Acknowledgement
본 연구는 2023 년 한서대학교 산학협력단 연구비 지원을 받아 작성된 것임
References
- Abuzayed, A., & Al-Khalifa, H. (2021). BERT for Arabic topic modeling: an experimental study on BERTopic technique. Procedia Computer Science, 189, 191-194. https://doi.org/10.1016/j.procs.2021.05.096
- Belshaw, C. S. (1965).Traditional exchange and modern markets. Englewood Cliffs, NJ: Prentice-Hall.
- Blei, D. M., & Lafferty, J. D. (2006, June). Dynamic topic models. InProceedings of the 23rd international conference on Machine learning (pp. 113-120).
- Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent dirichlet allocation. Journal of machine Learning research, 3(Jan), 993-1022.
- Bodrunova, S. S., Orekhov, A. V., Blekanov, I. S., Lyudkevich, N. S., & Tarasov, N. A. (2020). Topic detection based on sentence embeddings and agglomerative clustering with Markov Moment.Future Internet, 12(9), 144; https://doi.org/10.3390/fi12090144
- Bromley, R. J., Symanski, R., & Good, C. M. (1975). The rationale of periodic markets.Annals of the Association of American Geographers, 65(4), 530-537. https://doi.org/10.1111/j.1467-8306.1975.tb01060.x
- Cha, E. S., Kang, K. J., & Ryoo, K. M. (2020). A study on the effects of store choice factors of traditional markets on customer satisfaction and revisit intention. International Journal of Tourism and Hospitality Research, 34(12), 109-120.
- Griffiths, T, L., & Steyvers, M. (2004). Finding scientific topics, in Proceedings of the National Academy of Sciences, 101 (Supplement 1), 5228-5235. https://doi.org/10.1073/pnas.0307752101.
- Grootendorst, M. (2022). BERTopic: Neural topic modeling with a class-based TF-IDF procedure. arXiv preprint arXiv:2203.05794.
- Hwang, B. J., & Lee, G. C. (2012). The effects of service quality on service value, customer satisfaction, behavior intentions in the traditional market: Focusing on the moderating effect of perceived pleasure and merchant consciousness. Journal of the Korea Service Management Society, 13(3), 27-59. https://doi.org/10.15706/jksms.2012.13.3.002
- Ihalla (2021). Even with tens of billions of dollars invested... Revitalization of traditional Market 'Long road'. News article from May 17, 2021: http://m.ihalla.com/article.php?aid=1621240952708084073
- Jelodar, H., Wang, Y., Yuan, C., Feng, X., Jiang, X., Li, Y., & Zhao, L. (2019). Latent dirichlet allocation(LDA) and topic modeling: Models, applications, a survey. Multimedia Tools and Applications, 78(11), 15169-15211. https://doi.org/10.1007/s11042-018-6894-4
- KBS NEWS (2021). [After coverage] 90 billion was invested... Revitalization of Traditional Markets, 'Baekyak Invalidation'. News article from April 13, 2021: https://news.kbs.co.kr/news/view.do?ncd=5161348
- KDI (2019). Support for 847 traditional markets and shopping district revitalization projects in 2020. Economic Policy Information from the KDI Economic Information Center. https://eiec.kdi.re.kr/policy/materialView.do?num=196134&topic=
- Kim. D. H. (2013). A plan to foster traditional markets for regional revitalization. Korea Institute of Local Administration Basic Research Project, 1-155.
- Kim, H. R., & Heo, C. U. (2012). The relationships among tourist attractiveness, satisfaction, and behavioral intention of culture tourism-oriented traditional markets. International Journal of Tourism Management and Sciences, 26(6), 141-155.
- Kim, S. W., & Yang, K. D. (2022). Topic model augmentation and extension method using LDA and BERTopic. Journal of the Korean society for information management, 39(3), 99-132.
- Kim, Y. K., Ki, S. H., & Lim, J. (2011). A study on the meaning & classification of conventional markets. Journal of Distribution Science, 9(2), 83-95. https://doi.org/10.15722/JDS.9.2.201106.83
- KLIC (2002). KLIC Korean Law Information Center: KLIC), National Law Information Center. Act on Special Measures for Structural Improvement of Small and Medium Enterprises and Vitalization of Traditional Markets, 2 § 3 (2002). https://www.law.go.kr/LSW/lsInfoP.do?lsiSeq=53539#0000
- KLIC (2004). Special Act on Promotion of Traditional Markets, 2 § 1(2004). https://law.go.kr/LSW/lsInfoP.do?lsiSeq=60202#0000
- KLIC (2013). Special Act on Promotion of Traditional Markets and Shopping Districts, 2 § 1 (2010). https://www.law.go.kr/%EB%B2%95%EB%A0%B9/%EC%A0%84%ED%86%B5%EC%8B%9C%EC%9E%A5%EB%B0%8F%EC%83%81%EC%A0%90%EA%B0%80%EC%9C%A1%EC%84%B1%EC%9D%84%EC%9C%84%ED%95%9C%ED%8A%B9%EB%B3%84%EB%B2%95
- Ko, J. W., & Boo, S. J. (2007). Analysis on local festival service quality gap model: Based on Ratio SERVQUAL. International Area Studies Review(IASR), 11(3), 912-935.
- Ko, Y. S., Lee, S. B., Cha, M. J., Kim, S. D., Lee, J. H., Ham, J. Y., & Song, M. (2022). Topic modeling insomnia social media corpus using BERTopic and building automatic deep learning classification model. Korean Society for Information Management, 39(2), 111-129.
- Lee, D. H., & Park, I. C. (2015). Local festival experiences on the affected area using a traditional market behavior. Journal of MICE & Tourism Research (JMTR), 15(3), 73-87.
- Lee, J. M., Kim, Y. N., & Jeong, N. H. (2018). Analysis of traditional market functions as a complex cultural space through the introduction of small cinema: A case of Yeongcheon traditional market. The Journal of Humanities and Social Science, 9(5), 1037-1050.
- Lee, S. H., Kim, Y. P., & Yun, D. G. (2004). A study on the analysis of service quality attribute using Fuzzy numbers in public sector. Journal of the Society of Korea Industrial and Systems Engineering. 27(4), 94-104.
- Lim, H. C. (2014). Vitalizing traditional markets by launching franchise restaurants in vacant spaces: Focusing on Daegu-si. Tourism Research, 39(4), 65-82.
- Lu, H. M., Wei, C. P., & Hsiao, F. Y. (2016). Modeling healthcare data using multiple-channel latent Dirichlet allocation. Journal of biomedical informatics, 60, 210-223.
- Oh, S. S., & Yoon, Y. J. (2020). The effect of experience quality of Chinese tourists in Korean traditional market on experience memory, experience satisfaction and tourism behavior intention: Focusing on Seoul traditional market. Journal of Hospitality and Tourism Studies, 22(1), 75-90.
- Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460-469. https://doi.org/10.1177/002224378001700405
- Nguyen, V. T., & Choi, S. H. (2022). Effects of shopping tourism choice attributes on tourism satisfaction and behavioral intention of consumers in Korean traditional markets: Focusing on Vietnamese tourists visiting Korea. International Journal of Tourism and Hospitality Research, 36(9), 19-33. https://doi.org/10.21298/IJTHR.2022.9.36.9.19
- Noh, H. K., Jeong, H. Y., & Park, C. S. (2022). A study on revitalization measures for traditional market business using AHP. Korea Research Academy of Distribution and Management Review, 25(6), 143-158.
- Parasuraman, A., Zeithaml, V. A., & Berry, L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12-40.
- Park, H. N., & Park, S. H. (2017). Vibrant traditional markets in small residential neighborhoods: A case study of their urban-spatial characteristics in Gwanak-gu district, Seoul. Journal of the Architectural Institute of Korea (JAIK), 33(12), 73-83.
- Park, J. C. (2016). A study on the differences of traditional market visitors' satisfaction and behavior intention according to lifestyle. Journal of Hospitality and Tourism Studies, 18(1), 307-323.
- Park, J. H. (2016). IPA analysis of the traditional markets of the selection attribute of MICE participants: Mainly in Daejeon. Journal of MICE & Tourism Research (JMTR), 16(3), 23-35.
- Park, K. S. (2012). Could art save a market place?: A case study on Dae-In traditional market in Gwangju city. Journal of Democracy and Human Rights, 12(1), 85-119.
- SEMAS (2021). 2020 Traditional market, shopping mall, and store management survey result report. Daejeon: Small Enterprise Market Corporation (SEMAS).
- Shin, C. H., & Moon, K. I. (2004). A study on the introduction strategy of E-commerce system to traditional markets. Seoul Studies, 5(2), 91-103. https://doi.org/10.23129/SEOULS.5.2.200406.91
- Xie, W., Zhu, F., Jiang, J., Lim, E. P., & Wang, K. (2016). Topicsketch: Real-time bursty topic detection from twitter. IEEE Transactions on Knowledge and Data Engineering, 28(8), 2216-2229. https://doi.org/10.1109/TKDE.2016.2556661
- Yang, W. R., & Yang, H. C. (2022). Topic modeling analysis of social media marketing using BERTopic and LDA. Journal of Industrial Distribution & Business, 13(9), 39-52.
- Yang, W. R., Yang, H. C. (2023). Exploring depression research trends using BERTopic and LDA. Korean Journal of Food & Health Convergence 9(1), 19-28.
- Yeo, Y. M., Kim, H. J., & Yang, S. M. (2022). A study on the effects of service quality on customer satisfaction and revisit intention in the traditional market using R-SERVQUAL model: Focused on the Gangwon-do Wonju Jungang Central Market. Korean Policy Sciences Review, 26(1), 205-234. https://doi.org/10.31553/kpsr.2022.3.26.1.205