Factors affecting the adoption of Big Data analytics in companies

• Autor(a) principal: Cabrera-Sánchez, Juan-Pedro
• Data de Publicação: 2019
• Outros Autores: Villarejo-Ramos, Ángel F.
• Tipo de documento: Artigo
• Idioma: eng; por
• Título da fonte: Revista de Administração de Empresas
• Texto Completo: https://bibliotecadigital.fgv.br/ojs/index.php/rae/article/view/80775
• topic: Big Data; intention behavior; unified theory of acceptance and use of technology; resistance to use; perceived risk; Big Data; intenção de usar; teoria unificada de adoção e uso de tecnologia; resistência ao uso; risco percebido.

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.