• Journal of Intelligence and Information Systems
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• v.23 no.1
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• pp.127-141
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• 2017

Advances in Internet technologies and the proliferation of mobile devices enabled consumers to approach a wide range of goods and services, while causing an adverse effect that they have hard time reaching their congenial items even if they devote much time to searching for them. Accordingly, businesses are using the recommender systems to provide tools for consumers to find the desired items more easily. Association Rule Mining (ARM) technology is advantageous to recommender systems in that ARM provides intuitive form of a rule with interestingness measures (support, confidence, and lift) describing the relationship between items. Given an item, its relevant items can be distinguished with the help of the measures that show the strength of relationship between items. Based on the strength, the most pertinent items can be chosen among other items and exposed to a given item's web page. However, the diversity of the measures may confuse which items are more recommendable. Given two rules, for example, one rule's support and confidence may not be concurrently superior to the other rule's. Such discrepancy of the measures in distinguishing one rule's superiority from other rules may cause difficulty in selecting proper items for recommendation. In addition, in an online environment where a web page or mobile screen can provide a limited number of recommendations that attract consumer interest, the prudent selection of items to be included in the list of recommendations is very important. The exposure of items of little interest may lead consumers to ignore the recommendations. Then, such consumers will possibly not pay attention to other forms of marketing activities. Therefore, the measures should be aligned with the probability of consumer's acceptance of recommendations. For this reason, this study proposes a model-based approach to combine those measures into one unified measure that can consistently determine the ranking of recommended items. A regression model was designed to describe how well the measures (independent variables; i.e., support, confidence, and lift) explain consumer's acceptance of recommendations (dependent variables, hit rate of recommended items). The model is intuitive to understand and easy to use in that the equation consists of the commonly used measures for ARM and can be used in the estimation of hit rates. The experiment using transaction data from one of the Korea's largest online shopping malls was conducted to show that the proposed model can improve the hit rates of recommendations. From the top of the list to 13th place, recommended items in the higher rakings from the proposed model show the higher hit rates than those from the competitive model's. The result shows that the proposed model's performance is superior to the competitive model's in online recommendation environment. In a web page, consumers are provided around ten recommendations with which the proposed model outperforms. Moreover, a mobile device cannot expose many items simultaneously due to its limited screen size. Therefore, the result shows that the newly devised recommendation technique is suitable for the mobile recommender systems. While this study has been conducted to cover the cross-selling in online shopping malls that handle merchandise, the proposed method can be expected to be applied in various situations under which association rules apply. For example, this model can be applied to medical diagnostic systems that predict candidate diseases from a patient's symptoms. To increase the efficiency of the model, additional variables will need to be considered for the elaboration of the model in future studies. For example, price can be a good candidate for an explanatory variable because it has a major impact on consumer purchase decisions. If the prices of recommended items are much higher than the items in which a consumer is interested, the consumer may hesitate to accept the recommendations.

• Survey Research
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• v.13 no.1
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• pp.61-87
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• 2012

This research is a part of a fundamental research to form the topographic map of the South Korean society's cultural capital, based on large scale research data. Its purpose is to suggest suitable questions for today's Korean society as well as to compare with previous data accumulated from other nations. For this, this research is to establish theoretical background through critical study on the extensive literature on domestic and foreign cultural capital and collect measures, questionnaires, and data used in important literature and surveys. Based on this, the major domains and levels that should be dealt in the questionnaire were chosen, literature review was conducted for each field; experts were investigated in order to develop questions more suitable for the Korean society considering each domain and level, and qualitative research on the subjects were conducted. This research as seen through the above processes, music genres and culture activities were chosen as major domains, "high/popular" level and "consumption/production" level were chosen as items, and specific items were composed considering Korea's distinct characteristics. Each of these items combine and complement the three aspects of measuring cultural capital(preference, participation, perception), which have been used incoherently in previous researches in measuring the level of possession in cultural capital. This led to developing questions such as the level of liking each item(preference), the level of participating in each item(participation), the level of luxuriousness in each item(perception), and the level of stylishness in each item(perception). This research holds significance in that it critically examines the vast amount of questionnaires used in the past for cultural capital research, provides a large framework to find Korean cultural capital by adding items considering Korea's distinct characteristics, and provides groundwork to fill in the non-Western gap in the discussion of cultural capital, which has been based on the West.

• The Journal of the Korea Contents Association
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• v.14 no.6
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• pp.108-118
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• 2014

The purpose of this study is to develop a relationship of measuring method for the social security network and verify its validity and reliability and apply it to investigate the due to security life satisfaction. This study is based by setting general residents of Seoul in 2013 and using the stratified cluster random sampling method to analyze a total amount of 203 examples. The measuring methods for the social security network was developed through document research, conceptual definition and drafting the survey, experts' conference, preliminary inspection and original examination, verification of the validity and reliability of the survey. An experts' conference took pace to verify the validity of the survey, and 6 factors were extracted through exploratory factor analysis crime prevention design, street CCTV facilities, volunteer neighborhood patrol, local government security education, police public peace service, private security service. The conclusion are the following. Collected data was analyzed based on the aim of this study using SPSSWIN 18.0, and practice frequency analysis, F test, factor analysis, reliability analysis, correlation analysis, multiple regression analysis. First, the validity of the social security network measurement is very high. Thus, the factors constituting the social security network were found to be crime prevention design, street CCTV facilities, volunteer neighborhood patrol, local government security education, police public peace services, and private security services, and the crime prevention design factor was found to be most explanatory. Second, the reliability of the social security network measurement is very high. Thus, the correlation between the questions and the sector, the questions and the social security net was very high, and the internal consistency showed a Cronbach's${\alpha}$ value of over 0.865. Third, the establishment of a social security network had the biggest effect on people in their forties. Thus, when the crime prevention design, street CCTV facilities, local government security education, police public peace services are systematically established, the social anxiety of citizens was reduced.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.12
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• pp.747-757
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• 2019

This study examined the reliability and validity of the Korean version of the Nurse-Patient Interaction Scale (K-NPIS) for the elderly, at long-term care hospitals in Korea. The original NPIS was developed to identify important characteristics of elderly patient experiences regarding nurse-patient interactions in nursing homes. Totally, 202 hospitalized elderly patients at 4 long-term hospitals in Jinju-si, Suncheon-si, and Namwon-si, were enrolled in the study and completed the questionnaire. For internal consistency, Cronbach's α of K-NPIS was 0.96 after item analysis. K-NPIS was validated using the confirmatory factor analysis and content validity. The content validity score was more than 0.80, establishing the appropriateness and readiness of the tool through group discussions between clinical experts and elderly patients. The K-NPIS is a 10-point scale comprising 12 questions. K-NPIS scores between different residential groups were significantly different, and showed no ceiling or floor effect. The internal consistency reliability, construct validity, and discriminative validity of K-NPIS was adequate. However, criterion validity requires further examination. Our findings suggest that K-NPIS serves as an appropriate measure of nurse-patient interaction when applying the nursing care intervention for elderly.

• Environmental and Resource Economics Review
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• v.18 no.2
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• pp.217-239
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• 2009

As gas hydrate is recently emerging as a new energy source to solve environmental and exhaustion problems caused by fossil energy, Korea is working on a gas hydrate development project under a 10-year plan from 2005 to 2014. Gas hydrate is expected to have a big effect on the economy and society of Korea, which is largely depending on energy imports besides water energy and atomic energy. However, it is uncertain whether the project will produce successful results. Thus, it is very important to improve its validity and to propose effective execution strategies by evaluating the value of the project in advance. Thus, this study intended to include new information, which had not been evaluated in existing methods, and to reduce biases or errors in value evaluation results by applying a fuzzy risk analysis to the real option model in order to evaluate the value of a gas hydrate development project. It is advantageous that the real option model based on the fuzzy risk analysis modelizes the vagueness and inexactness of intangible element judgment into an appropriate language scale so as to evaluate these elements clearly and integrate them with estimated financial performance results. The application of the fuzzy risk analysis makes it possible to conduct an analysis by dissolving a decision-making issue with complicated and various attributes into several simplified problems. With the continuing high oil prices and today's demand of clean energy, the necessity of energy resources and technology development projects keeps growing. Amid this situation, it is expected that these study results will contribute to proposing a guideline not only for gas hydrate projects but also for policy decision-making related to future energy industries.

• Korean Security Journal
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• no.20
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• pp.19-43
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• 2009

The purpose of this study was to examine the factors which influence the attitude of employees in security firms in Korea that ultimately lead to their turnover. Several variables which are seen as influential in formation of employees' attitudes about their organizations are leadership and job characteristics. In commitment and job stress were seen as two major variables which lead to the formation of their turnover, commitment was seen as positive influential variable and job stress a negatively influencing variable in employees' attitudes about their respective organizations. Survey method using questionnaires were utilized on employees of medium to large security firms in Seoul and Kyonggi province of Korea where 30 or more were employed. Sample for this research were field operators and, for leadership determination, their division chiefs were chosen. For the purpose of this research, several key hypotheses derived and developed from existing works related to this research topic were tested using multiple regression analysis utilizing SPSS 11.0. and Lisrel 8W The research findings are an follows: 1. leadership behavior of the superiors greatly influence, in most positive way, the employees' commitment. 2. Those employees who view their high organization commitment. shown to possess lower turnover. 3. Autonomy in their job characteristics to positively influence one's job stress 4. Higher the job stress the higher and positively influence one's turnover.

• Journal of Korean Society of Transportation
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• v.21 no.2
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• pp.119-130
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• 2003

SP data have been widely used in assessing new transport policies and transport related plans. However, one of criticisms of using SP is that respondents may show different reaction between hypothetical experiments and real life. In order to overcome the problem, combination of SP and RP data has been suggested and the combined methods have been being developed. The purpose of this paper is to suggest a new SP and RP combined method using error component method and to verify the method. The error component method decomposes IID extreme value error into non-IID error component(s) and an IID error component. The method estimates both of component parameters and utility parameters in order to obtain relative variance of SP data and RP data. The artificial SP and RP data was created by using simulation and used for the analysis, and the estimation results of the error component method were compared with those of existing SP and RP combined methods. The results show that regardless of data size, the parameters of the error component method models are similar to those assumed parameters much more than those of the existing SP and RP combined models, indicating usefulness of the error component method. Also the values of time for error component method are more similar to those assumed values than those of the existing combined models. Therefore, we can conclude that the error component method is useful in combining SP and RP data and more efficient than the existing methods.

• The Journal of the Korea Contents Association
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• v.12 no.7
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• pp.394-405
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• 2012

This study is aimed at developing a tool to measuring school police's job performance, and verifying its credibility and validity. This study collected the sample to 250 subjects using a significance collection method to parents of elementary schools school police work. But excluding dishonestly responding data, this used total 210 people for the final analysis. This study executed experts' meeting, exploratory and confirmatory factor analysis, and item analysis to verify reliability, and verification of internal consistency and reliability. This study extracted and confirmed 7 factors for specialization, attitude, program, prevention activity of school violence, effect, basic duty, teaching for school time and home time, and correlation with related people. Through the above research approach and procedure, this study arrived at the following conclusion. First, validity to school police's job performance and measurement tool to job performance is very high. That is, school police's job performance was explored and confirmed through correlation with specialization, attitude, program, prevention activity of school violence, effect, basic job, teaching for school time and home time, and related people, and of them, explanation of attitude is the highest. Second, reliability to the measurement scale for school police's job performance is very high. That is, school police's job performance has high correlation between items, sub-factors, and total scores, and reliability of internal consistency, Cronbach's ${\alpha}$ value, is over .708. Putting them together, measurement scale for school police's job performance is a questionnaire sheet with very high level of validity and reliability.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.14 no.1
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• pp.199-218
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• 2003

The discriminating power of journal evaluation criteria of Korean medical journals were measured. The study used the data of 76 medical journals, collected in the "Korean Medical Journal Evaluation" process conducted by the Korean Association of Medical Journal Editors (KAMJE) between 1997 and 1999. For each evaluation criterion, the distribution of the individual score vs the total score of a journal received was plotted and their correlations were analyzed. It is found that the evaluation criteria with a high discriminating power are the ones associated with the peer review system and the journal editing. The evaluation criteria with a low discriminating power are the journal frequency and how often a chief editor is changed. Some evaluation criteria such as "Journal holding rates of medical libraries" and "year-end index" need modifications in the evaluation methods. Other evaluation criteria such as "Journal self-citation rate","SCI citation rate" and "SCI impact factor" need to modify the score ranges. It is recommended that the new evaluation criteria such as "citation rate by Korean medical journals" and "Access availability of the journal information through major Korean medical abstract databases" should be added.formation through major Korean medical abstract databases" should be added.dded.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.11
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• pp.527-534
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• 2016

The emergent information society requires the talent for creative thinking based on problem-solving skills and comprehensive thinking rather than simple memorization. Therefore, the Korean curriculum has also changed into the direction of the creative thinking through increasing short-answer questions that can determine the overall thinking of the students. However, their scoring results are a little bit inconsistency because scoring short-answer questions depends on the subjective scoring of human raters. In order to alleviate this point, an automated scoring system using a machine learning has been used as a scoring tool in overseas. Linguistically, Korean and English is totally different in the structure of the sentences. Thus, the automated scoring system used in English cannot be applied to Korean. In this paper, we introduce an automated scoring system for Korean short-answer questions using predictability and unanimity. We also verify the practicality of the automatic scoring system through the correlation coefficient between the results of the automated scoring system and those of human raters. In the experiment of this paper, the proposed system is evaluated for constructed-response items of Korean language, social studies, and science in the National Assessment of Educational Achievement. The analysis was used Pearson correlation coefficients and Kappa coefficient. Results of the experiment had showed a strong positive correlation with all the correlation coefficients at 0.7 or higher. Thus, the scoring results of the proposed scoring system are similar to those of human raters. Therefore, the automated scoring system should be found to be useful as a scoring tool.