| 摘要: |
| 本文梳理我国智慧博物馆的发展特点,探索其发展趋势,为进一步开展智慧博物馆理论研究与实践应用提供参考。在调研中国知网(CNKI)近五年(2020—2024年)相关文献基础上,采用系统文献综述法,从地区特征、类型划分与智慧化功能三个维度对智慧博物馆的研究现状进行归纳分析。研究发现,我国智慧博物馆的实践与研究正处于快速发展阶段,呈现区域集中、案例丰富但理论滞后、功能探索初具规模等特点。未来智慧博物馆的研究应强化理论建构、多元方法融合与跨学科协同；在实践方面应充分了解当前世界博物馆发展概况,把握中国博物馆发展大趋势,借助人工智能、大数据等新科技,助力智慧博物馆的发展。 |
| 关键词: 智慧博物馆 数字化转型 研究特点 发展趋势 Research on Characteristics and Trends in Smart Museum Development over a Five-year Period from 2020 to 2024 Zhao Guoxiang Yue Chang |
| DOI： |
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| 基金项目:2024年度国家图书馆科研项目“国家典籍博物馆公共服务能力提升研究”,编号:NLC-KY-2024-18。 ② ZK |
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| Research on Characteristics and Trends in Smart Museum Development over a Five-year Period from 2020 to 2024 |
| Zhao Guoxiang,Yue Chang |
| () |
| Abstract: |
| This study aims to clarify the developmental characteristics of smart museums in China and explore emerging trends to provide reference for future theoretical and practical advancements in the field. Drawing on a systematic literature review on the China National Knowledge Infrastructure (CNKI) from 2020 to 2024, the research analyzes the current landscape from three dimensions:regional distribution, typological classification, and functional intelligence. Findings indicate that smart museum development in China is in a phase of rapid expansion, marked by regional concentration, rich cases but lagging behind in theory. Moving forward, research on smart museum should emphasize theoretical consolidation, methodological diversification, and interdisciplinary collaboration. In practice, it is essential to situate China's development within global museological trends and harness emerging technologies such as artificial intelligence and big data to support the intelligent transformation of museums. |
| Key words: smart museum, digital transformation, research characteristics, trend analysis |
