• Journal of Korea Entertainment Industry Association
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• v.14 no.6
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• pp.1-11
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• 2020

With the activation of OTT and VOD services, the viewing behavior is rapidly changing, but the programming regulation has not escaped the ratio regulation in the same way as in the past. Therefore, this paper aims to examine the policy validity of the current organization ratio regulation and to suggest improvement directions based on this. To this end, the policy objectives and background at the time of the introduction of the domestic organization ratio regulation were considered and compared with the current status of the broadcasting market. As a result, this study found that it is difficult to apply the logical framework of asymmetric regulation at the time of the formation ratio regulation into the current status of broadcasting market, the existing framework was established and hold in the mutual relationship of various stake holders formed based on the asymmetric regulation. It was pointed out that the typical pattern of path dependency repeating only fine adjustment of ratio was shown. Based on this, this study suggests that it needs to be divided into the regulation by the public interest and the regulation by the industrial purpose according to the purpose of regulation, and it is necessary to be limited to the direct regulation corresponding to the public interest of the viewer. Also this study proposes that it is necessary to separate the regulation from promotion policies as well as to resolute asymmetric regulation in broadcasting policies.

• Journal of Service Research and Studies
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• v.14 no.2
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• pp.101-116
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• 2024

As the spread of smartphones has become more common and the utilization rate has increased, the mobile shopping market is also growing and expectations for related industries are also increasing. Mobile shopping apps are converging with various industries such as fashion, beauty, and lifestyle, and competition among companies to increase the number of users is intensifying with the activation of non-face-to-face. Accordingly, in this study, a study on the perceived value and intention to use mobile shopping apps was conducted based on a VAM. In order to test the hypothesis of this study, a questionnaire was conducted on 266 people who had used a mobile shopping app and it was used for analysis. Looking at the results, it was confirmed that both usefulness and enjoyment among the perceived benefit of mobile shopping apps have a positive (+) effect on the perceived value. However, it was found that the technicality and perceived risk among the perceived sacrifices of mobile shopping apps did not significantly affect the perceived value. Finally, it was confirmed that the perceived value of the mobile shopping app had a positive (+) effect on the intention to use. Through this study, we would like to examine the factors that can affect perceived value and usage intention in the mobile shopping app industry, which is increasingly competitive among companies along with the rapid growth of mobile technology and market, and suggest practical implications for related companies and officials to establish efficient strategies to further increase mobile shopping app users.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.103-128
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• 2021

Recently, investors' interest and the influence of stock-related information dissemination are being considered as significant factors that explain stock returns and volume. Besides, companies that develop, distribute, or utilize innovative new technologies such as artificial intelligence have a problem that it is difficult to accurately predict a company's future stock returns and volatility due to macro-environment and market uncertainty. Market uncertainty is recognized as an obstacle to the activation and spread of artificial intelligence technology, so research is needed to mitigate this. Hence, the purpose of this study is to propose a machine learning model that predicts the volatility of a company's stock price by using the internet search volume of artificial intelligence-related technology keywords as a measure of the interest of investors. To this end, for predicting the stock market, we using the VAR(Vector Auto Regression) and deep neural network LSTM (Long Short-Term Memory). And the stock price prediction performance using keyword search volume is compared according to the technology's social acceptance stage. In addition, we also conduct the analysis of sub-technology of artificial intelligence technology to examine the change in the search volume of detailed technology keywords according to the technology acceptance stage and the effect of interest in specific technology on the stock market forecast. To this end, in this study, the words artificial intelligence, deep learning, machine learning were selected as keywords. Next, we investigated how many keywords each week appeared in online documents for five years from January 1, 2015, to December 31, 2019. The stock price and transaction volume data of KOSDAQ listed companies were also collected and used for analysis. As a result, we found that the keyword search volume for artificial intelligence technology increased as the social acceptance of artificial intelligence technology increased. In particular, starting from AlphaGo Shock, the keyword search volume for artificial intelligence itself and detailed technologies such as machine learning and deep learning appeared to increase. Also, the keyword search volume for artificial intelligence technology increases as the social acceptance stage progresses. It showed high accuracy, and it was confirmed that the acceptance stages showing the best prediction performance were different for each keyword. As a result of stock price prediction based on keyword search volume for each social acceptance stage of artificial intelligence technologies classified in this study, the awareness stage's prediction accuracy was found to be the highest. The prediction accuracy was different according to the keywords used in the stock price prediction model for each social acceptance stage. Therefore, when constructing a stock price prediction model using technology keywords, it is necessary to consider social acceptance of the technology and sub-technology classification. The results of this study provide the following implications. First, to predict the return on investment for companies based on innovative technology, it is most important to capture the recognition stage in which public interest rapidly increases in social acceptance of the technology. Second, the change in keyword search volume and the accuracy of the prediction model varies according to the social acceptance of technology should be considered in developing a Decision Support System for investment such as the big data-based Robo-advisor recently introduced by the financial sector.

• Journal of Digital Convergence
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• v.12 no.1
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• pp.149-161
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• 2014

According to the economic advancement, the position of service industry in GDP has increased. Development of service industry has solved the employment issue and derived the activation of the internal market. It has contributed to demand creation in health care, education, and culture, enhancing competition of the manufacturing industry and entire economic development. By the development of information communication technologies, improvement of the quality of life from those, and changes in the competitive environment, customers, from businesses and public agencies, or the customer's needs are increasing. In these circumstances, companies are operating non-face-to-face contact call center for the purpose to communicate with customers, handle customer complaints, attract and retain new customers. In this study, to improve the performance of the non-face-to-face contact call center, this study tried to derive the call center's 'Service Process Modeling' and future policy assignment by analyzing the problem from the research of the service and process summary, performance evaluation, call center evaluation and etc.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.431-438
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• 2016

This study focused on the Korean-wave content consumed in the global market and analyzed success/failure factors of services through business model analysis. It aims to offer an effective new media content platform model. ViKi, Drama Fever, Maaduu.com which are representative global OTT were researched on management strategy by case analysis. The success of the global OTT platform is organized into three factors, target customer coverage, revenue model and community activation. Clear and wide coverage of target customer is important to determine the value of the service. Also, revenue model based on the pay service and community for Korean-wave fandom are essential to make good performance in new media platform business.

• Journal of the Korean housing association
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• v.23 no.6
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• pp.49-59
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• 2012

This study suggested a new model in consideration of long life and constructability of apartment house suggested in the former part. New model suggested the possibility of cost saving based on the idea that people trend to reject because of the recognition that the new model would cost a lot of expense which work as the barrier for the expansion and distribution at the local market so as to prepare the ground for its activation. The Study was aimed at verifying the possibility of cost saving through comparing it with the existing standard apartment house system centered on the skeleton and cladding system among the new structural design models suggested in the former part. Assuming that these existing standard both models should be changed structural design into new model system, the quantity volume, cost and construction period along with the alteration of finished materials between two models were compared altogether. Simultaneously BIM library was built for easy taking-off bill of quantity and consideration of working methodology for construction working cycle, which was translated into construction cost so as to derive the cost of the two subject systems to be counted. Through the analysis, it was concluded that new model would secure variability in the future and constructability along with shortening the construction period (29%) and achieve cost saving (13%) of construction against the those of existing model.

• Journal of the Korea Fashion and Costume Design Association
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• v.19 no.2
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• pp.1-14
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• 2017

The consumption trend of fashion in modern industrial society is developing from the rapid changes, and the lifespan of fashion products becomes shorter due to the various industrial wastes. Due to the attitude change caused by the ethical consumption consciousness and environment awareness, the up-cycle fashion products got to receive attention, and it is in the limelight as a new trend to realize the sustainable fashion products in the domestic and foreign fashion. The purpose of this study lies in drawing the expression characteristics by investigating and analyzing the cases of each type on the fashion bag products of up-cycle brand, and contributing to the diversification of product family fitting to the characteristics of fashion bag product of up-cycle brand, systematic strategies of up-cycle fashion products, and activation of up-cycle fashion market. In research methods, the theatrical researches were conducted centered the relevant domestic literature materials, preceding papers, etc., which ran paralleled with the actual case analysis study. Through the preceding research and websites related to selected products, websites of up-cycle companies, relevant books, related articles, etc., the expression characteristics of up-cycle fashion bag products were drawn. The results of this study are as follows: First, as it has the feature of historicality, the designs can be created by containing the designer's story, story of materials, and consumer's story. Second, since it has the characteristic of sustainability, the application of manufacturing process and materials, extension of product life, conversion of original material's function, etc. can be sustainable. Third, as it's a trait of scarcity, all products may be produced by hand, and it can have the specialty which the original materials have. Fourth, since it has an eco-friendly trait, even while saving the original materials, the aesthetic needs could be met according to the consumers' continuous demand.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.250-253
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• 2003

Many construction companies have been trying to extend their businesses to the development projects after IMF. Project financing was introduced to the construction market and has been popular with construction companies which can not furnish funds for project by themselves. But, there are so many problems that project financing has not been activated in the construction field. One of the main factors that disturb activation of project financing is distrust about construction management among participants. This distrust is caused by the lack of speciality, objectivity, clearness about CM. So, to process business successfully, they need specialty and objectivity for the construction management. In this research, I analyzed the role and duty of the main participants about CM in the development project ana suggested an advanced management structure in order to activate project financing in the development projects.

• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.329-335
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• 2020

The purpose of this study is to examine how the motivational factors for beauty waxing affect the waxing care intention through information search types. To this end, a research model was established and 160 response data obtained by conducting a questionnaire survey on adult men and women in Seoul and Gyeonggi Province were used for structural model analysis. As a result, it was found that the motivational factors (i.e., interest, importance, and other's eye) for beauty waxing influenced the waxing management intention through the information search type (i.e., exploration and observation). This study has expanded the academic field of beauty by exploring the predecessors of waxing care intention and its process, and it has implications that it can practically improve understanding of potential users of beauty waxing. It is thought to be able to contribute to the activation of the waxing market.

• The Journal of the Korea Contents Association
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• v.20 no.8
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• pp.114-127
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• 2020

The online performance market is increasing due to recent pandemic events. However, due to the short introduction time of domestic online performances, there is a lack of related prior studies or success stories. In addition, most of these projects are short-lived projects or poor profits, so it is necessary to study how to activate them. The Sac on Screen project, which has been in progress since 10 years ago, has its own imaging experience, and the screening works and screening venues are also diverse, so it is an object of study. In addition, since annual satisfaction surveys are conducted, the business was evaluated based on the voice of customers from the data of the past three years. Based on the analyzed results, a free and paid version of the business model canvas was drawn through a group of experts. As a result of this synthesis, the following major implications were drawn. First, expanding research on online performances, second, needing a sense of responsibility for quality management of content, third, increasing diversity in content selection, and fourth, enhancing the liveliness of online performances, Fifth, efforts are needed to attract private investment and develop value-added products.