Determinantes da Intenção de Uso em Plataformas Digitais de Economia Compartilhada

Autores

DOI:

https://doi.org/10.5020/2318-0722.2025.31.e15966

Palavras-chave:

economia compartilhada, confiança na plataforma, intenção de uso, familiaridade, risco percebido

Resumo

Nos últimos anos, a Economia Compartilhada (EC) tem ganhado crescente destaque por representar uma nova forma de consumo que conecta, por meio de plataformas tecnológicas, capacidade ociosa a demandas específicas. O objetivo deste estudo é investigar os efeitos da familiaridade e do risco percebido na relação entre confiança na plataforma e intenção de uso em serviços de Economia Compartilhada (EC). Os dados foram coletados por meio de uma survey, junto a 898 brasileiros, e analisados a partir da modelagem de equações estruturais por mínimos quadrados parciais. A amostra é composta, predominantemente, por respondentes da Região Sul do Brasil e com elevado nível de escolaridade, características que devem ser consideradas na interpretação dos resultados. Os resultados demonstram que a confiança na plataforma influencia de forma positiva a intenção de uso, tanto diretamente quanto por meio da influência mediadora da familiaridade e do risco percebido. Além disso, a familiaridade com a plataforma também foi identificada como um fator positivo para a intenção de uso, enquanto o risco percebido apresentou uma relação negativa. Destaca-se a importância de construir confiança e familiaridade para fomentar o engajamento dos usuários com os serviços de Economia Compartilhada, ao mesmo tempo em que se ressalta o impacto adverso do risco percebido sobre a intenção de uso. Os achados oferecem uma base teórica e empírica para futuras pesquisas e implicações práticas, contribuindo para um melhor entendimento sobre o tema.

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Biografia do Autor

Natália Pavanelo Pivetta, Universidade Federal de Santa Maria, Santa Maria, Rio Grande do Sul, Brasil

Doutora (2019 - 2023), Mestra (2017 - 2019) e Bacharel (2012 - 2016) em Administração pela Universidade Federal de Santa Maria (UFSM). Licenciada pelo Programa Especial de Graduação de Formação de Professores para a Educação Profissional na Universidade Federal de Santa Maria - PEG UFSM (2020 - 2022).

Flavia Luciane Scherer, Universidade Federal de Santa Maria, Santa Maria, Rio Grande do Sul, Brasil

Graduada em Administração pela Universidade Federal de Santa Maria (UFSM), Mestra em Administração pela Universidade Federal de Santa Catarina (UFSC) e Doutora em Administração pela Universidade Federal de Minas Gerais (UFMG). Atualmente é Professora Titular da Universidade Federal de Santa Maria (UFSM).

Maíra Nunes Piveta, Universidade Federal de Santa Maria, Santa Maria, Rio Grande do Sul, Brasil

Doutora e Mestra em Administração pelo Programa de Pós-Graduação em Administração da Universidade Federal de Santa Maria (UFSM). Licenciada pelo Programa Especial de Graduação de Formação de Professores para a Educação Profissional - PEG/UFSM. Bacharel em Administração pela Universidade Federal de Santa Maria (UFSM).

Soraya de Souza Soares, Universidade Federal de Santa Maria, Santa Maria, Rio Grande do Sul, Brasil

Bacharel em Administração pela Universidade Franciscana (UFN). Mestra em Administração na Universidade Federal de Santa Maria (UFSM). Atualmente é Doutoranda em Administração na Universidade Federal de Santa Maria (UFSM), na linha de pesquisa Estratégia em Organizações.

Vinicius Costa Da Silva Zonatto, Universidade Federal de Santa Maria, Santa Maria, Rio Grande do Sul, Brasil

Pós-Doutor em Ciências Contábeis pela Universidade do Vale do Rio dos Sinos. Doutor em Ciências Contábeis e Administração e Mestre em Ciências Contábeis pela Universidade Regional de Blumenau. Graduado em Ciências Contábeis pela Universidade de Passo Fundo. Atualmente é Professor Adjunto da Universidade Federal de Santa Maria.

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Publicado

22.12.2025

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PIVETTA, Natália Pavanelo; SCHERER, Flavia Luciane; PIVETA, Maíra Nunes; SOARES, Soraya de Souza; ZONATTO, Vinicius Costa Da Silva. Determinantes da Intenção de Uso em Plataformas Digitais de Economia Compartilhada. Revista Ciências Administrativas, [S. l.], v. 31, p. 1–18, 2025. DOI: 10.5020/2318-0722.2025.31.e15966. Disponível em: https://ojs.unifor.br/rca/article/view/15966. Acesso em: 15 jul. 2026.

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