• Culinary science and hospitality research
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• v.16 no.3
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• pp.286-297
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• 2010

This study examines physiochemical characteristics of functional bread with black garlic flour added such as its content, texture, sensory test and quality properties. The loaf volume and weight of black garlic flour-added pan bread showed that for the control, the loaf volume was the greatest, and the more the black garlic flour content increased, the smaller the loaf volume became. The change of crust chromaticity showed that the L value decreased significantly, and crust chromaticity thickened, and as the black garlic flour content increased, a value and b value decreased. The characteristics of texture showed that the hardness and chewiness decreased as the black garlic flour content increased, and gumminess increased significantly while there was no significant difference in cohesiveness. The flavor, taste and texture of pan bread with black garlic flour content didn't showed a significant difference with the control. Consequently, the black garlic flour-added wheat flour was no significant difference with the control up to 3% black garlic flour-added wheat flour, which can be used as a product.

• The Journal of Korean Academic Society of Nursing Education
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• v.6 no.2
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• pp.233-246
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• 2000

The purpose of this study was to investigate the real condition of hospital marketing and concrete strategy on medical consumers need for enhance the effectiveness of hospital management. The data were collected from January 27 to February 3, 2000 at a general hospital located in M city to 205 in-patients and out-patients by questionnaires. The research tool was based on literatures. The data was analysed by the use of percentage, mean, t-test and ANOVA by SAS(Statistical Analysis System) Package Program. The results of this study are summerized as follows: 1. Mean score of the marketing mix (4P 's) was 3.1 in total and each mean score was 3.6 in product, 2.5 in prices, 3.3 in place and 3.1 in promotion. The following are the items which received the highest scores in each: 'The hospital is clean' in service category; 'the prices of meals at the restaurant the patients' families use are reasonable ' in price sphere. In distribution, 'it is easy to locate the hospital' and in promotion,'we'll use this hospital again' and 'we'll recommend this hospital to others'. 2. Marketing mix factors(4P's) was significantly different on the general characteristics in terms of marriage status, occupations and the period of hospitalization. 3. The most important reason for choosing this hospital was 'This is a general hospital with good facilities' and the next were 'The hospital staffs are kind and the hospital is clean' and 'The traffic is convenient to come'. The most important factors contributing to a good image formation of the hospital were 'this is a clean hospital', 'This is a hospital with kind people' and 'this hospital is equipped with good medical facilities'. 4. The factors for making a good image concerning the nursing service were professional knowledge, good nursing skills and kindness. After grasping the marketing conditions of the hospital aided by the above-mentioned research results, the researchers concludes that it is necessary to develop an institutionalized service strategy to increase the satisfaction the patients feel about the hospital facilities and kindness of the staff and as a result, to differentiate it from other medical institutions.

• Information Systems Review
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• v.17 no.1
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• pp.49-64
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• 2015

Customer reviews which include subjective opinions for the product or service in online store have been generated rapidly and their influence on customers has become immense due to the widespread usage of SNS. In addition, a number of studies have focused on opinion mining to analyze the positive and negative opinions and get a better solution for customer support and sales. It is very important to select the key terms which reflected the customers' sentiment on the reviews for opinion mining. We proposed a document-level terms-based sentiment classification model by select in the optimal terms with part of speech tag. SVMs (Support vector machines) are utilized to build a predictor for opinion mining and we used the combination of POS tag and four terms extraction methods for the feature selection of SVM. To validate the proposed opinion mining model, we applied it to the customer reviews on Amazon. We eliminated the unmeaning terms known as the stopwords and extracted the useful terms by using part of speech tagging approach after crawling 80,000 reviews. The extracted terms gained from document frequency, TF-IDF, information gain, chi-squared statistic were ranked and 20 ranked terms were used to the feature of SVM model. Our experimental results show that the performance of SVM model with four POS tags is superior to the benchmarked model, which are built by extracting only adjective terms. In addition, the SVM model based on Chi-squared statistic for opinion mining shows the most superior performance among SVM models with 4 different kinds of terms extraction method. Our proposed opinion mining model is expected to improve customer service and gain competitive advantage in online store.

• Information Systems Review
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• v.16 no.3
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• pp.113-134
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• 2014

Since a movie is an experience goods, purchase can be decided upon preliminary information and evaluation. There are ongoing researches on what impact online reviews might have on movie revenues. Whereas research in the past was focused on the effect of online reviews. The influence of online reviews appears to be significant in products like a movie because it is difficult to evaluate the feature prior to "consuming" the product. Since an online review is regarded to be objective, consumers find it more trustworthy. Contrary to prior research focused on movie review ratings and volume, we focus moves on movie features related specific reviews. This research proposes a predictive model for movie revenue generation. We decided 15 criteria to classify movie features collected from online reviews through the online review mining and made up feature keyword list each criterion. In addition, we performed data preprocessing and dimensional reduction for data mining through factor analysis. We suggest the movie revenue predictive model is tested using discriminant analysis. Following the discriminant analysis, we found that online review factors can be used to predict movie popularity and revenue stream. We also expect using this predictive model, marketers and strategic decision makers can allocate their resources in more parsimonious fashion.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.7
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• pp.3465-3468
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• 2016

Background: Fluorodeoxyglucose ($^{18}FDG$) PET/CT imaging has become an important component of the management paradigm in oncology. However, the significant imparted radiation exposure is a matter of growing concern especially in younger populations who have better odds of survival. The aim of this study was to estimate the effective dose received by patients having whole body $^{18}F$-FDG PET/CT scanning as per recent dose reducing guidelines at a tertiary care hospital. Materials and Methods: This prospective study covered 63 patients with different cancers who were referred for PET/CT study for various indications. Patients were prepared as per departmental protocol and 18FDG was injected at 3 MBq/Kg and a low dose, non-enhanced CT protocol (LD-NECT) was used. Diagnostic CT studies of specific regions were subsequently performed if required. Effective dose imparted by 18FDG (internal exposure) was calculated by using multiplying injected dose in MBq with coefficient $1.9{\times}10^{-2}mSv/MBq$ according to ICRP publication 106. Effective dose imparted by CT was calculated by multiplying DLP (mGy.cm) with ICRP conversion coefficient "k" 0.015 [mSv / (mG. cm)]. Results: Mean age of patients was $49{\pm}18$ years with a male to female ratio of 35:28 (56%:44%). Median dose of 18FDG given was 194 MBq (range: 139-293). Median CTDIvol was 3.25 (2.4-6.2) and median DLP was 334.95 (246.70 - 576.70). Estimated median effective dose imparted by $^{18}FDG$ was 3.69 mSv (range: 2.85-5.57). Similarly the estimated median effective dose by low dose (non-diagnostic) CT examination was 4.93 mSv (range: 2.14 -10.49). Median total effective dose by whole body 18FDG PET plus low dose non-diagnostic CT study was 8.85 mSv (range: 5.56-13.00). Conclusions: We conclude that the median effective dose from a whole body 18FDG PET/CT in our patients was significantly low. We suggest adhering to recently published dose reducing strategies, use of ToF scanner with CT dose reducing option to achieve the lower if not the lowest effective dose. This would certainly reduce the risk of second primary malignancy in younger patients with higher odds of cure from first primary cancer.

• Journal of Korean Society for Geospatial Information Science
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• v.20 no.1
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• pp.33-41
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• 2012

BIS is an arrival guidance system which is able to supply passengers with bus service condition via Kiosks at a bus stop, internet and mobile service through pinpointing bus location in real time. It is very significant to improve the quality of traffic information by quality control of GIS-based bus network so as to maintain navigational information and to implement reliable BIS. Therefore this study aims to build criteria to quantitatively evaluate data quality of the product in accordance with the process in bus network data and to suggest guideline of quality control. To achieve this, we have categorized geometric and logical errors occurring during constructing bus network database by giving a specific case study on TAGO and set up sectional guideline and procedures to examine database for systematic and coherent quality control management. Proceeding from what has been said above, the outcome of our research leads to quality guarantee for objective and reliable bus network database and is fully expected to bring benefit of providing a more accurate public transportation information and improving reliability of BIS through preventing a variety of errors in system operation in advance.

• Journal of the Korea Organic Resources Recycling Association
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• v.27 no.4
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• pp.71-81
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• 2019

This research was conducted to improve availability of agricultural by-products, national natural resources that could be used as fertilizer source, by estimating the amount of production and collecting main contents of fertilizer substances from previous studies and data, in order to be used as basic data to investigate national resources that could be used as alternatives for imported oil-cakes in the future. Conversion factor was used to estimate annual production of agricultural by-products for main 34 crop types in 2018. For total agricultural by-products, rice straws accounted at 50.3% for the highest proportion, followed by 8.7% of rice husks, showing that by-products from rice harvest accounted at 59.0% for all by-products. Further, there were listed the contents of fertilizer substances (nitrogen, phosphoric acid, potash) in 40 types of by-products from agricultural areas. The average contents of nitrogen, phosphoric acid, and potash in agricultural by-products were 1.43%, 0.59%, and 1.90%, respectively. As a result of estimating the annual nitrogen supply amount from 26 agricultural by-products in 2018, it was found that it could supply 44,911 tons of nitrogen. The investigated by-products contained fertilizer substances such as nitrogen, phosphoric acid, and potash, but the contents were lower compared to castor oil-cake used as main component of organic fertilizer. Therefore, resource management plan needs to be established for efficient use of by-products because time, location, and nutrient content of agricultural by-product production were extremely different. Research on fertilizer and manure using agricultural by-products need to be conducted to develop and distribute alternatives for imported oil-cakes.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.5
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• pp.45-62
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• 2015

Entrepreneurial Orientation (EO hereafter) can be described as firm level entrepreneurial tendencies. Initially Miller(1983) clarifies the construct of EO, and defines an "entrepreneurial firm as one that engages in product marketing innovation, undertakes somewhat risky ventures, and is first to come up with proactive innovations, beating competitors to the punch". After Miller (1983), Covin & Slevin(1989) adopted EO as a uni-dimensional construct, and insisted that these three dimensions can be combined into a single scale. Since Covin & Slevin(1991), researchers including Lumpkin & Dess(1996) have explored the usefulness of EO. However not many attempts have been tried to summarize the results of previous empirical researches, and to suggest future research directions. To examine and find implications, current study classified the effects of EO as 1) main and mediating effects, 2) moderating effect, 3) other effects, and provide theoretical and empirical validation of EO, which suggested by Miller(2011). After analyzing research results published in major international and Korean journals in each research domain, current paper summarizes and evaluates previous research results, and then suggests research directions for the future. In doing so, we hope to provide some theoretical and practical insight for management of small and medium sized firms.

• Journal of Cadastre & Land InformatiX
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• v.47 no.2
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• pp.185-199
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• 2017

This study is on a recombination method for the construction of spatial information products which demands are unpredictably various. The present production method of digital maps is not flexible enough for their reusability because it is not object-oriented but top-down. Each spatial object needs to have particular attributes to be recombined. The demand changes the production method through the reclassification of data and changing the properties. In a user perspective, the bottom-up method can produce on-demand spatial information products including existing digital maps. The method is derived from case studies and theoretical reviews and compared with the existing production method. In the method spatial information products are reclassified by their geometry objects such as point, line, and polygon, with basic attributes, and other related domain attributes. The geometry objects and domain attributes are connected by adding new attributes for their later relationship and management, which make the recombination possible. To prove its usability of the method it is tested for current and future user demands including the national base map, thematic maps and the future spatial information products.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.6
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• pp.2639-2644
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• 2013

The renewal cycle, which newly decorates stores, has been shortened, as the marketing competition between telecommunication companies has been extended to the stores, due to the rapid increase of mobile phone users and fast replacement cycle of products. The store renewal made by major telecommunication companies, including signboard, has been pushed in order for telecommunication companies to give strong impression about their own brand identity to consumers. Consumers want stores not only to sell cheap and high quality products but also to provide customer experience, by which customers can feel store, product and service and accept them. Especially, since the competition between telecommunication companies is getting tough, it is the current trend that the number of stores is increasing much, and telecommunication companies are recently renewing their stores, with the concept of SI(Store Identity), which changes store image into the incorporated image including interior and exterior, rather than just replacing CI(Corporate Identity), when they renew stores. It can be said that SI(Store Identity) is an important factor, by which companies consistently design visual factors such as interior and sign, and then apply them to the interior and exterior of the stores, and thereby give good store image to consumers, and ultimately have great effect on the increase of sales volume. This kind of activity can be image-controlled by companies' Identity Management, and it can be a very important factor in terms of marketing. In this study, it has an objective to compare and analyze SI of domestic telecommunication companies and foreign telecommunication companies, and then suggest effective SI direction.