Purpose – Although there is much research about Open Government Data (OGD), comprehensive evaluations of OGD policy impacts remain sparse. This study addresses this gap by empirically examining the alignment between OGD policy objectives and real-world outcomes across 337 Chinese municipalities. Design/methodology/approach – A typology of OGD policy objectives is developed and used to evaluate OGD policies and their impact in different geographical regions. Findings – The analysis revealed a hierarchy of outcomes where “technical support” goals yield higher impacts than “innovative value”, whereas the latter is often the goal of OGD initiatives. Regional disparities also emerge, with Eastern cities outperforming traditional industrial areas. Originality/value – These findings underscore that policy design does not guarantee expected outcomes, especially under varying regional contexts. Policy-makers should better address local characteristics and develop targeted policy strategies and effective resource allocation.

The application of governmental resources for OGD and citizen engagement is often assumed to be interdependent, yet empirical investigation has been lacking. This study examines the reciprocal influence between the use of resources and OGD by quantifying both government resources and citizen engagement within the framework of resource-based theory. The significance of these metrics is determined using the entropy method. Data from 337 Chinese municipalities was gathered to explore the dependency between government resources and citizen engagement in OGD. The findings reveal that while there is a robust interaction between governmental resources and citizen engagement in OGD across 337 Chinese municipalities, the coordination between these elements is generally low, with most areas showing a coordination degree below 0.3. This discrepancy indicates a lack of alignment in the effective use of resources for public engagement. Cities on the eastern coast display moderately better coordination, which can be attributed to their advanced economies and infrastructure. Conversely, regions with lower coordination degrees highlight the urgent need for developing policy interventions to improve the synergy between OGD and citizen engagement.

Video-Based Design (VBD) is a design methodology that utilizes video as a primary tool for understanding user interactions, prototyping, and conducting research to enhance the design process. Artificial Intelligence (AI) can be instrumental in video-based design by analyzing and interpreting visual data from videos to enhance user interaction, automate design processes, and improve product functionality. In this study, we explore how AI can enhance professional video-based design with a State-of-the-Art (SOTA) deep learning model. We developed a prototype annotation platform (MarkupLens) and conducted a between-subjects eye-tracking study with 36 designers, annotating videos with three levels of AI assistance. Our findings indicate that MarkupLens improved design annotation quality and productivity. Additionally, it reduced the cognitive load that designers exhibited and enhanced their User Experience (UX). We believe that designer-AI collaboration can greatly enhance the process of eliciting insights in video-based design.

Government resources used for opening data and citizen engagement with open government data (OGD) are expected to have a mutual influence, but this has not been empirically investigated. Therefore, this paper investigates this mutual relationship by measuring both governmental resources and citizen engagement based on resource-based theory. The weight of their measurements is evaluated by the entropy method. Data was collected from 337 Chinese municipal governments to investigate whether governmental resources and citizen engagement with OGD are dependent. The findings by a coupling coordinated model and regression analysis revelated that: Although governmental resources and citizen engagement with OGD have a strong interaction, the coordination between them is low. An explanation for this is that the development of citizen engagement with OGD lags behind the deployment of governmental resources in most Chinese cities.