stacks. Then we conduct a visual network analysis and a multivariate regression analysis, utilizing the identified technology categories to measure the heterogeneity of the startups’ tech stacks. The analysis supports the propositions that firm age and increased funding are positively associated with tech stack heterogeneity, whereas funding rounds are negatively associated with tech stack heterogeneity. Implications of our findings on digital entrepreneurship and ecosystems are discussed.
Original language | English |
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Title of host publication | Proceedings of the 53rd Hawaii International Conference on System Sciences |
Number of pages | 10 |
Place of Publication | Honolulu |
Publisher | Hawaii International Conference on System Sciences (HICSS) |
Publication date | 2020 |
Pages | 5728-5737 |
ISBN (Electronic) | 9780998133133 |
DOIs | |
Publication status | Published - 2020 |
Externally published | Yes |
Event | 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020 - Grand Wailea, Maui, United States Duration: 7 Jan 2020 → 10 Jan 2020 Conference number: 53 https://scholarspace.manoa.hawaii.edu/handle/10125/63576 |
Conference
Conference | 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020 |
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Number | 53 |
Location | Grand Wailea |
Country/Territory | United States |
City | Maui |
Period | 07/01/2020 → 10/01/2020 |
Internet address |
Series | Proceedings of the Annual Hawaii International Conference on System Sciences |
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ISSN | 1060-3425 |