Path analytic investigation of the intention to adopt open government data in Qatar (TAM revisited)

Abstract

Purpose: This study aims to examine the factors that influence end users’ intention to adopt open government data (OGD) portals, envisioning this relationship through a path causal model. Design/methodology/approach: The study surveyed 696 Qataris and 730 white-collar expatriates using a questionnaire. The Kaiser–Meyer–Olkin measure of sample adequacy and Bartlett’s test of sphericity were used to determine the questionnaire’s construct validity. Findings: The multiple regression analysis revealed that previous experience in using OGD portals, perceived usefulness and ease of use of OGD portals, marital status, age and attitude toward using OGD portals significantly predicted the intention to adopt OGD portals. Moreover, age and marital status significantly affected the intention to adopt OGD portals. The outcomes of the path causal model show that the direct effects of each explanatory variable are enhanced by the effects of the other independent variables in the causal model. Practical implications: The study pioneers the application of the Technology Acceptance Model (TAM) to analyze motivating factors for Qatari residents to adopt OGD portals. Using this framework can help policymakers build strategies to boost the use of OGD portals in Qatar. Originality/value: To the best of the authors’ knowledge, the TAM has never been examined in the Qatari setting to analyze the adoption of OGD portals. The present study fills knowledge gaps about and offers a clearer understanding of the elements influencing the adoption of OGD portals.