A study of applying qualia to business model of creative industries

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Abstract

The experiential economy has entered our life affecting many products with cultural connotations and changing people's lifestyles. It also displays cultural and creative industries that would be outstanding in the world. Chinese culture is the basis for the superior cultural and creative industries in Taiwan. Do the products evoke the sensation and emotion of consumers which designed in culture of value-added? Does the factor correlation between culture style and cultural-products? Are the business models of cultural and creative Industries and cultural-products of Qualia closely related? All of these questions are worthy of further exploration. Based on information analysis and literature review this study presented a framework applicable to any kind of Qualia products and culture and creative industries. The findings are as followed: (1) Cultural style is really enough to affect the design of cultural-products; (2) Successful products should conform to the five factors of Qualia: Attractiveness, Beauty, Creativity, Delicacy and Engineering; successful culture and creative industries should conform to the aesthetic economy business model. Taiwan has the advantage that value-added from Qualia to business model of cultural and creative industry is a presentation of the cultural connotation. Flourishing cultural and creative industries need a start in Taiwan. Marketing and brand building need to be extended by aesthetic from the economy business model to be outstanding in the global marketing in the future. This study includes the relation between cultural-products and consumers, Qualia products and business model exchange platform, international marketing operations and national support and counseling policies for a follow-up study issue. © 2013 Springer-Verlag Berlin Heidelberg.

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APA

Yen, H. Y., Lin, C., & Lin, R. (2013). A study of applying qualia to business model of creative industries. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8023, pp. 148–156). Springer Verlag. https://doi.org/10.1007/978-3-642-39143-9_17

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