• Food Science and Preservation
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• v.18 no.1
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• pp.103-110
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• 2011

We investigated consumer perceptions of and purchase intentions for health foods. Data were collected from 454 adults over the age of 20 years living in Seoul and Gyeonggi province, from May 10 to June 5, 2010. Those that "hardly ever drink" (41.4%) were most prevalent in terms of drinking activity, whereas 80.8% of respondents did not smoke. Also, those who responded "hardly ever exercise" ranked highest; although 43.8% in fact exercised frequently. Of all respondents, 44.5% admitted to suffering slightly from stress. A total of 59.5% of respondents opined "I am healthy but I do worry about health", and "exercise" topped the list of approved (37.2% of respondents) health care methods. We also found that 83.5% of respondents claimed to have tried health foods, whereas in the case of having no taking experience, 60% had not purchased such foods because, in their view, this was unnecessary. The extent of concerns about health foods scored 3.09, and the level of purchase intentions for health food was high, with a score of 3.40. Therefore, all of government, producers, distributors, and academic researchers must provide consumers with accurate and complete information, and need to collaborate in the development of consumer education programs on health foods. This will enhance consumer interest in such foods, and empower logical choices.

• Journal of the Economic Geographical Society of Korea
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• v.9 no.3
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• pp.341-357
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• 2006

Recently new periodic markets formed in large apartment areas where consumers live. Before, in the case of peasant periodic markets travelling merchants, consumers and producers met in specific places on decided dates. Closing time of apartment's new periodic markets is later than that of peasant periodic markets, and the number of travelling merchants is fewer than that of peasant periodic markets. The average number of apartment and household for a new periodic market is about ten and 920 respectively, and if neighboring apartment household are included, the number is larger. Apartment's new periodic markets in Cheongju city is included in Daejeon market area. The types of regional trip of travelling merchants can be divided into one round trip of two or three neighboring dongs and larger sphere of more than 4 dongs. The larger sphere round trip consists of one type combining the southeastern, southern and southwestern regions, and the other type combining southeastern and southwestern regions. About 85 percent of travelling merchants visit the periodic market 5 days in a week; about 12 percent of travelling merchants choose to visit on Saturday; only 2 percent of travelling merchants visit 4 days in a week.

• International Commerce and Information Review
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• v.14 no.4
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• pp.109-130
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• 2012

In recent years, the volume of global fair trade has been increased rapidly. As the quality of life improves, consumers are increasingly concerned about fairness and environment and show positive attitudes toward ethical products. Fair trade is a social movement that aims to set fair prices for products, alleviate poverty, and assist producers marginalized by the traditional economic model. The study attempt to investigate empirically fair trade products purchase intention, so consumers attitude toward fair trade product purchase, normative belief, fairness restoration expectation, ethical responsibility are defined and their impacts on the purchase intention were analyzed. The statistical method used to test the hypotheses was multi-regression using SPSS 18 for window. The results of this study are follows. Purchase attitudes toward fair trade products and ethical responsibility had a significant effect on the purchase intention. The Effectiveness of the ethical responsibility had greater than that of the purchase attitudes. The result of the empirical study provides important implications for the fair trade related organizations and businesses.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.13 no.2
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• pp.106-111
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• 2008

Six standard methods for marine ecotoxicological tests were established(or applicated) using marine decomposer, primary producers and consumers. Development processes referred to the standard methods established by USEPA(United States Environmental Protection Agency), international organizations and European methods. However, the standard test species were selected among the domestic species generally found in the Korean waters and sediments. The test methods provide the culture/maintenance of test species, test methods, reproducibility and quality acceptance criteria etc. A total of nine test species were designated including bioluminescent bacteria(Vibrio fischeri), diatom(Skeletonema costatum), seaweed(Ulva pertusa), rotifer(Brachionus plicatilis), benthic copepod(Tigriopus japonicus), benthic amphipods(Mandibulophoxus mai, Monocorophium acherusicum), and fishes(Oryzias latipes, Paralichthys olivaceus). These test species represent the decomposer, primary producer and consumers in marine trophic system in Korean coastal ecosystems, and we recommend the "battery test" including at least one species from the each trophic level for marine ecotoxicological test.

• The Journal of the Korea Contents Association
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• v.9 no.11
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• pp.130-139
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• 2009

This paper introduces the secondary cultural productions of game fandom that have been underestimated. The participatory cultural activities of game users are broadly expanding owing to machinima technology based on game engine. It allows gamers to make the three dimensional digital animations simple and easy way. This paper studies that how simple game consumers change their role as producers through machinima. This study is focused on the relationship between polysemy of participatory Machinima and former fandom's the secondary culture studies using ethnographic research method. It is to clarify relationship between the game users' psychological motivation for culture practice and the machinimas. We verify practically the machinima's effects on fandom culture through analysing viewers' reaction using replies on the machinimas and then find out machinima is a very important tool for expanding the game culture realm as the main body.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.93-96
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• 2017

DDS (Data Distribution Serivce) communication middleware is spreading to various private sector as well as the defense sector because it can obtain a very high application effect in a complex system environment in which a plurality of data producers and data consumers are connected by a network. However, application development using DDS middleware is an inefficient structure with a lot of repetitive codes because most users perform 1: 1 mapping with the message they want to exchange. Accordingly, the user has to perform unnecessary repetitive tasks as the topic increases. Therefore, a development support tool that identifies a series of processes required for using DDS middleware and automatically generates the classes that are repeated by Topic is required. In this paper, we propose a method for DDS communication by automatically generating a common class for efficient use of DDS middleware.

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.630-643
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• 2020

Recently, consumers have changed their role to consumers and producers who make what they want. The way clothes are produced is also needed to change according to modern consumption methods. Knitting Machine was one of them, and although it was a mass-produced device, it developed a device that could make clothes anywhere on a small production craze. Knit-making requires more consideration than other clothing designs, which requires consideration of users' web usability. Therefore, this study proposes an assessment tool that can evaluate web usability of clothing-making sites using knitting machines. To this end, the examples of the Knitting Machine program and custom product production websites and the each UI were investigated and analyzed. Based on these prior surveys, the draft evaluation items were drawn, and three Delphi surveys were conducted on the basis of the draft to produce assessment tools after classifying, modifying and deleting items. Through this study, we look forward to improving the usability of the customized product-making website of Knitting Machine in the future and popularizing the Knitting Machine.

• Korean Journal of Environment and Ecology
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• v.25 no.5
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• pp.747-759
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• 2011

The purpose of this study was to compare the trophic structures and the energy flows in the Lake Namyang and the lower reaches of the Nakdong River using the Ecopath model. The sampling and analyses were carried out at 6 sampling sites of the Lake Namyang and the lower reaches of the Nakdong River respectively on March and November in 2007. As a result, the Lake Namyang was consisted of producers(Detritus, Macrophytes, Phytoplankton), primary consumers(Zooplankton, Zoobenthos, Carassius cuvieri, Carassius auratus, Other fishes) and secondary consumer(Cyprinus carpio, Pseudobagrus fulvidraco) and the lower reaches of the Nakdong River was consisted of producers(Detritus, Macrophytes, Phytoplankton), primary consumers (Zooplankton, Zoobenthos, Cyprinus carpio, Hemibarbus labeo, Other fishes) and secondary consumer (Micropterus salmoides). The food-chain length of the Lake Namyang was relatively short when compared with the lower reaches of the Nakdong River. The shortness of food-chain length in the Lake Namyang could be attributed to the low biomass of the top predators. The total system throughput of the lake Namyang was estimated at 14.3 kg $m^{-2}\;year^{-1}$ including a consumption of 39.0%, exports of 21.0%, respiratory flows of 12.0% and flows into detritus of 28.0% and the total system throughput of the lower reaches of the Nakdong River was estimated at 2.8 kg $m^{-2}\;year^{-1}$ including a consumption of 52.0%, exports of 9.1%, respiratory flows of 18.0% and flows into detritus of 20.9% in the lower reaches of the Nakdong River.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.5
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• pp.2121-2130
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• 2013

Based on the case study methods, the study analyzes that the countless UCC Cloud cloud is the niche creation by the lead users make process. This research show as follows. First, The Drama lovers and fan fiction writers are not only drama consumers but UCC creators/producers. By the process that the UCC and fan fiction is tailored to meet the needs of their users create fan fiction in fandom community, they create an entirely different niche from original drama. Second, the flow(drama consumption/evaluation, viewers needs/adaption, the user's creation/production) which community's creative users make sequentially coevolutes with the flow(drama information offer, intentionally supply/diffusion, derivatives production) of media companies. Third, the drama fandom community activities which is non-commercial activities form the drama ecosystem with a new paradigm, as well as form a virtuous cycle inked to the market continuously beyond fun, play, empathy.

• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.57-78
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• 2020

With the development of the Internet, consumers have had an opportunity to check product information easily through E-Commerce. Product reviews used in the process of purchasing goods are based on user experience, allowing consumers to engage as producers of information as well as refer to information. This can be a way to increase the efficiency of purchasing decisions from the perspective of consumers, and from the seller's point of view, it can help develop products and strengthen their competitiveness. However, it takes a lot of time and effort to understand the overall assessment and assessment dimensions of the products that I think are important in reading the vast amount of product reviews offered by E-Commerce for the products consumers want to compare. This is because product reviews are unstructured information and it is difficult to read sentiment of reviews and assessment dimension immediately. For example, consumers who want to purchase a laptop would like to check the assessment of comparative products at each dimension, such as performance, weight, delivery, speed, and design. Therefore, in this paper, we would like to propose a method to automatically generate multi-dimensional product assessment scores in product reviews that we would like to compare. The methods presented in this study consist largely of two phases. One is the pre-preparation phase and the second is the individual product scoring phase. In the pre-preparation phase, a dimensioned classification model and a sentiment analysis model are created based on a review of the large category product group review. By combining word embedding and association analysis, the dimensioned classification model complements the limitation that word embedding methods for finding relevance between dimensions and words in existing studies see only the distance of words in sentences. Sentiment analysis models generate CNN models by organizing learning data tagged with positives and negatives on a phrase unit for accurate polarity detection. Through this, the individual product scoring phase applies the models pre-prepared for the phrase unit review. Multi-dimensional assessment scores can be obtained by aggregating them by assessment dimension according to the proportion of reviews organized like this, which are grouped among those that are judged to describe a specific dimension for each phrase. In the experiment of this paper, approximately 260,000 reviews of the large category product group are collected to form a dimensioned classification model and a sentiment analysis model. In addition, reviews of the laptops of S and L companies selling at E-Commerce are collected and used as experimental data, respectively. The dimensioned classification model classified individual product reviews broken down into phrases into six assessment dimensions and combined the existing word embedding method with an association analysis indicating frequency between words and dimensions. As a result of combining word embedding and association analysis, the accuracy of the model increased by 13.7%. The sentiment analysis models could be seen to closely analyze the assessment when they were taught in a phrase unit rather than in sentences. As a result, it was confirmed that the accuracy was 29.4% higher than the sentence-based model. Through this study, both sellers and consumers can expect efficient decision making in purchasing and product development, given that they can make multi-dimensional comparisons of products. In addition, text reviews, which are unstructured data, were transformed into objective values such as frequency and morpheme, and they were analysed together using word embedding and association analysis to improve the objectivity aspects of more precise multi-dimensional analysis and research. This will be an attractive analysis model in terms of not only enabling more effective service deployment during the evolving E-Commerce market and fierce competition, but also satisfying both customers.