Big Data Analytics in Government Organizations in an Emerging Economy

The literature on the diffusion of analytical big data rarely provides empirical evidence in government institutions in emerging economies. In this article, we test a research framework capable of capturing the barriers related to the adoption of analytical big data in government institutions in Brazil. Using a survey, primary survey-based data was collected from different IT professionals in Federal Public Institutions, etc. The results of our survey cover both expected and unexpected results: (i) unexpectedly, in this survey, dynamic digital capabilities are the most prominent barriers; (ii) intangible analytical capabilities do not represent a substantial barrier; and (iii) the adoption of analytical big data by Brazilian federal government institutions does not hamper the analytical capabilities of big data and digital dynamic capabilities, but motivated by other factors to be investigated. This study is original and makes contributions to the theory and practice of management.