Open Government: Policies, Practices, Challenges, and Impacts
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Item Understanding Reasons Why Companies Do Not Use Open Government Data: Focusing on the Social Representations Theory(2025-01-07) Park, Sujin; Park, JonghwaIn the modern era, data is recognized as a critical resource for economic and societal development. Open Government Data (OGD) is a concept gaining global attention, with many countries advocating for its use to enhance transparency, innovation, and economic growth. Despite the proactive OGD policies and achievements of various governments, the utilization rate among companies worldwide remains low. This study explores the reasons behind this underutilization by comparing the perspectives of key stakeholders—governments and companies. Utilizing Social Representations Theory, the research analyzes news articles to reveal companies' perceptions and reasons for not using OGD. The study identifies 15 conceptual elements and highlights differences in stakeholder structures. By understanding the views of both governments and companies, the research uncovers barriers to OGD utilization and proposes solutions to enhance policy implementation, business uptake, and economic progress.Item Factors Influencing the Use of Open Government Data: A Scoping Literature Review(2025-01-07) Rau, Richard; Glaser, Karoline; Wiener, MartinOpen government data (OGD) describes public data made available online for free use, reuse, and sharing to improve transparency, service delivery, and participatory governance. While OGD has been expected to enhance democratic engagement and economic development, its actual impact has fallen short in terms of value creation. This can be primarily attributed to the still limited use of OGD. Against this background, we conduct a scoping literature review to identify factors that drive or hinder OGD use, thereby differentiating between three use purposes (transparency/accountability, participation, and collaboration) and three types of OGD use (initial use, reuse, and deep use). Our results show that factors influencing OGD use differ considerably across use purposes and types. For example, awareness affects initial use, while high usability drives reuse. Based on our findings, we outline some future research directions on OGD use, which is a necessary requirement for value creation through such data.Item Artificial Intelligence as a Catalyzer for Open Government Data Ecosystems: A Typological Theory Approach(2025-01-07) Simonofski, Anthony; Nikiforova, Anastasija; Lnenicka, Martin; Bono Rossello, NicolasArtificial Intelligence (AI) within digital government has witnessed growing interest as it can improve governance processes and stimulate citizen engagement. Despite the rise of Generative AI, discussions on AI fusion with Open Government Data (OGD) remain limited to specific implementations and scattered across disciplines. Drawing from the synthesis of the literature through a systematic review, this study examines and structures how AI can enrich OGD initiatives. Employing a typological approach, ideal profiles of AI application within the OGD lifecycle are formalized, capturing varied roles across the portal and ecosystems perspectives. The resulting conceptual framework identifies eight ideal types of AI applications for OGD: AI as Portal Curator, Explorer, Linker, and Monitor, and AI as Ecosystem Data Retriever, Connecter, Value Developer and Engager. This theoretical foundation shows the under-investigation of some types and will inform policymakers, practitioners, and researchers in leveraging AI to cultivate OGD ecosystems.Item Introduction to the Minitrack on Open Government: Policies, Practices, Challenges, and Impacts(2025-01-07) Otim, Samuel; Scholl, Hans Jochen; Schaupp, Ludwig