[1] 欧阳雪梅. 习近平文化思想的原创性贡献与实践伟力[J]. 人民论坛, 2024(23): 14-20. (OUYANG X M. The original contributions and practical power of Xi Jinping’s cultural thought [J]. People’s tribune, 2024(23): 14-20.)
[2] 黄宸莹. 博物馆展览的空间叙事：问题、潜力与策略[J]. 东南文化, 2023(5): 175-182. (HUANG C Y. Spatial narratives in museum exhibitions: issues, potentials, and strategies[J]. Southeast culture, 2023(5): 175-182.)
[3] 张茜, 张朝枝. 博物馆非正规讲解问题的成因及建议——基于公益性与教育性视角[J]. 中国博物馆, 2024(4): 58-67. (ZHANG Q, ZHANG C Z. The causes and governance of the unofficial museum guiding: a discussion based on perspectives of public interest and education [J]. Chinese museum, 2024(4): 58-67.)
[4] 毛若寒, 夏子禾. 博物馆数字策展：内涵、脉络与特征[J]. 故宫博物院院刊, 2025(5): 30-43. (MAO R H, XIA Z H. On museum digital curation: connotation, context and characteristics[J]. Palace museum journal, 2025(5): 30-43.)
[5] 季晓芬. 面向观众生成内容的博物馆策展实践——以“文明大观：丝绸之路上的敦煌”为例[J]. 中国博物馆, 2024(3): 62-70. (JI X F. Practice of visitors-oriented museum exhibition content: a case study on the “convergence of civilizations: Dunhuang on the Silk Road” [J]. Chinese museum, 2024(3): 62-70.)
[6] 周小凤, 王楚涵, 张朝枝. 长城主题博物馆的数字化展示实践与优化对策探索[J]. 中国博物馆, 2024(3): 10-20. (ZHOU X F, WANG C H, ZHANG C Z. Practice and optimization strategy of digital display in the Great Wall thematic museums [J]. Chinese museum, 2024(3): 10-20.)
[7] 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.)
[8] 陈海权, 葛俊, 郭文茜, 等. 恻隐之心：消费者对星级酒店不公平口碑的同情反应[J]. 旅游科学, 2023, 37(2): 117-132. (CHEN H Q, GE J, GUO W X, et al. The sense of mercy: consumers’ sympathetic response to the unfair review of star-rated hotels[J]. Tourism science, 2023, 37(2): 117-132.)
[9] CHEKEMBAYEVA G, GARAUS M. Authenticity matters: investigating virtual tours’ impact on curiosity and museum visit intentions[J]. Journal of services marketing, 2024, 38(7): 941-956.
[10] DRAGESET D, KAO Y, NEWBUTT N A, et al. Promoting inclusive visits to a natural history museum with a pre-visit VR tour for autistic families[J]. Research in science education, 2024, 55(3): 511-528.
[11] 张亮, 李君轶. 基于情景实验的红色旅游恢复性效益及其影响因素分析——以延安革命纪念馆为例[J]. 旅游学刊, 2024, 39(7): 143-156. (ZHANG L, LI J Y. Analysis of restorative benefits of red tourism and their influencing factors based on situational experiment: a case study of the Yan’an Revolutionary Memorial Hall [J]. Tourism tribune, 2024, 39(7): 143-156.)
[12] 李蕾, 彭慧, 刘晓娟. 大语言模型细粒度评论挖掘下的博物馆服务用户满意度研究[J]. 图书情报工作, 2024, 68(17): 54-67. (LI L, PENG H, LIU X J. Research on user satisfaction of museum service based on fine-grained comment mining of large language model [J]. Library and information service, 2024, 68(17): 54-67.)
[13] 宋娴, 朱雯文. 集群化发展模式下的博物馆教研融合之路[J]. 中国博物馆, 2024(6): 53-62. (SONG X, ZHU W W. The path to integrating museum education and research in the clustering development mode[J]. Chinese museum, 2024(6): 53-62.)
[14] TANG Y Y, ZHOU Q. Inspired by intertemporal connections: using AR technology to enhance visitor satisfaction in historical museums[J]. Tourism management, 2025, 108: 105096.
[15] 赵婕, 耿默兰, 唐淼. 博物馆展览沉浸体验的构成要素及内在机制——由“绿野先踪”展览个案谈起[J]. 东南文化, 2024(2): 162-168. (ZHAO J, GENG M L, TANG M. The constituent elements and intrinsic mechanism of museum immersive experiences: a case study of the “Green Trail” exhibition [J]. Southeast culture, 2024(2): 162-168.)
[16] ZHANG R, ABD RAHMAN A. Dive in the flow experience: millennials’ tech-savvy, satisfaction and loyalty in the smart museum[J]. Current issues in tourism, 2022, 25(22): 3694-3708.
[17] 高小燕, 刘一诺. 博物馆智慧旅游技术与游客满意度、忠诚度关系研究[J]. 当代传播, 2024(2): 101-106. (GAO X Y, LIU Y N. Research on the relationship between museum smart tourism technology and tourist satisfaction and loyalty[J]. Contemporary communication, 2024(2): 101-106.)
[18] YE Y, YU X. Investigating the impact of museum cultural and creative products on consumers’ cultural interest: a case study of Dunhuang[J]. IEEE access, 2024, 12: 192317-192327.
[19] VARUTTI M. The affective turn in museums and the rise of affective curatorship[J]. Museum management and curatorship, 2023, 38(1): 61-75.
[20] 邓屏. 博物馆旅游体验：儿童视角的特征呈现与优化策略[J]. 现代基础教育研究, 2023, 52(4): 162-170. (DENG P. Museum research tourism experience: characteristics from children’s perspective and optimization strategies[J]. Research on modern basic education, 2023, 52(4): 162-170.)
[21] 张婉芸, 靳文敏, 杨德进. 博物馆独游女性观众的复愈过程研究[J]. 旅游科学, 2023, 37(6): 125-140. (ZHANG W Y, JIN W M, YANG D J. Exploration on the restorative process of solo female visitors in museum tourism [J]. Tourism science, 2023, 37(6): 125-140.)
[22] XIONG J J, YANG S, XU P Y, et al. Pain-point analysis of outpatient service based on online patient comments[J]. Chinese journal of hospital administration, 2021, 37(4): 317-321.
[23] CHEN T G, ZHANG C, YANG J J, et al. Grounded theory-based user needs mining and its impact on APP downloads: exampled with WeChat APP[J]. Frontiers in psychology, 2022, 13: 875310.
[24] LV S N, XIAO A R, QIN Y, et al. A decision framework for improving the service quality of charging stations based on online reviews and evolutionary game theory[J]. Transportation research part a: policy and practice, 2024, 187: 104168.
[25] 刘丽娟, 袁曦临, 杨明芳. 锚定用户需求痛点的学科服务钩状模型研究[J]. 图书情报工作, 2019, 63(15): 60-67.
[26] HOLZ H F, BECKER M, BLUT M, et al. Eliminating customer experience pain points in complex customer journeys through smart service solutions[J]. Psychology & marketing, 2024, 41(3): 592-609.
[27] SAXENA D, MUZELLEC L, MCDONAGH J. From bureaucracy to citizen-centricity: how the citizen-journey should inform the digital transformation of public services[J]. International journal of electronic government research, 2022, 18(1): 1-17.
[28] 苑晓, 饶荣亮, 薛珂, 等. 以客户旅程图提升观众参观科技馆体验——以中国科技馆为例[J]. 科普研究, 2024, 19(6): 57-64. (YUAN X, RAO R L, XUE K, et al. Enhancing visitor experience at science and technology museums through customer journey mapping: a case study of China Science and Technology Museum [J]. Studies on science popularization, 2024, 19(6): 57-64.)
[29] JIANG Q, LIU Y, HUANG Z H. A framework for capturing and evaluating value propositions of smart products considering users’ experiences[J]. Technology analysis & strategic management, 2025, 37(11): 1387-1404.
[30] 李博, 彭杰, 李凯. 基于改进高斯混合模型和概率语言三支决策的酒店在线评论聚类与多特征筛选[J]. 管理现代化, 2025, 45(3): 113-125. (LI B, PENG J, LI K. Hotel online reviews clustering and multi-feature screening based on the improved Gaussian mixture model and probabilistic linguistic three-way decision-making [J]. Modernization of management, 2025, 45(3): 113-125.)
[31] BO L, CHEN Y M, YANG X L. The impact of contradictory online reviews on consumer online purchase decision: experimental evidence from China[J]. Sage open, 2023, 13(2): 21582440231180107.
[32] 廖觅燕, 方佳明, 韩林彤, 等. 一图胜千言？在线评论中的图文内容匹配对评论有用性的影响[J]. 南开管理评论, 2026, 29(6): 171-183. (LIAO M Y, FANG J M, HAN L T, et al. A picture is worth a thousand words? The impact of graphic content matching in online reviews on the usefulness of reviews[J]. Nankai business review, 2026, 29(6): 171-183.)
[33] YANG A, LIU C H, TALAEI-KHOEI A, et al. Valuing your patient’s opinion: online patient reviews and power distance[J]. Journal of global information management, 2023, 31(1): 324520.
[34] 夏宇, 张婷婷, 秘玲玲, 等. 考虑在线评论的电商供应链商品质量与销售模式联合决策[J]. 管理工程学报, 2026, 40(1): 287?298. (XIA Y, ZHANG T T, BI L L, et al. Joint decision-making on product quality and sales mode of e-commerce supply chain considering online reviews [J]. Journal of industrial engineering and engineering managemen, 2026, 40(1): 287?298.)
[35] ZHANG X, LA L, HUANG G Q, et al. Strategies and conditions for crafting managerial responses to online reviews[J]. Tourism management, 2024, 103: 104911.
[36] 叶艳, 吴鹏, 周知, 等. 基于LDA-BiLSTM模型的在线医疗服务质量识别研究[J]. 情报理论与实践, 2022, 45(8): 178-183. (YE Y, WU P, ZHOU Z, et al. Research on online medical service quality identification based on LDA-BiLSTM model [J]. Information studies: theory & application, 2022, 45(8): 178-183.)
[37] XIA R C, DONG X F, AN J J, et al. The impact of fake online reviews on customer satisfaction: an empirical study on JD.com[J]. Electronic commerce research, 2025, 25(6): 4689-4716.
[38] 赖晓凡, 谢嘉茜, 王心蕊. 乡村旅游景区质量要素及其对游客满意度的影响——基于可解释神经网络的Kano模型[J]. 旅游科学, 2025, 39(4): 120-139. (LAI X F, XIE J Q, WANG X R. Quality factors of rural tourist attraction and their impacts on tourist satisfaction: based on Kano model with explainable neural network [J]. Tourism science, 2025, 39(4): 120-139.)
[39] 程絮森, 张晓玲, 薛童, 等. 议程设置视角下元宇宙“用户基础”建设研究——基于深度学习文本分析的研究[J]. 科学学研究, 2026, 44(3): 661?672. (CHENG X S, ZHANG X L, XUE T, et al. Analysis of the construction of the metaverse “user base” from the agenda setting perspective: research based on deep learning text analysis [J]. Studies in science of science, 2026, 44(3): 661?672.)
[40] 刘颖, 于春梅, 李晓晨, 等. 基于改进BERTopic模型的领域主题表征及演化研究[J]. 图书情报工作, 2025, 69(3): 78-89. (LIU Y, YU C M, LI X C, et al. Research on domain topic representation and evolution process based on improved BERTopic model[J]. Library and information service, 2025, 69(3): 78-89.)
[41] 高春玲, 武小雨. 用户在线评论红山文化内容挖掘与情感分析[J]. 图书情报工作, 2025, 69(10): 62-73. (GAO C L, WU X Y. User online reviews Hongshan cultural content mining and sentiment analysis [J]. Library and information service, 2025, 69(10): 62-73.)
[42] CHIU C, WU C, CHIEN T, et al. Predicting ICU readmission from electronic health records via BERTopic with long short term memory network approach[J]. Journal of clinical medicine, 2024, 13(18): 5503.
[43] TANG W J, BU H, ZUO Y, et al. Unlocking the power of the topic content in news headlines: BERTopic for predicting Chinese corporate bond defaults[J]. Finance research letters, 2024, 62: 105062.
[44] TANG Z Y, PAN X, GU Z Y. Analyzing public demands on China’s online government inquiry platform: a BERTopic-based topic modeling study[J]. PLOS one, 2024, 19(2): e0296855.
[45] 徐振国, 张琳, 谢万里, 等. 融合BERTopic和KANO模型的在线课程用户需求挖掘研究——以Python在线课程为例[J]. 情报科学, 2024, 42(8): 126-135. (XU Z G, ZHANG L, XIE W L, et al. Mining and analysis of user requirements for online open courses by integrating BERTopic and KANO models [J]. Information science, 2024, 42(8): 126-135.)
[46] 程励, 王美玉, 唐凤莲, 等. 红色旅游情境下的情感触点、情感反应与游客认同——基于5个红色旅游景区样本的实证研究[J]. 旅游学刊, 2023, 38(7): 52-69. (CHENG L, WANG M Y, TANG F L, et al. Emotional trigger points, emotional reactions and tourist identity in red tourism situations: an empirical study based on five cases of red tourist attractions [J]. Tourism tribune, 2023, 38(7): 52-69.)
[47] 孙长智, 易铭瑒, 蒋京京, 等. 基于深度主题自编码器模型的电影短评数据情感分析研究[J]. 情报科学, 2024, 42(11): 69-75. (SUN C Z, YI M Y, JIANG J J, et al. Sentiment analysis of movie review data based on deep thematic autoencoder model [J]. Information science, 2024, 42(11): 69-75.)
[48] ZHOU J Q, ZHANG H F. Transforming education in the AI era: a technology–organization–environment framework inquiry into public discourse[J]. Applied sciences, 2025, 15(7): 3886.
[49] YE T, ZHAO S Y, LAU C K M, et al. Social media sentiment of hydrogen fuel cell vehicles in China: evidence from artificial intelligence algorithms[J]. Energy economics, 2024, 133: 107564.
[50] WANG K Q, GAO Z J, QIAO Y N, et al. User requirements identification and trend of evolution mining in online reviews[J]. Mechanical science and technology for aerospace engineering, 2023, 42(7): 1070-1080.
[51] 王璐, 李诗轩, 陈烨. 基于主题-情感融合分析的新冠疫苗舆情演化研究[J]. 情报科学, 2024, 42(8): 65-75, 95. (WANG L, LI S X, CHEN Y. Public opinion evolution of COVID-19 vaccine based on topic-emotion fusion analysis [J]. Information science, 2024, 42(8): 65-75, 95.)
[52] MATZLER K, BAILOM F, HINTERHUBER H H, et al. The asymmetric relationship between attribute-level performance and overall customer satisfaction: a reconsideration of the importance–performance analysis[J]. Industrial marketing management, 2004, 33(4): 271-277.
[53] RYOO E, JEONG S H, SHIN N Y, et al. Hospital nurse managers’ perspectives of the Magnet Recognition Program using an importance‐performance analysis: a quantitative cross‐sectional study[J]. Nursing open, 2024, 11(8): e70015.
[54] 郑治伟, 罗兹柏, 张晓燕. 基于LSTM-IPA模型的文化遗产人员解说服务质量评估研究——以北京故宫为例[J]. 旅游科学, 2023, 37(4): 129-143. (ZHENG Z W, LUO Z B, ZHANG X Y. A research on service quality evaluation of docents’ interpretation at cultural heritage sites based on LSTM-IPA model: taking the Palace Museum as an example [J]. Tourism science, 2023, 37(4): 129-143.)
[55] MWESIUMO D. Identifying critical factors in higher education studies: combining necessary condition and importance-performance map analyses[J]. Studies in higher education, 2026, 51(3): 544-564.
[56] KIM S, PARK S, KWAK M, et al. Examining product quality and competitiveness via online reviews: an integrated approach of importance performance competitor analysis and Kano model[J]. Journal of retailing and consumer services, 2025, 82: 104135.
[57] 魏敏, 刘敏, 李书昊. 数据要素非均衡分布与区域旅游企业生产效率[J]. 旅游学刊, 2024, 39(5): 3-6. (WEI M, LIU M, LI S H. Unbalanced distribution of data elements and production efficiency of regional tourism enterprises [J]. Tourism tribune, 2024, 39(5): 3-6.)
[58] 胡凯茜, 李欣, 王龙腾. 基于BERTopic模型的网络暴力事件衍生舆情探测[J]. 情报杂志, 2024, 43(7): 146-153. (HU K X, LI X, WANG L T. Detection of derived public opinion of cyber violence incidents based on BERTopic model [J]. Journal of intelligence, 2024, 43(7): 146-153.)
