• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.2
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• pp.233-247
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• 2016

Local food industry has been spreading all over the world. Korea is also actively applying and developing local food industry. However, relatively high distribution cost in Korean agricultural market is hindering its further growth. Distribution cost has close relation with shipping distance. Raised distribution cost brings major impacts not only on quality and price of products but also on greenhouse gas(carbon dioxide) emissions. Therefore, it is necessary to find a solution for inefficient distribution system of the local food industry to reduce overall cost and greenhouse gas. In this study, we present a location selection model for local food regional center using Analytic Hierarchy Process. The location of local food regional hub center is decided based on expert opinions on five factors: accessibility, quality, population, size of area, and shipping distance. The relative importance of the five factors has been concluded as follows: quality (0.430) ${\gg}$ population (0.262) ${\gg}$ travel distance (0.201) ${\gg}$ accessibility (0.075) ${\gg}$ and area (0.033). We apply and analyze the environmental management system model for Local food industry to develop the regional hub center site selection criteria and to analyze the effects of greenhouse gas emissions in the local food industry. This study, by applying and analyzing the environmental management system of the local food industry, is believed to be a valuable asset for managing greenhouse gas emission in the local food industry. Also, the data will be used for the autonomous local food industry's direct sales stall management. Eventually, this study will contribute so greatly to the local food industry's competitiveness that even large distribution companies will give way for the local food industry.

• Journal of the Korea Convergence Society
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• v.9 no.7
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• pp.231-240
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• 2018

Automobile industry is facing a variety of risks, including the rise of international oil price and the increase of car prices. In addition to the government's deregulation, efforts should be made to improve management aiming at higher production efficiency. In this study, we established a model for evaluating the procurement logistics based on the Fuzzy-AHP-TOPSIS by using the factors that are actually used in real companies aimed at the improvement of procurement logistics. A total of three automobile factories of Company G were chosen as the evaluation subject. In the result of the Fuzzy-AHP analysis that was conducted on a sample of three car factories, solving the long-term quality problems, minimizing the stop time due to the shortage of materials, preventing the of equipment accident, and solving the short-term quality problems were proven to be the most important factors. TOPSIS analysis result indicated that Factory B had the best procurement logistics. Our study has significance that it can contribute to the improvement of efficiency in the automobile industry as the evaluation model suggested in this study can be used for regular evaluation related to the procurement logistics in the future.

• Journal of the Korean Geographical Society
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• v.37 no.2
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• pp.191-202
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• 2002

Characteristics and patterns of geographic features and human activities can be interpreted in terms of spatiality and temporality. The necessity to record the historical changes and the ability to reason in the real world has lead to a new field of research so called Integrated Spatio-Temporal analysis. The objective of this study is to investigate temporal maps for Spatio-temporal analysis, which have the integration functionality for visualizing spatiality and temporality of the geographic appearances and human activities. Land information is composed of spatial, attribute and temporal data and requires spatio-temporal representations. It is possible to visualize spatio-temporal variations with spatio-temporal databases and temporal map produced by integrated data models. This study constructs spatio-temporal model for temporal maps of land price variation analysis. Taking advantage of the spatio-temporal model proposed here, it is possible to visualize spatio-temporal variations with spatio-temporal database and temporal map. On a practical level, this study would be extended and utilized to various geographic features.

• The Journal of the Korea Contents Association
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• v.10 no.2
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• pp.412-420
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• 2010

With increased complexity of product and market, the phenomenon that a consumer get paradoxical attitude toward marketing object has been increased. And this phenomenon eventually affects the relationship between consumer and product. In this study we tried to find more paradoxical phenomenon and understand consumer behavior confronting these situations when they buy agro-product based on ground theory methodology. According to the results, consumer's expectation and purchase experience can promote quality paradox experience during confronting various marketing activities such as price, product, promotion, place. Also these experience can cause quality paradox related interaction and communication even though there could be differences in their experience according to demographic characteristics, personal preference, and risk perception. Consumer will develop multiple strategies against quality paradox to manage the uncomfortable paradox experiences.

• Archives of design research
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• v.13 no.2
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• pp.15-24
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• 2000

The demands of golf car is being increased with increment in golf population, gradually proceeding to the trend of popularization, but domestic golf car industry is not so mature as it cope with the need of this market appropriately. Most import golf cars of high price have occupied the domestic market from the viewpoint of the its demands. Although the import golf car provided bad after-sales services and very expensive components, those demand's breadth continue to rise steadily. We decide to have to approach an appropriate time to develop the competitive model native to korean style in the field of golf car, since we have established our foundation in auto industry. At this point we try to analyze the golf car expected from a competition and the present state of golf car industry inside and outside of the country through this study. We attempt to derive the precondition for design development of a proper model to possess competitive power in foreign market from now on.

• Journal of Energy Engineering
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• v.26 no.3
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• pp.113-122
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• 2017

The district heating system, which is the main axis of Korea's collective energy business, contributes to the national benefit and safety with the economical heat energy supply system.However, due to the uncertainty of management subjects and the shortage of professional technical personnel, there are many problems such as deterioration of thermal efficiency and unfairness of the price of the apartment houses. In this paper, we propose the monitoring points necessary for the efficiency and fault management of the district heating customer-side. And we propose a standard reference model to standardize it. We propose a technical methodology to improve the service quality and energy efficiency of the district heating facilities by applying IoT sensor technology, real-time monitoring and integrated management system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.8
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• pp.1238-1247
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• 2022

The e-commerce market is growing faster as demand for non-face-to-face shopping increases due to COVID-19. These changes lead to the expansion of various opportunities for consumers, but companies are required to understand consumer characteristics and reflect them in their sales strategies so that they can be competitive in the market. This study examined how the perceived ease and utility of consumers affect the intention to use the platform according to the technology acceptance model (TAM). As a result, it was confirmed that the price competitiveness, awareness, and ease of use of the platform had a significant effect on the utility. In addition, it was confirmed that there was no moderating effect of user characteristics on the effect of ease of use on the platform intention. These results present important implications for a company's sales strategy, and in future studies, it is necessary to expand the study in consideration of more diverse variables.

• Korean Journal of Agricultural Science
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• v.30 no.1
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• pp.20-30
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• 2003

This study was carried out to examine the e-Business status of Korea Forest Product Industries and to propose the development. The use level of e-Business in korea forest product industries have stayed in internal company information network integration stages. But lots of companies located in the insufficient of e-Business models, the lack of qualified staffs, and the shortage of e-Business operating technology and implementation. As the result of this study, the followings must be considered; 1. For the promotion of e-Business use, it is needed to maintain price competitiveness, quality competitiveness, and market correspondence capacity. 2. For the settlement of e-Business models, it is important to connect information network among cooperation companies as like forest products standardize, common database, and standard electronic catalogue. Also, it needed developing program to strengthen the competitiveness of forest product industries, expanding to outsourcing and affiliated companies.

• The Journal of Society for e-Business Studies
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• v.24 no.1
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• pp.1-16
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• 2019

Recently, since responding to meteorological changes depending on increasing greenhouse gas and electricity demand, the importance prediction of photovoltaic power (PV) is rapidly increasing. In particular, the prediction of PV power generation may help to determine a reasonable price of electricity, and solve the problem addressed such as a system stability and electricity production balance. However, since the dynamic changes of meteorological values such as solar radiation, cloudiness, and temperature, and seasonal changes, the accurate long-term PV power prediction is significantly challenging. Therefore, in this paper, we propose PV power prediction model based on deep learning that can be improved the PV power prediction performance by learning to use meteorological and seasonal information. We evaluate the performances using the proposed model compared to seasonal ARIMA (S-ARIMA) model, which is one of the typical time series methods, and ANN model, which is one hidden layer. As the experiment results using real-world dataset, the proposed model shows the best performance. It means that the proposed model shows positive impact on improving the PV power forecast performance.

• Journal of the Korean Society of Costume
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• v.40
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• pp.109-119
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• 1998

In order to identify the factors responsible for the recent drastic increase of imported apparel in Korea, an attempt was made to determine the variables influencing the purchasing behavior of imported and domestic apparel and forecast the purchasing intention with the use of Fishbein & Ajzen's behavioral intention model including both attitude and subjective norm. Based on literature review, the empirical study was conducted using the questionnaire for 900 college women and high school girls living in Seoul. Descriptive statistics, t-test, paired-t test, multiple regression analysis, and correlation analysis were made of 771 returned questionnaires using SAS program. The results were as follows : First, the results of assessing both their attitudes toward imported and domestic apparel and their subjective norms were shown to be different. Second, there was a difference in the attributes that had an effect on their attention to buy imported and domestic apparel. Third, those respondents having a preference for imported apparel were most highly influenced by color and price. While those respondents showing a preference for domestic apparel were most highly influenced by materials and comfortableness. Fourth, the validity of the prediction value of their buying intention was confirmed as it was shown to be more than coreelation coefficien r=0.65. In conclusion, 1) it was proved that both attitude and subjective norm were the important variables that could predict the consumer's purchasing intention, 2) since competitiveness in color and materials and brand influencing the consumer's purchase of and preference for domestic apparel relatively lagged behind in comparison with that of imported apparel, the domestic apparel business enterprise will have to make a greater effort to develop differentiated color, material and prestigious brand so as to enhance competitiveness with imported apparel.