Determinants of Big Data adoption in financial organizations: Case of banks and insurance companies

Abstract

Data is at the heart of the digital evolution and the role of Big Data is becoming more and more essential. As such, Big Data is gaining traction in almost every industry and has the potential to transform not only the business world but also society as a whole. This study aims to identify the drivers of Big Data adoption in financial organizations, particularly banks and insurance companies. To do so, a questionnaire survey was used to collect data from organizations in the banking and insurance sectors in Morocco. These data, 82 questionnaires, were analyzed using the structural equation method PLS approach. The results revealed that the following factors are important for both sectors: relative advantage, management support and competitive pressure. In contrast, complexity, compatibility, and organizational readiness had no effect on Big Data adoption in financial organizations.

JEL Classification : G20, O39.

Paper type: Empirical research.