O impacto no desempenho financeiro das empresas com a implementação de capacidades de Big Data Analytics: uma visão comparando a percepção dos executivos e a realidade dos números de mercado

• Ano de defesa: 2021
• Autor(a) principal: Schur, Rafael Dan
• Orientador(a): Eid Júnior, William
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Palavras-chave em Português: Ciência de Dados; Capacidades de Big Data Analytics (BDAC); Desempenho empresarial; Modelagem por Equações Estruturais por Mínimos Quadrados Parciais (PLS-SEM)
• Palavras-chave em Inglês: Big Data Analytics (BDA); Data Science; Business performance; Structural Equations Modeling by Partial Least Squares (PLSSEM)
• Link de acesso: https://hdl.handle.net/10438/30360

Managerial activity has always included making decisions and monitoring whether they are being carried out properly. The decision-making process has evolved considerably with the adoption of a wide range of tools originating from the advances in data science, known as Big Data Analytics (BDA). Companies have invested heavily in management, technology and knowledge capabilities, collectively the BDA capabilities (BDAC), needed to successfully implement the BDA, however, there is a question as to whether these investments actually create above-average financial performance when measured through factual financial indicators This research aims to assess the impact on companies financial’ performance with the implementation of BDAC, bringing a comparative view of the executives’ perception and the reality of the market numbers. The result obtained indicates that executives perceive a direct and positive relationship between BDAC and the financial performance of companies. The survey also demonstrated the existence of a direct and positive relationship between BDAC and the company’s productivity, measured through the average annual growth of revenues, however, it did not demonstrate the existence of a direct relationship with other factual indicators of financial performance. These results were obtained with the application of structural equations modeling by partial least squares (PLS-SEM), from the data collected through a primary research with 69 Brazilian companies listed on the São Paulo Stock Exchange (B3) carried out among July and September 2020, complemented with financial performance data for 57 of these companies for the years 2018 and 2019. Among the capabilities that reflect BDAC, human capabilities, related to management capability and knowledge capability, contribute more to obtain superior financial performance. The adoption of these human capabilities, in addition to the technology capability needed to process the BDA, results in productivity gains and creates a positive impact on the financial performance of companies.