Data sharing between the public and private sectors, such as ride-hailing platform (RHP) firms and the government, aims to generate value. However, the reasons behind the intentions of RHP firms to share data with public entities remain unclear. In this research, a business-to-government (B2G) information-sharing framework is employed, and a mixed study combining structural equation modeling (SEM), with a sample size of 426 and fuzzy-set qualitative comparative analysis (fsQCA), with a sample size of 82 is conducted. The same variables are adopted and assessed through different methods, providing complementary insights into how information and technology, organizational and managerial dynamics, and political and policy considerations affect the intentions of RHP firms to share data with the government. The results of SEM analysis show government-led initiatives related to data infrastructure, data management improvement, robust systems for data security, administrative penalties, and strong government–business political connections collectively decrease the reluctance to share data (RSD) among RHP firms. The platform power (PP) level of RHP firms influences B2G data sharing to varying degrees. The fsQCA analysis identifies four configurations linked to the RSD of RHP firms, and their combinations result in the same outcome. Heterogeneity analysis further yields variations in configurations of reluctance across different PP levels. This research has important implications for governments seeking to address firm reluctance and promote sustainable B2G data-sharing practices.
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