基于IPA-fsQCA的数字博物馆重游意愿组态路径分析

李子翔; 米高峰; 杨小晖; 韩枚慎

doi:10.19554/j.cnki.1001-3563.2026.12.015

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包装工程（设计栏目） ›› 2026, Vol. 47 ›› Issue (12) : 188-203. DOI: 10.19554/j.cnki.1001-3563.2026.12.015

工业设计

基于IPA-fsQCA的数字博物馆重游意愿组态路径分析

李子翔¹, 米高峰^1,*, 杨小晖^1,2, 韩枚慎¹

作者信息 +

Grouping Path Analysis of Digital Museum Revisit Intention Based on IPA-fsQCA

LI Zixiang¹, MI Gaofeng^1,*, YANG Xiaohui^1,2, HAN Meishen¹

Author information +

文章历史 +

摘要

目的数字化与可持续趋势融合背景下,数字文化消费行为呈现新的特征与驱动力,本研究以河北博物院数字博物馆为例,采用跨学科视角深入探究影响消费者重游数字博物馆的多重组态因素。方法构建IPA-fsQCA实证研究框架。首先运用重要性-绩效分析（IPA）绘制四象限图,直观呈现河北博物院数字博物馆开发现状,为后续输出优化建议提供可视化参考依据。其次,在已有数字博物馆持续参与研究基础上,融合信息生态系统学等概念构建影响因素模型。最后,利用模糊集定性比较分析（fsQCA）探究影响消费者重游数字博物馆的组态路径。结果得出7条充分条件组态路径,可归纳为社交主导下数字文化认知型、需求导向下外部热度刺激型以及数字生态与需求匹配协同型。结论针对河北博物院数字博物馆提出以下3条优化建议,一是深耕文化内容,设计赋能文化空间;二是以数字技术为主导,激发用户主动参与意识;三是理解数字社交,适配碎片化传播趋势。

Abstract

Against the backdrop of integrating digitalization and sustainability, digital cultural consumption exhibits new characteristics and driving forces. Using the Hebei Museum's digital museum as a case, this study explores the multiple configurational factors influencing consumers' revisit intentions from an interdisciplinary perspective. An IPA-fsQCA empirical framework was constructed for this purpose. First, Importance-Performance Analysis (IPA) mapped the museum's current development, providing a visual reference for optimization. Next, an influencing factor model was built by integrating information ecology concepts. Finally, fuzzy-set Qualitative Comparative Analysis (fsQCA) identified seven sufficient configurational paths driving revisits, which are categorized into three types: social-dominated digital culture cognitive, demand-oriented external popularity stimulated, and digital ecology-demand matching synergistic. Based on these findings, three optimization strategies are proposed for the Hebei Museum: deepening cultural content to design empowering cultural spaces, leveraging digital technology to stimulate active user participation, and understanding digital social networking to adapt to fragmented communication trends.

导出引用1

李子翔, 米高峰, 杨小晖, 韩枚慎. 基于IPA-fsQCA的数字博物馆重游意愿组态路径分析[J]. 包装工程. 2026, 47(12): 188-203 https://doi.org/10.19554/j.cnki.1001-3563.2026.12.015

LI Zixiang, MI Gaofeng, YANG Xiaohui, HAN Meishen. Grouping Path Analysis of Digital Museum Revisit Intention Based on IPA-fsQCA[J]. Packaging Engineering. 2026, 47(12): 188-203 https://doi.org/10.19554/j.cnki.1001-3563.2026.12.015

中图分类号： TB472

参考文献

[1] 张伊娜. 深刻认识新形势下提振消费政策的导向与发力点[J]. 红旗文稿, 2025(7): 23-25.
ZHANG Y N.Deeply Understand the Orientation and Strength of Boosting Consumption Policy under the New Situation[J]. Red Flag Manuscript, 2025(7): 23-25.
[2] 蒋俊杰, 杜婉晴, 杜鹤民, 等. 感知价值对博物馆 “云展览” 用户满意度及持续参与意愿影响研究——以 “云游故宫” 为例[J]. 东南文化, 2024(4): 148-156.
JIANG J J, DU W Q, DU H M, et al.Investigating the Impact of Perceived Value on User Satisfaction and Continuous Participation Intention in Museum Cloud Exhibitions: Taking "Cloud Tour of the Forbidden City" as an Example[J]. Southeast Culture, 2024(4): 148-156.
[3] ZHENG F Y, WU S, LIU R, et al.What Influences User Continuous Intention of Digital Museum: Integrating Task-Technology Fit (TTF) and Unified Theory of Acceptance and Usage of Technology (UTAUT) Models[J]. Heritage Science, 2024, 12: 253.
[4] SHI M J, WANG Q, LONG Y H.Exploring the Key Drivers of User Continuance Intention to Use Digital Museums: Evidence from China's Sanxingdui Museum[J]. IEEE Access, 2023, 11: 81511-81526.
[5] 郭城, 曾伟. 不可移动文物线上虚拟现实展示设计研究——以六朝石刻为例[J]. 装饰, 2024(12): 124-127.
GUO C, ZENG W.Research on Online Virtual Reality Display Design of Immovable Cultural Relics: Taking the Stone Carvings of the Six Dynasties as an Example[J]. Art & Design, 2024(12): 124-127.
[6] BOVCON N.Virtual Museums: Interpreting and Recreating Digital Cultural Content[J]. Neohelicon, 2021, 48(1): 23-38.
[7] 刘思屹, 张志贤. 文化体验视角下数字博物馆的交互叙事研究[J]. 中国博物馆, 2024(5): 96-103.
LIU S Y, ZHANG Z X.A Study of Interactive Narrative of Digital Museums from the Perspective of Cultural Experience[J]. Chinese Museum, 2024(5): 96-103.
[8] 李冉, 孙为. 记忆之场的数字重构: 媒介技术下数字博物馆的 “新记忆之场”[J]. 东南文化, 2025(2): 149-156.
LI R, SUN W.Digital Reconstruction of Memory Sites: The "New Memory Site" of Digital Museums under Media Technology[J]. Southeast Culture, 2025(2): 149-156.
[9] XU J P, LIU S X, YANG W, et al.Beyond Reality: Exploring User Experiences in the Metaverse Art Exhibition Platform from an Integrated Perspective[J]. Electronics, 2024, 13(6): 1023.
[10] WANG M L, LIU S S, HU L L, et al.A Study of Metaverse Exhibition Sustainability on the Perspective of the Experience Economy[J]. Sustainability, 2023, 15(12): 9153.
[11] 吴江, 李秋贝, 胡忠义, 等. 基于IPA模型的乡村旅游景区游客满意度分析[J]. 数据分析与知识发现, 2023, 7(7): 89-99.
WU J, LI Q B, HU Z Y, et al.Analyzing Tourist Satisfaction of Rural Scenic Attractions Based on IPA Model[J]. Data Analysis and Knowledge Discovery, 2023, 7(7): 89-99.
[12] 郭家欣, 崔乐泉. 全民健身背景下用户在线健身需求体系构建与分析——基于Word2Vec-IPA模型的研究[J]. 北京体育大学学报, 2024, 47(4): 131-143.
GUO J X, CUI L Q.Construction and Analysis of Users'online Fitness Demand System under the Background of National Fitness: A Study Based on Word2Vec-IPA Model[J]. Journal of Beijing Sport University, 2024, 47(4): 131-143.
[13] 罗文斌, 雷洁琼. 基于IPA方法的乡村旅游景观质量评价研究——以长沙市为例[J]. 湖南社会科学, 2020(4): 91-98.
LUO W B, LEI J Q.Research on Rural Tourism Landscape Quality Evaluation Based on IPA[J]. Social Sciences in Hunan, 2020(4): 91-98.
[14] RUBINSON C.Contradictions in fsQCA[J]. Quality & Quantity, 2013, 47(5): 2847-2867.
[15] 程恋军, 王琳茜. 定性比较分析(QCA)中的稳健性研究: 分析策略与未来方向[J]. 中国人力资源开发, 2025, 42(1): 19-40.
CHENG L J, WANG I.Robustness Research in Qualitative Comparative Analysis (QCA): Analyze Strategy and Future Direction[J]. Human Resources Development of China, 2025, 42(1): 19-40.
[16] TRUEB B.Integrating Qualitative and Quantitative Data: Index Creation Using Fuzzy-Set QCA[J]. Quality & Quantity, 2013, 47(6): 3537-3558.
[17] 周翔, 王英奇, 王满四. 数字平台价值感知可供性驱动的消费者决策机制研究[J]. 南开管理评论, 2025, 28(11): 76-87.
ZHOU X, WANG Y Q, WANG M S.Research on the Consumer Decision-Making Mechanism Driven by the Value Perception Affordance of Digital Platforms[J]. Nankai Business Review, 2025, 28(11): 76-87.
[18] LI Y F, OTHMAN M K.Investigating the Behavioural Intentions of Museum Visitors towards VR: A Systematic Literature Review[J]. Computers in Human Behavior, 2024, 155: 108167.
[19] 陈廉芳, 夏晶. 大学生数字深阅读影响因素fsQCA组态分析[J]. 数字图书馆论坛, 2024, 20(7): 54-62.
CHEN L F, XIA J.Configuration Analysis of Impact Factors of University Students'Digital Deep Reading Based on fsQCA[J]. Digital Library Forum, 2024, 20(7): 54-62.
[20] 彭佳. 另一种文本中心——回应尤里·洛特曼的文本观[J]. 符号与传媒, 2011(3): 188-193.
PENG J.Another Text Center—Responding to Yuri Lautemann's View of Text[J]. Signs & Media, 2011(3): 188-193.
[21] HUANG H Q, CHEN H, ZHAN Y H.A Study on Consumers' Perceptions of Museum Cultural and Creative Products through Online Textual Reviews: An Example from Palace Museum's Cultural and Creative Flagship Store[J]. Behavioral Sciences, 2023, 13(4): 318.
[22] MARTY P F.Museum Websites and Museum Visitors: Digital Museum Resources and Their Use[J]. Museum Management and Curatorship, 2008, 23(1): 81-99.
[23] 李洋, 隆鑫, 杨龙飞. 面向文化语义表达的创意产品设计方法研究[J]. 机械设计与制造, 2023(12): 301-304.
LI Y, LONG X, YANG L F.Study on the Design Methods of Creative Product Oriented on Its Cultural Semantics[J]. Machinery Design & Manufacture, 2023(12): 301-304.
[24] LU P, HSIAO S W.A Product Design Method for Form and Color Matching Based on Aesthetic Theory[J]. Advanced Engineering Informatics, 2022, 53: 101702.
[25] 刘艺, 沈玖玖. 文旅融合视角下景区图书馆使用意愿影响因素研究[J]. 图书馆学研究, 2024(9): 35-48.
LIU Y, SHEN J J.Research on the Influencing Factors of the Willingness to Use Scenic Area Libraries from the Perspective of Culture and Tourism Integration[J]. Research on Library Science, 2024(9): 35-48.
[26] ZOLLO L, RIALTI R, MARRUCCI A, et al.How Do Museums Foster Loyalty in Tech-Savvy Visitors? The Role of Social Media and Digital Experience[J]. Current Issues in Tourism, 2022, 25(18): 2991-3008.
[27] WONG J W C, LAI I K W, TAO Z. Sharing Memorable Tourism Experiences on Mobile Social Media and how It Influences Further Travel Decisions[J]. Current Issues in Tourism, 2020, 23(14): 1773-1787.
[28] CHANG Y T, YU H, LU H P. Persuasive Messages, Popularity Cohesion,Message Diffusion in Social Media Marketing[J]. Journal of Business Research, 2015, 68(4): 777-782.
[29] 张兴旺, 雷薇, 段雪纯, 等. 中国特色数字藏品的理论体系、研究模式与未来研究趋势分析[J]. 图书情报工作, 2023, 67(24): 122-134.
ZHANG X W, LEI W, DUAN X C, et al.Analysis of the Theoretical System, Research Model, and Future Research Trends of Digital Collections with Chinese Characteristics[J]. Library and Information Service, 2023, 67(24): 122-134.
[30] CHEN X J, ZHOU M, ZHANG C M.Investigating the Impact of Digital Collectibles Involvement on Tourists' On-Sites Visit Intentions[J]. Current Psychology, 2024, 43(13): 11651-11662.
[31] GUERTIN-LAHOUD S, COURSARIS C K, SÉNÉCAL S, et al. User Experience Evaluation in Shared Interactive Virtual Reality[J]. Cyberpsychology, Behavior, and Social Networking, 2023, 26(4): 263-272.
[32] HAI L, SANG G Y, WANG H, et al.An Empirical Investigation of University Students' Behavioural Intention to Adopt Online Learning: Evidence from China[J]. Behavioral Sciences, 2022, 12(10): 403.
[33] WU Y, JIANG Q L, LIANG H E, et al.What Drives Users to Adopt a Digital Museum? A Case of Virtual Exhibition Hall of National Costume Museum[J]. Sage Open, 2022, 12: 21582440221082105.
[34] 邱均平, 龙康, 徐中阳. 基于ECT-U&G的生成式AI用户持续使用意愿的实证研究——以大学生为例[J]. 现代情报, 2025, 45(6): 46-59.
QIU J P, LONG K, XU Z Y.Empirical Research of Generative AI Users Continuance Use Intention Based on ECT-U & G—in Case of College Students[J]. Journal of Modern Information, 2025, 45(6): 46-59.
[35] PARK H, HEO J, KIM J.Before You Visit-: New Opportunities for the Digital Transformation of Museums[M]// Culture and Computing. Interactive Cultural Heritage and Arts. Cham: Springer International Publishing, 2021: 449-466.
[36] 欧新菊, 陈择键, 刘云鹄. 基于α世代儿童认知画像的数字博物馆设计[J]. 包装工程, 2024, 45(10): 225-235.
OU X J, CHEN Z J, LIU Y (G /H). Design of Digital Museum Based on Alpha Generation Children's Cognitive Portrait[J]. Packaging Engineering, 2024, 45(10): 225-235.
[37] 张迪, 张力伟. 数智信息生态系统: 内涵、构成与机制[J]. 现代情报, 2024, 44(4): 11-21.
ZHANG D, ZHANG L W.The Digital and Intelligent(DI)Information Ecosystem: Connotations, Composition, and Mechanisms[J]. Modern Information, 2024, 44(4): 11-21.
[38] 刘婷艳, 王晰巍, 刘贵富. 信息生态视角下直播带货中用户信息交互行为机理[J]. 情报科学, 2024, 42(10): 47-53.
LIU T Y, WANG X W, LIU G F.Mechanisms of User Information Interaction Behavior in Live Streaming Marketing from the Perspective of Information Ecology[J]. Information Science, 2024, 42(10): 47-53.
[39] ELLIS J L, SIJTSMA K.Proof of Reliability Convergence to 1 at Rate of Spearman-Brown Formula for Random Test Forms and Irrespective of Item Pool Dimensionality[J]. Psychometrika, 2024, 89(3): 774-795.
[40] DEBETS M P M, SCHEEPERS R A, BOEREBACH B C M, et al. Variability of Residents' Ratings of Faculty's Teaching Performance Measured by Five- and Seven- Point Response Scales[J]. BMC Medical Education, 2020, 20(1): 325.
[41] 毛润泽, 刘源, 刘震. 露营旅游者行为意向的影响因素及组态路径——基于模糊集定性比较分析[J]. 旅游科学, 2024, 38(8): 88-108.
MAO R Z, LIU Y, LIU Z.Influencing Factors and Configuration Paths of Camping Tourists' Behavioral Intention—A Qualitative Comparative Analysis Based on Fuzzy Sets[J]. Tourism Science, 2024, 38(8): 88-108.
[42] 杜运周, 贾良定. 组态视角与定性比较分析(QCA): 管理学研究的一条新道路[J]. 管理世界, 2017, 33(6): 155-167.
DU Y Z, JIA L D.Configuration Perspective and Qualitative Comparative Analysis (QCA): A New Way of Management Research[J]. Management World, 2017, 33(6): 155-167.
[43] 李永发, 肖洋, 孔恒洋. 数字化时代商业模式与顾客旅程如何带来积极顾客体验——基于NCA与fsQCA混合方法分析[J]. 广东财经大学学报, 2024, 39(5): 23-37.
LI Y F, XIAO Y, KONG H Y.How Can Business Models and Customer Journeys Lead to Positive Customer Experiences in the Digital Age: Analysis Based on the Mixed Method of NCA and fsQCA[J]. Journal of Guangdong University of Finance & Economics, 2024, 39(5): 23-37.
[44] HU A N, CHEN B Y, LIU S, et al.A Study on the Mechanisms Influencing Older Adults' Willingness to Use Digital Displays in Museums from a Cognitive Age Perspective[J]. Behavioral Sciences, 2024, 14(12): 1187.
[45] DENG Y B, ZHANG X H, ZHANG B W, et al.From Digital Museuming to On-Site Visiting: The Mediation of Cultural Identity and Perceived Value[J]. Frontiers in Psychology, 2023, 14: 1111917.
[46] WU Y, JIANG Q L, NI S Y, et al.Critical Factors for Predicting Users' Acceptance of Digital Museums for Experience-Influenced Environments[J]. Information, 2021, 12(10): 426.
[47] LI X, MA Z H, WANG S.Understanding Users' Recommendation Intention of Online Museums: A Perspective of the Cognition-Emotion-Behavior Theory and the Expectation Confirmation Model[J]. npj Heritage Science, 2025, 13: 99.
[48] WU R H, GAO L, LEE H, et al.A Study of the Key Factors Influencing Young Users' Continued Use of the Digital Twin-Enhanced Metaverse Museum[J]. Electronics, 2024, 13(12): 2303.
[49] HUANG X, LI Y Z, TIAN F.Enhancing User Experience in Interactive Virtual Museums for Cultural Heritage Learning through Extended Reality: The Case of Sanxingdui Bronzes[J]. IEEE Access, 2025, 13: 59405-59421.
[50] 孙佼佼, 郭英之. 文化遗产数字化对国民遗产责任的影响研究——基于TTF和TAM的模型构建[J]. 旅游科学, 2023, 37(3): 71-85.
SUN J J, GUO Y Z.A Research on the Influence of the Digitization of Cultural Heritage Sites on National Heritage Responsibility—A Model Construction Based on TTF and TAM[J]. Tourism Science, 2023, 37(3): 71-85.
[51] BEAVIS C, O'MARA J, THOMPSON R. Digital Games in the Museum: Perspectives and Priorities in Videogame Design[J]. Learning, Media and Technology, 2021, 46(3): 294-305.
[52] LI W H, HUANG X L.The Interactive Design and User Experience of Virtual Museums: Case Study of the Virtual Palace Museum[C]// Cross-Cultural Design. Applications in Learning, Arts, Cultural Heritage, Creative Industries, and Virtual Reality. Cham: Springer, 2022: 400-409.