智能技术赋能老年社区治理的生成逻辑及实践路径——基于TPOE框架的扎根理论研究
Generative Logic and Practical Paths of Smart Technology Empowering Elderly Community Governance—A Grounded Theory Study Based on the TPOE Framework
DOI: 10.12677/ar.2026.134202, PDF,   
作者: 程子函:南京邮电大学社会与人口学院、社会工作学院,江苏 南京;陆潭晟*:南京邮电大学通达学院,江苏 扬州
关键词: 智能技术老年社区治理TPOE框架扎根理论协同治理Smart Technology Elderly Community Governance TPOE Framework Grounded Theory Collaborative Governance
摘要: 在积极老龄化与数字化转型的双重背景下,探究智能技术如何有效赋能老年社区治理已成为一项关键议题。本研究采用扎根理论方法,通过对20位社区治理多元主体的深度访谈,经由三级编码,构建整合性的TPOE理论模型。研究发现:技术调节(T)构成基础驱动力,通过平台嵌入与数据驱动决策重塑治理结构;过程调适(P)作为核心转化机制,依托服务流程敏捷化与风险韧性体系实现技术势能向治理效能的转化;主体适度(O)是关键支撑,通过核心组织引领与多元协同促成人机互构与角色转型;环境适应(E)则提供生态保障,经由数字包容性建设与制度资源供给维系系统可持续运行。继而指出,智能技术赋能老年社区治理的本质,是一个技术、流程、主体与环境四维要素协同演进、动态互构的系统性重构过程。基于此,研究从夯实技术底座、重塑敏捷流程、赋能多元主体及优化包容环境四个维度提出对策建议。
Abstract: Against the dual backdrop of active aging and digital transformation, exploring how intelligent technologies can effectively empower community governance for older adults has become a critical research agenda. Drawing on grounded theory methodology, this study conducts in-depth interviews with 20 diverse stakeholders involved in community governance and develops an integrative TPOE theoretical model through three levels of coding. The findings reveal that: Technological Modulation (T) serves as the foundational driver, reshaping governance structures through platform integration and data-driven decision-making; Process Adaptation (P) functions as the core transformative mechanism, converting technological potential into governance efficacy via agile service processes and a resilient risk-management system; Actor Appropriateness (O) constitutes the pivotal support, facilitating human-machine co-constitution and role transformation through core organization guidance and multi-stakeholder collaboration; and Environmental Accommodation (E) provides ecological safeguards by advancing digital inclusivity and institutional resource provisioning to sustain systemic operation. The study further argues that the essence of intelligent technology-enabled community governance for older adults lies in a systemic reconfiguration process characterized by the synergistic evolution and dynamic co-constitution of four interdependent dimensions: technology, process, actors, and environment. Based on this understanding, the research proposes targeted policy recommendations across four dimensions: strengthening the technological infrastructure, redesigning agile processes, empowering diverse actors, and cultivating an inclusive environment.
文章引用:程子函, 陆潭晟. 智能技术赋能老年社区治理的生成逻辑及实践路径——基于TPOE框架的扎根理论研究[J]. 老龄化研究, 2026, 13(4): 628-638. https://doi.org/10.12677/ar.2026.134202

参考文献

[1] 李博, 范成文, 钟丽萍, 曹雷. 积极老龄化视域下体育服务适老化改造路径研究[J/OL]. 体育教育学刊, 1-12. https://www.chndoi.org/Resolution/Handler?doi=10.16419/j.cnki.42-1684/g8.20251016.001, 2025-10-17.[CrossRef
[2] 刘振国. 推进实施积极应对人口老龄化国家战略[J]. 中国民政, 2025(12): 13-15.
[3] 中共中央国务院印发《数字中国建设整体布局规划》[J]. 国家图书馆学刊, 2023, 32(2): 69.
[4] 时泽信. 智慧社区时代城市基层治理路径研究[J]. 管理科学与工程, 2024, 13(5): 904-913.
[5] 程梦瑶, 郑霖豪. 新质生产力赋能现代化人民城市建设: 逻辑与实践[J]. 郑州大学学报(哲学社会科学版), 2025, 58(6): 87-94+171-172.
[6] Mestheneos, E. and Gheno, I. (2019) Reflections on Older People in Relation to ICT-AI. In: Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health, SciTePress, 7-12. [Google Scholar] [CrossRef
[7] Chen, Y.S., Liu, L.J., Wu, Q.Z. and Yang, C. (2025) Proactive and Adaptive Elderly-Centered Governance Framework through Synergistic Integration of the Internet of Things and Multi-Agent Systems. Sensors and Materials, 37, 2431-2446. [Google Scholar] [CrossRef
[8] Habibovic, I., Almisreb, A., Hodzic, M., Turaev, S. and Cantelli-Forti, A. (2025) Machine Learning Algorithms and Sensor Technologies for Aging-in-Place Applications: A Review. IEEE Sensors Journal, 25, 34326-34347. [Google Scholar] [CrossRef
[9] 贺晓迎, 翟绍果. 多维嵌入视角下新质生产力赋能社区健康照护服务的机制与路径[J]. 西安财经大学学报, 2026, 39(1): 101-111.
[10] 宁学斯, 张成岗. 社区居家智慧养老服务评价体系构建、模式划分和综合评估[J/OL]. 电子政务, 1-14.
https://kns.cnki.net/kcms2/article/abstract?v=H8HwaL3t0As3JlgSm-45mLIebLAOFyf3JXRZX-8p_hPgAaiVL41CShR80WzXaDHNMazDt-xstI9aG_V9Vh3OFLRmCcEz8E_DChazZE2pom8_giARQtupKWtM5Hnei05BW6BjqXfJr11F7JYyTf_WIJeUzvcKWFy8oUYzWt0VBjA=&uniplatform=NZKPT&language=CHS, 2026-04-21.
[11] 朱晓. 数字赋能居家社区机构养老服务“三位一体”融合发展研究[J]. 老龄化研究, 2024, 11(6): 2946-2954.
[12] 王璐, 董直庆. 打造智能经济新形态: 人工智能赋能企业成长的理论框架与实践路径[J/OL]. 学术交流, 1-18.
https://link.cnki.net/urlid/23.1048.C.20260403.1647.004, 2026-04-21.
[13] 沈永东, 赖艺轩. 撬动资源、凝聚共识与形成规范: 数字赋能社会组织提升社区治理的机制研究[J]. 中国行政管理, 2023, 39(4): 22-29.
[14] 王洛忠, 李芸慧. 数智社工赋能社区公共服务供给: 角色、逻辑与优化[J]. 北京行政学院学报, 2025(4): 55-64.
[15] 王梦真. 积极老龄化视角下老年教育赋能社区治理的逻辑理路与实践进路[J]. 老龄化研究, 2025, 12(6): 589-594.
[16] Xu, W., Zhu, J., Xi, W. and Cui, J. (2025) Creating Age-Friendly Environments in a Smart Society in China: A Policy Review. Journal of Aging & Social Policy, 37, 216-235. [Google Scholar] [CrossRef] [PubMed]
[17] 蒋其琴, 于维辕. 人工智能赋能基层社会治理的风险审视与应对策略[J]. 江苏大学学报(社会科学版), 2026, 28(1): 69-80.
[18] 张艳国, 陆嘉豪. 智能化赋能社区治理的要素、原则与实现路径[J]. 江西师范大学学报(哲学社会科学版), 2025, 58(2): 74-86.
[19] 姜晓萍, 杨舒雯. 技术价值互构: 数智赋能城市社区公共服务均衡可及的生成机理[J]. 四川大学学报(哲学社会科学版), 2025(2): 65-73+231-232.
[20] Tornatzky, L.G. and Fleischer, M. (1990) The Processes of Technological Innovation. Lexington Books.
[21] 张成岗, 宁学斯. 基层社区智慧养老的生成逻辑及实践路径——基于TOE框架的案例探索[J]. 公共管理学报, 2025, 22(3): 89-101+171.