一、中文部份
王乾任(2019)。淺談戰後臺灣書店演變史:1949-2018。國家圖書館。
吳俊緯(2021)。網路爬蟲與文字探勘於分析顧客導向之旅遊規劃-以Dcard為例(碩士論文)。東海大學電機工程研究所,台中市。李元智(2017)。應用網路爬蟲技術於氣象站降雨量預測分析(碩士論文)。華梵大學,資訊管理學系,新北市。林怡萱(2014)。商店氣氛、品牌印象、服務品質、情緒對滿意度之關係研究-以敦南誠品書店為例(碩士論文)。南台科技大學,休閒事業管理研究所,台南市。洪嘉蓉(2004)。服務品質、滿意度與忠誠度關係之研究-以中華電信公司ADSL顧客為例(碩士論文)。大葉大學,資訊管理學系,彰化縣。張華明(2018)。基於網路爬蟲和聲控技術應用於線上音樂點歌之研究(碩士論文)。聖約翰科技大學,資訊工程研究所,新北市。許庭嫣(2017)。以資料探勘方法探究 FACEBOOK 政治人物粉絲專頁網民角色分析(碩士論文)。臺灣師範大學,圖書資訊學研究所,台北市。許維勻(2016)。網路論壇之輿情探勘(碩士論文)。淡江大學,資訊工程學系,新北市。郭東昇、蘇香琪(2016)。顧客價值之IPA分析,管理科學研究,10(1),83-96。
陳怡寧(2022)。新冠肺炎疫情下之運動品牌數位轉型策略分析:以Nike及Adidas為例(碩士論文)。國立臺灣大學,事業經營碩士在職學位學程,台北市。陳炫廷(2021)。應用爬蟲與文字探勘技術開發文章分類系統-以旅遊文章為例(碩士論文)。中華大學,資訊管理學系,新竹市。陳翊瑋(2008)。探討台北市國立大學生對網路書店之服務品質 、認知價格、顧客滿意度與再購買意願之相關研究—以博客來網路書店為例(碩士論文)。國立交通大學,經營管理研究所,新竹市。彭士嘉(2013)。應用資料採礦技術於消費者網路使用行為之研究(碩士論文)。國立政治大學,企業管理研究所,台北市。黃芝璇、馬麗菁(2021)。以圖形方式摘要化顧客評論。資訊管理學報,28(2),125-154。
黃俊堯、柳秉佑(2016)。消費者線上口碑與評論研究:國內外相關文獻回顧與討論。台大管理論叢,26(3),215-256。
楊雅媜(2021)。疫情下的通路偏好分析:新媒體與口碑傳播相對於傳統媒體之比較(碩士論文)。國立臺灣科技大學,企業管理系,台北市。 二、英文部份
András, N. and Károly, P. (2011). Web crawler research methodology, 22nd European Regional Conference of the International Telecommunications Society (ITS2011), Budapest, 18-21 September. (2011): Innovative ICT Applications-Emerging Regulatory, Economic and Policy Issues.
Bareja-Wawryszuk, O., Pajewski, T., Çakaröz, K. M. and Kavas, B. (2022). Changes in Consumer Behavior during the COVID-19 Pandemic: A Comparative Analysis between Polish and Turkish Consumers. Sustainability, 14(16), 10276; https://doi.org/10.3390/su141610276.
Beheshti-Kashi, S., Hribernik, K., Lützenberger, J., Arabsolgar, D. and Thoben, K. D. (2017). Fashion supply chains and social media: Examining the potential of data analysis of social-media texts for decision making-processes in fashion supply chains. Lecture Notes, Electronics Engineering, 413, 271-281.
Chadha, P., Pal Singh, E. and Yadav, B. (2022). Social Media Marketing Channels and Communication: COVID-19 Pandemic Perspective, Acta Universitatis Bohemiae Meridionalis, 24(3), DOI 10.32725/acta.2021.015.
Cheerkoot-Jalim, S. and Khedo, K. K. (2021). A systematic review of text mining approaches applied to various application areas in the biomedical domain, Journal of Knowledge Management, 25(3), 642-668.
Gupta, V. and Lehal, G. (2009). A survey of text Mining techniques and applications, Journal of Emerging Technologies in Web Intelligence, 1(1), 60-76.
Gupta, A., Dengre, V., Kheruwala, H. A. and Shah, M. (2020). Comprehensive review of text-mining applications in finance, Financial Innovation, 6(39), https://doi.org/10.1186/s40854‑020‑00205‑1,
He, W. (2013). Examining students’ online interaction in a live video streaming environment using data mining and text mining, Computers in human behavior, 29(1), 90-102.
Hennig-Thurau, T., Gwinner, K. P., Walsh, G. and Gremler, D. D. (2004). Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? Journal of Interactive Marketing, 18(1), 38-52.
Liao, S. H., Chu, P. H. and Hsiao, P. Y. (2012) Data mining techniques and applications – A decade review from 2000 to 2011, Expert Systems with Applications, 39(12), 11303-11311.
Manning, C. D., Raghavan, P. and Schutze, H. (2008). Introduction to information retrieval, Cambridge University Press, Chapter 20, 405-416.
Mangina, E. and Kilbride, J. (2008). Evaluation of keyphrase extraction algorithm and tiling process for a document/resource recommender within elearning environments. Computers & Education, 50, 807–820.
Miner, G., Elder IV, J., Fast, A., Hill, T., Nisbet, R., and Delen, D. (2012). Practical text
mining and statistical analysis for non-structured text data applications. Academic
Press.
Needham, D. (1996). Business for Higher Awards. Oxford, England: Heinemann.
Pantel, P. and Lin, D. (2002). Document clustering with committees, SIGIR Forum (ACM Special Interest Group on Information Retrieval), 199-206.
Parasuraman, A., Zeithaml, V. A. and Berry, L. L. (1985). Problems and Strategies in Services Marketing, Journal of Marketing, 49, 33-46.
Parasuraman, A., Zeithaml, V. A. and Berry, L. L. (1988). The SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality, Journal of Retailing, 64(1), 12-40.
Shilpa, D. (2014). Text Mining: techniques and its application, International Journal of Engineering and Technology Innovation, 1, 22-25.
Sommer, T., Bach, U., Richert, A., and Jeschke, S. (2014). A web-based recommendation system for engineering education e-learning systems, Automation, Communication and Cybernetics in Science and Engineering, https://doi.org/10.1007/978-3-319-46916-4_22.
Shah, S. M., Lütjen, M. and Freitag, M. (2021). Text Mining for supply chain risk management in the apparel industry, Applied Science, 11(5), 2323. https://doi.org/10.3390/app11052323
Wang, J. (2023). The relationship between loneliness and consumer shopping channel choice: Evidence from China, Journal of Retailing and Consumer Services, 70, 103-125.
Yu, L., Li, Y, Zeng, Q., Sun, Y., Bian, Y. and He, W. (2019). Journal of Physics: Conference Series, 2nd International Symposium on Power Electronics and Control Engineering (ISPECE 2019), 1449, 22-24, November. Tianjin, China.
三、網路部份
Hawking, T. (2013)。 The Most Beautiful Record Stores in the World,取自:https://www.flavorwire.com/366683/the-most-beautiful-record-stores-in-the-world
文化部統計處(2018)。臺灣民眾閱讀及消費行為調查報告,取自:https://www.moc.gov.tw/downloadfilelist_341_266_1.html
王建興(2014)。從搜尋引擎到文字探勘(上),取自:https://www.ithome.com.tw/voice/90361
台灣紀伊國屋書店官方網站(2022),網址:https://www.kinokuniya.com.tw/artical.php?page_id=65&ch_id=57
行銷資料科學(2019)。資料探勘與文字探勘之比較,取自:https://medium.com/marketingdatascience/%E8%B3%87%E6%96%99%E6%8E%A2%E5%8B%98%E8%88%87%E6%96%87%E5%AD%97%E6%8E%A2%E5%8B%98%E4%B9%8B%E6%AF%94%E8%BC%83-4410964ded2e
紀伊國屋書店股份有限公司(2022)104網站:https://www.104.com.tw/company/aesu3a0
龍堂品牌設計(2016)。日本唯一入選「世界最美的20家書店」:蔦屋書店TSUTAYA,取自:https://www.storm.mg/lifestyle/50015?page=2
嚴鈺雯(2022)。「結束28年歷史!紀伊國屋書店『元老店』2月底熄燈,全台僅剩3門市」,好房網報導,取自:https://news.housefun.com.tw/news/article/176317323151.html