Decentralized Autonomous Organization (DAO) model proposal with blockchain for ride sharing in Brazil
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2025-05-13
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Larieira, Cláudio Luís Carvalho
Francisco, Eduardo de Rezende
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The gig economy, characterized by temporary and flexible work facilitated through digital platforms, has witnessed substantial growth in recent decades. In 2021, the International Labour Organization reported approximately 1.5 billion gig workers globally, constituting around 45% of the workforce. In the United States, this sector contributes roughly $1.4 trillion annually, while in Brazil, around 17 million individuals are engaged in driver and delivery roles, representing nearly 4% of the national workforce. Despite its expansion, the gig economy encounters significant challenges, including income instability, insufficient benefits, and regulatory hurdles that often exclude workers from traditional labor rights. Decentralized technologies like blockchain present transformative potential by enhancing transaction transparency and security. Decentralized Autonomous Organizations (DAOs) emerge as a pioneering organizational model, encoding rules within computer programs to ensure democratic member participation, mainly using blockchain. The Drife case in India exemplifies this model within the transportation market, allowing drivers a voice in decision-making and profit-sharing, offering a fairer alternative to conventional ridesharing systems. This article proposes an organizational framework enabling gig economy participants to leverage historical benefits and contemporary advancements in technology and finance. Utilizing theories such as Transaction Cost Economics, Innovation Diffusion Theory, and Decentralized Autonomous Organizations Theory, the research analyzes how traditional advantages can be integrated with modern payment systems and blockchain transparency. The findings aim to support the implementation of a pilot DAO model in São Paulo’s blockchain ecosystem, presenting a sustainable approach to addressing contemporary challenges in the gig economy.