![]() ![]() The results are compared against those of another topic model performed on Billboard song lyrics. This research then performs a Latent Dirichlet Allocation (LDA) topic model on K-pop song lyrics to determine if there are differences in topic distributions between internationally successful K-pop songs and just domestically successful K-pop songs. This study also extracts sonic features from Spotify and uses machine learning techniques to perform a logistic regression and determine if the novelty or typicality of K-pop songs compared to popular American songs is predictive of international success. By applying qualitative models like CAGE and Mode of Entry models from multinational management, this study finds that K-pop firms have relied on strategic partnerships to distribute music and mitigate cultural and administrative risks, but future goals of owning digital platforms and exporting the K-pop business model will require a stronger presence. This thesis explains the factors that drive K-pop’s unique success in the United States. Korean pop music (K-pop) has exploded in popularity around the world, first spreading to neighboring countries before successfully expanding into countries with greater cultural distances, challenging conventional wisdom.
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