Digital entrepreneurial ecosystems: Revealing the drivers and implications of digitalisation for start-ups

Lorenzo Compagnucci et al.

International Small Business Journal2026https://doi.org/10.1177/02662426261420708article
AJG 3ABDC A
Weight
0.50

Abstract

This article explores both the drivers of the digitalisation of start-ups, and its impact on their economic, innovative and social performance. Integrating the framework of the digital entrepreneurial ecosystem (DEE) and the institutional perspective of ecosystems, structural equation modelling is used to test hypotheses on data collected from 206 Brazilian start-ups. Findings reveal that the dimensions of the DEE, its resources, institutions and infrastructures, contribute to strengthening the digitalisation of start-ups. However, this might not be equally relevant for diverse contexts. The results also extend entrepreneurial orientation (EO) theory by investigating its role as mediator: innovation, proactivity and risk-taking enhance DEE factors in the use of digital technologies for developing products and services, processes and customer interactions. As digital tools are implemented, and EO is internalised, benefits can also be observed in the social domain. Managerial and policy implications are suggested for developing supportive DEEs in emerging countries.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1177/02662426261420708

Or copy a formatted citation

@article{lorenzo2026,
  title        = {{Digital entrepreneurial ecosystems: Revealing the drivers and implications of digitalisation for start-ups}},
  author       = {Lorenzo Compagnucci et al.},
  journal      = {International Small Business Journal},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/02662426261420708},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Digital entrepreneurial ecosystems: Revealing the drivers and implications of digitalisation for start-ups

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.