Effects of Predictors of Citizens' Attitudes and Intention to Use Open Government Data and Government 2.0

Abstract

This research proposes a holistic and integrative theoretical model to discuss the effects of eight predictors of citizens' attitudes towards open government and Government 2.0, and whether these attitudes influence their intention to use open government data in Brazil, one of the founding countries of the Open Government Partnership (OGP). Findings show the effects of six predictors of citizens' attitudes towards open government and government 2.0. In essence, these predictors are ease of use, usefulness, intrinsic motivation, political satisfaction, government trust, and intensity of internet use. This study also indicates that education, income, and region influence the ease of use and usefulness of open data. These findings also mean that public managers and political parties still have “homework’ to do to stimulate citizens' behavior towards open government and government 2.0. These initiatives encompass the government portals quality and data transparency improvement through less restrictive laws. Also, improve politicians' job performance.