Journal of the Korean Society of Food Science and Nutrition
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v.31
no.5
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pp.945-951
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2002
To propose quality improvement for commercial sikhe, we assessed the opinion of Food and Nutrition specialists about the status of utilization, preference and quality of commercial sikhe. Questionaires were hand-delivered to 530 subjects consisted of University students and faculties of Department of Food and Nutrition at 8 cities (Seoul, Incheon and Gyeonggi, Daejon and Chungnam, Cheongju and Chungbuk, Daegu and Gyeongbuk, Jeonbuk, Gwangju and Jeonnam, Husan and Gyeongnam) in Korea and the complete data of 328 subjects were statistically analyzed using SPSS Program for Window (mean, $\chi$$^2$, t-test, Pearson's correlation coefficient). Questionaires were consisted of sociodemographics, frequency and occasion of purchasing, opinion of quality and improvement points and sen-sory characteristics. Occasion of purchasing commercial sikhe is in order of ordinary day> for present> special day. Most subjects answered that commercial sikhe was different from home-made one. The reasons not to per-chase were the most in no preference and the next, in seeming to be different taste from home-made one. Points for further improvement in commercial sikhe were in order of taste> amount and floating of rice >flavor. The correlation coefficients between over-all preference and sensory characteristics showed positively in taste (0.54), texture of rice (0.476), content of malt (0.398).
Proceedings of the Korean Institute Of Construction Engineering and Management
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autumn
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pp.115-122
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2002
There is various points that should be improved in Fairness such as our contract practice to propose construction projects, project managing and the stakeholders' way of thinking and culture. We consider that the revision of construction related provisions and systems is required but even more, an overall change in business management through the implementation of Integrated Construction Information Management System that will enable the owner, which drives the project, and contractor sharing construction information is required. To mange construction related information in an integrated manner, designing information should be smoothly transferred to purchasing information, and changes are required in order to move ahead to process-oriented work system. Finally information created from various construction organizations should be delivered in an aligned and standardized manner as well. The domestic Nuclear Power Plant Construction has been accepting various technology transfers from U.S, France, Canada and UK, which enabled us to self-support technology and recently even proceeded to the phase exporting our technology to others. However, continuous effort is required to improve internal business efficiency and to respond to external environmental change such aselectricity market deregulation. Recently, in accordance with the result in number of CEO's intention to make progress in IT and improve business efficiency, the number of enterprises introducing Enterprise Resource Planning is increasing. ERP is an innovative tool which changes the way of performing work from organization and department orientation to process-orientation in order to optimize the resources, such as human and material resources, through out the Enterprise by performing BPR which will maximize overall business efficiency of the enterprise, such includes not only construction management, but also business management. KHNP continued to performing large scaled construction projects such as nuclear power plant construction for past 30 years and took the initiatives of large scale project management and Quality management ability in domestic industry by having independent capability of over all construction planning, purchasing and, construction and start up management etc. To maintain our leading position of improving construction management technology based on our accumulated project management experience and technology, KHNP included construction into our ERP project in purpose of innovating construction business. We would like to discuss the characteristics of nuclear construction business, project management system, information system infrastructure and information sharing system among construction related entities, and implementation practices for information system, and consider how to resolve our practice that should be improved in this thesis.
Journal of the Korea Academia-Industrial cooperation Society
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v.14
no.12
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pp.6133-6145
/
2013
With the increasing number of online wine stores, customers are increasingly seeking to purchase wine online. On the other hand, purchasing wine online is prohibited by law or regulation in Korea. Therefore, customers mainly search for wine information, inquire about wine products, and make a pre-purchase at an online wine store. Online wine stores play important roles in customer's purchase decision-making, and are likely to be a useful wine distribution channel in the near future. Therefore, the aim of this study was to identify the determinants of the online wine purchase intention, and examine the structural relationships between the determinants and online wine purchase intention. The site quality of online wine stores (information quality, system quality, service quality), and perceived value (quality value, price value, emotional value, social value) were selected as the determinants of online wine purchase intention based on literature review. The data was collected from those who had experience using an online wine store to purchase wine, and the data was used to test the proposed research model. The findings showed that the information quality was not related to the perceived value (quality value, price value, emotional value, social value). The system quality was proven to be positively and significantly related to the quality value, price value, and emotional value, whereas it had no impact on the social value. In addition, the service quality was found to affect the perceived value (quality value, price value, emotional and social value). Finally, the results showed that the quality value, emotional value, and social value have a positive impact on the online wine purchase intention, whereas the price quality is not related to the online wine purchase intention. These results are expected to make a contribution to a better understanding of how the quality of online wine stores and the customer's perceived value affect the online wine purchasing intention.
These days, the concept of creating shared value is drawn keen attentions to. This interest comes out of the expectation that Creating Shared Value(CSV) can offer an answer to some social issues by creating societal and economic values on the top of the achievements that existing Corporate Social Responsibility(CSR) has made. However, it is difficult to make a clear distinction between the achievements that the activities of CSR and CSV have made. In this regard, developing a methodology to make an actual proof analysis on the accomplishments of CSV and to verify customer's awareness of and attitude towards the CSV is necessarily required. A company needs to gain a competitive advantage in the marketplace as well as resolve a social issue by innovating value chain. The research has verified the cause and effect relationship between the CSV from the point of view of value chain and the purchase intention aroused by its economic, societal and cultural values through the company image and credibility with actual proof analysis and come up with following results. First, a societal and cultural value resulted in giving positive impact on a company's image, which implies that CSV activities can be the thin end of the wedge through which customers have a good image of the company involved in CSV. Second, a societal value makes a positive influence on the credibility of a company. In this regard, CSV should be recognized not just as a thing that generates a cost, but a way to win-win as well as future development. Third and last, the research results show that both company image and credibility influence on purchase intention. Considering that CSV generates a positive evaluation on a company that will ultimately cause continuous profit-making, the company's ultimate goal of activities, it should be approached from the perspective of making a mid-and-long term strategy.
Journal of the Korean Society of Food Science and Nutrition
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v.43
no.10
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pp.1607-1613
/
2014
The purpose of this study was to investigate intake of protein supplements by university students majoring in physical education. Intake experience rate, reasons for intake, purchasing place, effectiveness, satisfaction level, and side effects were analyzed using a questionnaire. Of 476 students, those who consumed protein supplements were 198 (41.6%). Male's intake experience rate was significantly higher than that of females, and members of health-related clubs also consumed more protein than non-members. The main purchasing place was internet shopping malls, and users obtained information from their friends or upperclassmen. The most frequently consumed protein supplement was 'WPH', and the most frequent reason for intake was 'building muscle or maintaining body shape'. For effectiveness, 'normal' was 49.0% and 'effectiveness' was 33.3%. For satisfaction, 'satisfaction' was 45.5% and 'normal' was 43.4%. The rate of side effects was 44.9%, and digestive issues such as diarrhea and indigestion were observed with high frequency. The results of this study show that education is needed for nutritional knowledge, adequate intake, and side effects of protein supplements.
Journal of the Korean Society of Food Science and Nutrition
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v.44
no.12
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pp.1873-1880
/
2015
The purpose of this study was to survey intention to purchase home meal replacement (HMR) made with eco-friendly food ingredients as well as need for development while analyzing importance and performance of HMR made with eco-friendly ingredients for its commercialization. From September 2014 to March 2015, questionnaires were filled out by respondents. Of the 422 questionnaires that were returned, 412 were used with 10 discarded as incomplete. Regarding reasons behind purchasing HMR, the highest percentages of both males and females answered 'ready to eat'. Almost all respondents spent 'less than 10,000 won' each time they purchased HMR. Regarding place they bought HMR, a higher percentage of respondents answered 'convenience store' and 'discount retail chain store'. In terms of improvements needed for HMR, the highest percentage of males answered 'development of a variety of menus' while the highest percentage of females answered 'change in food ingredients' at 37.7%. For development of HMR made with eco-friendly ingredients, most respondents replied that there is a need for development. Regarding intention for purchasing HMR made with eco-friendly ingredients, 66.7% of males and 73.5% of females answered they have intention to buy. Important performance analysis showed a need to improve performance of 'safety of food ingredients', which was located close to the second quadrant. To improve performance for 'safety of food ingredients', safety must be ensured through use of eco-friendly ingredients, and a systematic process for managing hazardous materials that could arise during the manufacturing process has to be developed.
Response modeling is a well-known research issue for those who have tried to get more superior performance in the capability of predicting the customers' response for the marketing promotion. The response model for customers would reduce the marketing cost by identifying prospective customers from very large customer database and predicting the purchasing intention of the selected customers while the promotion which is derived from an undifferentiated marketing strategy results in unnecessary cost. In addition, the big data environment has accelerated developing the response model with data mining techniques such as CBR, neural networks and support vector machines. And CBR is one of the most major tools in business because it is known as simple and robust to apply to the response model. However, CBR is an attractive data mining technique for data mining applications in business even though it hasn't shown high performance compared to other machine learning techniques. Thus many studies have tried to improve CBR and utilized in business data mining with the enhanced algorithms or the support of other techniques such as genetic algorithm, decision tree and AHP (Analytic Process Hierarchy). Ahn and Kim(2008) utilized logit, neural networks, CBR to predict that which customers would purchase the items promoted by marketing department and tried to optimized the number of k for k-nearest neighbor with genetic algorithm for the purpose of improving the performance of the integrated model. Hong and Park(2009) noted that the integrated approach with CBR for logit, neural networks, and Support Vector Machine (SVM) showed more improved prediction ability for response of customers to marketing promotion than each data mining models such as logit, neural networks, and SVM. This paper presented an approach to predict customers' response of marketing promotion with Case Based Reasoning. The proposed model was developed by applying different weights to each feature. We deployed logit model with a database including the promotion and the purchasing data of bath soap. After that, the coefficients were used to give different weights of CBR. We analyzed the performance of proposed weighted CBR based model compared to neural networks and pure CBR based model empirically and found that the proposed weighted CBR based model showed more superior performance than pure CBR model. Imbalanced data is a common problem to build data mining model to classify a class with real data such as bankruptcy prediction, intrusion detection, fraud detection, churn management, and response modeling. Imbalanced data means that the number of instance in one class is remarkably small or large compared to the number of instance in other classes. The classification model such as response modeling has a lot of trouble to recognize the pattern from data through learning because the model tends to ignore a small number of classes while classifying a large number of classes correctly. To resolve the problem caused from imbalanced data distribution, sampling method is one of the most representative approach. The sampling method could be categorized to under sampling and over sampling. However, CBR is not sensitive to data distribution because it doesn't learn from data unlike machine learning algorithm. In this study, we investigated the robustness of our proposed model while changing the ratio of response customers and nonresponse customers to the promotion program because the response customers for the suggested promotion is always a small part of nonresponse customers in the real world. We simulated the proposed model 100 times to validate the robustness with different ratio of response customers to response customers under the imbalanced data distribution. Finally, we found that our proposed CBR based model showed superior performance than compared models under the imbalanced data sets. Our study is expected to improve the performance of response model for the promotion program with CBR under imbalanced data distribution in the real world.
Journal of the Korea Academia-Industrial cooperation Society
/
v.18
no.9
/
pp.267-280
/
2017
The purpose of this study is to provide cosmetic companies and research institutes with basic data regardingthe development of marketing by making out the influence and characteristics of consumption. A total of 506 questionnaires were used as analysis for the questionnaire survey of twenty female college students who purchased cosmetics within sixmonths in Seoul and the metropolitan area. Consumption propensity varied characteristics depending on the degree of makeup, average number of purchases, main reason for using cosmetics, and where to buy cosmetics. Motivation for purchasing cosmetics varied characteristics depending on the largest skin problem, the degree of usual makeup, the average number of times cosmetics were purchased, and the main reason forusing cosmetics. The results revealed thepropensities of saving resources, planned purchases, consciousness to others, and impulse buying have significant effects on the cosmetic purchase motives of product conversion, being others-oriented, economicsand pursuing beauty(P<0.05).Consequently, this study hopes to contribute to the development of cosmetics companies and research institutes by providingbasic data forfuture development of productsas well as formarketing strategiesusing customer psychology by referring to various perspectives ofconsumer direction and desired purchase behavior.
Since Korean housewives are responsible for the dietary practices of family at home, it is important to know what information will make them to buy safe food. This study was designed to determine the role of perceived threats, behavioral assessments, and self-efficacy factors known to promote healthy behavior in health belief models (HBM) based on food safety awareness and behavior of housewives. This study involved 191 housewives, based on key variables such as perceived severity, perceived susceptibility, perceived benefits, perceived barriers, self-efficacy, and purchase behavior. The results showed that higher levels of education and urbanization increased the threat perception and the likelihood of buying safe food. The correlation analysis showed that increased awareness and knowledge of safe foods and interest in health contributed to higher relative benefit or self-efficiency of food, and thus, ensured food safety. The conceptual model of food safety behavior based on the HBM was verified via structural equation analysis. The findings suggest that a suitable model showcasing knowledge levels and relative benefits resulted in a greater impact on purchasing behavior than perceived threats. This study suggests that it is more effective for housewives to provide more preventive information than risk information to purchase safe food.
As a part of integrated study for technical communication between consumer and manufacturer of functional clothing, functional clothing consumers were categorized based on their perception of the functional outdoor jacket and the differences in the source of information and use of hang-tag were examined according to the groups. Questionnaire survey was conducted on 472 males and females in their 20s to 60s, who have experience of purchasing functional outdoor jackets. Perception of functional outdoor jackets was classified into four factors ('functionality', 'price', 'experience/knowledge' and 'brand/design') and the respondents were categorized into three groups according to the factors: 'unconversant/brand & design pursuing group', 'conversant/function pursuing group' and 'high-priced products preferring group'. 'Unconversant/brand & design pursuing group' was composed of high rate of office workers and students in their 20s and 30s who use internet most frequently as source of information while 'conversant/function pursuing group' was composed of high rate of professionals in their 40s and 50s who make the most frequent use of information on hang-tag. 'High-priced products preferring group', which has high rate of the elderly in their 60s and housewives, obtain their information mainly from salespersons. 'Unconversant/brand & design pursuing group' was satisfied with functional information more than other two groups and 'conversant/function pursuing group' concerned for the hang-tag and required more explanation of terminology used in hang-tag. The results effectively explained the features of consumer groups and their different responses toward the information of functional outdoor jacket.
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