The Adoption Dilemma: Unlocking the Potential of Open Government Data in Developing Countries

Rose Tinabo; Herman Mandari

Abstract

Open Government Data (OGD) initiatives have become increasingly crucial for promoting transparency, increasing efficiency, and encouraging citizen engagement in public administration. However, organisations' successful adoption of OGD, especially government agencies, depends on various factors. The Unified Theory of Acceptance and Use of Technology (UTAUT) model is expanded in this study by including perceived risk as a crucial factor influencing OGD uptake in Tanzania.. Recognising that data accuracy, privacy, and security concerns can hinder user engagement, the study explores how perceived risk interacts with the original UTAUT dimensions: performance expectancy, effort expectancy, social influence, and facilitating conditions. Using a quantitative methods approach, the study surveyed a diverse sample of potential OGD users. The analysis reveals that perceived risk positively correlates with behavioural intentions toward OGD adoption. This implies that addressing perceived risk is essential for enhancing OGD adoption strategies, particularly in this field where security and privacy concerns are paramount. This study contributes to the existing body of knowledge by providing practical insights for developers, practitioners, and policymakers aiming to facilitate user engagement in an increasingly OGD adoption. Employing a quantitative research methodology, this study surveyed a diverse sample of potential OGD users, including public administrators, private sector representatives, and citizens. Statistical analysis revealed that perceived risk has a significant positive correlation with behavioural intentions to adopt OGD. Notably, concerns about data misuse, privacy breaches, and inaccuracies emerged as critical factors influencing trust and confidence in OGD systems. The findings underscore the importance of addressing perceived risk to enhance OGD adoption strategies, particularly in contexts where security and privacy concerns are paramount