- 권한신청
- P-ISSN1738-3110
- E-ISSN2093-7717
- SCOPUS, ESCI
Predicting Arab Consumers' Preferences on the Korean Contents Distribution
Predicting Arab Consumers’ Preferences on the Korean Contents Distribution
Chaffar, Soumaya (College of Computer and Information Sciences, Prince Sultan University)
Kim, Myoung-Sook (Future Convergence Industry College, Seoul Women's University)
Ko, Hye-Young (Future Convergence Industry College, Seoul Women's University)
Abstract
Purpose - This study aims to examine the analysis of pattern on Arab countries consumers' preferences of the Korean Contents using social media, Facebook since Korean entertainment contents have been distributed in the global marketplace. Then we focus on developing Predictive model using a Data Mining Technique. Research design, data and methodology - In order to understand preference growth of Korean contents in Arabic countries, we- collected data from two popular Facebook pages: 'Korean movies and drama' and 'K-pop'. Then, we adopted a data-driven approach based on Data Mining techniques. Results - It is obvious that the number of likes for K-pop will increase for all North African and Middle Eastern countries, however concerning Korean Movies and Drama except Tunisia it is decreasing for Algeria, Egypt and Morocco. Also, concerning Saudi Arabia and United Arab Emirates, the number of likes will decrease for Korean Movies and Drama which is not the case for Iraq. Conclusions - It is noted in this study that K-contents such as drama, movie and music are sometimes a gateway to a wider interest in Korean culture, food and brands. Moreover, this study gives significant implications for developing predictive model to forecast Korean contents' consumption and preferences.
- keywords
- Korean Wave, Entertainment, Social Media, Data Mining, Predictive Analysis
참고문헌
Ahn, J. H., Oh, S., & Kim, H. (2013) Korean pop takes off! Social media strategy of Korean entertainment industry. Proceedings on the 10th international conference on service systems and service management, 774–777. New York: IEEE.
Amigobulls (2015). How To Predict Stock Market Trends Through Social Media, Retrieved from Amigobulls.com.
Brown (2012). K-pop enters American pop consciousness. The Los Angeles Times, Retrieved from https://www.soshified.com/2012/05/girls-generation-featured-in-la-times-article-k-pop-enters-american-pop-consciousness.
Delen, D., Walker, G., & Kadam, A. (2005). Predicting breast cancer survivability: a comparison of three data mining methods. Artificial Intelligence in Medicine, 34(June), 113-127.
Der-Chiang, L., Che-Jung C., Chien-Chih C., & Wen-Chih C. (2012). Forecasting short-term electricity consumption using the adaptive grey-based approach. Forecasting in Management Science, 40(6, An Asian case, Special Issue), 767–773
Fan, C., Xiao, F., & Wang, S. (2014). Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques. Applied Energy, 127, 1-10.
Hyndman, R. J., & Khandakar, Y. (2008). Automatic time series forecasting: the forecast package for R. Journal of Statistical Software, 26(3), 1–22.
Jenkins, H., Ford, S., & Green, J. (2013). Spreadable Media: Creating Value and Meaning in a Networked Culture. New York: New York University Press
Jin, D. Y., & Yoon, K. (2016). The social media scape of transnational Korean pop culture: Hallyu 2.0 as spreadable media practice, New media & society, 18(7), 2016.
Jung, M. H., Bae, D. I., & Yun, J. C. (2014). The Effects of SNS Characteristics on Purchase Intention. The East Asian Journal of Business Management, 4(3), 19-25.
Jung, S., & Li, H. (2014). Global Production, Circulation, and Consumption of Gangnam Style. International Journal of Communication, 8(2014), 2790–2810.
Jung, S., & Shim, D. (2013) Social distribution: K-pop fan practices in Indonesia and the ‘Gangnam Style’phenomenon. International Journal of Cultural Studies, 17(5), 485–501.
Khana, I., Capozzolia, A., Corgnatia, S. P., & Cerquitellib, T. (2013). Fault Detection Analysis of Building Energy Consumption Using Data Mining Technique, Energy Procedia, 42, 557–566
Kim, H. S. (2010). Korean wave spreads in Middle East through TV and tourism, Korean-net. Retrieved from http://www.korea.net/NewsFocus/Society/view?articleId=81446
Kim, Y. (2013). The Korean Wave: Korean Media Go Global. London and New York: Routledge.
Kim, Y. M., Kireyeva, A. A., & Youn, M. K. (2014). Effects of SNS Characteristics upon Consumers’ Awareness, Purchase Intention, and Recommendation, International Journal of Industrial Distribution &Business, 5(1), 27-37.
Korea Creative Content Agency (KOCCA) (2009). Cultural Industry Statistics. Annual Book, KOCCA.
Korea Creative Content Agency (KOCCA) (2013). Korean wave never stops in Japan. Retrieved from http://kormore.com/2013/11/07/korean-wave-never-stops-japan
Lee, C. S. (2008). An analysis of online game evaluation factors using AHP, Journal of e-Business, 9(3), 109-127.
Lee, J. W., Becker, K., & Potluri, R. M. (2016). Antecedents of Corporate Adoption of Social Media and the Role of the Technology Acceptance Model in the Path, Journal of Asian Finance, Economics and Business, 3(2), 67-76.
Lee, J. W., Kwag, M., & Potluri, R. M. (2015). Antecedents of Acceptance of Social Networking Sites in Retail Franchise and Restaurant Businesses, Journal of Asian Finance, Economics and Business, 2(1), 29-36.
Lee, K. H., & Lee, J. H. (2008). A Study on the determinants of international licensing type by Korean online game firms, Research in International Business, 19(2), 107-134.
Mark, J. R. (2012). The Gangnam Phenom. Foreign Policy. Retrieved from http://foreignpolicy.com/2012/09/27/the-gangnam-phenom/
Oh, I., & Lee, H. G. (2013). Mass media technologies and popular music genres: K-pop and YouTube. Korea Journal, 53(4). 34–58.
Oh, I., & Park, G. S. (2012). From B2C to B2B: selling Korean pop music in the age of new social media. Korea Observer, 43(3), 365–397.
Ono, K. A., & Kwon, J. (2013). Re-worlding culture? In:Kim, Y. (ed.). The Korean Wave: Korean Media Go Global. London: Routledge.
Park, G. S. (2013). Manufacturing Creativity: Production, Performance, and Dissemination of K-pop. Korean Journal, 53(4), 14-33.
Park, Y. E. (2015). YG Family, We are One and Number One: based on Eclectic Paradigm (OLI) by J. Dunning, Korean Academy of International Business, 2016 KAIB Conference.
Park, Y. E. (2017). K-Contents: The Successful Strategies for Entertainment companies. Seoul, Korea:Communication Books.
Park, Y. S. (2015). Does the Rise of the Korean Wave Lead to Cosmetics Export. Journal of Asian Finance. Economics and Business, 2(4), 13-20.
Ristanoski, W., L., & Bailey, B. (2013). A time-dependent enhanced support vector machine for time series regression, Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining. 946-954.
Saigal, S., & Mehrotra, D. (2012). Performance comparison of time series data using predictive data mining techniques. Advances in Information Mining, 4(1), 57–66.
Sarvestan, S. A., Safavi, A. A., Parandeh, M. N., & Salehi, M. (2010). Predicting Breast Cancer Survivability using data mining techniques, Software Technology and Engineering (ICSTE), 2nd International Conference, 227-231.
Shim, D. B., & Noh, K. W. (2012). YouTube and Girls’Generation Fandom. Journal of Korean Contents, 12(1), 125-137.
Shweta, K. (2012). Using Data Mining Techniques for Diagnosis and Prognosis of Cancer Disease, International Journal of Computer Science. Engineering and Information Technology, 2(2), 55-66.
Yin, K. S. F., & Liew, K. K. (2005). Hallyu in Singapore:Korean cosmopolitanism or the consumption of Chineseness?. Korean Journal(winter), 206-232.
Yoon, L. (2010). K-Pop Online: Korean Stars Go Global with Social Media. TIME. Retrieved from http://content.time.com/time/world/article/0,8599,2013227,00.html
- 다운로드 수
- 조회수
- 0KCI 피인용수
- 0WOS 피인용수