• Journal of Digital Convergence
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• v.14 no.3
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• pp.135-141
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• 2016

This paper was conducted to verify the relationship of understanding of learning, service quality, efficiency of convergence e-business valuation. For this paper, it surveyed 179 students and the data were collected Nov. 2~30, 2015. This research analyzed all the samples through ANOVA, t-test utilized by SPSS 22.0 The results as follow. First, understanding of learning, service quality, efficiency had statistically significant difference according to gender. Second, understanding of learning, service quality, efficiency showed statistically significant difference according to grade. The results of this study reveal the fact that the general characteristics like gender and grade made difference to the understanding of learning, service quality, efficiency. Furthermore, this paper may need to include various variables of understanding of learning, service quality, efficiency and suggest research about several university.

• The Journal of Small Business Innovation
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• v.20 no.2
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• pp.51-66
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• 2017

Online and wireless communications have dramatically changed the contents industry marketplace. Content transactions are now instantaneous as distribution channels move from the 'mart' to smart platforms, creating opportunities for content creators large and small. Yet with opportunity comes the threat of imbalance in the industry ecosystem. In order to ensure the health and diversity of an industry that relies so heavily on the welfare of small creative enterprises, it is essential to establish rules for the fair transaction of content rights. Several structural forces may work against such rules: first, the industry consists of a large number of small distributor intermediary businesses (e.g. major publishers); second, end distributors (e. g. platforms) maintain a superior, monopsony position; and third, economic valuation of content is difficult. In terms of acquisition business model, rights transactions can be classified into three general models: (1) license model, (2) original acquisition model, and (3) monopsony model. This study explores the publishing industry in detail, considering key statutes and their operation across the models. From analysis of Korea and the US statutes and case law, and decisions of the Fair Trade Commission (FTC) of Korea, we offer evaluation criteria for discerning between fair and unfair content rights transactions. We further recommend industry practice that may enhance the likelihood for fair content rights transactions, and thus a thriving publishing ecosystem.