信息资源管理学报 ›› 2025, Vol. 15 ›› Issue (6): 112-128.doi: 10.13365/j.jirm.2025.06.112

• 研究论文 • 上一篇    下一篇

企业参与国家智慧养老数据资源体系建设意愿的影响因素研究

孙士伟 洪恩琪 颜志军   

  1. 北京理工大学管理学院,北京,100081
  • 出版日期:2025-11-26 发布日期:2026-01-06
  • 作者简介:孙士伟,博士,长聘副教授/研究员,博士生导师,研究方向为智慧健康与智慧养老,电子商务,技术创新管理;洪恩琪,硕士研究生,研究方向为智慧养老;颜志军(通讯作者),博士,教授,博士生导师,研究方向为智慧健康与智慧医疗,Email:yanzhijun@bit.edu.cn。
  • 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”(22&ZD328)研究成果之一。

Study on Factors Influencing the Enterprises’ Participation Intention in the Construction of the National Smart Elderly Care Data Resource System

Sun Shiwei Ang Enqi Yan Zhijun   

  1. School of Management, Beijing Institute of Technology, Beijing, 100081
  • Online:2025-11-26 Published:2026-01-06
  • About author:Sun Shiwei, Ph.D., tenured associate professor/research fellow, Ph.D. supervisor, research interests including smart health and smart elderly care, e-commerce, and technology innovation management; Ang Enqi, master candidate, research interests including smart elderly care; Yan Zhijun(corresponding author), Ph.D., professor, Ph.D. supervisor, research interests including smart health and smart healthcare, Email: yanzhijun@bit.edu.cn.
  • Supported by:
    This study is supported by the Major Project of National Social Science Fund "Research on the Construction of a Smart Elderly Care Data Resource System for a Healthy China Strategy"(22&ZD328).

摘要: 针对当前智慧养老企业参与数据资源体系建设动机研究上的不足,采用扎根理论和实证分析相结合的方法,首先通过定性分析方法识别影响智慧养老企业参与国家数据资源体系建设的主要因素,其次采用回归分析的方法进一步验证以上因素对企业参与意愿的影响。研究结果显示,数据资源体系的认知水平、技术安全性、企业高层管理支持、组织准备对企业参与意愿有显著正向影响,同时政府支持、社会转型认知对这一过程产生了调节效应。本研究填补了基于企业作为参与主体构建智慧养老数据资源体系建设的理论空白,可为未来智慧养老数据资源体系的研究提供理论支持,也可为国家提高企业参与智慧养老数据资源体系建设的积极性提供重要参考。

关键词: 智慧养老, 数据资源体系, 企业参与意愿, 扎根理论, TOE理论

Abstract: To address the current insufficiency in the study of the motives of smart elderly care enterprises to participate in the construction of the national data resource system, this study adopts a combination of grounded theory and empirical analysis. Firstly, it identifies the main factors influencing the participation of smart elderly care enterprises in the construction of the national data resource system through qualitative analysis methods. Secondly, it uses regression analysis to further verify the impact of these factors on the participation motives of enterprises. The research results show that the cognitive level of the data resource system, technical security, support from top management of enterprises, and organizational readiness have a significant positive impact on the participation willingness of enterprises. At the same time, government support and the perception of social transformation have a moderating effect on this process. This paper fills the theoretical gap in the construction of smart elderly care data resource systems based on enterprises as the participating subjects, provides inspiration for future research on smart elderly care data resource systems, and also offers important references for the country to enhance the enthusiasm of enterprises to participate in the construction of the smart elderly care data resource system.

Key words: Smart elderly care, Data resources system, Enterprises’ participation intention, Grounded theory, TOE theory

中图分类号: