• Korean Business Review
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• v.16
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• pp.99-121
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• 2003

In consumer research area, familiarity has been frequently mentioned with relation to customers' product information processing and choice behavior. However, the familiarity has been utilized initially in this paper to examine if the relationship between consumers' evaluations of attributes of an internet shopping mall and their inquiry and purchase intentions on there is affected significantly by the degree of familiarity. The results have shown that the relationship between levels of the safety, the functional convenience, and the tangibility attribute of an internet shopping mall and consumers' willingness to inquire about/purchase products on there is affected significantly by the degree of familiarity. Interestingly, the relationship between the tangibility attribute of a mall and customers' inquiry willingness on there is not impacted significantly by the familiarity. Thus, we conclude that our model and hypotheses have been supported quite strongl.

• Journal of Navigation and Port Research
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• v.38 no.3
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• pp.277-289
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• 2014

Fishing village is becoming the central base of fishing industry and it plays a major role. However, there is a decrement of marine resources and some difficulties with the deterioration of fishing industry management. In order to solve these problems, there should be some developments(e.g. fishing village toursim development) on various undergoing government and the private organization programs. Nevertheless, there are not guidelines for fishing village tourism development to utilize for practical business. Therefore, it is necessary to understand the current status and guidelines regarding the development of fishing village for coastal planner. The primary purpose of this study is to investigate the characteristics of fishing village development works in Korea and Japan. The second purpose is to identifie success factors after analyzing individual success cases. Based on evidence from the literature and a dialogue with village leader, a literature review on extracting success cases for guidelines were selected according to criteria such as the degree of contribution to an increase in income of the fishing village, the degree of contribution to an increase in consumption of marine products using local natural resources, the number of tourists that visits the village. Finally we propose guidelines for future fishing village development projects. The guidelines based on the successful cases, as well as the major factors about the objectives and direction of fishing village tourism development, suggested as follows. 1)Plans for land use, 2)Development of tourist resources, 3)Plans for views, 4)Plans for resource protection, 5)Plans for operation and marketing.

• Korean Journal of Medicinal Crop Science
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• v.7 no.4
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• pp.316-324
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• 1999

In China, medicinal plants play almost the same important role in the general health service as the western medicine. In this paper, we present a brief review about the industrial development of medicinal plants in China. A nation-wide survey shows that there are 11, 118 species of medicinal plants in China. The total annual output value of natural products is about $6, 000. The output value of preparations is 3 billion US dollars. Over 100 new drugs have been developed from the medicinal plants. As the trend worldwide today that human-being favors the way of life back to nature, medicinal plants will play a very important role, and their industrial exploitation will certainly be keeping a key position for human health.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.9
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• pp.1153-1158
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• 2018

Online customer evaluations and social media information among a variety of information sources are critical for businesses as it influences the customer's decision making. There are limitations on the time and money that the survey will ask to identify a variety of customers' needs and complaints. The customer review data at online shopping malls provide the ideal data sources for analyzing customer sentiment about their products. In this study, we collected product reviews data on the smartphone of Samsung and Apple from Amazon. We applied five classification algorithms which are used as representative sentiment analysis techniques in previous studies. The five algorithms are based on support vector machines, bagging, random forest, classification or regression tree and maximum entropy. In this study, we proposed entropy score which can comprehensively evaluate the performance of classification algorithm. As a result of evaluating five algorithms using an entropy score, the SVMs algorithm's entropy score was ranked highest.

• The Journal of Korean Institute for Practical Engineering Education
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• v.2 no.2
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• pp.23-29
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• 2010

In this study, there is a modeling for the procedure and operational method of the project based capstone design and related products which are a certificate of graduate status, and those results were evaluated by self-review and the performance assessment. Finally, the improvements in the operating management method are proposed. Before one semester by the end of to the assessment, the design thesises of capstone results are fixed to the 15 sets by 2 people in each group. All teams are satisfied the criteria of evaluation, and they all got a grad over 60 points. The mean value of their's score are similar to the average of recent 5 years. The results of self-evaluations and questionaries indicate a totally self-satisfied(3.8~4points out of 5), but the weak parts of this procedure are known as the area of plan making and Implementation. Also, there are some problems associated with a group of people into a team by the human relation rather than knowledge based mutual supplementation.

• Journal of Practical Engineering Education
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• v.6 no.1
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• pp.23-29
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• 2014

In this study, there is a modeling for the procedure and operational method of the project based capstone design and related products which are a certificate of graduate qualification, and those results were evaluated by self-review and the performance assessment. Processing of research based on wireless searching robot is described according to the model. Before one semester by the end of to the assessment, the design thesis of capstone results was fixed to 18 groups with two people in each group. 13 teams out of 18 teams are satisfied the criteria of evaluation, and they all got a grade over 60 points and the other teams are not qualified at the first stage of final judgment. The total team mean average is 71.79. The research based on wireless searching robot was earned the highest average point among the other teams which is 96.1.

• Journal of Information Technology Services
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• v.16 no.2
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• pp.21-32
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• 2017

This study analyzes the variable consumer characteristics that influence the intention to use online product reviews. In online e-commerce, where purchases take place without consumers seeing the products in person, the product reviews left by other consumers who have already purchased the product are believed to be valuable information. However, when different consumers read the same product review, their responses to it may vary. This study analyzes the characteristics of consumers who utilize product reviews for their purchases. Consumer characteristics are categorized into personal information, personality, purchasing tendency, and experience related to product reviews. These factors are examined to see if they have direct or indirect effects on a consumer's intention to use product reviews when making online purchases. We surveyed a total of 240 consumers who had experience using e-commerce and knew about online product reviews. Once the data was collected, path analysis was conducted using the statistics tool AMOS. The study results reveal that consumers who are female, extroverted, and have higher price sensitivity think that product reviews left by others are useful, and that this "perceived usefulness" has a positive effect on the intention to use product reviews for making online purchasing decisions. In addition, consumers who are agreeable to others, have high brand sensitivity, and who have left numerous reviews themselves demonstrated the tendency to trust reviews left by others more. Thus, we conclude that this "perceived reliability" makes it more likely that a consumer will use product reviews when making online purchasing decisions. Future research can be done to develop this study further by analyzing whether providing online product reviews corresponding to the personal characteristics of consumers enhances the effect of product reviews on online purchasing decisions.

• Journal of KIISE
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• v.42 no.4
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• pp.512-521
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• 2015

Internet users purchase goods on the Internet and express their positive or negative emotions of the goods in product reviews. Analysis of the product reviews become critical data to both potential consumers and to the decision making of enterprises. Therefore, the importance of opinion mining techniques which derive opinions by analyzing meaningful data from large numbers of Internet reviews. Existing studies were mostly based on comments written in English, yet analysis in Korean has not actively been done. Unlike English, Korean has characteristics of complex adjectives and suffixes. Existing studies did not consider the characteristics of the Internet language. This study proposes an emotional classification method which increases the accuracy of emotional classification by analyzing the characteristics of the Internet language connoting feelings. We can classify positive and negative comments about products automatically using the Internet emoticon. Also we can check the validity of the proposed algorithm through the result of high precision, recall and coverage for the evaluation of this method.

• Environmental and Resource Economics Review
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• v.23 no.1
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• pp.43-65
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• 2014

In this paper, we test for allocative efficiency of productive inputs including electricity and measure the divergence between the actual and optimal level of electricity for the chemical products, which is a relatively highly electricity-intensive sector in Korean manufacturing industries, by estimating a shadow cost function. Supposing cost minimization subject to market prices was achieved, we derive the price elasticities of demand for each input and simulate the impact of a 10% increase in power rate on its demand and supply price by estimating jointly a cost function with an inverse supply relation. The null hypothesis of allocative efficiency of inputs is rejected over the period 1982-2006. On average, electricity is used more than optimal level by 98% per year. The demand for electricity decreases by 11.4%, and supply price, on average, falls by 0.08%, other things being equal.

• Environmental and Resource Economics Review
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• v.17 no.2
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• pp.313-326
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• 2008

This paper is concerned with the effect of an increase in the import price of LNG on the Korean economy and industries. A computable general equilibrium analysis is applied to compute the comparative-statical effect of 10% rise of LNG price. The price increase places relatively heavy burden on the city gas, oil products and thermal power, decreasing their outputs and domestic sales by relatively larger percentages than other industries. The 10% increase in the LNG price reduces GDP by 0.4% and raises the general price level by 0.08%. The increase in oil price resulting in the same decreasing rate of GDP caused by the 10% LNG price rise turns out to raise the general price level and reduce the consumer's welfare in terms of equivalent variation by less percentage than the increase in LNG price.