The Moderating Effect of Gender and Academic Background in Open Government Data (OGD) User Adoption and Usage

The present research seeks to rest its edifice on the proposition that the role of gender and academic background of a user in terms of the technical/liberal/hospitality and care domain impinges upon the Open Government Data (OGD) adoption and usage. Specifically, the adapted Unified Theory of Acceptance and Use of Technology (UTAUT) model is being deployed to empirically validate how the OGD usage and adoption vary among the 313 respondents in a leading private university in India in line with their academic background and gender. Findings from the study via Partial Least Squares-Structural Equation Modelling (PLS-SEM) show that academic background and gender are moderating Behavioural Intention to use and adopt OGD through Performance Expectancy, Facilitating Conditions, Data Quality, System Quality, Information Quality and Trust, whilst the Multi-Group Analysis (MGA) shows that there are differences between the technical and liberal/hospitality and care cohorts in terms of their gender vis-a-vis Voluntariness of Use and System Quality vis-a-via the Behavioural Intention to adopt and use OGD.