JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Big Data and Entertainment Content : Case Studies and Prospects
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Big Data and Entertainment Content : Case Studies and Prospects
Kim, Hae Won; Lee, Mina;
  PDF(new window)
 Abstract
Big data, thanks to the development of data sciences, has been key words for economic development and governmental policies. This study reviewed how big data has been used with entertainment contents since the uses of big data in the fields have been more popular and the cases making successful business have been reported. To do ends, the changes in production, distribution, and consumption of entertainment contents have been characterized and prime cases have been introduced. Furthermore, Korean production companies of entertainment contents, Bloter and NEOTOUCHPOINT, were selected to investigate how big data has been utilized. It was found that the companies used big data to analyze consumers` behaviors and gain insights of content creation, such as identifying specific elements of enjoyments and conditions to share the contents with others. The domestic entertainment companies are preparing a full-scale of use of big data but, in order to take advantage of big data, collaboration between developers and experts in the field and specific goal-setting and model building are recommended.
 Keywords
Big Data;Korean entertainments contents business;BLOTER;NEOTOUCHPOINT;
 Language
Korean
 Cited by
 References
1.
National Information Society Agency, "New Engine for New Value, Opportunity of Big Data and Strategies of Use", IT&Future Strategy. Issue 18, 2011. http://www.bigdataforum.or.kr/?act=bbs&subAct=view &bid=report&page=2&order_index=title&order_type=a sc&list_style=list&seq=17

2.
Kim, Sung-Tae. "Methodological Extension and Discussions in Use of Big Data for Communication Studies", Proceedings of Korean Association for Broadcasting & telecommunication Studies. pp.13-41, 2014.

3.
National Information Society Agency, "White Paper for 2012 National Informatization; Strategies for Development", 2012.

4.
National Information Society Agency, "Cases of Global Businesses Utilizing Big Data in 2015", Seoul, 2015.

5.
Lee, Jae-Hyun, "Big Data and Social Sciences: Epistemological and Methodological Issues", Communication Theories, Vol 9, Issue 3, pp.127-165, 2013. http://www.dbpia.co.kr/view/arview.asp?arid=2238605

6.
Kim, Ye-ran, "Cultural Critique of big Data: In the Perspective of Michel Foucault's Biopolitics", Communication Theories, Vol 9, Issue 3, pp.166-203, 2013. http://www.dbpia.co.kr.access.ewha.ac.kr/Article/NOD E02238607

7.
Kim, Hae-won, Making 'Quality Drama'-A Case Study on the KBS Production Process, Master Thesis, Ewha Womans University, 1997.

8.
Perrow, C., Television: The directors viewpoint, Boulder, CO:Westview Press, 1978.

9.
Thompson, J. D., Organization in Action, New York: McGraw-Hill, 1967.

10.
Caves, R.E., Creative Industries, Cambridge and London, Harvard University Press, 2000.

11.
Kim, Sunhyuk & Dongyoub Shin "Uncertainty- Reduction Strategies and Performances of Korean Movies", Journal of Strategic Management, 14(2), pp. 1-28, 2011. http://www.dbpia.co.kr.access.ewha.ac.kr/Article/NOD E01681162

12.
Faulkner, R.R. and A.B. Anderson, "Short-term projects and emergent ca- reers: Evidence from Hollywood," American Journal of Sociology, 92(4), pp.879-909, 1987. DOI: 10.1086/228586 crossref(new window)

13.
Bielby, W.T. and D.D. Bielby "All hits are flukes": Institutionalized decision making and the rhetoric of network prime-time program development," American Journal of Sociology, 99(5), pp.1287-1313.1994. DOI:10.1086/230412 crossref(new window)

14.
Peretti, Jonah, Lessons from BuzzFeed, South by Southwest (SXSW) in Austin, Texas, 2015. https://www.youtube.com/watch?v=V9gBNBHmA8

15.
http://barker.co.uk/buzzfeediswatching

16.
Lee, Jung-Hwan,"Buzzfeed Doesn't Get Traffic for Free", "ㅍㅍㅅㅅ", August 20, 2015. http://ppss.kr/archives/54863

17.
Lee, Sung-Kyu, "Buzz Feed, New Media Riding on Software", ICT-Humanities & Social Science, Special Issue KISDI, p.2, 2014, September.

18.
YouTube, Multi-channel network, https://support.google.com/youtube/answer/2737059

19.
Kim, Hae-Won, & Chae-Nam, Jun, "An Exploratory Study on Content Creation Methods Utilizing Big Data : Linguistic and Story Resources for Effective Creation of TV Home Shopping Content, Journal of Cybercommunication Academic Society, Vol.31, Issue 3, pp.5-51,2014. http://www.dbpia.co.kr/Article/NODE02500597

20.
Ham, You-Keun. "This Is the Big Data Company, Future Business is Being Realized". p.297, Samsung Economic Research Institute, Seoul. 2015.

21.
Park, Byung-Jong, "For Your Own Tastes of Movies and Web-toons...Recommentation Services gets popular", The Korea Economic Daily, December 18, 2014. http://www.hankyung.com/news/app/newsview.php?aid =2014120817081

22.
Lee, Sung-Kyu. "Conference on Future Journalism", Media Today, September 7, 2015.

23.
Seo, Jung-Bo, "Buzzfeed, the Precedent of Pikicast, Renewed the Ways of Content Creation and Distribution... New York Times Pointing as a Rival",Dong-A DailyNewspaper, June 24, 2015. http://news.donga.com/rel/3/all/20150624/72077309/1

24.
Cho, Young-Shin, "Netflix's Big Data, A Point of Contact with Humanistic Imagination", ICT-Humanities & Social Science, KISDI, March, 2014. http://kisdi.re.kr/imagedata/pdf/14/1420140102.pdf

25.
Kim, Young-Chun, "Qualitative Methodology I: Briocoleur", 2nd Ed, Academic Press, Seoul, 2011.

26.
Chang, Seul-Ki, "What is Evergreen Contents? What matters Is Quality", Media Today,August26,2015. http://www.mediatoday.co.kr/news/articleView.html?id xno=124700