• The Journal of Fisheries Business Administration
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• v.43 no.2
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• pp.27-39
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• 2012

The purpose of this study lies in analyzing the effects of Fukushima nuclear plant incident, due to the earthquake in the northeastern part of Japan, on South Korean consumers'responses to domestic marine products. Survey results show that the response to the event by all consumers is not significant, but not by individual consumer. Empirical results show that if consumers are relatively more interested in health issues, if they consume mollusca relatively more among marine products and if they are with children under the age of 14, they increased the consumption of domestic marine products while decreased that of Japanese seafood. On the contrary, if consumers take shellfish products relatively more among seafood, they reduced the consumption of domestic marine products as well as Japanese ones.

• Journal of Fashion Business
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• v.1 no.2
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• pp.20-30
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• 1997

The purpose of this study is to examine the influence of European middle class, ethos to costume. This study is concerned with historic situation about enlightment and French revolution, and the change process of costume before and after the French Revolution. In order to investigate the relationship, this studies include the phenomenon of costume in the basis of thoughts of the age (enlightment), political event (French revolution) and social system (middle classes). The Influence of enlightment to costume of man and children were which emphasized practical aspect. Children costume was developed independently from costume of adult before French revolution. French revolution played a roll in silhouette, color, texture of costume for man. Especially pantalons which names Sans-culotte generalized as modern clothing for man. Women freed from corset because of the influence of neo-classicism for a while. However, costume of woman did not change much because women were excluded from of enlightment.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06c
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• pp.205-207
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• 2006

유비쿼터스 컴퓨팅 환경의 실현 가능성이 높아지면서 Automatic identification and Data Capture(AIDC)에 대한 많은 연구들이 이루어지고 있다. AIDC 기술 중 하나인 Radio Frequency IDentification(RFID)는 라디오 주파수에 따라 반응하는 태그를 이용하여 사람이나 사물을 인식하는 기술이다. 또한 RFID 특성을 지원하면서 발생 이벤트를 효율적으로 처리하기 위해 다양한 미들웨어가 개발되고 있다. 그러나 미들웨어의 지원에도 불구하고 RFID 시스템 개발자는 많은 부가적 지식을 알아야만 한다. 이 점을 해결하여 RFID 기술을 편리하게 사용하도록 돕는 Business Aware Framework(BizAF)이 제시되었다. 본 논문에서는 BizAF를 기반으로 여러 애플리케이션을 개발한 경험을 바탕으로 RFID 비즈니스 이벤트들을 생성하기 위한 모델링 프로세스를 제시하고자 한다.

• Journal of the Korean Operations Research and Management Science Society
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• v.28 no.2
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• pp.105-127
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• 2003

In this paper, four different data mining techniques, two neural networks and two statistical modeling techniques, are compared in terms of prediction accuracy in the context of bankruptcy prediction. In business setting, how to accurately detect the condition of a firm has been an important event in the literature. In neural networks, Backpropagation (BP) network and the Kohonen self-organizing feature map, are selected and compared each other while in statistical modeling techniques, discriminant analysis and logistic regression are also performed to provide performance benchmarks for the neural network experiment. The findings suggest that the BP network is a better choice among the data mining tools compared. This paper also identified some distinctive characteristics of Kohonen self-organizing feature map.

• Journal of Korean Institute of Industrial Engineers
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• v.30 no.1
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• pp.1-10
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• 2004

Advance in Internet technology has changed traditional production planning and control methods. In particular, collaborations between participants in supply chains are being increasingly addressed in industry for enhancing chain-wide productivity. A representative paradigm that emphasizes collaboration in production planning and control is CPFR(Collaborative Planning, Forecasting and Replenishment). In this paper, we present a multi-agent system architecture that supports the collaborations specified in CPFR. The multi-agent system architecture consists of event manager, data view agent, business rule agent, and collaboration agent. The collaboration agent systematically controls negotiation between supplier and buyer with the aid of collaboration protocol and blackboard. The multi-agent system has been implemented with EJB(Enterprise Java Beans).

• Asia Marketing Journal
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• v.20 no.3
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• pp.63-81
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• 2018

This research examines how the announcement of a celebrity endorsement contract with a brand can influence consumers' judgment of its future growth in a market. Using both behavioral experiments and an event study analysis, we find that when the brand is perceived to be technology-focused (versus marketing-focused), the information about the celebrity contract can lead consumers to view the brand's future as less promising. Furthermore, we identify consumers' inferences about the quality of the brand as a psychological factor underlying this effect. This paper provides evidence that star-marketing can sometimes signal management's misjudgment about resource allocation for a brand, which unduly invests in celebrity marketing at the expense of quality improvement for the product.

• Journal of Information Technology Applications and Management
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• v.29 no.5
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• pp.27-37
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• 2022

This study intends to link agricultural machine history data with related organizations or collect them through IoT sensors, receive input from agricultural machine users and managers, and analyze them through AI algorithms. Through this, the goal is to track and manage the history data throughout all stages of production, purchase, operation, and disposal of agricultural machinery. First, LSTM (Long Short-Term Memory) is used to estimate oil consumption and recommend maintenance from historical data of agricultural machines such as tractors and combines, and C-LSTM (Convolution Long Short-Term Memory) is used to diagnose and determine failures. Memory) to build a deep learning algorithm. Second, in order to collect historical data of agricultural machinery, IoT sensors including GPS module, gyro sensor, acceleration sensor, and temperature and humidity sensor are attached to agricultural machinery to automatically collect data. Third, event-type data such as agricultural machine production, purchase, and disposal are automatically collected from related organizations to design an interface that can integrate the entire life cycle history data and collect data through this.

• Culinary science and hospitality research
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• v.17 no.3
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• pp.1-19
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• 2011

This study aims to analyze importance and performance factors on the quality of food service event attributes in participants and organizers, so that it could provide helpful information to build up a detailed marketing strategy and present considerations for revisit increase and more efficient business results as well. Importance on food service event attributes scored a higher level than performance on the whole. Notably, in regard to the attributes of food service event, it was found that respondents put higher stress on vessel(4.10 points), natural seasoning(4.06 points), reservation service(4.04 points), parking service(3.95 points), customer level(3.85 points), organizer's service (3.84 points), polished atmosphere (3.83 points) and taste of food (3.83 points) than anything else. In terms of IPA analysis on food service event attributes, it was important to continuously maintain 'vessel', 'reservation service', customer level', 'sauce taste', 'recency', price', 'chefs fame', etc. Some items such as 'parking service', 'natural seasoning', 'polished atmosphere', 'taste of food', 'see off service', 'cleanliness' are in need of intensive care and operation.

• The Journal of Society for e-Business Studies
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• v.16 no.3
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• pp.249-261
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• 2011

The rapid growth of e-business market makes new online companies to start and existing offline companies to join in this area. As the number of players of this market grows rapidly, the competition among them is very intense. Many companies invest huge resources to online marketing including search advertisement, email advertisement and banner advertisement. Because these traditional online marketing activities mainly focus on how to invite visitors to their web sites, ROI of these marketing activities are getting lower. Many companies are looking for a new marketing method to escape this situation. In this paper, we propose ROMS (Realtime Online Marketing System) which supports tools to improve conversion ratio of e-commerce sites, ROMS gathers behavioral data of visitors and analyzes it in realtime. ROMS supports live chats, visitor profiling, context analysis, event detection, and live marketing. With ROMS, personalized offers based on visitors' realtime context can be made for each visitor.

• The Journal of Society for e-Business Studies
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• v.14 no.3
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• pp.71-85
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• 2009

Nowadays the research and development of various middleware for the ubiquitous computing environment has been demanded and many application services have been provided. The practical ubiquitous computing environment is the world where a variety of services based on RFID/USN devices are integrated with each other and make synergy effects all together. In the end user perspectives, there should be a middleware platform and business logic framework collaborating various services all together to satisfy the user requirements. In addition, the platform should provide the user to describe a scenario based on various event to maximize the collaboration. In this paper, we have proposed business logic framework which is supporting collaboration between heterogeneous service systems based on the user's scenario. We have also tried to show the efficiency and scalability of the proposed framework by providing the result of a couple of tests.