• Journal of dental hygiene science
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• v.9 no.4
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• pp.443-451
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• 2009

The purpose of this study was to examine the views of dental hygiene students about the possible countermeasure of domestic hospitals for the opening of the medical market. The subjects in this study were 269 dental hygiene sophomores, juniors and seniors at two different colleges in the region of Busan. The findings of the study were as follows: The opening of the medical market and views of possible countermove, whether they agreed to that or not made a statistically significant difference to their opinions on the necessity of customer-oriented marketing strategy(p=0.023), analysis of foreign medical markets/attempt to make inroads into the markets(p<0.000) and the improvement of the quality of medical services/the diversification of the services(p=0.025). As to an intention of going to a foreign hospital, they had a statistically significantly different intention about whether to go to a foreign hospital regardless of medical bills(p<0.000), whether to consult a doctor in a foreign hospital after going to a domestic hospital first (p<0.000), whether to consider the distance between their houses and a foreign hospital(p=0.05) and whether to take considerations on the assistance of an interpreter(p=0.023). In regard to preference for foreign hospitals, American hospitals ranked first(41.9), followed by Australian hospitals(19.9) and Canadian ones(14.2).

• Journal of The Korean Society of Grassland and Forage Science
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• v.32 no.1
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• pp.1-8
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• 2012

This study was carried out in 2010 to investigate the utilization and forage quality of native grasses, such as $Phragmites$ $communis$ which might reduce the cost of feeding domestic cattle. The regions surveyed were the Haenam ranch in Haenam, Pyeongchang, Wonju, and Yeonggwang. In Haenam, yearly silage production harvested from 300 ha was 2,000 MT (7 MT/ha). All of those round bale silages were self-consumed in that region, and marketing price was 50,000~55,000 won per roll (110 won/kg). $Phragmites$ $communis$ of 150 cm in length contained 8.4% crude protein (CP) with relative feed value (RFV) 71.9 and 60.1% in vitro dry matter digestibility (IVDMD), which was somewhat more favorable than forage quality of rice straw. The silage quality of $Phragmites$ $communis$ varied greatly by the time of harvest (CP 4.7~6.4%, RFV 62.2~78.9, and IVDMD 41.9~53.9%), even with the same district and of the same original forage materials. Generally, the quality of $Phragmites$ $communis$ silage of was poorer than that of sorghum ${\times}$ sudangrass hybrid. In Pyeongchang, forage quality of $Phragmites$ $communis$ was decreased from 13.9% to 7.6% in CP, 90.7 to 76.1 in RFV, and 72.9% to 54.7% in IVDMD, as plant was getting mature, from 79 cm to 117 cm, 121 cm or to 142 cm in length. In Wonju, the quality values of $Phragmites$ $communis$ of 130 cm in length were 8.5% CP, 82.3 RFV and 70.2% IVDMD, while those of matured grasses of 220 cm in length were lower (10.2% CP, 65.1 RFV and 48.9% IVDMD), but this was a little more favorable than quality of rice straw. In Yeonggwang, feeding $Phragmites$ $communis$ was tried in a Hanwoo feed, but stopped due to low profitability. In conclusion, the overall quality of most native grasses including $Phragmites$ $communis$ in this survey was poor. Therefore, we recommend that $Phragmites$ $communis$ and native grasses should be harvested on June or July to obtain richer forage quality in forage values than rice straw.

• Journal of Intelligence and Information Systems
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• v.23 no.4
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• pp.77-110
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• 2017

Recently, the diversification and individualization of consumption patterns through the web and mobile devices based on the Internet have been rapid. As this happens, the efficient operation of the offline store, which is a traditional distribution channel, has become more important. In order to raise both the sales and profits of stores, stores need to supply and sell the most attractive products to consumers in a timely manner. However, there is a lack of research on which SKUs, out of many products, can increase sales probability and reduce inventory costs. In particular, if a company sells products through multiple in-store stores across multiple locations, it would be helpful to increase sales and profitability of stores if SKUs appealing to customers are recommended. In this study, the recommender system (recommender system such as collaborative filtering and hybrid filtering), which has been used for personalization recommendation, is suggested by SKU recommendation method of a store unit of a distribution company that handles a homogeneous brand through a plurality of sales stores by country and region. We calculated the similarity of each store by using the purchase data of each store's handling items, filtering the collaboration according to the sales history of each store by each SKU, and finally recommending the individual SKU to the store. In addition, the store is classified into four clusters through PCA (Principal Component Analysis) and cluster analysis (Clustering) using the store profile data. The recommendation system is implemented by the hybrid filtering method that applies the collaborative filtering in each cluster and measured the performance of both methods based on actual sales data. Most of the existing recommendation systems have been studied by recommending items such as movies and music to the users. In practice, industrial applications have also become popular. In the meantime, there has been little research on recommending SKUs for each store by applying these recommendation systems, which have been mainly dealt with in the field of personalization services, to the store units of distributors handling similar brands. If the recommendation method of the existing recommendation methodology was 'the individual field', this study expanded the scope of the store beyond the individual domain through a plurality of sales stores by country and region and dealt with the store unit of the distribution company handling the same brand SKU while suggesting a recommendation method. In addition, if the existing recommendation system is limited to online, it is recommended to apply the data mining technique to develop an algorithm suitable for expanding to the store area rather than expanding the utilization range offline and analyzing based on the existing individual. The significance of the results of this study is that the personalization recommendation algorithm is applied to a plurality of sales outlets handling the same brand. A meaningful result is derived and a concrete methodology that can be constructed and used as a system for actual companies is proposed. It is also meaningful that this is the first attempt to expand the research area of the academic field related to the existing recommendation system, which was focused on the personalization domain, to a sales store of a company handling the same brand. From 05 to 03 in 2014, the number of stores' sales volume of the top 100 SKUs are limited to 52 SKUs by collaborative filtering and the hybrid filtering method SKU recommended. We compared the performance of the two recommendation methods by totaling the sales results. The reason for comparing the two recommendation methods is that the recommendation method of this study is defined as the reference model in which offline collaborative filtering is applied to demonstrate higher performance than the existing recommendation method. The results of this model are compared with the Hybrid filtering method, which is a model that reflects the characteristics of the offline store view. The proposed method showed a higher performance than the existing recommendation method. The proposed method was proved by using actual sales data of large Korean apparel companies. In this study, we propose a method to extend the recommendation system of the individual level to the group level and to efficiently approach it. In addition to the theoretical framework, which is of great value.