• Health Policy and Management
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• v.10 no.3
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• pp.19-49
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• 2000

This study was conducted to help staff members of health centers manage personnel by examining the staff members' recognition level of organization structure of health centers, their motivation, their job satisfaction level and its related factors. Data were collected from 471 staff members of 14 health centers from March 3, 1999 to April 30, 1999. The results of this study are summarized as follows. In recognition levels of organization structure of health centers, the recognition level of necessity of discretion right was highest(3.55 points on the base of 5 points), while the recognition level of the location of decision making right was lowest(2.77 points). The general recognition of organization structure of health centers was 3.06 points, the suitability of division of duties was 3.05 points, and the optimum of manpower and budget was 2.93 points. The staff members' general recognition level of the organization structure appeared significantly higher in case of the groups of small and medium sized cities, above fifties, below high school graduate, above the sixth grade, public service experience of above 20 years, service period of below 2 years at present post, and average monthly salary of one million, eight hundred and ten thousand won. In the recognition level of the location of decision making right, the groups of big cities, male, the married, above the sixth grade, health and administration posts, average monthly salary of one million, three hundred and ten thousand won to one million, and eight hundred thousand won were significantly higher than the other groups. The recognition level of necessity of discretion right was higher in case of the groups of the twenties, the unmarried, above college graduate, nursing post, public service experience of below 5 years, service period of below 2 years at present post, and average monthly salary of below eight hundred thousand won. In the recognition level of suitability of division of duties, the groups of small and medium sized cities, the married, medical technicians, public service experience of above 20 years, and service period of below 4 years at present post were significantly higher than the other groups. In the staff members' recognition levels of organization management, the recognition level of opinion response when making decision was highest(2.92 points). The recognition level of rationality of the target amount establishment method was 2.88 points and the recognition level of personnel management was 2.63 points. The recognition level of personnel management was significantly higher in case of the groups of small and medium sized cities, the forties, above the sixth grade, medical technicians, public service experience of above 20 years, service period of below 2 years at present post, and average monthly salary of above one million, eight hundred and ten thousand won. In the recognition level of opinion response when making decision, the groups of small and medium sized cities, female, the eighth grade, health and administration posts, and service period of below 2 years at present post were higher than the other groups. The recognition level of rationality of the target amount establishment method was significantly higher in case of the groups of above fifties, below high school graduate, above the sixth grade, medical service post, and public service experience of 15 to 20 years. The factors significantly influencing sanitation were sex, education level, the period of public service experience, general recognition of organization structure, recognition of necessity of discretion right, recognition of suitability of division of duties, and recognition of opinion response when making decision. The factors which significantly influenced motivation were marital status, grade, recognition of the location of decision making right, recognition of necessity of discretion right, recognition of division of duties, recognition of opinion response when making decision, and sanitation. Sex, education level, recognition of suitability of division of duties, recognition of the target amount establishment method, and motivation influenced job satisfaction significantly. The factors significantly influencing organization culture were age, the period of public service experience, service period at present post, recognition of optimum of manpower and budget, recognition of suitability of division of duties, recognition of opinion response when making decision, and recognition of rationality of the target amount establishment method. In the coming days, the staff members' job satisfaction level must be increased through motivation and efficient conduct of duty must be accomplished through rational organization structure and management. Moreover, change of the staff members' consciousness and administrative system which are suitable for local autonomy system have to be established with increase of local residents' consciousness level and education level. Forming organization culture by reformative idea which fits the new era, public health service by the Community Health Act and health education service by the Health Promotion Act must be carried out efficiently. In doing so, financial support of central government and active efforts and concerns of local governments have to be devoted in order to get public health service in which peculiarity of the community is considered to be pursued well.

• Journal of Intelligence and Information Systems
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• v.26 no.1
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• pp.1-21
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• 2020

With the rapid development of artificial intelligence technology, various techniques have been developed to extract meaningful information from unstructured text data which constitutes a large portion of big data. Over the past decades, text mining technologies have been utilized in various industries for practical applications. In the field of business intelligence, it has been employed to discover new market and/or technology opportunities and support rational decision making of business participants. The market information such as market size, market growth rate, and market share is essential for setting companies' business strategies. There has been a continuous demand in various fields for specific product level-market information. However, the information has been generally provided at industry level or broad categories based on classification standards, making it difficult to obtain specific and proper information. In this regard, we propose a new methodology that can estimate the market sizes of product groups at more detailed levels than that of previously offered. We applied Word2Vec algorithm, a neural network based semantic word embedding model, to enable automatic market size estimation from individual companies' product information in a bottom-up manner. The overall process is as follows: First, the data related to product information is collected, refined, and restructured into suitable form for applying Word2Vec model. Next, the preprocessed data is embedded into vector space by Word2Vec and then the product groups are derived by extracting similar products names based on cosine similarity calculation. Finally, the sales data on the extracted products is summated to estimate the market size of the product groups. As an experimental data, text data of product names from Statistics Korea's microdata (345,103 cases) were mapped in multidimensional vector space by Word2Vec training. We performed parameters optimization for training and then applied vector dimension of 300 and window size of 15 as optimized parameters for further experiments. We employed index words of Korean Standard Industry Classification (KSIC) as a product name dataset to more efficiently cluster product groups. The product names which are similar to KSIC indexes were extracted based on cosine similarity. The market size of extracted products as one product category was calculated from individual companies' sales data. The market sizes of 11,654 specific product lines were automatically estimated by the proposed model. For the performance verification, the results were compared with actual market size of some items. The Pearson's correlation coefficient was 0.513. Our approach has several advantages differing from the previous studies. First, text mining and machine learning techniques were applied for the first time on market size estimation, overcoming the limitations of traditional sampling based- or multiple assumption required-methods. In addition, the level of market category can be easily and efficiently adjusted according to the purpose of information use by changing cosine similarity threshold. Furthermore, it has a high potential of practical applications since it can resolve unmet needs for detailed market size information in public and private sectors. Specifically, it can be utilized in technology evaluation and technology commercialization support program conducted by governmental institutions, as well as business strategies consulting and market analysis report publishing by private firms. The limitation of our study is that the presented model needs to be improved in terms of accuracy and reliability. The semantic-based word embedding module can be advanced by giving a proper order in the preprocessed dataset or by combining another algorithm such as Jaccard similarity with Word2Vec. Also, the methods of product group clustering can be changed to other types of unsupervised machine learning algorithm. Our group is currently working on subsequent studies and we expect that it can further improve the performance of the conceptually proposed basic model in this study.

• THE JOURNAL OF KOREAN ORIENTAL ONCOLOGY
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• v.4 no.1
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• pp.37-53
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• 1998

The sprig of Jinryungtang Gagambang has been used for curing as a traditional medicine without any experimental evidence to support the rational basis for their clinical use. This experiment was carried out to evaluate the possible therapeutic or antitumoral effects of Jinryungtang Gagambang extract against cancer, and to study some mechanisms responsible for its effect. The cytotoxic and antitumor effects were evaluated on human cell liens (A549, hep3B, Caki-1, Sarcoma 180) after exposure to Jinryungtang Gagambang extract using in ILS, colony forming efficency and SRB assay which were regarded as a valuable method for cytotoxic and antitumor effects of unknown compound on tumor cell lines. The results obtained in this studies were as follows. 1. As a result of exposure to Jinryungtang Gagambang extract, the proliferation of A549, hep3B, Caki-1, good correlations were shown from the results of SRB assay and those of clogenetic assay. 2. The oral administration of Jinryungtang Gagambang extract showed significant effects of increase of MST(mean survival time) and ILS(increased life span) depending on the increasing concentration. 3. Against squamous cell carcinoma induced by MCA, Jinryungtang Gagambang decreased not only the frequency of tumor production but also the number and weight of tumors per tumor bearing mice(TBM). Jinryungtang Gagambang also significantly suppressed the development of 3LL cell-implanted tumors by frequency and their size, and some developed tumors were regressed by the continuous treatment of Jinryungtang Gagambang extract into TBM. 4. Jinryungtang Gagambang extract also increased NK cell activities. According to the above results, it could be suggested that Jinryungtang Gagambang extract has prominent antiutmor effect.