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

Rima Charbaji El-Kassem (Social and Economic Survey Research Institute, Qatar University, Doha, Qatar)
Ali Al-Kubaisi (Social and Economic Survey Research Institute, Qatar University, Doha, Qatar)

Transforming Government: People, Process and Policy

ISSN: 1750-6166

Article publication date: 5 September 2023

Issue publication date: 13 November 2023

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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.

Keywords

Acknowledgements

The researchers would like to express their gratitude to Prof. Kaltham Al Ghanim, Dr Noora Lari, Mr John Lee Holmes, Ms Maitha Al Naimi, Ms Aisha Al Hamadi, Mr Fahad Al Boinin and Ms Maryam Fahad Al Thani for their generous contribution of time through the project. This project was funded by the Social and Economic Survey Research Institute, Qatar University. The researchers would also like to express their sincere gratitude to the anonymous reviewers at the Transforming Government: People, Process and Policy Journal for their insightful comments and feedback. Their insightful comments had a significant impact on the quality and clarity of this manuscript, and the researchers are deeply grateful for their time and effort in reviewing it.

Citation

El-Kassem, R.C. and Al-Kubaisi, A. (2023), "Path analytic investigation of the intention to adopt open government data in Qatar (TAM revisited)", Transforming Government: People, Process and Policy, Vol. 17 No. 4, pp. 575-589. https://doi.org/10.1108/TG-06-2023-0074

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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