Diversification of consumer needs and digitization change the music industry more competitive. Record labels must raise the hit probability in the music marketing. However, most of music marketing researches are qualitative. In this paper, the hit factors of J-POP music are analyzed with Kansei information processing. Concretely, 25 J-POP music songs of the Oricon yearbook 2007 are analyzed by the semantic differential method and factor analysis. Moreover, Kansei J-POP hit factor analysis is evaluated by interview surveys of two business persons in music industry.
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