| Issue |
E3S Web Conf.
Volume 677, 2025
The 3rd International Conference on Disaster Mitigation and Management (3rd ICDMM 2025)
|
|
|---|---|---|
| Article Number | 03008 | |
| Number of page(s) | 8 | |
| Section | Policy, Institutional Governance, and Capacity Building for Disaster Management | |
| DOI | https://doi.org/10.1051/e3sconf/202567703008 | |
| Published online | 12 December 2025 | |
From resilience to performance: How learning from innovation failure shapes entrepreneurship in disaster-prone areas
1 Department of Management, Faculty of Economics and Business, Universitas Andalas, Padang, Indonesia
2 Department of Vocationasl Studies, Faculty of Economics and Business, Universitas Andalas, Padang, Indonesia
* Corresponding author: belligoagra@eb.unand.ac.id
This study examines how entrepreneurial resilience influences learning from innovation failure and its implications for entrepreneurial well-being, performance, and business innovation among young entrepreneurs in disaster-prone areas of West Sumatra. Utilizing a quantitative approach with 434 respondents and employing Partial Least Squares-based Structural Equation Modeling analysis, the results reveal that entrepreneurial resilience significantly enhances learning from innovation failure. This, in turn, leads to improved business well-being, performance, and innovation, with innovation experiencing the most substantial impact. The findings highlight the importance of learning from failure as a crucial mechanism that connects resilience to entrepreneurial outcomes. Theoretically, this study enriches the literature on entrepreneurship by proposing a mediation model of learning from failure in the context of disaster-prone areas. Practically, it recommends an entrepreneurship program that incorporates psychological capacity building, entrepreneurial literacy, and disaster risk management to enhance adaptability, innovation, and competitiveness among entrepreneurs.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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