• Journal of Information Management
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• v.43 no.4
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• pp.119-142
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• 2012

This study analyzed the characteristics of hyperlink service from news articles in chosun.com and washington Post sites. The study showed that the Washington Post revealed many hyperlink-related elements and an increase in interactivity while Chosun.com was not established consistent hyperlink service. Also, this study analyzed news distribution based on genre, as a result, the life section was occupied the highest proportion with 32.4% for Chosun.com, while the news sections were evenly distributed for the Washington Post. Finally, as a result of classifying the linked words into 3 categories(Informational, navigational, and transactional), the highest contents category in both Chosun.com and Washington Post turned out to be informational words. Theses results can be used to develop and provide the effective link service of news articles in internet newspaper sites.

• The Journal of Industrial Distribution & Business
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• v.12 no.1
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• pp.47-62
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• 2021

Purpose: Our purpose in this study was to examine the strategies for the development of watermelon industry using unstructured big data analysis. That is, this study was to look the change of issues and consumer's perception about watermelon using big data and social network analysis and to investigate ways to strengthen the competitiveness of watermelon industry based on that. Methodology: For this purpose, the data was collected from Naver (blog, news) and Daum (blog, news) by TEXTOM 4.5 and the analysis period was set from 2015 to 2016 and from 2017-2018 and from 2019-2020 in order to understand change of issues and consumer's perception about watermelon or watermelon industry. For the data analysis, TEXTOM 4.5 was used to conduct key word frequency analysis, word cloud analysis and extraction of metrics data. UCINET 6.0 and NetDraw function of UCINET 6.0 were utilized to find the connection structure of words and to visualize the network relations, and to make a cluster of words. Results: The keywords related to the watermelon extracted such as 'the stalk end of a watermelon', 'E-mart', 'Haman', 'Gochang', and 'Lotte Mart' (news: 015-2016), 'apple watermelon', 'Haman', 'E-mart', 'Gochang', and' Mudeungsan watermelon' (news: 2017-2018), 'E-mart', 'apple watermelon', 'household', 'chobok', and 'donation' (news: 2019-2020), 'watermelon salad', 'taste', 'the heat', 'baby', and 'effect' (blog: 2015-2016), 'taste', 'watermelon juice', 'method', 'watermelon salad', and 'baby' (blog: 2017-2018), 'taste', 'effect', 'watermelon juice', 'method', and 'apple watermelon' (blog: 2019-2020) and the results from frequency and TF-IDF analysis presented. And in CONCOR analysis, appeared as four types, respectively. Conclusions: Based on the results, the authors discussed the strategies and policies for boosting the watermelon industry and limitations of this study and future research directions. The results of this study will help prioritize strategies and policies for boosting the consumption of the watermelon and contribute to improving the competitiveness of watermelon industry in Korea. Also, it is expected that this study will be used as a very important basis for agricultural big data studies to be conducted in the future and this study will offer watermelon producers and policy-makers practical points helpful in crafting tailor-made marketing strategies.

• Journal of Distribution Science
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• v.21 no.6
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• pp.21-29
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• 2023

Purpose: Research on equity carve-outs is necessary because the market has realized that they lead to holding company discounts by double counting, which can only be observed in the Korean market. Considering the differences in the SSG.com equity carve-out compared to previous cases in terms of business strategy, this study contributes to the literature by examining the effects on shareholder value in the Korean distribution industry. Research design, data, and methodology: This study investigated literature, analyst reports, and news articles to examine the causes of holding company discounts and analyze the SSG.com equity carve-out. Results: The monopoly of holding companies' listing premiums is the main cause underlying holding company discounts from equity carve-outs. Protections for minority shareholder value are challenging owing to the complexity of the process of acquiring rights, the short exercise period, and additional costs. Therefore, the motivation for equity carve-outs should be to increase overall shareholder value. Conclusion: By analyzing the reasons for holding company discounts in the Korean distribution industry, this study provides recommendations for improving shareholder value. Moreover, it contributes to the maturation of the Korean capital market by promoting a discussion on the revision of equity carve-outs.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.183-203
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• 2018

News articles are the most suitable medium for examining the events occurring at home and abroad. Especially, as the development of information and communication technology has brought various kinds of online news media, the news about the events occurring in society has increased greatly. So automatically summarizing key events from massive amounts of news data will help users to look at many of the events at a glance. In addition, if we build and provide an event network based on the relevance of events, it will be able to greatly help the reader in understanding the current events. In this study, we propose a method for extracting event networks from large news text data. To this end, we first collected Korean political and social articles from March 2016 to March 2017, and integrated the synonyms by leaving only meaningful words through preprocessing using NPMI and Word2Vec. Latent Dirichlet allocation (LDA) topic modeling was used to calculate the subject distribution by date and to find the peak of the subject distribution and to detect the event. A total of 32 topics were extracted from the topic modeling, and the point of occurrence of the event was deduced by looking at the point at which each subject distribution surged. As a result, a total of 85 events were detected, but the final 16 events were filtered and presented using the Gaussian smoothing technique. We also calculated the relevance score between events detected to construct the event network. Using the cosine coefficient between the co-occurred events, we calculated the relevance between the events and connected the events to construct the event network. Finally, we set up the event network by setting each event to each vertex and the relevance score between events to the vertices connecting the vertices. The event network constructed in our methods helped us to sort out major events in the political and social fields in Korea that occurred in the last one year in chronological order and at the same time identify which events are related to certain events. Our approach differs from existing event detection methods in that LDA topic modeling makes it possible to easily analyze large amounts of data and to identify the relevance of events that were difficult to detect in existing event detection. We applied various text mining techniques and Word2vec technique in the text preprocessing to improve the accuracy of the extraction of proper nouns and synthetic nouns, which have been difficult in analyzing existing Korean texts, can be found. In this study, the detection and network configuration techniques of the event have the following advantages in practical application. First, LDA topic modeling, which is unsupervised learning, can easily analyze subject and topic words and distribution from huge amount of data. Also, by using the date information of the collected news articles, it is possible to express the distribution by topic in a time series. Second, we can find out the connection of events in the form of present and summarized form by calculating relevance score and constructing event network by using simultaneous occurrence of topics that are difficult to grasp in existing event detection. It can be seen from the fact that the inter-event relevance-based event network proposed in this study was actually constructed in order of occurrence time. It is also possible to identify what happened as a starting point for a series of events through the event network. The limitation of this study is that the characteristics of LDA topic modeling have different results according to the initial parameters and the number of subjects, and the subject and event name of the analysis result should be given by the subjective judgment of the researcher. Also, since each topic is assumed to be exclusive and independent, it does not take into account the relevance between themes. Subsequent studies need to calculate the relevance between events that are not covered in this study or those that belong to the same subject.

• Journal of Distribution Research
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• v.1 no.1
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• pp.223-237
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• 1996

The emergence of the cable television era has spawned the introduction of many new television programming formats such as all-news channels, movie channels, channels catering to cultural events, channels for women, and many others. One of the new programming formats that is expected to have interesting implications for marketing is the home shopping channel. As we have observed in other countries, this new form of distribution may potentially have a major impact on the traditional retail industry. This paper presents a model of home shopping channel viewing behavior. This model is then used to formulate optimal product presentation strategies that may aid managers in the design of home shopping programs. Specifically, by formulating a profit-maximization problem based on tile model, we derive the optimal length of product presentations and explore its properperties through simulating various situations. The discussion of these properties provide insights about making strategic decisions regarding product presentations.

• Journal of Distribution Science
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• v.13 no.7
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• pp.33-40
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• 2015

Purpose - This study aims to find out what impacts large retailers' behaviors appearing when they promote the strengthening of their market dominating power in the trade relations with small and medium suppliers or in the market can have on consumers. Research design, data, methodology - This study analyzed negative information (news) on large retailers (Lotte Mart, E-Mart and Homeplus) based on the monthly data over the past five years from 2008 to 2012 and also analyzed the correlation between dependent variables that are likely to affect sales through large retailer economic index, Results - This study conducted a correlation analysis on the time lag of the factors that have an impact on the negative information and sales of large retailers in order to analyze how consumers respond to the choice of large retailers' store (store sales) when they perceived negative information about the un- ethical behaviors of large retailers. Conclusions - Unfair and negative information on large retailers appeared significant for the hypothesis that sales will be affected by the image of large retailers and change of consumer attitudes.

• The Korean Journal of Applied Statistics
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• v.20 no.1
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• pp.1-9
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• 2007

This investigation on the change of the daily maxima temperature in Seoul, Daegu, Chunchen, Youngchen was triggered by news items such as the earth is getting warmer and a recent news item that said that Korea is getting warmer due to this climatic change. A statistical analysis on the daily maxima for June over this period in Seoul revealed a positive trend of 1.1190 centigrade over the 45 years, a change of 0.0249 degrees annually. Due to the large variation on these maximum temperatures, one can raise the question on the significance of this increase. To check the goodness of fit of the proposed extreme value model, we shown a Q-Q plot of the observed quantiles against the simulated quantiles and a probability plot. And we calculated statistics each month and a tolerance limit. This is tested through simulating a large number of similar datasets from an Extreme Value distribution which described the observed data very well. Only 0.02% of the simulated datasets showed an increase of this degrees or larger, meaning that the probability is very low for such an event to occur.

• Korean journal of communication and information
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• v.51
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• pp.65-86
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• 2010

This paper reviews the problems and opportunities of Japanese newspaper industry. In the focus are particularly issues related to causes of the crisis and reacting strategies overcoming the crisis. To answer the questions, we conducted in-depth interviews with top-level managers of major newspaper companies in Japan. Secondary data were gathered to complement the interview. Top managers mainly perceived the causes of the crisis as young readers' alienation from newspaper due to the change of media environment and structural factors such as increasing production/distribution costs and diminishing appeals for advertisers. They are implementing several strategies to overcome this crisis - developing newspaper content for young readers; packaging customized on-off line advertisement; extending news distribution via online and mobile platforms; diversifying business into diverse sectors such as real-estate; enhancing brand equity of newspaper; and collaborating with rival newspaper companies in operating news site and joint printing/distribution. Lessons from the case of Japanese newspaper industry may be useful starting points for the Korean newspaper companies agonizing for diminishing circulation and advertising revenues.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.399-406
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• 2019

The purpose of this study is to examine the relationship between corporate reputation and the profitability. In this study, Big Data Analysis was conducted for Hyundai Motor, Shinsegae Department Store, SK Telecom, and Amorepacific to solve research problems. The results of this study show that the effect of each corporate reputation on the profitability is different according to the company. For products such as Hyundai Motor and Amorepacific that are used directly by consumers, the corporate reputation formed by the comments was more influential. In addition, distribution Service company such as Shinsegae Department Store showed more influence by online news. On the other hand, SK Telecom did not have a significant effect on profitability. Based on the results, this study emphasizes the importance of online news and comments on corporate reputation management, and aims to contribute to establishing an efficient reputation management strategy by examining the relationship between corporate reputation and profitability.

• Journal of Distribution Science
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• v.16 no.5
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• pp.61-70
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• 2018

Purpose - These days, an individual user, private entity, hears everyday news of hacking and personal information leakage in the era of a most-connected society. This study investigates cyber attack, cyber insurance and distribution channels for insurance goods in South Korea by analyzing various cases of cyber attacks in domestic and overseas case. Research design, data and methodology - This study adopted various study cases instead of the one large case for deep quality analysis, and focused on various cases of domestic and overseas cyber attacks with insurance. Result - As a result of analyzing the cases that were hacked, types of massive losses and damages arising out of internet blackout due to cyber risks are paralyzation of public and private website and portal, electronic administrative system, public infrastructure, and consequently a normal operation of nation is impossible. These losses and damages however can be coverable under cyber insurance. Conclusions - This paper suggests insurance carriers, as suppliers, should provide multiple channels to sell to the customer and should expand the strategy of advertisement and promotion in order for them to change their mind and compare the price and value of the information of individual users and private entity in view of cost savings.