• 한국태양에너지학회 논문집
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• 제26권4호
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• pp.9-16
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• 2006

Geothermal-energy has been getting popular as a natural energy source for green buildings these days. Public building with gross area more than $3000m^2$, planned after March, 2005, should spend about 5% of total building cost for equipment run by natural energy source (e.g. geothermal, solar heat, solar power, etc) according to renewable energy promotion law in Korea. As a result geothermal-energy using heat pump system is emerging as a effective alternative for realistic and economic plan although design guidelines and construction code for the system is in progress and technical data is far from sufficient. The quantitative analysis on the performance of geothermal-energy using heat pump system is insufficient for appropriate design of it. In this paper, cooling performance of geothermal-energy using heat pump system of residential and retail etc. mixed-use building has been analyzed on the basis of temperature comparison between inlet and outlet of heat exchangers of the operating system. Additionally, dry-bulb temperature and relative humidity have been measured and analyzed together as an index of indoor thermal environment.

• 한국의류학회지
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• 제26권6호
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• pp.877-888
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• 2002

Price is a product attribute, which is determined by the function of the producing cost and profit. It is also identified as one of the most important components of the marketing mix. For consumers, price is an always-existing cue, definite evaluation criteria, and easily accessible information in the purchasing process. Considering the concept of the clothing-price in a comprehensive perspective encompassing economic, psychological and marketing perspectives, a theoretical model was developed. The model includes souses and dimensions of price perception and related behaviors. Souses of price perception were: the actual retail price at selling point, the internal reference price and external reference price. The dimensions of price perception included sacrifice perception, economic value perception, inference, savings perception and price as information perception. Clothing price related behaviors that flowed these dimensions were: low price consciousness, value for money consciousness, price-quality inference, price-prestige inference, sale proneness and price mavenism. An empirical study was conducted to validate the theoretical model. A questionnaire was developed and data were collected from 680 adult women living in Seoul, Korea. Confirmatory factor analysis as well as exploratory factor analysis results showed that theorized price related behaviors were successful classifications.

• 유통과학연구
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• 제16권5호
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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.

• KIEE International Transactions on Power Engineering
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• 제3A권1호
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• pp.53-60
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• 2003

At present the electric power industry in Korea is going through a major restructuring process. The restructuring is motivated by a desire to reduce electricity supply costs, to attract new in-vestment in modern generation, transmission and distribution facilities, and to stimulate innovation in the wholesale production and the retail supply of electricity. The experience to date shows that restructuring of electric power industry in the US, however, is marred with a number of problematic market performances including unreasonably high prices at wholesale. This paper investigates the important role of Power Exchange for stabilizing electric power industry in transition by offering various financial products. These financial products are used for risk hedging by the market participants. The paper focuses on the risk hedging by an individual supplier and derives an explicit decision rule that incorporates the attitude towards the risks. In addition to providing the financial products for risk hedging by market participants, the Power Exchange plays another very important role of financial safeguard system. Because of its unique characteristics, the Power Exchange is well suited for financial surveillance where it performs the early detection of unsound financial (and to a large extent operational) practices on the part of any system users and protect the system integrity and the market participants from the consequences of a default in the clearing structure.

• 경영과학
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• 제19권1호
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• pp.75-88
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• 2002

In recent years, it Is necessary to develop an alternative measure, the time efficiency of management activities, as a more measurable and operational tool Instead of traditional accounting measures such as inventories turnover. Therefore the concept of throughput time has got much attention as useful tool for controlling time based management. The purpose of this paper is to investigate the usefulness and adaptability of throughput time. The sample consists of 212 non-banking firms listed on the Korean Stock Exchange. The test Period were 10 years(1989-1998). The regression analysis for this study was performed using the cross-sectional data for the sample, and it was also performed for each Industry. The results show that net Income to tonal assets and labor productivity (value added Per employee) variables in the model was signiflcantly associated with throughput time. On the other hand, the relationship between throughput time and logistics cost to sales do largely not have statistical significance. Especially, it is found that the relationship do not have significance or negative response in food & beverage industry and wholesale & retail industry. In summary, the results show that the measure of throughput time can be an effective managerial Indicator for time based competition and management.

• 한국가금학회:학술대회논문집
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• 한국가금학회 2001년도 제18차 정기총회 및 학술발표 PROCEEDINGS
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• pp.104-106
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• 2001

계란의 판매전략에는 $\ulcorner$제품개발$\lrcorner$ 과 $\ulcorner$판로개척$\lrcorner$ 의 두 가지 길이 있으며 이러한 전략적 대응이 필연적으로 성공하고 있다고는 할 수 없다. 판매 노력에 관한 평가는 앞으로 경영진단의 과제가 될 것이며 어느 것을 선택하느냐에 따라서 경영별 유리성은 격차가 더욱더 커질 것이다. 최근 시장개방화와 만성적인 생산과잉에 의한 수익성의 악화로 농가부채 증가 등 채란 양계 경영에 많은 어려움을 겪고 있는 실정이다. 한편 이러한 가운데서도 저 난가의 대응책으로 고부가가치, 상품차별화에 의한 신제품 개발, 판로개척 등 수익성 확보로 맞서고 있는 경영을 볼 수 있다. 앞에서 말한바와 같이 경영구조를 비교 분석한 것을 종합해보면 저 난가 구조하에서 살아남을 수 있는 길은 생산비절감도 중요한 비중을 차지하겠지만 무엇보다도 가격에 대하여 어떻게 대응할 것인가라는 전제하에 도매보다는 소매의 비율을 높인다든지 제품개발(상품차별화)을 통한 고 부가가치의 방향으로 나아가야 할 것이다.

• 한국통신학회논문지
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• 제39C권1호
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• pp.97-105
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• 2014

현재 제조, 유통산업에서는 입출고 운영결과를 수기 작성, 전산 입력 또는 엑셀파일에 의존하는 물류를 운영하고 있다. 이에 수기 입력 오류, 전산 입력 오류, 실시간 데이터 처리 불가, 수량 부족/초과 문제 발생과 같이 물류를 운영하는데 문제가 발생하고 있다. 이에 본 논문은 RFID 기술을 활용하여 입출고 데이터 처리를 통한 입고 자동 검수 시스템을 제안한다. 또한 실시간 데이터 처리 및 자동 검수를 통해 기존 물류 운영 대비 RFID를 적용한 시스템의 비용 절감효과를 제안한다. RFID 기술을 적용하여 입출고 데이터를 현장에서 실시간으로 처리할 수 있으며 수량 부족/초과 문제도 현장에서 바로 조치할 수 있게 된다. 그럼으로써 현재 운영 시스템 대비 RFID 시스템을 통해 물류비를 절감할 수 있다.

• 복식문화연구
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• 제27권1호
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• pp.57-63
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• 2019

Due principally to the desire to seek lower production costs, the bulk of the world's textile and clothing manufacture migrated to low-cost zones, mainly outside Europe, over the course of the late-twentieth century. In the early-twenty-first century, fast fashion became a dominant force worldwide, with 'Western' retail buyers hunting cheaper deals from clothing manufacturers (mainly in Asia), and with occasional disasters not changing matters beyond the duration of a fashion season. Progressively, seams became narrower, cheaper raw materials were used and durability was no longer an aim. Why bother to do otherwise? This was what the 'Western' consumer wanted: fashion to be worn only a few times and then discarded, despite the fact that vast amounts of human, technological and financial resources were wasted in such a quest. By the end of the second decade of the twenty-first century, the production of textile and clothing products continued to contribute substantially to global warming. This paper reviews briefly the current conditions of manufacture, and argues that the research agenda should be focused on addressing the implications of a progressively changed focus, not on fast-fashion products, but instead on the production of products with greater durability. Meanwhile 'Western' consumers need to turn away from fast fashion and realise that waste is bad for their economy and their society. It is argued further, that after a period of re-adjustment, substantial financial rewards await the national textile and clothing industries that undergo such a turn around.

• International Journal of Computer Science & Network Security
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• 제23권8호
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• pp.137-145
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• 2023

E-Commerce is a buzzword well known for electronic commerce activities including but not limited to the online shopping, digital payment transactions, and B2B online trading. In today's digital age, e-commerce has been playing a very important and vital role in areas such as retail shopping, sales automation, supply chain management, marketing and advertisement, and payment services. With a huge amount of data been collected from various e-commerce services available, there are multiple opportunities to use that data to analyze graphs and trends. Strategize profitable activities, and forecast future trade. This paper explains a contemporary approach for collecting key data metrics and implementing cost-effective automation that will support in improving conversion rates and sales performance of the e-commerce websites resulting in increased profitability.

• Asia pacific journal of information systems
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• 제31권4호
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• pp.472-490
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• 2021

The detection of products with manipulated reviews has received widespread research attention, given that a truthful, informative, and useful review helps to significantly lower the search effort and cost for potential customers. This study proposes a method to recognize products with manipulated online customer reviews by examining the sequence of each review's sentiment, readability, and rating scores by product on randomness, considering the example of a Russian online retail site. Additionally, this study aims to examine the association between brand awareness and existing manipulation with products' reviews. Therefore, we investigated the difference between well-known and unknown brands' products online reviews with and without manipulated reviews based on the average star rating and the extremely positive sentiment scores. Consequently, machine learning techniques for predicting products are tested with manipulated reviews to determine a more useful one. It was found that about 20% of all product reviews are manipulated. Among the products with manipulated reviews, 44% are products of well-known brands, and 56% from unknown brands, with the highest prediction performance on deep neural network.