Study on the Precision Supply Mechanism of Smart Community Elderly Care Services Empowered by Digital Technology

Yangfang Fu

doi:10.62051/ijsspa.v7n3.12

Authors

Yangfang Fu

DOI:

https://doi.org/10.62051/ijsspa.v7n3.12

Keywords:

Digital Technology, Smart Community, Elderly Care Services, Precision Supply

Abstract

The empowerment of digital technology injects new momentum into the digital supply of smart community elderly care services and facilitates the deep restructuring of service scenarios, technological embedding, and governance frameworks. The precision supply of smart community elderly care services enabled by digital technology follows a practical logic centered on "technology embedding-platform-based decision-making-data-driven operation-collaborative co-governance." The realization of such precision supply depends on the synergistic support among multiple elements, including governance coordination capacity, data resource foundations, user adaptability, scenario application infrastructure, and institutional safeguards. To enhance the effectiveness of digitally empowered precision supply in smart community elderly care, it is essential to continuously improve the mechanisms for collaborative governance, data governance, technological empowerment, integrative participation, and evaluative feedback.

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References

[1] Gong Zheng. Fully Practicing the Key Concept of the People’s City to Build a New System of Smart and Efficient Governance for Mega Cities [J]. Party Building Research, 2024(11): 8–10.

[2] Liu Zhenguo. Key Measures for Actively Responding to the National Strategy of Population Aging [J]. Red Flag Manuscript, 2024(19): 9–12.

[3] Du Chunlin, Zang Luheng. From “Fragmented Operations” to “Holistic Governance”: A Study on Innovative Pathways for Smart Elderly Care Service Provision [J]. Study and Practice, 2020(7): 92–101.

[4] Chen Li, Wei Jiansong. Digital Technology Empowering Precision Supply of Community Public Services: Key Elements, Practical Constraints, and Optimization Paths [J]. Journal of Nanchang Normal University, 2025, 46(2): 129–135.

[5] Sun Qing, Hao Gang, Ding Yingying. Digital Platforms Driving Structural Optimization of Smart Elderly Care Service Supply: A Game-Theoretical Analysis from the Perspective of Value Co-Creation Theory [J]. Commercial Research, 2023(3): 58–69.

[6] Lu Yingchun, Xu Yumei. Technical Services: Innovation in Data-Driven Models for Elderly Care Service Provision [J]. Administrative Forum, 2020, 27(3): 143–148.

[7] Shanghai’s “One Network Unified Governance” Creating a New Model of Platform Governance in the Digital Era [EB/OL]. https://zwdsj.anyang.gov.cn/2021/10-15/2249069.html

[8] Xu Xiaoling. The Core Driving Logic and Policy Implications of Age-Friendly Community Policies: A Grounded Theory-Based Analysis of Policy Texts [J]. Lanzhou Academic Journal, 2023(10): 112–122.

[9] Chen Si, Li Jinhao, Zhao Yuxiang, Zhu Qinghua. The “Data Factor ×” Effect in the Digital-Intelligent Transformation of Smart Elderly Care Services: Features, Connotations, and Pathways [J/OL]. Information Theory and Practice, http://kns.cnki.net/kcms/detail/11.1762.G3.20250401.1640.002.

[10] Zuo Meiyun, Duan Ruirui, Lin Lin. Research on the Data Resource Governance System for Smart Elderly Care: Based on the Perspective of Activity Theory [J]. Journal of Xi’an Jiaotong University (Social Science Edition), 2024, 44(3): 40–51.