A Model of Big Data-Based Governance: China’s National Government Big Data Platform and an Analysis of Its Governance Competence

Chinese Political Science Review, Год журнала: 2025, Номер unknown

Опубликована: Фев. 20, 2025

Язык: Английский

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China’s Data Sovereignty and Security: Implications for Global Digital Borders and Governance

Chinese Political Science Review, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 7, 2024

Язык: Английский

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Administrative Burden Reduction in Chinese Digital Government: Are Bureaucratic Training and Platform Optimization Effective?

Chinese Political Science Review, Год журнала: 2025, Номер unknown

Опубликована: Янв. 8, 2025

Язык: Английский

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Party-Led Digitalization: The CCP’s Role in Steering China’s E-Government Transformation

Chinese Political Science Review, Год журнала: 2025, Номер unknown

Опубликована: Янв. 11, 2025

Язык: Английский

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Understanding Older Adults’ Intention to Adopt Digital Leisure Services: The Role of Psychosocial Factors and AI-Based Prediction Models

Healthcare, Год журнала: 2025, Номер 13(7), С. 785 - 785

Опубликована: Апрель 1, 2025

Background/Objective: As the global aging population grows, digital leisure services have emerged as a potential solution to improve older adults' social engagement, cognitive stimulation, and overall well-being. However, their adoption remains limited because of literacy gaps, psychological barriers, varying levels adaptability. This study aims analyze predict intention adopt by integrating psychosocial factors, demographic characteristics, adaptability using artificial intelligence (AI)-based predictive models. Methods: utilized data from 2022 Urban Policy Indicator Survey conducted in Seoul, South Korea, selecting 2239 individuals aged 50 years above. A two-step clustering approach was employed: hierarchical estimated optimal number clusters, K-means finalized segmentation. An neural network (ANN) model applied likelihood incorporating variables. Logistic regression used for validation, performance assessed through accuracy, precision, recall, F1-score. Results: Four distinct clusters were identified based on media engagement. Cluster 3 (highly educated males 60s with family support) showed highest probability (84.35%) despite low 4 (older women high usage) exhibited lower structured services. The ANN achieved an classification accuracy 85.2%, highlighting key determinant adoption. Conclusions: These findings underscore need targeted policy interventions, including tailored education programs, intergenerational training, simplified platform designs enhance accessibility. Future research should further explore factors influencing validate AI-based predictions real-world behavioral data.

Язык: Английский

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Designing service blueprint for chatbots: experimental evidence on public preference for design components

Journal of Chinese Governance, Год журнала: 2025, Номер unknown, С. 1 - 28

Опубликована: Апрель 4, 2025

Язык: Английский

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Debating China’s common prosperity with evidence from policy practice

Journal of Chinese Governance, Год журнала: 2025, Номер unknown, С. 1 - 21

Опубликована: Апрель 7, 2025

Язык: Английский

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The Impact of Digital Governance Efficiency on Regional Social Capital: A Panel Data Analysis of 21 Cities in Guangdong Province, China

Journal of Chinese Political Science, Год журнала: 2025, Номер unknown

Опубликована: Апрель 7, 2025

Язык: Английский

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The Impact of Digital Village Development on Rural Women's Participation in Village Governance in China

Chinese Political Science Review, Год журнала: 2025, Номер unknown

Опубликована: Апрель 29, 2025

Язык: Английский

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Chinese Investment and Africa's Digital Leap: A New Era of Economic Growth

Chinese Political Science Review, Год журнала: 2024, Номер unknown

Опубликована: Дек. 28, 2024

Язык: Английский

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