Bae, J., Shim, B. J., and Kim, B.-D. (2010). Simultaneous effect between eWOM and revenues: Korea movie industry, Asia Marketing Journal, 12, 1-25.
Kim, S. H. and Han, J. M. (2014). An analysis of motion picture box office performance: focusing on Korean movies released in 2012, Institute of Social Science, 53, 191-214.
Kim, S.-Y., Im, S., and Jung, Y. (2010). A comparison study of the determinants of performance of motion pictures: art film vs. commercial film, The Journal of the Korea Contents Association, 10, 381-393.
Kim, Y. H. and Hong, J. H. (2011). A study for the development of motion picture box-office prediction model, The Korean Journal of Applied Statistics, 18, 859-869.
Kim, Y. H. and Hong, J. H. (2013). A study for the drivers of movie box-office performance, The Korean Journal of Applied Statistics, 26, 441-450.
Korean Film Council (2013). 2012 Korean film industry settlement, Korean Film, 35, 20-31.
Korean Film Council (2014). 2013 Korean film industry settlement, Korean Film, 47, 16-33.
Korean Film Council (2015). 2014 Korean film industry settlement, Korean Film, 59, 15-32.
Korean Film Council (2016). 2015 Korean film industry settlement, Korean Film, 71, 12-27.
Lee, I. H. and Cho, S. B. (2014). The analysis of the relationship between the box-office performance and the movie attributes using a quantile regression, Journal of the Korea Management Engineers Society, 19, 117-134.
Liu, Y. (2006). Word of mouth for movies: its dynamics and impact on box office revenue, Journal of Marketing, 70, 74-89.
Park, S.-H., Song, H.-J., and Jung, W.-K. (2011). The determinants of motion picture box office performance: evidence from Korean movies released in 2009-2010, Journal of Communication Science, 11, 231-258.
Sadikov, E., Parameswaran, A., and Venetis, P. (2009). Blogs as predictors of movie success. In Proceedings of the Third International ICWSM Conference, 304-307.
Yim, J. Y. and Hwang, B. Y. (2014). Data engineering: predicting movie success based on machine learning using twitter, KIPS Transactions on Software and Data Engineering, 3, 263-270.