• The Journal of the Korea Contents Association
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• v.7 no.5
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• pp.166-173
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• 2007

This study analyzed the valuation of stock market for marketability of mobile contents. We investigated, during the period of 2002 to 2005, the anormal returns of each firms which announced the launching of new mobile contents. As a result, we found statistically significant average abnormal return(AAR) at launching day of new mobile contents. And the meaningful average cumulative abnormal returns(ACAR) are observed during event period. Which means that the launching announcement of new mobile contents leads to statistically significant positive abnormal returns at stock market. Therefore, we concluded that stock market react immediately to new mobile contents, and which valuate only specific value but also implied value of contents.

• Journal of the Korea Convergence Society
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• v.9 no.9
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• pp.177-182
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• 2018

Recently, the use of SNS has been steadily increasing in the 40s and 50s in Korea. In order to increase the number of users in the global service brand, such as Instagram, facing the limit situation of new users, 40 ~ 50 new entrants are needed. However, 40 ~ 50s in Korea are not easily able to use these services because they have difficulties in these services. In this study, usability test is performed in terms of UX / UI about what is difficult for users in 40 ~ 50s to use in instagram, and what is the barriers to entry compared to domestic service The results are as follows. First, when localizing a global service, it is easy to understand, not a simple translation, and proper labeling should be considered. Second, major and frequently used functions should be considered to be intuitive to simplify the depth. Third, the design should be improved to increase the recognition rate of icons in terms of GUI. If possible, the combination of text and icons provided good results.

• Environmental and Resource Economics Review
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• v.31 no.4
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• pp.571-595
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• 2022

This study theoretically analyzes the cost allocation of replacement costs that occur when existing operators have to replace circuit breakers due to the entry of new generators. We adopt the sequential equal contributions rule as the cost allocation rule, which is widely used in cost allocation problems in cooperative game theory. We derive various cost allocation plans based on several criteria and examine to what extent each alternative meets various desirable axioms. According to the analysis, (i) the alternative that excludes the cost of the new operator, residual value, and network operator and (ii) the alternative that excludes the cost of the new operator, residual value, and includes network operator are relatively superior to other schemes. We also identify a realistic plan by taking into account practical factors and analyze its axiomatic characteristics.

• Journal of Distribution Research
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• v.17 no.3
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• pp.115-132
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• 2012

This study empirically examines the impact of SSM market entry on changes in market shares among retailing types. The data is monthly time-series data spanning over the period from January 2000 to December 2010, and the effect of SSM market entry on market shares of retailing types is analyzed by utilizing several key factors such as the number of new SSM monthly entrants, total number of SSMs, the proportion of new SSM entrant that is smaller than $165m^2$ to total new SSM entrants. According to the Korean Standard Industrial Classification codes, the retailing type is classified into 5 groups: department stores, retail sale in other non-specialized large stores(big marts), supermarkets, convenience stores, and retail sale in other non-specialized stores with food or beverages predominating (others). The market shares of retailing types are calculated by the ratio of each retailing type monthly sales to total monthly retailing sales in which total retailing sales is the sum of each retailing type sales. The empirical model controls for the size effects with the number of monthly employees for each retailing type and the macroeconomic effects with M2. The empirical model employed in this study is as follows; $$MS_i=f(NewSSM,\;CumSSM,\;employ_i,\;under165,\;M2)$$ where $MS_i$ is the market share of each retailing type (department stores, big marts), supermarkets, convenience stores, and others), NewSSM is the number of new SSM monthly entrants, CumSSM is total number of SSMs, $employ_i$ is the number of monthly employees for each retailing type, and under165 is the proportion of new SSM entrant that is smaller than $165m^2$ to total new SSM entrants. The correlation among these variables are reported in