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Fatores que afetam a adoção de análises de Big Data em empresas

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  • Cabrera-Sánchez, Juan-Pedro
  • Villarejo-Ramos, Ángel F.

Abstract

With the total quantity of data doubling every two years, the low price of computing and data storage, make Big Data analytics (BDA) adoption desirable for companies, as a tool to get competitive advantage. Given the availability of free software, why have some companies failed to adopt these techniques? To answer this question, we extend the unified theory of technology adoption and use of technology model (UTAUT) adapted for the BDA context, adding two variables: resistance to use and perceived risk. We used the level of implementation of these techniques to divide companies into users and non-users of BDA. The structural models were evaluated by partial least squares (PLS). The results show the importance of good infrastructure exceeds the difficulties companies face in implementing it. While companies planning to use Big Data expect strong results, current users are more skeptical about its performance.

Suggested Citation

  • Cabrera-Sánchez, Juan-Pedro & Villarejo-Ramos, Ángel F., 2019. "Fatores que afetam a adoção de análises de Big Data em empresas," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 59(6), December.
    • Handle: RePEc:fgv:eaerae:v:59:y:2019:i:6:a:80775
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