References
- Brown, J. J. and Reingen, P. H. (1987). Social Ties and Word of Mouth Referral Behavior. Journal of Consumer Research, 14(3), 350-362. https://doi.org/10.1086/209118
- Chin, H. S., Marasini, D. P. and Lee, D. H. (2023). Digital Transformation Trends in Service Industries. Service Business, 17(1), 11-36. https://doi.org/10.1007/s11628-022-00516-6
- Cho, H., Kang, S. and Ryu, M. H. (2021). An Analysis of OTT Service Review Using Text Mining: Focusing on the Competitive Advantage of Local Service. The Journal of Korean Institute of Communications and Information Science, 46(4), 722-733. https://doi.org/10.7840/kics.2021.46.4.722
- Cho, K. W. and Han, N. Y. (2021). Research Trends on Emotional Labor in Korea Using Text Mining. Journal of the Korea Industrial Information Systems Research, 26(6), 119-133. https://doi.org/10.9723/JKSIIS.2021.26.6.119
- Cooper, H. B., Ewing, M. T. and Mishra, S. (2022). Text-Mining 10-K (annual) Reports: A Guide for B2B Marketing Research. Industrial Marketing Management, 107, 204-211. https://doi.org/10.1016/j.indmarman.2022.10.001
- Griffiths, T. and Steyvers, M. (2004). Finding Scientific Topics. Proceedings of the National Academy of Sciences, 101, 5228-5235. https://doi.org/10.1073/pnas.0307752101
- Jang, S. I. (2018). Industrial Structure Change Direction and Policy Issues in the Fourth Industrial Revolution. The Korea Spatial Planning Review, 424, 22-30.
- Ji, Y. H. and Yang, S. Y. (2016). A Qualitative Case Study on Activation of Creative Tourism through the Convergence of Medical Tourism Service: Focused on Local Governance's Political Trends and Roles. International Journal of Tourism Management and Sciences, 31(4), 151-170.
- Jeong, E. B. (2022). A Study on Negative Word-of-Mouth Virality of Social Media Using Big Data Analysis: From the Supply Chain Risk's Perspective. Journal of the Korea Industrial Information Systems Research, 27(2), 163-176. https://doi.org/10.9723/JKSIIS.2022.27.2.163
- Jeong, E. B. and Kim, D. S. (2018). A Systematic Literature Review on Service Research: Focus on Bibliometrics and Keyword Network Analyses. Journal of Korea Service Management Society, 19(4), 267-291. https://doi.org/10.15706/jksms.2018.19.4.013
- Jung, O. and Park, C. (2021). Effect of Traditional Digital Points in Beauty Stores on Ease of Decision Making and Satisfaction: Moderating Effect of Untact Tendency. Services Marketing Journal, 14(2), 77-92.
- Kang, J. W. and Young, N. (2021). Understanding Consumers' Perceptions of the Fresh-Food Delivery Platform Service Based on Big Data: Using Text Mining and Semantic Network Analysis. Korean Journal of Hospitality and Tourism, 30(2), 37-52. https://doi.org/10.24992/KJHT.2021.2.30.02.37
- Kim, M. S. and Kim, J. (2022). Research on the Users' Inquiries on the Easy Payment Services Using Text Mining Method, Journal of Korea Multimedia Society, 25(2), 269-279. https://doi.org/10.9717/KMMS.2022.25.2.269
- Kim, H. J., Lee, T., Ryu, S. E. and Kim, N. (2018). A Study on Text Mining Methods to Analyze Civil Complaints: Structured Association Analysis. Journal of the Korea Industrial Information Systems Research, 23(3), 13-24. https://doi.org/10.9723/JKSIIS.2018.23.3.013
- Ko, M. H. (2023). Public's Perception of Airport Bio-Metric Service in Airport Confirmed through Social Media: Using Text Mining Techniques. Journal of Tourism & Leisure Research, 35, 397-312.
- Ko, M. and Lee, S. (2021). A Comparative Analysis of OTT Service Reviews Before and After the Onset of the Pandemic Using Text Mining Technique: Focusing on the Emotion-Focused Coping and Nostalgia. The Journal of the Korea Contents Association, 21(11), 375-388. https://doi.org/10.5392/JKCA.2021.21.11.375
- KOSTAT (2018). https://kostat.go.kr/board.es?mid=a10502120100&bid=3240&act=view&list_no=71996&tag=&nPage=1&ref_bid=3240, 3241
- Kwon, H. J. and Jun, J. K. (2020). The Exploratory Study on Accommodation Sharing Service of the Airbnb Utilizing Text Mining Technique. Culinary Science & Hospitality Research, 26(8), 143-153.
- Lee, S. M. and Rha, J. S. (2018). A Network Text Analysis of Published Papers in Service Business, 2007-2017: Research Trends in the Service Sector. Service Business, 12, 809-831. https://doi.org/10.1007/s11628-018-0377-6
- Lee, B., Oh, J., Leem, S., Shon, W. and Moon, J. (2023). A Case Study on Big Data Processing and Analysis Based on Text Mining: Focusing on Amazon Web Services in South Korea. The Journal of Society for e-Business Studies, 28(2), 53-74. https://doi.org/10.7838/jsebs.2023.28.2.053
- Lim, C., Ha, J. S., Cho, K. H. and Ha, H. K. (2021). Analyzing Customers' Perception of Service and Market Trends in Fresh Food E-commerce: Application of Text Mining Techniques. The Journal of Internet Electronic Commerce Research, 21(4), 169-182. https://doi.org/10.37272/JIECR.2021.06.21.4.169
- Pew Research Center (2023). https://www.pewresearch.org/short-reads/2023/04/24/teensand-social-media-key-findings-from-pew-research-center-surveys/
- OECD (2008). Productivity Growth in Services. OECD Facebook
- Oh, Y. and Yi, J. (2023). Determinants of Online Food Delivery(OFD) Sales during COVID-19. Global Business and Finance Review, 28(2), 93-106. https://doi.org/10.17549/gbfr.2023.28.2.93
- Rha, J. S. (2022). Analysis of Factors Affecting Surge in Container Shipping Rates in the Era of Covid 19 Using Text Analysis. Journal of the Korea Industrial Information Systems Research, 27(1), 111-123.
- Rha, J. S. (2022). Review of ESG Challenges in Supply Chain Management Using Text Analysis. Journal of the Korea Industrial Information Systems Research, 27(5), 145-156. https://doi.org/10.9723/JKSIIS.2022.27.5.145
- Rha, J. S. and Lee, H. H. (2022). Research Trends in Digital Transformation in the Service Sector: A Review Based on Network Text Analysis. Service Business, 16, 77-98. https://doi.org/10.1007/s11628-022-00481-0
- Roy, S. K., Singh, G., Hope, M., Nguyen, B. and Harrigan, P. (2019). The Rise of Smart Consumers: Role of Smart Servicescape and Smart Consumer Experience Co-creation. Journal of Marketing Management, 35(15-16), 1480-1513. https://doi.org/10.1080/0267257X.2019.1680569
- Scholz, J. and Duffy, K. (2018). We are at Home: How Augmented Reality Reshapes Mobile Marketing and Consumer Brand Relationships. Journal of Retailing and Consumer Services, 44(4), 11-23. https://doi.org/10.1016/j.jretconser.2018.05.004
- Shin, H. J. (2018). An Exploratory Study on the Experience of Service Convergence in the Social Welfare Field. Korea Convergence Society, 9(9), 319-327.
- Tsiotsou, R. H. and Boukis, A. (2022). In-Home Service Consumption: A Systematic Review, Integrative Framework and Future Research Agenda. Journal of Business Research, 145, 49-64. https://doi.org/10.1016/j.jbusres.2022.02.050
- World Bank (2022). https://data.worldbank.org/indicator/SL.IND.EMPL.ZS
- Yang, D. H., Kim, S., Nam, C. and Moon, J. S. (2004). Fixed and Mobile Service Convergence and Reconfiguration of Telecommunications Value Chains. IEEE Wireless Communication, 11(5), 42-47. https://doi.org/10.1109/MWC.2004.1351680