• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.221-241
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• 2018

Deep learning is getting attention recently. The deep learning technique which had been applied in competitions of the International Conference on Image Recognition Technology(ILSVR) and AlphaGo is Convolution Neural Network(CNN). CNN is characterized in that the input image is divided into small sections to recognize the partial features and combine them to recognize as a whole. Deep learning technologies are expected to bring a lot of changes in our lives, but until now, its applications have been limited to image recognition and natural language processing. The use of deep learning techniques for business problems is still an early research stage. If their performance is proved, they can be applied to traditional business problems such as future marketing response prediction, fraud transaction detection, bankruptcy prediction, and so on. So, it is a very meaningful experiment to diagnose the possibility of solving business problems using deep learning technologies based on the case of online shopping companies which have big data, are relatively easy to identify customer behavior and has high utilization values. Especially, in online shopping companies, the competition environment is rapidly changing and becoming more intense. Therefore, analysis of customer behavior for maximizing profit is becoming more and more important for online shopping companies. In this study, we propose 'CNN model of Heterogeneous Information Integration' using CNN as a way to improve the predictive power of customer behavior in online shopping enterprises. In order to propose a model that optimizes the performance, which is a model that learns from the convolution neural network of the multi-layer perceptron structure by combining structured and unstructured information, this model uses 'heterogeneous information integration', 'unstructured information vector conversion', 'multi-layer perceptron design', and evaluate the performance of each architecture, and confirm the proposed model based on the results. In addition, the target variables for predicting customer behavior are defined as six binary classification problems: re-purchaser, churn, frequent shopper, frequent refund shopper, high amount shopper, high discount shopper. In order to verify the usefulness of the proposed model, we conducted experiments using actual data of domestic specific online shopping company. This experiment uses actual transactions, customers, and VOC data of specific online shopping company in Korea. Data extraction criteria are defined for 47,947 customers who registered at least one VOC in January 2011 (1 month). The customer profiles of these customers, as well as a total of 19 months of trading data from September 2010 to March 2012, and VOCs posted for a month are used. The experiment of this study is divided into two stages. In the first step, we evaluate three architectures that affect the performance of the proposed model and select optimal parameters. We evaluate the performance with the proposed model. Experimental results show that the proposed model, which combines both structured and unstructured information, is superior compared to NBC(Naïve Bayes classification), SVM(Support vector machine), and ANN(Artificial neural network). Therefore, it is significant that the use of unstructured information contributes to predict customer behavior, and that CNN can be applied to solve business problems as well as image recognition and natural language processing problems. It can be confirmed through experiments that CNN is more effective in understanding and interpreting the meaning of context in text VOC data. And it is significant that the empirical research based on the actual data of the e-commerce company can extract very meaningful information from the VOC data written in the text format directly by the customer in the prediction of the customer behavior. Finally, through various experiments, it is possible to say that the proposed model provides useful information for the future research related to the parameter selection and its performance.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.12
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• pp.1903-1914
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• 2008

The purpose of this study was to propose an efficient and feasible global market entry strategy for the Korean apparel industry by analyzing the Italian fashion industry. In particular, the study investigated the role of foreign exhibitions and showrooms supported and organized by Italian fashion organizations. The methodology for this study was to analyze industrial reports, review previous studies and conduct in-depth interviews with 23 industry experts in Italy, Korea and LA. The results indicated that the most prominent factor in the Italian fashion industry was the fashion cluster, which is a strong and organic network of diverse fashion related areas No matter the size of the enterprise, firms can get practical, prompt and efficient support from diverse associations. The network operated by the associations provides strong support to each firm by organizing collections and exhibitions, and providing promotional activities. Showrooms and agents are another supportive "gate keeper", directly related to an enterprise's sales. However, Korean fashion firms did not have enough information or knowledge for foreign exhibitions, nor did they make aggressive promotional efforts in the global market. Despite the many fashion-related associations exist in Korea, their programs are too focused on visible accomplishments and are too oriented on "big company" and "big voice", rather than many "small firms". In conclusion, the Korean fashion industry-particularly the fashion industry in Seoul-has strong potential to become the center of the global fashion market in the future. However, the fashion support system that can act as the channel to promote firms and to meet global buyers needs to be supplemented. To feasibly create this system, government or industry associations should develop a strong and generous support system and network, and they must recognize the need for small firms to exist.

• Journal of Intelligence and Information Systems
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• v.25 no.3
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• pp.89-115
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• 2019

This study was conducted to present the stylistic differences between Arthur Conan Doyle and Agatha Christie, famous as writers of classical mystery novels, through data analysis, and further to present the analytical methodology of the study of style based on text mining. The reason why we chose mystery novels for our research is because the unique devices that exist in classical mystery novels have strong stylistic characteristics, and furthermore, by choosing Arthur Conan Doyle and Agatha Christie, who are also famous to the general reader, as subjects of analysis, so that people who are unfamiliar with the research can be familiar with them. The primary objective of this study is to identify how the differences exist within the text and to interpret the effects of these differences on the reader. Accordingly, in addition to events and characters, which are key elements of mystery novels, the writer's grammatical style of writing was defined in style and attempted to analyze it. Two series and four books were selected by each writer, and the text was divided into sentences to secure data. After measuring and granting the emotional score according to each sentence, the emotions of the page progress were visualized as a graph, and the trend of the event progress in the novel was identified under eight themes by applying Topic modeling according to the page. By organizing co-occurrence matrices and performing network analysis, we were able to visually see changes in relationships between people as events progressed. In addition, the entire sentence was divided into a grammatical system based on a total of six types of writing style to identify differences between writers and between works. This enabled us to identify not only the general grammatical writing style of the author, but also the inherent stylistic characteristics in their unconsciousness, and to interpret the effects of these characteristics on the reader. This series of research processes can help to understand the context of the entire text based on a defined understanding of the style, and furthermore, by integrating previously individually conducted stylistic studies. This prior understanding can also contribute to discovering and clarifying the existence of text in unstructured data, including online text. This could help enable more accurate recognition of emotions and delivery of commands on an interactive artificial intelligence platform that currently converts voice into natural language. In the face of increasing attempts to analyze online texts, including New Media, in many ways and discover social phenomena and managerial values, it is expected to contribute to more meaningful online text analysis and semantic interpretation through the links to these studies. However, the fact that the analysis data used in this study are two or four books by author can be considered as a limitation in that the data analysis was not attempted in sufficient quantities. The application of the writing characteristics applied to the Korean text even though it was an English text also could be limitation. The more diverse stylistic characteristics were limited to six, and the less likely interpretation was also considered as a limitation. In addition, it is also regrettable that the research was conducted by analyzing classical mystery novels rather than text that is commonly used today, and that various classical mystery novel writers were not compared. Subsequent research will attempt to increase the diversity of interpretations by taking into account a wider variety of grammatical systems and stylistic structures and will also be applied to the current frequently used online text analysis to assess the potential for interpretation. It is expected that this will enable the interpretation and definition of the specific structure of the style and that various usability can be considered.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.2A
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• pp.152-161
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• 2007

IEEE 802.11 Wireless Local Area Network (WLAN) became a prevailing technology for the broadband wireless Internet access, and new applications such as Voice over WLAM (VoWLAN) are fast emerging today. For the battery-powered VoWLAN devices, the standby time extension is a key concern for the market acceptance while today's 802.11 is not optimized for such an operation. In this paper, we propose a novel Idle Mode operation, which comprises paging, idle handoff, and delayed handoff. Under the idle mode operation, a Mobile Host (MH) does not need to perform a handoff within a predefined Paging Area (PA). Only when the MH enters a new PA, an idle handoff is performed with a minimum level of signaling. Due to the absence of such an idle mode operation, both IP paging and Power Saving Mode (PSM) have been considered the alternatives so far even though they are not efficient approaches. We implement our proposed scheme in order to prove the feasibility. The implemented prototype demonstrates that the proposed scheme outperforms the legacy alternatives with respect to energy consumption, thus extending the standby time.

• Information Systems Review
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• v.12 no.1
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• pp.145-164
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• 2010

Since the third generation (3G) mobile communication service has been launched by most mobile communication operators in Korea, the portion of data service in mobile communication service becomes one of the most important factors in mobile communication service market. In past mobile communication market, most mobile communication operators made their profit mostly from voice communication service. However, the portion of profit from data service has gradually increased based on both video phone call and mobile Internet service. In this situation, LG telecom launched the full browsing mobile Internet service. This service provides a new type of mobile Internet service platform which enables to access the World Wide Web using mobile browsers, so we generally access the Web using web browsers in the desktop computer. Under the open network structure of mobile Internet like situation, it is very important to analyze the factors which can affect the competition between mobile communication service companies. So, in this paper, we first present the current state of full browsing service, followed by the expectation of its growth potentials and barriers. Then, we analyze the advantages and disadvantage of LG telecom as a first-mover and SK telecom/KTF as followers. Finally, based on this analysis, we predict the future competition among these companies and the market.

• Journal of Digital Convergence
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• v.13 no.11
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• pp.409-415
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• 2015

Summary. With the advent of the internet and the concept of social network service, people of present days are flooded daily with new varieties of the communication channel. One of the most affected group of people may be singing artists. This over-growing number of communication channels pushes singers to put just as many efforts to establish and groom his or her unique identity as an artist. In old 'pre-internet' days, any singing artist's superficial features, like the tone of voice or stage presentation, were the only transcriptive criteria upon which the artist was adjudicated. New developments in technology, however, have set a new paradigm for singing artists of the present day. Respective criteria of today extend beyond the realm of music and comprise musicianship, requiring much scrupulous attention on the various area to propagate and protect one's unique identity as an artist. In light of this phenomenon, this study looks into Mr. Lee, Seung Hwan whom may undoubtedly be one of the most representative ballad singers of 90's. We can probably see his music in 5 features such as Rock Sound based on using various instruments, World Music Sound, Massive Choir, Challenge for the New Style, Lyrics of Life. As a singer-songwriter, he colored numerous albums and influenced the era, unlike many others. He still works vigorously, worthy of his epithet, a 'present-progressive' artist. The object of this study is how Mr. Lee has been proactively dealing with the phenomenon above.

• Archives of design research
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• v.17 no.2
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• pp.147-156
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• 2004

An enterprise is a basic unit to constitute national economy and a unit of independent production economy to pursue profit based on separation between ownership of production means and labor. Even though price and quantity of production are decided by planned economy in order to survive in the mechanism of market economy, quantity of production and of demands can't be same at all because of consumers' different preferences. An enterprise uses audio-visual media like letters, pictures, and voice in order to grasp consumers' taste, to develop products and to advertise them. Advertising is communication that a company, a non-profit organization or an individual, that is shown in the message of an ad, makes through several media. It is time that a company should appeal its image, not only its products, to consumers as a salesman. Marketing strategy of company identity is to visualize a company's intentions, to formalize its motto, slogan or culture, to build up trust of products and the company in consumers, and then, to have the consumers forever. By the virtue of development of www in 1990s, the media has been expanded to online. Development of www has united the world into a network and the market has been changed to unlimited competition. This paper intends to define the concept and characteristics of web identity and investigates and analyzes how web sites of sports shoes express their identities. In addition, it analyzes influences of multinational companies' web identifies (in Korean version) and of local companies' web identities on local consumers. Through survey, it will analyze the effects of web identity and review its operation.

• Journal of Distribution Science
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• v.7 no.2
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• pp.89-119
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• 2009

The purpose of this research is showing an appropriate way of maximizing customer service and establishing VOC system by analyzing different voices from complaining customers as well as loyal customers. This research is also aimed at figuring out how companies can implement effective service marketing methods in the field complying with customers' needs and how they can survive in the competition. The range of research is confined to 5 marketing companies and their web-sites on which customers can get logged and directly post their claims. These web-sites showed how those 5 companies cope with customer claims. A questionnaire research was made in A's store to evaluate customer satisfaction. These are conclusions drawn by this research. First, prompt reactions of sincerity to customers' claims contribute to building favorable corporate images. Second, the preference to VOC channels varies with age and sex. Marketers should implement respectively different channels for customers under age 30 and those over age 40. Women have a tendency to prefer instant phone conversations and want to have their claims well listened to. Third, a series of shift in customer trend drives companies into establishing their own interactive VOC systems based on customers' preferences. Customer-oriented management has become a key factor for survival in recent intensely competitive market situation, as the web-based e-commerce market has been rapidly growing accompanied with a dramatic advance of network marketing methods. This research suggests some practical methods to establish a customer-oriented VOC system that can be easily adopted in the field.

• Journal of Digital Convergence
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• v.10 no.11
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• pp.87-92
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• 2012

In the early 2012, European Union proposed new legal framework, including the right to be forgotten, for the protection of personal data. The new Proposal articulates kind of sweeping new privacy right and there has been debates on its potential threat to free speech in the digital age. While the situation is similar in Korea, I want to introduce the right to be forgotten in the Proposal. Then, I will analyze current legal system in Korea regarding the new privacy right and suggest some guidelines in searching direction for the coming legislation with respect to the right to be forgotten. The right to be forgotten should not have been promulgated without considering fully its effect on the free speech, especially in the society where the voice toward direct democracy or movement toward participation of the citizen, mainly through cyber space or Social Network Services, has risen much higher in Korea. Especially, the new right seems not to cover the control of data subject on a third party where the third party expressing his opinion by posting himself other's personal data on his blog or others.

• Journal of Distribution Science
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• v.13 no.12
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• pp.95-103
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• 2015

Purpose - The Visegrád Group cooperation of the past 14 years and that of V4 for the past 20 years has very important significance in the 21st century that must be maintained. This cooperation is valuable because of the trade routes that connect northern Poland to the Balkans in southern Croatia, which forman important basis for the resuscitation of Central European development. Currently, because of the European manufacturing base and industrial development, an energy supply and stable energy distribution networks have been introduced to secure cooperation and not competition within the Visegrád Group. This paper's research emphasizes the supply chain hub in neighboring countries. Although Central and Eastern European countries are small, they can provide a competitive response to Western Europe if they collaborate with the V4 group and other countries. Research design, data, and methodology - The subjects of this study in the Visegrád Group area are related to the development of Marketing and Distribution Sciences in the integrated European Union. In relation to the existing energy infrastructure, construction companies and financial institutions benefit from large-scale construction projects. Existing or new infrastructure facilities among the V4 must comply with the preconditions of regional energy markets. The network of emerging markets is changing into a European-logistics hub of new markets. This hub is closely associated with the economic development of European self-sustainment given that energy for distribution and consumption is imported from Russia. Therefore, this paper indirectly provides data on the regional distribution of energy as alternative bases in Europe for market expansion to Asia. Results - As a result, it appeared unlikely that V4 failed to implement homogeneity following the standards of Western Europe, as proposed by the EU. Throughout European history, individuals have gathered in Central Europe as an innovation hub. Currently, the region is being established independently for energy industrial development and not for tourism development, and is expected to play a central role in innovation and distribution consumption. Therefore, similar to Western and Northern Europe, V4 only appears to engage in distribution consumption on the basis of the identity that it formed for itself. This area is expected to either create a regional platform or a voice over a single economic policy. Conclusions - To this end, regarding the distribution of consumer groups within and outside the region, the V4 group is expected to be established for various policy areas and as a Eurasian outpost of trade and distribution logistics. In addition, given its purpose of engaging in the distribution of energy cooperation and trade clusters, the Visegrád Group will be in charge of the center axis of the bridge for distribution logistics trading partners from the Western Balkans to Caucasus and Eastern Europe. Thus, the Visegrád Group is entering this region as a platform for market share by enabling all or any investor can gain greater industrial benefits.