• Journal of the Korean Institute of Rural Architecture
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• v.9 no.1
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• pp.35-42
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• 2007

This study is the research of occupation distribution about citizen members of autonomy organization in Cheongju area. Investigation of autonomy organization members acting as local readers makes it possible to understand direction for community promotion. Result of this study sums up two type occupational categories. First, in urban area independently managers is above participation ratio in public affairs appeared. On the other hand, ratio of private organization, employee, and experts are low. In rural area, it shows the participation ratio of functional representatives and farmers highly. Second, with investigation of detailed occupation, most independent contractors and such as architecture, real-estate, whole and retail sales, restaurant, nursery, and private educational institute. And small number of insurance, news paper, car sales, gas station mangers participate in autonomy organization. Private organization consist of educational organization, social welfare corporate and district head council, as well as some teachers and farmers.

• Korean Business Review
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• v.20 no.2
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• pp.15-27
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• 2007

This paper analyzed the relationship between Housing Purchase Price volatility of Seoul and Housing Purchase Price volatility of local large city. Other studies investigates the effect on the observed volatility Observed volatility consists of fundamental volatility and transitory volatility. Fundamental volatility is caused by information arrival and transitory volatility is caused by noise trading. Fundamental volatility is trend component and is modelled as a random walk with drift. Transitory volatility is cyclical component and is modelled as a stationary process. In contrast to other studies, this study investigates the effect on the fundamental volatility and transitory volatility individually. Observed volatility is estimated by GJR GARCH(1,1) model. We find that GJH GARCH model is superior to GARCH model and good news is more remarkable effect on volatility than bad news. This study decomposes the observed volatility into fundamental volatility and transitory volatility using Kalman filtering method. The findings in this paper is as follows. The correlation between Seoul housing price volatility and Busan housing price volatility is high. But, the correlation between Seoul and Daejeon is low. And the correlation between Daejeon and Busan is low. As a distinguishing feature, the correlation between fundamental volatilities is high in the case of all pairs. But, the correlation between transitory volatilities turns out low. The reason is as follows. When economic information arrives, Seoul, Daejeon, and Busan housing markets, all together, are affected by this information.

• Journal of Distribution Science
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• v.15 no.7
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• pp.73-83
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• 2017

Purpose - The purpose of this paper is to explore the CSR activities of small enterprises in hospitality and tourism industry in South Korea. Since previous research on CSR activities has considerably focused on large enterprises whereas small enterprises have relatively less attention, this study aims to explore the characteristics of small enterprises in hospitality and tourism industry and their CSR activities. Research design, data, and methodology - The population of interest for this study was social enterprises registered in Korea Social Enterprise Promotion Agency (2016), and it was used to verify the social enterprises which has a certification for social enterprises. From 1672 companies in total, the sampling frame was a database with 117 companies in hospitality and tourism industry. This study investigates social enterprises' CSR activities on the company's official websites (e.g., company reports, magazines, the news articles, and interviews). The websites of the selected enterprises in hospitality and tourism industry were analyzed for examining CSR activities by the quantitative content analysis. All of the CSR activities in small social enterprises were classified into six dimensions based on the stakeholder theory. Results - The findings of this study provide the characteristics of the 117 small social enterprises and their specific CSR initiatives. A total of eight main business lines were identified: 1) fair travel, 2) leisure/sports, 3) accommodation/camping, 4) medical tourism, 5) exhibitions/art events/cultural events, 6) leisure activities for vulnerable social groups, 7) Korean traditional culture, and 8) ecotourism/agricultural tourism. The CSR initiatives were classified into six dimensions: 1) environment, 2) employment, 3) multicultural families and vulnerable social groups, 4) local community, 5) economic prosperity, and 6) product. Conclusions - This study revealed the special CSR initiative examples of small enterprises in hospitality and tourism industry. Small social enterprises participate in CSR activities mainly related to their own business lines. Moreover, these enterprises are more closely embedded in their local community development, job creation and education for local residents and vulnerable social groups, and traditional heritage preservation. The findings of this study provide theoretical and practical implications and they can contribute to enrich CSR with literature for small enterprises in hospitality and tourism industry.

• Korean journal of communication and information
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• v.54
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• pp.5-31
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• 2011

In this paper, the news coverage of Chosun Art Exhibition(鮮展) in the Japanese occupational era were analyzed by the discourse analysis technique. Japan was advocated the slogan of 'escape from the asia go to the west' and calls itself as western civilized nations during Japanese occupational era. Japan's colonial rule in Asia has created a Japanese orientalism that Japan is considered as developed, and the other Asian countries are considered underdeveloped countries. The media discourse of Chosun Art Exhibition make to believe that the 'backwardness' of Korean local color arts, unlike the 'colonial superiority' of Japanese arts. In the analysis of the newspapers, Maeil Shinbo and Donga Ilbo, Japan recognize Korean arts as the 'assimilation' of Japanese arts, but with the other hand recognize the 'exclusion' of Japanese arts had a dual-in. Especially, Donga Ilbo has a vision of orientalism on the one hand and has a nationalistic perspective on the other hand.

• Journal of Industrial Convergence
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• v.17 no.4
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• pp.33-38
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• 2019

Regional tourism is an effective means of revitalizing the local economy and improving the image of the region. In order to revitalize this, efforts should be made to create regionally specialized tourism products and to preserve the unique culture and traditions. Among them, gathering information about visitors and securing the quality competitiveness of the contents of tourism contents are very important to increase the potential of cultural tourism festival. This paper collects, refines, and processes the festival-related data in a specific area in order to enhance the visitor's tourism needs and satisfaction. In particular, negative words and positive words raised during the festival were analyzed through big data visualization using word cloud.

• Journal of the Korea Society of Computer and Information
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• v.14 no.1
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• pp.153-161
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• 2009

In this paper, we designed and implemented realtime DID(digital information display) system based on web server that displayed multimedia contents. The contents are weather, news information on the internet web sites and public relations or advertisements data on local systems. The DID system has client/server architecture that the server send to client that schedule informations and multimedia contents received form web server and the client displayed the contents though scheduled information. Therefore the systems overcome network fault for the mean time. Also, the system has realtime services of web page filtering function that extract the partial information of specific web pages.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.32 no.6
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• pp.651-659
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• 2014

With the popularization of big data environment, big data have been highlighted as a key information strategy to establish national spatial data infrastructure for a scientific land policy and the extension of the creative economy. Especially interesting from our point of view is the cadastral information is a core national information source that forms the basis of spatial information that leads to people's daily life including the production and consumption of information related to real estate. The purpose of our paper is to suggest the scheme of big data analytics with respect to the articles of cadastral resurvey project in order to approach cadastral information in terms of spatial data integration. As specific research method, the TM (Text Mining) package from R was used to read various formats of news reports as texts, and nouns were extracted by using the KoNLP package. That is, we searched the main keywords regarding cadastral resurvey, performing extraction of compound noun and data mining analysis. And visualization of the results was presented. In addition, new reports related to cadastral resurvey between 2012 and 2014 were searched in newspapers, and nouns were extracted from the searched data for the data mining analysis of cadastral information. Furthermore, the approval rating, reliability, and improvement of rules were presented through correlation analyses among the extracted compound nouns. As a result of the correlation analysis among the most frequently used ones of the extracted nouns, five groups of data consisting of 133 keywords were generated. The most frequently appeared words were "cadastral resurvey," "civil complaint," "dispute," "cadastral survey," "lawsuit," "settlement," "mediation," "discrepant land," and "parcel." In Conclusions, the cadastral resurvey performed in some local governments has been proceeding smoothly as positive results. On the other hands, disputes from owner of land have been provoking a stream of complaints from parcel surveying for the cadastral resurvey. Through such keyword analysis, various public opinion and the types of civil complaints related to the cadastral resurvey project can be identified to prevent them through pre-emptive responses for direct call centre on the cadastral surveying, Electronic civil service and customer counseling, and high quality services about cadastral information can be provided. This study, therefore, provides a stepping stones for developing an account of big data analytics which is able to comprehensively examine and visualize a variety of news report and opinions in cadastral resurvey project promotion. Henceforth, this will contribute to establish the foundation for a framework of the information utilization, enabling scientific decision making with speediness and correctness.

• Journal of the Korean Regional Science Association
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• v.34 no.4
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• pp.19-34
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• 2018

The purpose of this study is to analyze the seasonal issues using the local newspaper articles with the keyword beach from 2004 to 2017. Topic modeling and Time series regression analysis based on open source programs were performed for analysis. Topic modeling results showed 35 topics in spring, 47 topics in summer, 36 topics in autumn and 35 topics in winter. The common themes were 'beaches', 'festivals and events', 'accident and environmental issues', 'tourism', 'development and sale', 'administration and policy' and 'weather'. Time series regression analysis showed in the spring, 5 Hot-Topics and 2 Cold-Topic were found out of the 35 topics. In the summer, 6 Hot-Topics and 3 Cold-Topic were found out of the 47 topics. In the autumn, 4 Hot-Topics and 3 Cold-Topic were found out of the 36 topics. In the winter, 3 Hot-Topics and 3 Cold-Topic were found out of the 35 topics. And for each season, topics that do not fall into the Hot-Topic and Cold-Topic are classified as Neutral-Topic. In this study if seasonal uses are different such as beaches are deemed that seasonal topic modeling for analysis of regional issues will yield more useful results and enable detailed diagnosis.

• Journal of Internet Computing and Services
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• v.18 no.6
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• pp.55-63
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• 2017

One of the purposes of Information Technology (IT) is to support human response to natural and social problems such as natural disasters and spread of disease, and to improve the quality of human life. Recent climate change has happened worldwide, natural disasters threaten the quality of life, and human safety is no longer guaranteed. IT must be able to support tasks related to disaster response, and more importantly, it should be used to predict and minimize future damage. In South Korea, the data related to the damage is checked out by each local government and then federal government aggregates it. This data is included in disaster reports that the federal government discloses by disaster case, but it is difficult to obtain raw data of the damage even for research purposes. In order to obtain data, information extraction may be applied to disaster reports. In the field of information extraction, most of the extraction targets are web documents, commercial reports, SNS text, and so on. There is little research on information extraction for government disaster reports. They are mostly text, but the structure of each sentence is very different from that of news articles and commercial reports. The features of the government disaster report should be carefully considered. In this paper, information extraction method for South Korea government reports in the word format is presented. This method is based on patterns and dictionaries and provides some additional ideas for tokenizing the damage representation of the text. The experiment result is F1 score of 80.2 on the test set. This is close to cutting-edge information extraction performance before applying the recent deep learning algorithms.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.549-555
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• 2016

This paper tries to find the implications applied to art institutions of Korea by analyzing what the content and consequences of services of the Cleveland Museum of Art provided after the Internet of Things adoption in the theoretical perspectives strengthening service marketing through the Internet of Things increases visits and participation in the museum. For analysis, journal articles, statistics, and government press releases, news articles, web pages, web page articles are collected. The results are first, the application of digital and social media is positive in visit to the museum and monetization. Second, the introduction of the Internet of Things will enhance the museum's 'Education', 'Accessibility', 'Communications' services, as well as significantly increase on and offline participation by activating experience. Third, technical support from related companies with the support of local government funds is essential to build the system. Consequently, in order to enable the participation of the spectators in the galleries it is proposed aggressive adoption of such digital technology in domestic barren market of Internet of Things.