• Journal of Korean Academy of Nursing
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• v.37 no.5
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• pp.736-743
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• 2007

Purpose: The purpose of this study was to develop a scale of free nursing home adjustment for the elderly in Korea. Method: The developmental processes were construction of a conceptual framework, development of preliminary items, verification of content validity, twice data gathering, verification of construct validity, and reliability of final items. The first 53 preliminary items were obtained through review of literatures about nursing home adjustment and in depth interviews with 5 staffs of nursing home. These items were reviewed by five specialists for content validity and 39 items were chosen. The first data was collected from 107 elderly residing in 3 nursing homes and the second survey was from 147 residents who were living in five nursing homes. Finally this data was analyzed for construct validity and reliability. Result: There were 23 final items which were sorted into 5 factors. The factors were identified as 'Relocation distress symptom'(8items), 'Making friends'(4items), 'Acceptance of new residence'(6items), 'Difficulty in group life'(3items), and 'Having self-worth'(2items). The cumulative percent of variance was 53.466%. The reliability of the scale, Cronbach's alpha was .837. Conclusion: The result of this study could be used for measuring nursing home adjustment of the elderly. However, for further validity and reliability, repeated researches are needed.

• Journal of Intelligence and Information Systems
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• v.21 no.2
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• pp.1-18
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• 2015

Collaborative filtering(CF) algorithm has been popularly used for recommender systems in both academic and practical applications. A general CF system compares users based on how similar they are, and creates recommendation results with the items favored by other people with similar tastes. Thus, it is very important for CF to measure the similarities between users because the recommendation quality depends on it. In most cases, users' explicit numeric ratings of items(i.e. quantitative information) have only been used to calculate the similarities between users in CF. However, several studies indicated that qualitative information such as user's reviews on the items may contribute to measure these similarities more accurately. Considering that a lot of people are likely to share their honest opinion on the items they purchased recently due to the advent of the Web 2.0, user's reviews can be regarded as the informative source for identifying user's preference with accuracy. Under this background, this study proposes a new hybrid recommender system that combines with users' review mining. Our proposed system is based on conventional memory-based CF, but it is designed to use both user's numeric ratings and his/her text reviews on the items when calculating similarities between users. In specific, our system creates not only user-item rating matrix, but also user-item review term matrix. Then, it calculates rating similarity and review similarity from each matrix, and calculates the final user-to-user similarity based on these two similarities(i.e. rating and review similarities). As the methods for calculating review similarity between users, we proposed two alternatives - one is to use the frequency of the commonly used terms, and the other one is to use the sum of the importance weights of the commonly used terms in users' review. In the case of the importance weights of terms, we proposed the use of average TF-IDF(Term Frequency - Inverse Document Frequency) weights. To validate the applicability of the proposed system, we applied it to the implementation of a recommender system for smartphone applications (hereafter, app). At present, over a million apps are offered in each app stores operated by Google and Apple. Due to this information overload, users have difficulty in selecting proper apps that they really want. Furthermore, app store operators like Google and Apple have cumulated huge amount of users' reviews on apps until now. Thus, we chose smartphone app stores as the application domain of our system. In order to collect the experimental data set, we built and operated a Web-based data collection system for about two weeks. As a result, we could obtain 1,246 valid responses(ratings and reviews) from 78 users. The experimental system was implemented using Microsoft Visual Basic for Applications(VBA) and SAS Text Miner. And, to avoid distortion due to human intervention, we did not adopt any refining works by human during the user's review mining process. To examine the effectiveness of the proposed system, we compared its performance to the performance of conventional CF system. The performances of recommender systems were evaluated by using average MAE(mean absolute error). The experimental results showed that our proposed system(MAE = 0.7867 ~ 0.7881) slightly outperformed a conventional CF system(MAE = 0.7939). Also, they showed that the calculation of review similarity between users based on the TF-IDF weights(MAE = 0.7867) leaded to better recommendation accuracy than the calculation based on the frequency of the commonly used terms in reviews(MAE = 0.7881). The results from paired samples t-test presented that our proposed system with review similarity calculation using the frequency of the commonly used terms outperformed conventional CF system with 10% statistical significance level. Our study sheds a light on the application of users' review information for facilitating electronic commerce by recommending proper items to users.

• International Commerce and Information Review
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• v.12 no.4
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• pp.279-302
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• 2010

A better selection model on management innovative enterprises is needed since the Korean government provides multi benefits to those selected enterprises. However, the selection model's propriety is suspicious because of the shortage of consideration of assessment items. In particular, the most important two assessment items, strategy and performance are suspected of multicollinearity because of high correlation scores. No consideration on multicollinearity among those items leads to erroneous selection which doubly counts the same components with different item names. The principle component analysis is applied to factor out the uncorrelated items. Using the resulted principle components, the new estimations are carried out. The comparison between estimated results from using principle components and non principle components shows that the present selection model overly considers the performance items compared to the real effect of items, which is a result of multicollinearity between performance and strategy.

• International Commerce and Information Review
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• v.10 no.1
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• pp.349-371
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• 2008

Export controls on strategic items has been an international standard of trade. We should understand the global trend of this and perform clean policies in the international community. This article examines the Improvement of Competitiveness and International Export Control System of Strategic Items for focusing to Internal Compliance Program(ICP). Therefore, this study would like to suggest for build to ICP. Each member of company have to convert their perception for controling strategic items. Also, they have to build controling system in ERP system and extend Incentive for CPs. the support to the trustworthy controling system. Korea is actively trying to control strategic items export for world peace and national security. So the related enterprise needs to manage voluntary export system.

• The Mathematical Education
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• v.48 no.1
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• pp.93-105
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• 2009

Considering the fact that PCK(pedogogical content knowledge) tends to guarantee the identity of mathematics education as a discipline and the teacher professionalism, PCK is one of the core concepts in the research on subject matter education. The purpose of this study is to review domestic and international researches on the definition and the components of PCK in mathematics. Based on the review, this study identified 3 knowledges which consist PCK; knowedge of mathematic content, knowledge of learner's understanding, and knowledge of teaching. Then this study provided some examples of PKC in the topic, the limit of sequences, and introduced the LMT and TEDS-M items, which were designed to measure the teacher's PCK. Lastly, this study attempted to evaluate the items on mathematics education included in the Teacher Employment Test administered for pre-service/. teachers in Korea based on PCK.

• Journal of the Korean Society of Safety
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• v.18 no.2
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• pp.98-103
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• 2003

Based on ASME probabilistic risk assessment (PRA) and NEI PRA peer review guidance, we evaluate a human reliability analysis (HRA) in probabilistic safety assessment (PSA) for Korea standard nuclear power plants, Ulchin Unit 3&4, to improve it performed at under design. The HRA for Ulchin Unit 3&4 is assessed as higher than Grade I based on ASME PRA standard and as higher than Grade 2 based on NEI PRA peer review guidance. The major items to be improved identified through the evaluation process are the documentation, the systematic human reliability analysis, the participitation of operators in the works and review of HRA. We suggest the guidance on the identification and qualitative screening analysis for pre-accident human errors and solve some items to be improved using the suggested guidance.

• Korean Management Science Review
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• v.17 no.3
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• pp.119-129
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• 2000

Design of web site must include community considerations alongside technical design aspects. The main purposes of this study are to identify the community criteria for evaluating web site and to examine how business web sites include the community factors. To identify the evaluation criteria, the author reviewed recent literatures and made a table showing a summary result(see Table 1). appendix shows a sample form NASDAQ(n=82) and KOSDAQ(n=59) which were evaluated. Using the evaluation from with 189 items(Table 3), all sites were visited and review between August 28, 2000 and September 6, 2000. The auther’s evaluations were done from the perspective of community building in business sector. Table 4, summary data on the results of the study, shows that the level of application of the community concept is very low. Among the listed 18 items, only a few items are utilized at more than 50% level. Less than 10% items are Member Profile, Group Segmentation, Backstory, Forum, Chat, Fact-to-face Meeting, and Collaborative Design. the unbalanced utilization due to the lack of community concept in businesses are found. Korea firms are superior to NASDAQ firms in terms of Bulletin Board and FAQ; But Korean firms are inferior and remain at very low level in terms of Member Login, Education Materials, Backstory, Forum, and Integrating Off-line Activities which are core factors of community building.

• Industrial Engineering and Management Systems
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• v.8 no.2
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• pp.72-79
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• 2009

The ultimate goal of inventory management is to decide the timing and the quantity of ordering in response to uncertain demands. Recently, some researchers have focused upon an impact of distortions in the information, e.g., customer order cancellation, on an economical inventory policy. The customer order cancellation is considered a kind of distortions in demands, because a demand that is eventually cancelled is equivalent to a phony demand. Also, there are some additional distortions in the inventory information. For instance, the procurement of suppliers may include some nonconforming items as a result of imperfect production and inspection by the suppliers, and/or damage in transit. The nonconforming item should be considered a kind of distortions in the inventory information, because the nonconforming item is equivalent to a phony stock. In this article, we consider an inventory model under the situation that customers can cancel their orders and the procurement of suppliers may include some nonconforming items. Then, we introduce the customer order reservation into the inventory model for the purpose of avoiding the costly backlogs, because the customer order reservation gives retailers a period to fulfill customer's requests. We formulate a periodic review (s, S) inventory model and investigate the economical operation under the situation mentioned above. Further, through the sensitivity analysis, we show the impact of these distortions and the effect of the customer order reservation on the inventory policy.

• Journal of Korean Academy of Nursing
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• v.49 no.1
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• pp.14-25
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• 2019

Purpose: This was a methodological study that aimed to develop a measurement scale for aging anxiety among middle-aged women. Methods: In this study, construct factors were extracted, and a conceptual framework was established through an extensive literature review and in-depth interviews with middle-aged women. Under the conceptual framework, 44 preliminary items were constructed, and a preliminary scale of 25 items was completed after two rounds of expert validation and item review. For this study, data were collected from 201 women aged 40~59 years, and the construct validity and reliability of the preliminary scale were verified. Results: To verify the construct validity, exploratory factor analysis was conducted. Four factors containing 19 items were extracted. Concurrent validity of the developed scale was verified with Pearson's correlation analysis. The final scale comprised 4 factors ("Social valueless", "Physical weakness", "Concern about changes in appearance", and "Expectations of old age") and 19 items. The Cronbach's ${\alpha}$ value was .91. Conclusion: The scale for measuring aging anxiety in middle-aged women developed in this study validly reflected the peculiarities of aging anxiety in middle-aged women, who experience many physical, emotional, and social changes. The scale can be said to reflect the cultural background, as it reflected real experiences gained through in-depth interviews with middle-aged women.

• Journal of Korean Academy of Nursing
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• v.35 no.1
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• pp.113-124
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• 2005

Purpose: The purpose of this study was to develop a health conservation scale with high validity and reliability for institutionalized elderly. Method: The process of development of this scale was as follows. A conceptual framework composed of 4 phases of health conservation of institutionalized elderly was identified based on the literature review with elderlies and discussions with experts in health conservation. A total of 75 items, on a 4-point scale were developed. Through reliability testing and factor analysis, 57 preliminary items were selected. By means of internal consistency of the 57 items, 18 items whose inner-items correlation coefficient was below .40 were deleted. Through factor analysis, 2 items whose factor loading was below .40 were deleted. Finally 37 items remained. To verity the 37 items, factor analysis, reliability testing, and correlation was done. Data were collected from 207 institutionalized elderly subjects in Daegu, Kyungpook, Busan, and KyungNam Province from August. 2003 to February. 2004. Result: In the result of factor analysis of the 37 items, 4 factors were extracted. These factors were labeled as ‘personal integrity’, ‘conservation of energy', ‘structural integrity’, and ‘social integrity'. These factors included 4 phases of health conservation. Cronbach's Alpha of 37 the items was .9424 and the correlation coefficient of HPLP was .723. Conclusion: The researchers recommend the following: An explorative study on the variables related to health conservation is needed for criterion validity of this scale. Studies on health conservation of different age groups, and subjects are needed for verification.