From Platform Co-Governance to Digital Social Sustainability: Entrepreneurial Bricolage, Resilience, and Ecosystem Support Among Women with Disabilities
Year: 2026
Type: article
Abstract: This study examines the associations between platform co-governance and perceived social sustainability among women with disabilities engaged in digital marketplaces in Saudi Arabia. It investigates entrepreneurial bricolage, entrepreneurial resilience, and livelihood resilience as sequential mediating mechanisms, with digital entrepreneurial ecosystem support moderating the relationship between entrepreneurial resilience and livelihood resilience. Data were collected from 238 women with disabilities engaged in digital-marketplace activity and analyzed using partial least squares structural equation modeling (PLS-SEM). The findings indicate positive associations between platform co-governance and entrepreneurial bricolage, entrepreneurial bricolage and entrepreneurial resilience, entrepreneurial resilience and livelihood resilience, and livelihood resilience and perceived social sustainability. The proposed sequential indirect effect linking platform co-governance to perceived social sustainability through entrepreneurial bricolage, entrepreneurial resilience, and livelihood resilience was statistically significant but small. Digital entrepreneurial ecosystem support also strengthened the positive association between entrepreneurial resilience and livelihood resilience. These findings suggest that resource mobilization, individual adaptive capacity, livelihood resilience, and ecosystem support are associated with perceived social-sustainability outcomes in digitally mediated entrepreneurship. The study contributes an integrated framework linking platform governance, entrepreneurial resourcefulness, and resilience, while distinguishing digital social sustainability as a broader theoretical perspective from the respondent-reported social sustainability outcome was examined empirically. Given the cross-sectional design and non-probability sampling, the findings should be interpreted as associations rather than definitive causal effects.
Source: Sustainability
DOI: 10.3390/su182111384
Language: English
Subfield: Management of Technology and Innovation
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,896
OpenAlex ID: W7225615118