• Journal of Korean Academy of Nursing Administration
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• v.4 no.2
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• pp.307-319
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• 1998

This study is an empirical investigation and study on the measurement of nursing service quality as perceived by patients. A series of H1. H2. H3 alternative hypotheses were tested using a sample of 250 patients in Taegu City. Korea. HI hypothese were tested for application of five component of service quality (SERVQlTAL and SE RPERF : tangiblity. reliability. responsiveness. accessibility. understandability) in Taegu area Hospitals. Validity test - the five components of service quality were rearranged into two components of service quality (personal factor. nonpersonal factor). Although SERVQUAL was verified in USA. application for five components of service quality in Korea indicated that it need more analytical studies. Nobody can deny the fact that the recent growth of the nursing service quality is one of the most important driving forces of hospital management. In many hospitals. the nursing quality charges more than 50% of the medical service quality. As a result. many hospital managers should be enormous interests in the investment potentiality of the nursing service. However. doesn't many researchers invest their time and effort on the research of the quality control in nursing service. Nursing service management is the process to satisfy customer's desires and expectations through the various service activities. Presently nursing service are being faced with three Common tasks of improving quality of nursing service. competitively differential advantage and productivity because of quantitative expansion of Nursing service. Such a phenomenon is also found in our medical service industry. resulting from increasing demands for medical service owing to national medical insurance policy and consumer's attitude change emphasizing prevention of illness. excessiveness of medical facilities in large cities and increasing medical lawsuits due to influence of consumerism. Therefore. under such circumstances. this research on nursing service is conducted from nursing managements to improve the nursing service quality problems faced by medical institutions. The results of this theoretical/empirical research are as follows: 1. Nursing service Quality is regarded as patients' perceived quality and evaluated on the basis (5 dimension) of technical and functional quality. 2. Nursing service Quality is a concept of patients evaluation on the measurable multi-dimensions intrinsic and extrinsic attributes of service. 3. Nursing service Quality is conceptually defined as the difference between the perceived service and the expected service. 4. Korean consumers trend to evaluate nursing service quality based on such dimensions as responsiveness and reliability. understandability. accessibility. tangibility. 5. After analyzing whether or not there are some differences in respective medical institution. it was found that there are significant difference on understandability. reliability. communicability. courtesy. competence. 6. After analyzing the difference between the expected nursing service and the nursing perceived service, it was found that the expected nursing service is higher than the perceived service in every medical institution. 7. HI hypothesis was tested with regard to the validity test between SERVQUAL and SERVPERF in nursing service quality. The result of validity test between SERVQUAL and SERVPERF was found to have differential result. That is the R2 of SERVPERF is higher than that of SERVQUAL. Therefore. HI was verified in nursing management. H2. H3 hypotheses were tested whether or not the nursing service quality and patient satisfaction is the preceding variable. The result of H2 hypothes is that the nursing service quality is the preceding variable of patient satisfaction and the patient satisfaction is that of revisiting intention. After analyzing whether or not there is any differences on the demographic variable of five nursing service quality factor. it was found that there are statistically significant differences on communicability and courtesy at the sex. understand ability. accessibility and tangibility at the age. understandability at the academic background respectively.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.25-38
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• 2019

Selecting high-quality information that meets the interests and needs of users among the overflowing contents is becoming more important as the generation continues. In the flood of information, efforts to reflect the intention of the user in the search result better are being tried, rather than recognizing the information request as a simple string. Also, large IT companies such as Google and Microsoft focus on developing knowledge-based technologies including search engines which provide users with satisfaction and convenience. Especially, the finance is one of the fields expected to have the usefulness and potential of text data analysis because it's constantly generating new information, and the earlier the information is, the more valuable it is. Automatic knowledge extraction can be effective in areas where information flow is vast, such as financial sector, and new information continues to emerge. However, there are several practical difficulties faced by automatic knowledge extraction. First, there are difficulties in making corpus from different fields with same algorithm, and it is difficult to extract good quality triple. Second, it becomes more difficult to produce labeled text data by people if the extent and scope of knowledge increases and patterns are constantly updated. Third, performance evaluation is difficult due to the characteristics of unsupervised learning. Finally, problem definition for automatic knowledge extraction is not easy because of ambiguous conceptual characteristics of knowledge. So, in order to overcome limits described above and improve the semantic performance of stock-related information searching, this study attempts to extract the knowledge entity by using neural tensor network and evaluate the performance of them. Different from other references, the purpose of this study is to extract knowledge entity which is related to individual stock items. Various but relatively simple data processing methods are applied in the presented model to solve the problems of previous researches and to enhance the effectiveness of the model. From these processes, this study has the following three significances. First, A practical and simple automatic knowledge extraction method that can be applied. Second, the possibility of performance evaluation is presented through simple problem definition. Finally, the expressiveness of the knowledge increased by generating input data on a sentence basis without complex morphological analysis. The results of the empirical analysis and objective performance evaluation method are also presented. The empirical study to confirm the usefulness of the presented model, experts' reports about individual 30 stocks which are top 30 items based on frequency of publication from May 30, 2017 to May 21, 2018 are used. the total number of reports are 5,600, and 3,074 reports, which accounts about 55% of the total, is designated as a training set, and other 45% of reports are designated as a testing set. Before constructing the model, all reports of a training set are classified by stocks, and their entities are extracted using named entity recognition tool which is the KKMA. for each stocks, top 100 entities based on appearance frequency are selected, and become vectorized using one-hot encoding. After that, by using neural tensor network, the same number of score functions as stocks are trained. Thus, if a new entity from a testing set appears, we can try to calculate the score by putting it into every single score function, and the stock of the function with the highest score is predicted as the related item with the entity. To evaluate presented models, we confirm prediction power and determining whether the score functions are well constructed by calculating hit ratio for all reports of testing set. As a result of the empirical study, the presented model shows 69.3% hit accuracy for testing set which consists of 2,526 reports. this hit ratio is meaningfully high despite of some constraints for conducting research. Looking at the prediction performance of the model for each stocks, only 3 stocks, which are LG ELECTRONICS, KiaMtr, and Mando, show extremely low performance than average. this result maybe due to the interference effect with other similar items and generation of new knowledge. In this paper, we propose a methodology to find out key entities or their combinations which are necessary to search related information in accordance with the user's investment intention. Graph data is generated by using only the named entity recognition tool and applied to the neural tensor network without learning corpus or word vectors for the field. From the empirical test, we confirm the effectiveness of the presented model as described above. However, there also exist some limits and things to complement. Representatively, the phenomenon that the model performance is especially bad for only some stocks shows the need for further researches. Finally, through the empirical study, we confirmed that the learning method presented in this study can be used for the purpose of matching the new text information semantically with the related stocks.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.1
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• pp.195-204
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• 2015

This study analyzed the normalization cases of the mutual savings bank insolvency PF (MSBIPF) to suggest the appropriate improvements according to the purpose. The results were as follows. First, the original intention to normalize the MSBIPF was unsuccessful. This may be caused by the daunting situation of the real estate market along with the complex and shared interests. On the other hand, it can be responsible for the lack of evidence and related regulations as well as the lukewarm attitude on public projects. Active institutional settings are warranted to compensate the remaining insolvent businesses to PF even today and in the future. The data related to the recognized sites as the poorest 32 PF sites was compared primarily to normalize by KAMCO and the relevant sites. The area variable was the only significant variable according to the correlation analysis and logit analysis. The direct investment, diverse PF-backed bonds and the activation of the Ritz can be suggested as alternative ways of normalization with respect to the issue of the KAMCO.

• Journal of Korean Society of Forest Science
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• v.107 no.3
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• pp.316-323
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• 2018

This study was conducted with the intention of providing basic data that are essential for establishing compensation standards for forest products and diagnosing forestry management in the future by investigating the cultivation process of major wild edible greens such as Pteridium aquilinum var. latiusculum, Ligularia fischeri, and Allium victorialis and analyzing related incomes. According to the result, the cultivation was generally divided into the open filed cultivation and mountain cultivation by the cultivated item. The annual average income by unit area ($3.3m^2$) for each item was 6,500 won for Pteridium aquilinum var. latiusculum cultivated open filed, 3,200 won for Pteridium aquilinum var. latiusculum cultivated in the mountain, 20,400 won for Ligularia fischeri cultivated open filed, 20,900 won for Allium victorialis cultivated open filed, and 7,300 won for Allium victorialis cultivated in the mountain. Particularly, while consumer demand for Allium victorialis and Ligularia fischeri are increasing phenomenally recently, the annual average income per unit area ($3.3m^2$) for these wild edible greens grown open filed was distinctively higher than that for Pteridium aquilinum var. latiusculum. This can be explained by very high working expenses (land rent and labor cost) required for the cultivation of Pteridium aquilinum var. latiusculum compared with other items. As for Ligularia fischeri and Allium victorialis yielding high annual average income, the initial investment costs including the cost of purchasing seeds and seed stocks account for 40% of the working expenses or over and thereby requiring proper support from the government for solidifying the income source and promoting cultivation in the agricultural and mountain regions in the future.

• Korean Journal of Construction Engineering and Management
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• v.11 no.3
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• pp.105-114
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• 2010

As the Korean economy went into a recession because of the global financial crisis in 2008, in order to vitalize the Korean economy, the government raised SOC budget and made its execution earlier. To prevent increases in budget for the government financial investment projects, the government controlled the project cost of SOC construction projects by enacting 'Guideline for total project cost management' in 1994 and complementing the relevant system. However, different from government intention, the total project cost of SOC projects were increased drastically. Hence, the government authorities and research institutions insisted the necessity of supplementation and improvement for the total project cost management system. This research is to provide the improvement for the total project cost management system of domestic SOC projects. In this research, As-Is Model was adjusted considering status of the total project cost management in the current SOC projects. Also the cost management of construction projects between domestic and other developed countries was studied, analyzed and compared. Based on the above, problems related to total project cost management of domestic SOC projects were found out and an improved total project cost management was provided to improve these problems.

• Journal of Families and Better Life
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• v.29 no.4
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• pp.109-123
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• 2011

The importance of finance in our society is truly absolute, and the of financial consumers who cope with the financial environment is becoming. Recently, many authorities in Korea to perceive the absence of serious economic or financial consumer education in order to find a fundamental solution for such a phenomenon, there is a growing need to introduce financial consumer education. This study aims to review the comprehension power of finance among consumers are college students in this society the importance of finance is becoming greater, and to a way promote financial consumer education by analyzing the demand level for The main results obtained from the include the following. First, as a result of reviewing the characteristics of respondents, their average age was 21.8 years old, and on average they each had 4.16 credit cards. Most of them had no experience of receiving financial consumer education in their teenage years, and their interest level in investment was shown to be above average. Second, as a result of reviewing their comprehension power of finance, it was shown to be 64.10 points on average their comprehension of the income area was the highest, their comprehension money management was shown to be the lowest. Third, as a result of reviewing the perception level of the provision of financial consumer education, it was shown to be very low the perception level of on-line and off-line financial consumer education provided by the YMCA was shown to be the highest. Fourth, as a result of reviewing the level financial consumer education, it was shown to be very high. For the level for institutions financial consumer education, financial institutions the highest. For the level for the method of financial consumer education, respondents chose practical experience the most and education books the least. For the intention of participating in financial consumer education, most respondents that they would participate, and most of them answered that the starting period should be the teenage years and childhood Therefore, as a result, most university student's consumers have concerned on financial education and financial inportance, it need to educate for the university student's consumers, and it need to develop technical tools and contents for ficancial education.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.251-264
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• 2022

The purpose of this study is to present factors and strategies for successful rewarded-crowdfunding of companies. For this, rewarded-crowdfunding based on the extended theory of planned behavior(E-TPB) by adding individual innovation and risk preference as extended variables, in addition to the basic variables of the theory of planned behavior(TPB), including attitude, subjective norm, and perceived behavior control. In addition, the moderating effect of rewarded-crowdfunding experience was confirmed. In addition, the moderating effect of the rewarded-crowdfunding experience was confirmed, and exploratory factor analysis and multiple regression analysis were conducted for questionnaires who were aware of the concept of rewarded-crowdfunding. As a result of testing the hypothesis, it was found that attitude, subjective norm, perceived behavioral control, and risk preference affect the intention to invest in rewarded-crowdfunding. Also, we could find that perceived behavior control and risk preference were moderately influenced by investor who had experience in rewarded-crowdfunding. Based on the research results, it has academic and practical value by presenting the direction of enhancing the success of rewarded-crowdfunding that companies can use as a way to raise funds and boost sales.

• Journal of Korea Entertainment Industry Association
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• v.13 no.7
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• pp.87-98
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• 2019

This study sought to identify the impact of scenarios, capital, manpower (directors, actors), media promotion, oral communication, and recognition on the intention of watching movies, and to present marketing and policy implications to film producers for ways to revitalize their films. Therefore, the implications of this study are as follows: First, if you watch a movie with a friend or introduce a movie, you should set up a marketing strategy to promote the movie as a oral message to the people around you through double points and free admission at the 10th movie. It will also require the promotion of the scenario to be strengthened so that people around them can recognize it naturally. Second, film production companies will have to improve the quality of their movies by readjusting the distribution of capital in the event of capital investment. In addition, the movie should be encouraged by the oral publicity that the huge amount of capital has enhanced the quality of the movie, as well as pre-experience events to help the audience recognize it. Third, filmmakers will have to choose directors and actors who can digest novel and experimental material over the director's or actor's reputation. Fourth, the movie promotion company should set up strategies to cater to visitors through a contest for ideas for promoting visitors, which can arouse interest among visitors. Fifth, movie promoters will have to set a sufficient promotional period for visitors to be aware of the film in advance. Finally, movie writers will have to create scenarios with a variety of materials that meet the needs of visitors. Also, movie officials will have to develop or create a mechanism for those who watch the movie to practice oral and cognitive skills.