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基于IPA和fsQCA的科普场馆满意度提升路径研究——以中国科技馆为例

Research on Improving Paths of the Science Popularization Venues Satisfaction Based on IPA and fsQCA:Take China Science and Technology Museum as an Example

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【作者】 田鹏陈实

【Author】 Tian Peng;Chen Shi;Training and Talent Service Center of China Association for Science and Technology;School of Government,Beijing Normal University;

【机构】 中国科协培训和人才服务中心北京师范大学政府管理学院

【摘要】 针对科普场馆高质量发展,围绕观众满意度的提升,以中国科技馆为例,将传统的IPA定量研究与模糊集定性比较分析(fsQCA)相结合,基于观众满意度调查结果提出三条满意度提升路径:深度挖掘展品内涵、开发和推广文创产品;完善用餐环境,提升科普场馆文化休闲品质;与时俱进、打造品牌竞争力。

【Abstract】 The thesis aims at the high-quality development of science popularization venues, focuses on improving audience satisfaction. Taking China Science and Technology Museum as an example, we combine the traditional quantitative study of IPA with fuzzy-set qualitative comparative analysis(fsQCA). Bases on the results of audience satisfaction survey, three ways to improve audience satisfaction are proposed: exploring the connotation of exhibits deeply, developing and promoting cultural and creative products; improving the dining environment and the cultural & leisure quality; keeping pace with the times and building brand competitiveness of science museums.

【关键词】 科普场馆满意度IPAfsQCA
【Key words】 science popularization venuessatisfactionIPAfsQCA
  • 【文献出处】 科普研究 ,Studies on Science Popularization , 编辑部邮箱 ,2021年06期
  • 【分类号】G315
  • 【被引频次】1
  • 【下载频次】654
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