Carr, LeslieRyan, MatthewAlhujaylan, Abdullah Sulaiman2025-07-292024-08https://hdl.handle.net/20.500.14154/75998Governments worldwide are increasingly riding the wave of the OGD (OGD) initiative, in which governments share their data freely to be used and reused by various stakeholders to stimulate innovation and economic growth, as well as promote transparency and accountability. Private technology organisations are considered to be key players in the OGD ecosystem. Therefore, governments globally endeavour to encourage these organisations to adopt OGD to develop new social and economic benefits through innovative products and services. However, adopting OGD is not an easy process because it relies on several factors. This research aims to investigate factors that may influence the decision of an organisation to adopt OGD. This research proposes an integrated model to identify and comprehend how certain factors influence private technology organisations' adoption of OGD. A three-staged sequential explanatory mixed-methods design was adopted, guided by a post-positivism paradigm. This study was conducted in three sequential stages, each one based on the prior stage's findings. The first stage was semi-structured interviews with closed- and open-ended questions with fourteen experts to assess the importance of several factors and identify other factors that were not mentioned in previous studies and might affect the adoption of OGD. The second stage of this empirical study was an online questionnaire, which was used to confirm the proposed factors in the OGD adoption model and other factors identified from interviews (data governance and data integration). The third data analysis stage employed qualitative case study methodology to understand better how and why previously examined factors influence private organisations' decisions to adopt OGD. Upon reviewing and analysing Cases (A, B, and C) data on the factors that influence and enable private technology organisations to adopt and use OGD, it was found that all the selected factors constituting the proposed adoption model that were extracted from the relevant literature and those that emerged during the data analysis of the two previous phases of this study were influencing and validating. The findings reveal that technical factors, including providing high-quality API services, data visualisation tools, and mechanisms for integrating Open Government Data (OGD), are essential for the adoption of OGD. Nonetheless, this study indicates that adopting OGD is not exclusively dependent on technical factors; it is also significantly shaped by organisational dynamics and intermediary entities within the OGD ecosystem. The critical role of open data intermediaries, the promotion of a data-driven culture among civil servants in government agencies, and the essential support provided by specialised business incubators and accelerators are all significant factors to consider. Furthermore, the study emphasises the significance of creating a data governance framework and providing efficient, high-quality feedback and communication services to data users. This approach presents opportunities to improve the adoption of open government data within private organisations. The adoption model has evolved iteratively, leading to a mature addition OGD model that is empirically supported by the results of the three-stage data analysis. This model provides a more comprehensive and detailed understanding of the factors influencing the adoption of OGD by private technology organisations. Five significant contributions are made by this research. Firstly, a theoretical enrichment was made by integrating two well-known adoption models and using them as a theoretical basis for this study, namely the IS Success Model and the TOE framework and extending them by adding three factors, which are political leadership, open data intermediaries and business incubators and accelerators. In addition to contributing to expanding theIS success model by adding a new category concerned with data awareness culture. This combination reinforced the comprehension and interpretation of the study’s findings. Secondly, The improved model provided helpful insight into the key factors affecting OGD adoption. Furthermore, it expanded the existing literature by applying these theories to examine the adoption of such data from the standpoint of private technology organisations. Thirdly, the research identified a total of eighteen factors that would increase the likelihood chances of successful adoption of OGD by private technology organisations. Fourth, this is the only study that sheds light on which open datasets private technology organisations in Saudi Arabia context have utilised and which government data these organisations are looking to have published by government entities as open data. Finally, this research is one of the few studies that focused on studying the factors influencing the adoption of private organisations to OGD and is unique in studying the impact of several factors that have not been empirically investigated from the private technology organisations' lens view. It is also the first study in the Saudi context to study private technology organisations that developed commercial technology products using OGD as a primary source.466en-USOpen government dataOpen dataTOEIS SuccessThesis