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1
김성희 (2025). 불확실성과 가능성의 공존: 2024년 한국 영화산업 결산 보고서 요약 분석, 한국영화. https://magazine.kofic.or.kr/webzine/web/index.do?mainid=46, 2026년 1월 접속. (Kim, S. H. (2025). “Coexistence of Uncertainty and Opportunity: A Summary Analysis of the 2024 Korean Film Industry Report,” Korea Film Council. https://magazine.kofic.or.kr/webzine/web/index.do?mainid=46, retrieved January 2026.) Google Scholar ›
2
김은주(2021). “코로나 19 한국영화산업 통계 분석.” 영상기술연구, 제1권 37호, pp.119-135. (Kim, E. J. (2021). “Statistical Analysis of the Korean Film Industry for COVID-19,” Journal of the Moving Image Technology Association of Korea, 1(37), pp.119-135.) Google Scholar ›
3
김정호(2015). “영화 흥행 집중도와 상영 스크린 집중도로 살펴본 한국 영화산업 10 년.” 한국콘텐츠학회논문지, 제15권 5호, pp.151-167. (Kim, J. H. (2015). “Last Ten Years of Korean Movie Industry through the Analysis on the Concentrations of Film Admission and Screening,” Journal of the Korea Contents Association, 15(5), pp.151-167.) Google Scholar ›
4
박승현, 이푸름(2020). “한국 영화시장의 집중화 현상에 대한 논의: 흥행영화의 공급과 소비를 중심으로,” 한국엔터테인먼트산업학회논문지, 제14권 6호, pp.109-124. (Park, S. H. and Lee, P. R. (2020). “A Study on Centralization of the Korean Film Market: Focusing on the Supply and Consumption of the Top 100 Movies,” Journal of the Korea Entertainment Industry Association, 14(6), pp.109-124.) Google Scholar ›
5
박영은, 김상훈, 박현정, 이동기(2010). “한국영화의 수익성 영향요인에 대한 탐색적 연구,” 경영학연구, 제39권 2호, pp.459-488. (Park, Y. E., Kim, S. H., Park, H. J. and Lee, D. K. (2010). “Exploratory Study on the Factors Influencing the Profitability of Korean Movies,” Korea Management Review, 39(2), pp.459-488.) Google Scholar ›
6
사영준, 유승호(2019). “영화산업에서의 소비 집중도와 산업의 성장성의 관계: 49개국의 영화 흥행 데이터를 중심으로,” 문화산업연구, 제19권 2호, pp.1-8. (Sa, Y. J. and Yoo, S. H. (2019). “Relationship between Concentration of Consumption and Growth of the Market in an Entertainment Industry: Analysis of Movie Box-office in 49 Countries,” Journal of Culture Industry, 19(2), pp.1-8.) Google Scholar ›
7
성영신, 박진영, 박은아 (2002). “온라인 구전정보가 관람 의도에-‘기대’를 중심으로,” 광고연구, 제57권, pp. 31-52. (Sung, Y., Park, J. Y. and Park, E. A. (2002). “The Influence of On-line Word of Mouth Information on Viewing Intention toward Motion Picture,” Advertising Research, 57, pp. 31-52.) Google Scholar ›
8
영화진흥위원회 (2024). 2023년 한국 영화산업 결산. https://www.kofic.or.kr/kofic/business/rsch/findPolicyDetail.do?board Number=39&policyNo=6567, 2026년 1월 접속. (Korean Film Council (2024). Review of the Korean Film Industry in 2023. https://www.kofic.or.kr/kofic/business/rsch/findPolicyDetail.do?board Number=39&policyNo=6567, retrieved January 2026.) Google Scholar ›
9
유혜민, 김현우, 이진 (2025). “한국 극장 재개봉 영화의 큐레이션 특성 연구,” 만화애니메이션연구, 제80호, pp.355-379. (Yoo, H. M., Kim, H. W. and Lee, J. (2025). “A Study on the Curation Characteristics of Korean Theatrical Re-releases,” Cartoon & Animation Studies, 80, pp. 355-379.) Google Scholar ›
10
이유석, 차경천, 김상훈 (2016). “인터넷 정보 검색 행동과 영화 흥행의 상관관계에 대한 연구,” 경영학연구, 제45권 5호, pp.1501-1526. (Lee, Y. S., Cha, K. C. and Kim, S. H. (2016). “Internet Search Behavior and Box Office Performance,” Korean Management Review, 45(5), pp.1501-1526.) Google Scholar ›
11
이중원, 박철 (2020). “온라인 리뷰 특성이 영화 매출액에 미치는 영향: 한국과 미국의 비교,” 경영학연구, 제49권 6호, pp.1575-1594. (Lee, J. W. and Park, C. (2020). “The Effect of Online Reviews on Movie Sales: A Comparison of Korea and US,” Korea Management Review, 49(6), pp.1575-1594.) Google Scholar ›
12
최서영, 고석주, 이형묵, 김성진 (2021). “영화 입장권 통합 전산망 기반 재개봉 영화 도출 및 분석,” 한국컴퓨터정보학회 학술대회 논문집, pp.97-99. (Choi, S. Y., Go, S. J., Lee, H. M. and Kim, S. J. (2021). “Korea Box-office Information System-based Re-release Movie Extraction and Analysis,” Proceedings of the Korean Society of Computer Information Conference, pp.97-99.) Google Scholar ›
13
Adler, M. (1985). “Stardom and talent,” The American Economic Review, 75(1), 208-212. Google Scholar ›
14
Anderson, C. (2006). The long tail: why the future of business is selling less of more. 1st ed., Hyperion, New York. Google Scholar ›
15
Brynjolfsson, E., Hu, Y. and Smith, M. D. (2010). “Research commentary—long tails vs. superstars: The effect of information technology on product variety and sales concentration patterns,” Information Systems Research, 21(4), pp.736-747. Google Scholar ›
16
Cabral, L. and Natividad, G. (2016). “Box-office demand: the importance of being #1,” The Journal of Industrial Economics, 64(2), 277-294. Google Scholar ›
17
Chu, C.Y.C. and Wang, Y.-T. (2021). “Gini coefficient versus top income shares-pattern change differences,” Economics Letters, 201, 109769. Google Scholar ›
18
De Vany, A. S. and Walls, W. D. (1999). “Price dynamics in a network of decentralized power markets,” Journal of Regulatory Economics, 15(2), 123-140. Google Scholar ›
19
Elberse, A. (2013). Blockbusters: Hit-making, risk-taking, and the big business of entertainment. Henry Holt and Company. Google Scholar ›
20
Eliashberg, J., Elberse, A. and Leenders, M. A. (2006). “The motion picture industry: Critical issues in practice, current research, and new research directions,” Marketing Science, 25(6), 638-661. Google Scholar ›
21
Fleder, D. and Hosanagar, K. (2009). “Blockbuster culture's next rise or fall: The impact of recommender systems on sales diversity,” Management Science, 55(5), pp.697-712. Google Scholar ›
22
Gastwirth, J. L. (2017). “Is the Gini index of inequality overly sensitive to changes in the middle of the income distribution?” Statistics and Public Policy, 4(1), pp.1-11. Google Scholar ›
23
Huang, P., Lurie, N. H. and Mitra, S. (2009). “Searching for experience on the web: An empirical examination of consumer behavior for search and experience goods,” Journal of Marketing, 73(2), pp.55-69. Google Scholar ›
24
Naziri, D., Belton, B., Loison, S. A., Reardon, T., Shikuku, K. M., Kaguongo, W., ... and Obiero, K. (2023). “COVID-19 disruptions and pivoting in SMEs in the hidden middle of Kenya’s potato and fish value chains,” International Food and Agribusiness Management Review, 26(3), pp.409-434. Google Scholar ›
25
Rosen, S. (1981). “The economics of superstars,” The American Economic Review, 71(5), pp.845-858. Google Scholar ›
26
Tan, T. F., Netessine, S. and Hitt, L. (2017). “Is Tom Cruise Threatened? An Empirical Study of the Impact of Product Variety on Demand Concentration,” Information Systems Research, 28(3), pp.643-660. Google Scholar ›
27
Tanusondjaja, A., Dunn, S. and Miari, C. (2021). “Examining Manufacturer Concentration Metrics in Consumer Packaged Goods,” International Journal of Market Research, 63(4), pp.471-493. Google Scholar ›
28
Trusov, M., Bucklin, R. E. and Pauwels, K. (2009). “Effects of word-of-mouth versus traditional marketing: findings from an internet social networking site,” Journal of Marketing, 73(5), pp.90-102. Google Scholar ›
29
Weinstock, D. S. (1982). “Using the Herfindahl Index to measure concentration,” The Antitrust Bulletin, 27(2), pp.285-301. Google Scholar ›
30
Yang, Y., Choo, S. and Limb, S. J. (2023). “Vertical integration strategies and environmental uncertainty: China’s film industry,” SAGE Open, 13(1), 21582440231156351. Google Scholar ›

코로나19 이후 한국 영화시장의 구조적 변화: 전술적 롱테일 현상