理论研究

我国智慧养老平台服务生态系统的数据资源需求模型构建研究

  • 刘天畅 ,
  • 王艺璇 ,
  • 张晓宇 ,
  • 宋小康 ,
  • 朱庆华
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  • 1 南京大学信息管理学院 南京 210023;
    2 徐州医科大学管理学院 徐州 221004
刘天畅,博士研究生;王艺璇,硕士研究生;张晓宇,硕士研究生;宋小康,讲师,博士,通信作者,E-mail:sxksxk666@163.com;朱庆华,教授,博士,博士生导师。

收稿日期: 2024-01-02

  修回日期: 2024-02-23

  网络出版日期: 2024-08-24

基金资助

本文系国家社会科学基金重大项目“面向健康中国战略的智慧养老数据资源体系建设研究”(项目编号:22&ZD327)和国家自然科学基金青年项目“在线健康信息替代搜寻对老年人健康素养的影响及作用机制研究”(项目编号:72204210)研究成果之一。

Research on the Construction of the Data Resource Demand Model for the Service Ecosystem of China’s Smart Aging Service Platform

  • Liu Tianchang ,
  • Wang Yixuan ,
  • Zhang Xiaoyu ,
  • Song Xiaokang ,
  • Zhu Qinghua
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  • 1 School of Information Management, Nanjing University, Nanjing 210023;
    2 School of Management, Xuzhou Medical University, Xuzhou 221004

Received date: 2024-01-02

  Revised date: 2024-02-23

  Online published: 2024-08-24

Supported by

This work is supported by the major program of National Social Science Fund of China titled “Research on the Construction of Data Resources Framework for the Smart Ageing in Healthy China Initiatives” (Grant No. 22&ZD327) and the youth project of National Natural Science Foundation of China titled “Research on the Influence and Mechanism of Online Surrogate Health Information Seeking on the Health Literacy of the Elderly” (Grant No. 72204210).

摘要

[目的/意义] 分析我国智慧养老综合服务平台建设涉及的主体和每个主体涉及的数据资源主题,构建智慧养老综合服务平台数据资源需求模型,为智慧养老数据标准建设和数据管护提供数据基础和理论参考。[方法/过程] 采集全国各地109份智慧养老综合服务平台招标文件,首先使用内容分析法从行动者网络视角对平台不同主体的数据需求和数据来源进行编码分析,然后利用Gephi对每个主体的编码结果进行共现聚类,识别主题,并使用TF-IDF和Word2vec算法计算不同主体数据资源主题词的语义相似度,最后基于服务生态系统理论构建数据资源需求模型。[结果/结论] 最终识别出智慧养老综合服务平台的11个行动者,包括8个人类行动者和3个非人类行动者。构建的数据资源需求模型从宏观、中观、微观3个层面展示了各主体涉及的主要数据主题以及不同主体间的数据流通和协作关系。

本文引用格式

刘天畅 , 王艺璇 , 张晓宇 , 宋小康 , 朱庆华 . 我国智慧养老平台服务生态系统的数据资源需求模型构建研究[J]. 图书情报工作, 2024 , 68(16) : 3 -16 . DOI: 10.13266/j.issn.0252-3116.2024.16.001

Abstract

[Purpose/Significance] This paper analyzes the entities involved in the construction of China’s smart aging service platform and the theme of data resources related to each entity, builds the data resource demand model of smart aging service platform, and provides data basis and theoretical reference for the smart aging data standards construction and data management. [Method/Process] This study collected 109 bidding documents of smart aging service platforms across the country. First, it conducted content analysis to code and analyzed the data demands and data sources of different platform entities from the perspective of actor networks. Then, it used Gephi to cluster the coding results of each entity to identify themes, and used TF-IDF and Word2vec algorithms to calculate the semantic similarity of data resource theme words for different entities. Finally, it constructed the data resource demand model based on the service ecosystem theory. [Result/Conclusion] This study identifies 11 actors in the smart aging service platform, including 8 human actors and 3 non-human actors. The constructed data resource demand model shows the main data themes involved by each entity and the data flow and collaboration between different entities from the macro, meso and micro levels.

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