• Culinary science and hospitality research
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• v.20 no.6
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• pp.275-291
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• 2014

The focus of this study was to investigate the relationships of blog's reliability, perceived benefit, perceived risk and words of mouth by online readers. Data were collected by a total of 228 persons reading actively gourmet blogs. The survey was carried out from August 1 to 15, 2014. Total 228 questionnaires were used for final analysis. Frequency analysis, descriptive statistics, exploratory factor analysis, and reliability analysis were conducted through SPSS 18.0 for final analysis, and regression analysis was conducted through AMOS 18.0 for verification of hypothesis. The hypothesized relationships among the models were tested simultaneously by using a structure equation model(SEM). The study results are like below. First, The reliability of the Gourmet blog could be confirmed again very important variable in the fields of food industry like the previous studies. Second, The reliability of the Gourmet blogs affected on the positive (+)relationship to the perceived benefits, and the negative (-)relationship to the perceived risk. Third, Reliability and perceived benefits in relation to the impact on the online word-of-mouth was positive(+). However, perceived risk was found not to affect on it. Finally, perceived benefits for the reliability of the blog have been identified as the key parameters on the online word-of-mouth. The theoretical contributions of this study and the practical implications are discussed and future research directions are detailed.

• The Journal of Society for e-Business Studies
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• v.25 no.1
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• pp.65-82
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• 2020

Start-ups often use crowdfunding platforms such as Wadiz to get financing from corporate investors and general public. These platforms include functions to increase participant activity through the number of comments, interest and online word-of-mouth. This study aims to elucidate how these functions related to a participant activity exhibit mediating effects on a success of crowdfunding and an achievement rate of targeted investment amount. To this end, the individual variables such as progress period, target amount, venture company, experience of attracting investment, possession of intellectual property rights, a career of the representative and an award experience of the representative were classified into the project characteristics, the company characteristics and the representative characteristics through not only previous studies but also interviews with investment professionals and platform operators. Afterwards, this study went through an empirical verification process using a structural equation model that has both crowdfunding performance and participant activity, which is the independent and mediating factors of three perspectives, as well as the dependent variables. In other words, this study analyzes how the characteristics of three perspectives affect the participant activity and how the participant activity had the mediating effects on the crowdfunding performance. In addition, it derives how the analysis results mentioned above vary according to business types (internet services, culture/art, manufacturing/distribution) and investment styles (stock type and bond type). It is expected that this study will help not only in deriving the factors affecting the performance of an investment type crowdfunding but also in preparing the measures to increase a participant activity.

• Culinary science and hospitality research
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• v.17 no.2
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• pp.51-73
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• 2011

Companies are required to invest in numerous intial marketing costs for establishing brand power, thus, many companies in the foodservice industry are increasing their budgets on communication to strengthen their own brand equity components such as brand recognition, brand royalty, perceived quality and associated image using mass media that has not been used before. For this study, 617 samples were analyzed by such analytic methods as a frequency analysis, cross-tabulation, a factor analysis and a reliability analysis for validity, and a confirmatory factory analysis, a model adequacy evaluation, and a path analysis using AMOS 17.0. The hypothesis verification by the AMOS analysis has revealed that all hypotheses positively influenced contract foodservice brands, and the brand recognition of a university contract foodservice company has an impact on sincerity and refinement. Therefore, positive brand image formation encourages strong brand establishment between a university contract foodservice business and customers, and this study strongly suggests continuous further studies about constructing a positive brand image.

• Spatial Information Research
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• v.22 no.5
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• pp.65-75
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• 2014

Bus headway plays an important role not only in determining the passenger waiting time and bus service quality, but also in influencing the bus operation cost and passenger demand. Previous research on headway control has considered only an hourly difference in the distribution of ridership between peak and non-peak hours. However, this approach is too simple to help manage ridership demand fluctuations in a short time scale; thus passengers' waiting cost will be generated when ridership demand exceeds the supply of bus services. Moreover, bus ridership demand varies by station location and traffic situation. To address this concern, we propose a headway control algorithm for minimizing the waiting time cost by using Smart Card data. We also provide proof of the convergence of the algorithm to the desired headway allocation using a set of preconditions of political waiting time guarantees and available fleet constraints. For model verification, the data from the No. 143 bus line in Seoul were used. The results show that the total savings in cost totaled approximately 600,000 won per day when we apply the time-value cost of waiting time. Thus, we can expect that cost savings will be more pronounced when the algorithm is applied to larger systems.

• Journal of Society of Preventive Korean Medicine
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• v.6 no.1
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• pp.51-95
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• 2002

1. As a point at issue of occidental medicine examination, followings have been indicated, 1) Occidental medical examination is performed by mainly test and instrument and therefore, role of doctors could be excluded and it could be diagnosed only for target disease and 2) in Korea, it could not be conducted in public medical system and therefore improvement effect of public health promotion could not be made due to increase of total medical expenses and infirmity of post management. These points are substantial limit of paradigm resided in occidental medicine and also problem caused by unique characteristics of medical system of Korea. In Korea, result of occidental medical examination show increased health risk from aged thirties and major diagnosed diseases are circulatory disease or chronic disease such as hepatic, hyperlipemic, hypertensional disease and diabetes, etc. Accounting that those chronic disease make a role as major public health risk, it is difficult that medical examination by only occidental medicine make effect on public health promotion. 2. Characteristics of oriental medicine examination could be summarized as diagnosis (information acquisition based on the facts) and demonstration (speculation based on acquired information) and in addition, quadruple diagnosis, as a medical examination method, include test as well as basic examination. Accounting on oriental medical examination, principally it is performed by independent herbalist and therefore, herbalist could acquire systemic result during first medical examination. Based on the theory of inner-outer examination, oriental medical examination has a principle of universe theory, systemic analysis of quadruple diagnosis, demonstration & reasoning. In addition, root of oriental medical examination could be found in pre-disease theory, a principal theory of oriental medicine. Pre-disease service could prove the advantage of oriental medicine in medical examination activities and therefore, it is needed that content of oriental medical examination should be actualized in current medical system. 3. In this study, oriental medical examination program, comprised of pulse-diagnosis, contrast muscular taking and medical consultation of herbalist is progressed communally with occidental medical examination. As pre-examination, questionary was given of general characteristics, health promoting life style, physical constitution and subjective symptom of musculoskeletal system. In addition, post-examination notification was given to subjects about health promoting control, physical constitution regimen and management of musculoskeletal system. During this study program, verification was conducted for input of acquired information and difference of each information after analysis and in addition, performed was analysis of factor influencing health promoting life style and musculoskeletal subjective symptom and evaluation of relationship of physical constitution and health promoting life study. In addition, it was verified of difference between musculoskeletal subjective symptom and result of muscle contrast picture evaluation. 4. Evaluation of oriental medical examination model is divided into 2 categories of oriental medical examination-consultation and result evaluation -post management. Oriental medical examination-consultation demands establishment of examination system, standardization of examination and establishment of examination form and in addition, it should be admitted as enlarged examination assists systemic quadruple diagnosis of herbalist not a key of oriental medical examination. In addition, information acquisition for research purpose should be performed according to the systemic research plan based on the separation of questionary for examination purpose and research purpose. For evaluation of the result, it was concluded that needed are result evaluation meets oriental medical system and post-notification system, informing health management information, based on examination result. 5. Accounting on satisfaction for oriental medical examination model, affirmative reply was much higher (66%) than negative (8.64%). Satisfaction of each area was in order of consultation of herbalist, systemic muscle contrast taking, pulse examination, post-notification and questionary fill-up and dissatisfaction was in order of post-notification, questionary fill-up, consultation of herbalist, systemic muscle contrast taking and pulse measurement. Satisfaction for collaborative examination of occidental and oriental medicine was over 60% and over 75% hope oriental examination would be included in later medical examination program. Based on this result, collaborative examination including occidental and oriental medicine could increase satisfaction of subjects for medical examination program.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.73-92
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• 2014

An Adaptive Clustering-based Collaborative Filtering Technique was proposed to solve the fundamental problems of collaborative filtering, such as cold-start problems, scalability problems and data sparsity problems. Previous collaborative filtering techniques were carried out according to the recommendations based on the predicted preference of the user to a particular item using a similar item subset and a similar user subset composed based on the preference of users to items. For this reason, if the density of the user preference matrix is low, the reliability of the recommendation system will decrease rapidly. Therefore, the difficulty of creating a similar item subset and similar user subset will be increased. In addition, as the scale of service increases, the time needed to create a similar item subset and similar user subset increases geometrically, and the response time of the recommendation system is then increased. To solve these problems, this paper suggests a collaborative filtering technique that adapts a condition actively to the model and adopts the concepts of a context-based filtering technique. This technique consists of four major methodologies. First, items are made, the users are clustered according their feature vectors, and an inter-cluster preference between each item cluster and user cluster is then assumed. According to this method, the run-time for creating a similar item subset or user subset can be economized, the reliability of a recommendation system can be made higher than that using only the user preference information for creating a similar item subset or similar user subset, and the cold start problem can be partially solved. Second, recommendations are made using the prior composed item and user clusters and inter-cluster preference between each item cluster and user cluster. In this phase, a list of items is made for users by examining the item clusters in the order of the size of the inter-cluster preference of the user cluster, in which the user belongs, and selecting and ranking the items according to the predicted or recorded user preference information. Using this method, the creation of a recommendation model phase bears the highest load of the recommendation system, and it minimizes the load of the recommendation system in run-time. Therefore, the scalability problem and large scale recommendation system can be performed with collaborative filtering, which is highly reliable. Third, the missing user preference information is predicted using the item and user clusters. Using this method, the problem caused by the low density of the user preference matrix can be mitigated. Existing studies on this used an item-based prediction or user-based prediction. In this paper, Hao Ji's idea, which uses both an item-based prediction and user-based prediction, was improved. The reliability of the recommendation service can be improved by combining the predictive values of both techniques by applying the condition of the recommendation model. By predicting the user preference based on the item or user clusters, the time required to predict the user preference can be reduced, and missing user preference in run-time can be predicted. Fourth, the item and user feature vector can be made to learn the following input of the user feedback. This phase applied normalized user feedback to the item and user feature vector. This method can mitigate the problems caused by the use of the concepts of context-based filtering, such as the item and user feature vector based on the user profile and item properties. The problems with using the item and user feature vector are due to the limitation of quantifying the qualitative features of the items and users. Therefore, the elements of the user and item feature vectors are made to match one to one, and if user feedback to a particular item is obtained, it will be applied to the feature vector using the opposite one. Verification of this method was accomplished by comparing the performance with existing hybrid filtering techniques. Two methods were used for verification: MAE(Mean Absolute Error) and response time. Using MAE, this technique was confirmed to improve the reliability of the recommendation system. Using the response time, this technique was found to be suitable for a large scaled recommendation system. This paper suggested an Adaptive Clustering-based Collaborative Filtering Technique with high reliability and low time complexity, but it had some limitations. This technique focused on reducing the time complexity. Hence, an improvement in reliability was not expected. The next topic will be to improve this technique by rule-based filtering.

• Korean Security Journal
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• no.42
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• pp.7-36
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• 2015

This study aims at analyzing difference of social Security network, Community unity and local government trust according to socio-demographical features, exploring the relation of social Security network, Community unity and local government trust according to socio-demographical features, presenting results between each variable as a model and verifying the property of mutual ones. This study sampled general citizens in Gwangju for about 15 days Aug. 15 through Aug. 30, 2014, distributed total 450 copies using cluster random sampling, gathered 438 persons, 412 persons of whom were used for analysis. This study verified the validity and credibility of the questionnaire through an experts' meeting, preliminary test, factor analysis and credibility analysis. The credibility of questionnaire was ${\alpha}=.809{\sim}{\alpha}=.890$. The inout data were analyzed by study purpose using SPSSWIN 18.0, as statistical techniques, factor analysis, credibility analysis, correlation analysis, independent sample t verification, ANOVA, multi-regression analysis, path analysis etc. were used. the findings obtained through the above study methods are as follows. First, building a social Security network has an effect on Community institution. That is, the more activated a, the higher awareness on institution. the more activated street CCTV facilities, anti-crime design, local government Security education, the higher the stability. Second, building a social Security network has an effect on trust of local government. That is, the activated local autonomous anti-crime activity, anti-crime design. local government's Security education, police public oder service, the more increased trust of policy, service management, busines performance. Third, Community unity has an effect on trust of local government. That is, the better Community institution is achieved, the higher trust of policy. Also the stabler Community institution, the higher trust of business performance. Fourth, building a social Security network has a direct or indirect effect on Community unity and local government trust. That is, social Security network has a direct effect on trust of local government, but it has a higher effect through Community unity of parameter. Such results showed that Community unity in Gwangju Region is an important factor, which means it is an important variable mediating building a social Security network and trust of local government. To win trust of local residents, we need to prepare for various cultural events and active communication space and build a social Security network for uniting them.

• Journal of Animal Science and Technology
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• v.55 no.1
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• pp.1-6
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• 2013

This study was aimed to solve the problems of current national genetic evaluation systems in Korea and its development to pass the verification processes as required by International Bull Evaluation Service (Interbull). This will enable Korea to participate in international genetic evaluation program. A total of 1,416,589 test-day milk records with calving dates used in this study were collected by National Agricultural Cooperative Federation from 2001 to 2009. Parity was limited up to fifth calving and milk production records were adjusted to cumulative 305 day lactation. The pedigree consisted of 2,279,741 animals where 2,467 bulls had 535,409 parents. A newly developed multiple trait model was used in calculation of breeding values for milk yield, milk fat, and protein yield. Data were edited with SAS (version 9.2) and R programs, and genetic parameters were estimated using VCE 6.0. Results showed a continuous increase in genetic potentials, in general, and no remarkable differences were found between performances by parity. Except fat yield, potentials in milk yield and protein yield were well calculated. We found an increased number of daughters per each top ranked 1,000 bulls in recent years of calf births compared to the cases of previous evaluations. Of the bulls ranked top 100 by our new models (multiple-trait models) we found that increased numbers of bulls were included. Of twenty eight bulls born in 2006, twenty bulls born in 2007 and eight bulls born in 2008 that were listed by new models, only 23, 12, and 2 bulls born in respective years were represented on top 100 by old single-trait models. Re-ranking of the daughters or sires by multiple-trait models suggest that this new multiple trait approach should be used for dairy cattle genetic evaluation and seed-stock selection in the future to increase the accuracy of multiple trait selection. Breeding values for these traits should also be calculated by new method for international genetic evaluation.