• International Commerce and Information Review
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• v.14 no.3
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• pp.159-183
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• 2012

Promoted in places like Korea, the central government and the local governments that can provide information on which to base investment policy to attract foreign direct mutation-specific gravity model (Shift-Share Model) In this study, the decrease of foreign direct investment performance using factors looked up in the industry. The sample period of 2009, 2010, 2011 nationwide (metropolitan and non-metropolitan separated) of foreign direct investment performance for Industry Standard Industrial Classification (Division) was conducted. Factors to look at the results of the National Growth Effect(NS), the industrial structure effect (IM), local allocation effect(RS) to decrease foreign direct investment in 2010 and 2011 non-metropolitan, metropolitan national growth effect(RS) is negative(-) has a value. Because it appears to be the aftermath of the global recession, the impact on the domestic economy Metropolitan area and the Industrial Mix Effect(IM) to the development of education, culture, business, and transportation, etc. in the development of service industries than in non-metropolitan valid environment. In the sector of services (food accommodation, business services, entertainment), We did it, was able to find the function. However, the Regional Share Effect(RS) be competitive in the manufacturing sector in metropolitan areas in the metal and chemical sectors have been identified. These results seems to enhance the competitiveness of the region, such as the metropolitan area's excellent workforce. Shift-Share analysis technique based on competitive factors of the region, to find the failure has limitations.

• International Journal of Contents
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• v.10 no.1
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• pp.54-61
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• 2014

In this paper, we propose a pioneering concept of DPD(Disaster Prevention Design) to realize a securable society in the future. Features of danger in the future society are expected to be diverse, abrupt occurring, large scale, and complicated ways. Due to increment of dangers with their features of uncertainty, interactivity, complexity, and accumulation, human-oriented design concept naturally participates in activities to prevent our society against disasters effectively. We presented DPD is an essential design activity in order to cope with dangers expected in the future societies as well as realize securable environments. DPD is also an integrated design aids including preemptive protections, rapid preparing, recovery, and interactive cooperation. We also expect these activities of DPD is effective for generation of new values in the market, satisfaction of social needs, expansion of design industry, and a novel chance for development in the future society. Throughout this paper, we submit various aspects of DPD concepts including definition, classification, scope, necessity, strategy, influencing elements, process, and its principle. We expect these concepts will be the seed and/or basement of DPD research for the future works. For the direction of study for DPD in the future, we emphasize alarm system for preemptive protection rather than recovery strategy for the damage occurred. We also need to research about progressive prevention techniques and convergence with other areas of design. In order to transfer the concept of product design from facility-oriented mechanism to human-oriented one, we should develop new kinds of city basis facilities, public-sense design concepts referred to social weak-party, e-Learning content design preparing disasters, and virtual simulation design etc. On the other hand, we have to establish laws and regulations to force central and/or provincial governments to have these DPD strategies applying their regional properties. Modern design activities are expanding to UI(user interface) content design area overcoming the conventional design concept of product and/or service. In addition, designers are recognized as art directors or life stylists who will change the human life and create the social value. DPD can be divided into prevention design, preparedness design, response design, and recovery design. Five strategies for successful DPD are Precaution-oriented, Human-oriented, Sense-oriented, Legislation, and Environment Friendly Strategies.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.135-144
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• 2014

In devising technological innovation strategies and implementing successful technological innovation, some of the most important factors may be to determine whether to protect technological innovation and to choose how to protect it. Traditionally, technological innovation has been emphasized to obtain compensation as much as possible for innovation in terms of economics and strategy. However, it can be regarded as a very complicated problem to determine such a protection and its level. Generally speaking, enterprises have some common mechanisms to secure compensation for technological innovation, which are known to be patents, secrecy and lead time advantage. From the standpoint of enterprises, it is very important what strategies should be devised to secure profits for technological innovation. According to some domestic and oversea research results revealed that specific patents are not the best way to Appropriability for technological innovation, while also implying that there exist several different kinds of mechanisms to Appropriability for technological innovation in each industry. Nevertheless, since it shouldn't be ignored that most of the researches have overlooked the characteristics of Korean enterprises and industrial differences, this study intends to clarify the effectiveness of technological innovation Appropriability mechanisms reflecting actual circumstances and industrial characteristics in Korea while classifying them. Also The questionnaires and delphi method used in this study. As the result of analysis, in the entire industries, the priorities turned out to be in the order of Superior sales and service efforts, Leadtime advantage, Complementary manufacturing.

• Journal of Korea Entertainment Industry Association
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• v.15 no.7
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• pp.45-57
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• 2021

The purpose of this study is to identify what factors have impacts on the amount of YouTube viewing. In doing so, usage type, children's levels of self-control on viewing, parent's perception of media contents, and parental mediation style were investigated by age. The result of the study showed no significant differences of the amount of use by the different age groups. There were, however, significant differences in terms of subscription status(non subscription based vs. subscription-based viewing), level of self-control, perception of content, and parent's mediations (technology, supervision, and guidance). Given the amount of YouTube use, the subscription status and parent's supervision were significantly influential factors for the age group of 3-4 years old. For the age group of 5-6, subscription status, levels of self-control, and mediation of parent's supervision and guidance were influential factors. For the age of 7-9, subscription status, the level of self control, and premium service were significantly influential. Finding similarities and differences in meaningful variables by age group suggests that different strategies should be used to reduce the amount of children's YouTube use. In addition, it raises the need for a more detailed classification of children's YouTube usage methods, which have not been addressed so far, and the need for research on the influence of these methods.

• Culinary science and hospitality research
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• v.18 no.2
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• pp.34-50
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• 2012

This study conducted the empirical analysis of the influence that are quality attributes, and strengths, weaknesses, low ranking and excess of Korean restaurants menu on revisit intention based on differences between importance and satisfaction by surveying Korean students in Paris, and also conducting IPA analysis based on survey result. The result of IPA analysis showed weaknesses that are the visual elements of foods; in contrast it showed strengths that are the price, temperature, taste, quantity, cleanliness, freshness, and flavor of dishes. Also it showed low ranking that are seasonal items, authenticity, originality, sizes, colors, texture, explanations, ingredients, recipes of menu, classification of healthy food, suitability of bowls, creativity of existing food. Therefore, it is found that the higher recognition of attributes, organic functions, properties, and explanations of menu, the higher revisit intention. It showed that explanations, sensibility, characters, quality of menu influenced on revisit intention according priority by analysis of quality attributes of menu on revisit intention. This study is significant in that it provides useful data services for marketing strategies and operational suggestions to globalization of Korean food by analysis local menu of Korean food service industry.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.586-596
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• 2011

In the IT industry, processing units of IT applications are getting smaller and high efficient. Furthermore, the realization of various smart functions is highly feasible now due to advances in sensing technology. The service infrastructures on high efficient and compact mobile devices are applied to various areas. These also could be possessed by users and is built into the devices. Currently, studies on the UX(User Experience) field to attempt an analysis and prediction of user's information are continuing with reference to the UI(User Interface). However, research on the common framework of classification and storing the user-information, and standardization of form has not been attempted yet. In this study, we proposed the AUX(Associative user Experience) model and process structure to store various empirical data by users. The AUX model expressed a diversity of user's empirical data using extended E-TCPN model. And also, we expressed the data structure using XML with reference to the application of AUX model. This expressed model and separation of process structure guarantee its specialty, productivity and flexibility through the humanistic characteristics of users and the independence of technical process structure. The AUX model maps out the AUX information process architecture and expressed the process with the improved MPP algorithm, to analyze of its performance. The simulation of movements applying to MPP traffic allocation of VOD is used to analyze of its performance. The playback deviation of MPP Graphic Allocation Algorism where the AUX model was applied was improved by 10.41% more than the one where it was not applied. As a result of that, playback performance has improved due to the conversion of AUX with accessing media, content of users and dynamic traffic allocation such as MPI and CPI.

• Journal of Digital Convergence
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• v.10 no.11
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• pp.427-432
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• 2012

The article herein suggested a compound repository and a descriptive method to develop a compound knowledge process. A data target saved in a compound knowledge repository suggested in this article includes all compound knowledge meta data and digital resources, which can be divided into the three following factors according to the purpose: user roles, functional elements, and service ranges. The three factors are basic components to describe abstract models of repository. In this article, meta data of compound knowledge are defined by being classified into the two factors. A component stands for the property about a main agent, activity unit or resource that use and create knowledge, and a context presents the context in which knowledge object are included. An agent of the compound knowledge process performs classification, registration, and pattern information management of composite knowledge, and serves as data flow and processing between compound knowledge repository and user. The agent of the compound knowledge process consists of the following functions: warning to inform data search and extraction, data collection and output for data exchange in an distributed environment, storage and registration for data, request and transmission to call for physical material wanted after search of meta data. In this article, the construction of a compound knowledge repository for recommendation system to be developed can serve a role to enhance learning productivity through real-time visualization of timely knowledge by presenting well-put various contents to users in the field of industry to occur work and learning at the same time.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.35-45
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• 2018

Research on the establishment of new governance aimed at efficient policy planning and the implementation thereof by the government has been conducted in response to social changes. Nonetheless, governance is comprehensive and encompasses different meanings; it takes various forms in the process of its actual application. Therefore, systematic classification of research on governance and analysis on its research trend are required. Accordingly, three researchers who majored in policy sciences, business informatics, and library and information science, respectively, searched for theses related to governance published since 2016 from Research Information Sharing Service and conducted a social network analysis (SNA) on them. According to their research results, the main research topics were largely classified into collaborative governance and local governance. Keywords throughout the topics included network, participation, conflict, and trust in line with the characteristics of governance. Representative subjects of governance included education, urban regeneration, and the environment. Further, measurement of betweenness centrality showed local governance was a main topic for convergent research. This study will lead to a greater understanding of research on governance and help activate such research. One limitation of this study is that it analyzed only theses with the keywords but not all theses on governance. Follow-up research should analyze all theses on governance and statistically verify them with SNA indexes.

• Journal of the Korea Society of Computer and Information
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• v.25 no.6
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• pp.219-224
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• 2020

The purpose of this study is mainly to provide theoretical basis of private security industry by analyzing the perception and flow of private security from the press-released materials according to periodic classification and duties through 'Big Kinds', a website of analyzing news big data. The research method has been changed to structured data to allow an analysis of various scattered unstructured data, and the keywords trend and related words by duties of private security were analyzed in growth period of private security. The perception of private security based on the results of the study was exposed a lot by the media through various crimes, accidents and incidents, and the issues related permanent position. Also, it tended to be perceived as a simple security guard, not recognized as the area of private security, and judging from the high correlation between private security and police, it was recognized not only as a role to assist the police force, but also as a common agent in charge of the public peace. Therefore, it should objectively judge the perception of private security, and through this, it is believed that it should be a foundation for recognizing private security as a main agent responsible for the safety of the nation and maintaining social orders.

• The Journal of Bigdata
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• v.7 no.2
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• pp.153-172
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• 2022

Online shopping has transformed and rapidly grown the entire market at the forefront of wholesale and retail services as an effective solution to issues such as digital transformation and social distancing policy (COVID-19 pandemic). Small business owners, who form the majority at the center of the online shopping industry, are constantly collecting policy changes and market trend information to overcome these problems and use them for marketing and other sales activities in order to overcome these problems and continue to grow. Objective and refined information that is more closely related to the business is also needed. Therefore, in this paper, through the collection and analysis of big data information, which is the core technology of digital transformation, key variables are set in product classification, sales trends, consumer preferences, and review information of online shopping malls, and a method of using them for competitor comparison analysis and business sustainability evaluation has been prepared and we would like to propose it as a service. If small and medium-sized businesses can benchmark competitors or excellent businesses based on big data and identify market trends and consumer tendencies, they will clearly recognize their level and position in business and voluntarily strive to secure higher competitiveness. In addition, if the sustainable growth of the online shopping mall operator can be confirmed as an indicator, more efficient policy establishment and risk management can be expected because it has an improved measurement method.