• Journal of Navigation and Port Research
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• v.29 no.6 s.102
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• pp.567-572
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• 2005

Trade between nations has been globalized since establishing the WTO(World Trade Organization). By lowering trading barriers under the WTO's system, trade in goods has been gradually increased It requires global logistic system that transports goods in between nations. To save cost of product, cargo of product is containerized and container ships to carry container cargo is going to be bigger: In the market, there are many vendors to provide artificial intelligent modules to operate container terminal. In order to integrate automated container terminal system easily and successfully, this thesis proposes high-level XML/ JMS( eXtensive Markup Language/Java Message Service) communication model and multi-agent based system architecture to share knowledges, solve problems, and active objectives by cooperating between autonomous and intelligent agents that are developed by 3rd party companies in the market. This thesis analyzed current situation of advanced automated container terminal with case studies on implemented systems and difficulties to develop automated container terminal system, reviewed technologies of intelligent agent, communication and automation that unmaned automated container terminal is required.

• The Korean Journal of Applied Statistics
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• v.21 no.5
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• pp.791-799
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• 2008

Ansim Flat DATA Plan is a DATA additional service product related to DATA call in a mobile telephone company A. Up to now, the company A is selling it by outbound TM after targeting customers which used data within specific price band. In this paper, we propose a targeting method applying score model combining response rate and retention rate by data mining. The suggested target model is to find customers more likely not only to respond to outbound TM but also to retain Ansim Flat DATA Plan. The proposed targeting method is expected to improve both from 23.7% to 38.8% in the response rate and from 53.2% to 61.4% in the retention rate.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.1
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• pp.105-113
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• 2017

Network externality can be defined as the effect that one user of a good or service has on the value of that product to other people. When a network externality is present, the value of a product or service is dependent on the number of others using it. There exist asymmetries in network externalities between the online and traditional offline marketing channels. Technological capabilities such as interactivity and real-time communications enable the creation of virtual communities. These user communities generate significant direct as well as indirect network externalities by creating added value through user ratings, reviews and feedback, which contributes to eliminate consumers' concern for buying products without the experience of 'touch and feel'. The offline channel offers much less scope for such community building, and consequently, almost no possibility for the creation of network externality. In this study, we analyze the effect of network externality on the competition between online and conventional offline marketing channels using game theory. To do this, we first set up a two-period game model to represent the competition between online and offline marketing channels under network externalities. Numerical analysis of the Nash equilibrium solutions of the game showed that the pricing strategies of online and offline channels heavily depend not only on the strength of network externality but on the relative efficiency of online channel. When the relative efficiency of online channel is high, the online channel can greatly benefit by the network externality. On the other hand, if the relative efficiency of online channel is low, the online channel may not benefit at all by the network externality.

• Journal of Digital Contents Society
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• v.18 no.1
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• pp.9-16
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• 2017

Recently, consumer who has a desire to spend less money want to buy a cheap and good product because of long economy recession. Secondhand trading is regarded as a good method which allows people to buy cheap and good product. Activation of secondhand trading reduces the psychological distance among customers. Especially, in the case of expensive books such as major books, each university has community only for used book trading. However, existing used book community is hard to find current real-time trading state at a look, and it is impossible to purchase reasonably because of a one-way pricing of the seller. In this paper, we design and implement a used book trading web service using an auction system which can help anyone to trade used book easily. It is designed web based system and it provides convenience to user through efficient book registration function and book search function.

• Journal of Korean Society for Quality Management
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• v.44 no.2
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• pp.389-408
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• 2016

Purpose: This study was designed to analyze the behavioral change of knowledge structures and the trends of research topics in the quality management field. Methods: The network structure and knowledge structure of the words were visualized in map form using co-word analysis, cluster analysis and strategic diagram. Results: Summarizing the research results obtained in this study are as follows. First, the word network derived from co-occurrence matrix had 106 nodes and 5,314 links and its density was analyzed to 0.95. Average betweenness centrality of word network was 2.37. In addition, average closeness centrality and average eigenvector centrality of word network were 0.01. Second, by applying optimal criteria of cluster decision and K-means algorithm to word co-occurrence matrix, 106 words were grouped into seven clusters such as standard & efficiency, product design, reliability, control chart, quality model, 6 sigma, and service quality. Conclusion: According to the results of strategic diagram analysis over time, the traditional research topics of quality management field related to reliability, 6 sigma, control chart topics in the third quadrant were revealed to be declined for their study importance. Research topics related to product design and customer satisfaction were found to be an important research topic over analysis periods. Research topic related to management innovation was emerging state and the scope of research topics related to process model was extended to research topics with system performance. Research topic related to service quality located in the first quadrant was analyzed as the key research topic.

• International Commerce and Information Review
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• v.14 no.1
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• pp.391-418
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• 2012

The use of SNS (Social Network Service) has been increasing in world society and the SNS has been used to satisfy different purposes of social groups over the years. In the beginning, the SNS were formed using e-mail, listserve, newsgroup, etc., where information was shared among relatively homogeneous groups of people. Now different groups including corporations have been using SNS such as personal web pages, blogs, Facebook and Twitter for their social media marketing. This study intends to verify the relationship between SNS use and export marketing performance. To achieve this, different types of SNS use were analyzed in order to verify their relationship with export marketing performance. The conceptual model is suggested in this paper and several research constructs are identified. The constructs used in this paper include export marketing performance, SNS use, degree of innovation, product online fitness, marketing competence, and internationalization competence. According to the results, the SNS use directly influences the export marketing performance. In addition, the factors which determine the level of SNS use are product's online fitness and organizational willingness to undertake innovation. Therefore, it is suggested to increase SNS use in different marketing purposes for future research.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.3
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• pp.105-113
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• 2012

There are many studies about the relationship between customer satisfaction and SCM, web site quality or online Word of Mouth (WOM). When a customer wants to purchase any product online, he has to watch the detail of a online shopping web by computer. So the web sits' quality can be very important for the customer to get enough information. Recently, internet shopping malls are very much prospered. To understand why these kinds of internet transactions become very popular, this study investigates a possible effect of such crucial factors as web site quality, supply chain management(or deliver service), and online Word of Mouth(WOM) of an internet shopping mall to its customer satisfaction and trust, eventually leading to purchasing product and services. This study develops a experimental research model and tests it based on 170 survey response using regression analysis.. The finding of this research implies that system quality, information quality, quick and correct, accurate delivery service, and online WOM are influential factors to the performance of online shopping mall, while design quality, cost of delivery do not affect relationship significantly.

• The Journal of Society for e-Business Studies
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• v.25 no.2
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• pp.65-98
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• 2020

The adoption of artificial intelligence technology is continuously increasing in online stores. However, there have been no empirical studies that examine whether each of the artificial intelligence functions affects consumers' continuance intent to shop online. This study aims to understand the effect of the main function of artificial intelligence on the continuance intention of online store via empirical analysis. In particular, we focus on how artificial intelligence as a resource affects the heterogeneity of online stores in terms of resource-based views. We also analyzed the mediating effect of online store's image (product and service) between artificial intelligence (AI) functions and continuance intention. The results suggest that the presence of AI function on online stores positively influence the continuance intention from the resource-based perspective. Furthermore, it was found that AI technology positively affects the image of a product and service. We also found that there was a difference in the way of influencing the intention to use online stores by AI functions.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.5
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• pp.561-574
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• 2011

This study investigates the ultimate factor structure of consumer dissatisfaction with the off-line purchase and usage of clothing. It identifies the determinant dimensions of consumer dissatisfaction on clothing purchase and usage and investigates the hierarchical structure of consumer dissatisfaction by assessing and comparing the effectiveness of five alternative factor structure models. A total of 300 women were online-surveyed to assess the level of dissatisfaction based on their dissatisfying experience with clothing purchases and usage in terms of product quality, price, salesperson's attitude, and store environment. The exploratory factor analysis identified the underlying dimensions of dissatisfaction: Handling, Aesthetics, Salesperson, Size, Price, Product Quality, Service, and Environment. By employing a first-order confirmatory factor analysis and higher-order confirmatory factor analysis, consumer dissatisfaction was confirmed to have a hierarchical structure with three second-order constructs Intrinsic instrument is manifested by handling, quality, and size, Intrinsic expression consists of service, salesperson, and environment, and Extrinsic circumstance contains aesthetics and price. On empirically demonstrating the multi-dimensional constructs of consumer dissatisfaction by identifying its hierarchical structure, the study provides the theoretical and practical insights to comprehend consumer purchase and post-purchase behavior. Specifically, it affords an empirical platform to extend the scope of research with condensed concepts of dissatisfaction to researchers. In addition, it also enables marketers to take a broader view of consumer dissatisfaction by providing cues about potential problems and identifying the source of those problems.

• Journal of the Korean Society of Costume
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• v.50 no.8
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• pp.99-111
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• 2000

The purposes of this study were to segment the elderly women's apparel market according to their benefits sought and to develop the profiles of each segment. Questionnaire survey was done to 500 elderly women aged over 55 in Chonbuk province from Mar. 1. to Mar. 15, 2000, and 360 questionnaires were used. Frequencies, percentages, means, factor analysis, cluster analysis, $\chi$$^2$-test, and ANOVA were done with SPSS Win+. Duncan's Multiple Range test was followed. The factors of clothing benefits ere consisted of fashion, brand loyalty, economy, practicality, activity, and utility. The elderly women segmented into 4 groups of the reasonability pursuit, th economy & practicality, the benefit unconscious, and the fashion & brand pursuit. The fashion information sources were divided into mass communication-dominated source and point-of-purchase & consumer-dominated source. The factors of store patronage criteria were divided into product assortment, convenience, and additive service. The economy and practicality pursuit selected their clothing with the help of others, used any kind of information sources less, considered convience of the store more, shopped at traditional market, group size was the biggest, was the oldest, and educated less. The reasonability pursuit selected their clothing by themselves, used all kind of information sources, considered many facets of stores, shopped at department store, was younger, healthier, educated more, and lived with husband more. The benefit unconscious spent less money to their clothing, lower usage of information sources, selected their clothing with the help of others, considered all facets of stores less, shopped at moderate or volume zone apparel market or traditional market, was older, healthy, and involved the widowed more. The fashion and brand pursuit spent more money to clothing, considered the product assortment or additive service of store more, shopped at department store, and selected their clothing by themselves, group size was the smallest, was younger educated more, healthy, and showed a tendency of living with husband.