• Journal of Families and Better Life
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• v.22 no.5
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• pp.293-302
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• 2004

This study investigated the internship experiences of female college students who have participated in consumer counseling programs. The factors that determine interns' counseling time and interns' level of satisfaction with the programs were examined. Major results of this study are summarized in the following. First, interns' time spent on counseling consumers was the longest for the program at the Korean Consumer Protection Board, followed by the programs at consumer agencies and firms. The time spent on counseling by interns was shorter when there was l) a larger number of employees; 2) a smaller proportion of female employees: 3) a larger number of counseling rooms and a higher the frequency of counseling at the agency; and 4) a lower evaluation on the work performance of the counseling agency and the employees. Second, the level of utilization of interns was the highest in consumer agencies, followed by the Korean Consumer Protection Board. When all employees were female and the evaluated level of work performance of the counseling agency and employees was high, the level of intern utilization was also high. Third, the evaluated level of work performance was the highest at the Korean Consumer Protection Board, and interns' satisfaction with the internship program was the highest with the consumer agencies and the Korean Consumer Protection Board. Fourth, interns were highly satisfied with the program when the level of intern utilization was high and the agency's operation was evaluated as good.

• Korea Trade Review
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• v.44 no.5
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• pp.93-106
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• 2019

The purpose of the study is to investigate whether monetary and non-monetary incentives paid to exporters influence the level of compliance and tendency to behave opportunistically. As one of the most common ways to export one's products overseas is to establish relationships with foreign agents, numerous research has aimed to identify types of incentives to motivate foreign agents to bring the most efficient outcomes. Stemming from previous studies, this research hypothesizes that the type of incentives affects exporter's level of compliance, and tendency to act opportunistically which determine the level of exporter's satisfaction on foreign agency role performance. Data was collected from 196 Korean exporters, and the findings suggest that exporters should actively engage in providing non-monetary incentives to their agents to motivate importers to comply with exporter's rules. Conversely, agents tend to act more opportunistically when they receive monetary incentives only. These phenomena lead to the conclusions that the satisfaction level of foreign agency role performance is improved when non-monetary incentives are actively in place, and at the same time, foreign agent's level of compliance and opportunism play mediating roles.

• Asia pacific journal of information systems
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• v.29 no.4
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• pp.771-788
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• 2019

Deep learning techniques such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) show superior performance in text classification than traditional approaches such as Support Vector Machines (SVMs) and Naïve Bayesian approaches. When using CNNs for text classification tasks, word embedding or character embedding is a step to transform words or characters to fixed size vectors before feeding them into convolutional layers. In this paper, we propose a parallel word-level and character-level embedding approach in CNNs for text classification. The proposed approach can capture word-level and character-level patterns concurrently in CNNs. To show the usefulness of proposed approach, we perform experiments with two English and three Korean text datasets. The experimental results show that character-level embedding works better in Korean and word-level embedding performs well in English. Also the experimental results reveal that the proposed approach provides better performance than traditional CNNs with word-level embedding or character-level embedding in both Korean and English documents. From more detail investigation, we find that the proposed approach tends to perform better when there is relatively small amount of data comparing to the traditional embedding approaches.

• Journal of The Korean Society of Agricultural Engineers
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• v.61 no.1
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• pp.107-120
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• 2019

Reservoir water level data identify the current water storage of the reservoir, and they are utilized as primary data for management and research of agricultural water. For the reservoir storage management, Korea Rural Community Corporation (KRC) installed water level stations at around 1,600 agricultural reservoirs and has been collecting the water level data every 10 minutes. However, various kinds of outliers due to noise and erroneous problems are frequently appearing because of environmental and physical causes. Therefore, it is necessary to detect outlier and improve the quality of reservoir water level data to utilize the water level data in purpose. This study was conducted to detect and classify outlier and normal data using two different models including the threshold model and the artificial neural network (ANN) model. The results were compared to evaluate the performance of the models. The threshold model identifies the outlier by setting the upper/lower bound of water level data and variation data and by setting bandwidth of water level data as a threshold of regarding erroneous water level. The ANN model was trained with prepared training dataset as normal data (T) and outlier (F), and the ANN model operated for identifying the outlier. The models are evaluated with reference data which were collected reservoir water level data in daily by KRC. The outlier detection performance of the threshold model was better than the ANN model, but ANN model showed better detection performance for not classifying normal data as outlier.

• Journal of Global Scholars of Marketing Science
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• v.18 no.4
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• pp.277-306
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• 2008

Knowledge1 is considered to be a key element of understanding how organizations gain and sustain competitive advantages. But very few firms are capable of creating the requisite knowledge and thus, firms should acquire and exploit new knowledge through knowledge transfer processes. The empirical part of this study involves examining relationships among adaptability of knowledge and knowledge transfer and marketing performance and testing the moderating roles of absorptive capacity, socialization and local marketing knowledge. This study is organized as follows: (1) Previous literature on knowledge, knowledge transfer and absorptive capacity is summarized, followed by the development of hypotheses derived from the knowledge-based view and absorptive capacity. (2) The hypotheses are tested with data collected from MNCs' subsidiaries performing marketing activities in Korea.Thestudyisclosedwithfindings,implications,andconclusions. Following six research hypotheses are drawn from literature review in related areas: H1: Adaptability of knowledge transferred from the MNCs' headquarters and other subsidiaries is positively associated with knowledge inflows into the receiving subsidiary. H2: The level of marketing knowledge transferred from the MNCs' headquarters and other subsidiaries is positively associated with marketing performance of the receiving subsidiary. H3: Increases in potential absorptive capacity will enhance the relationship between adaptability of knowledge and the level of marketing knowledge transfer. H4: Increases in realized absorptive capacity will enhance the relationship between the level of knowledge transfer and marketing performance of the receiving subsidiary. H5: Increases in socialization activity among the headquarters and subsidiaries will enhance the relationship between adaptability of knowledge and the level of marketing knowledge transfer. H6: Increases in the level of locally developed marketing knowledge will enhance the relationship between the level of knowledge transfer and marketing performance of the receiving subsidiary. The research framework that illustrates the proposed hypotheses is presented in figure 1. The unit of analysis for this study is knowledge transfer from the MNCs' headquarters and other subsidiaries to their subsidiaries operating in South Korea. The population for this study consists of subsidiaries established either as joint ventures or as wholly-owned subsidiaries. A group of 603 foreign firms were drawn from diverse industry organizations and business societies. After personal contact, telephone, fax, and e-mail to request that the respondents complete the questionnaire, 282 valid questionnaires from 133 initial sample companies were collected. The results of the empirical analyses significantly support all of the proposed hypotheses except hypothesis 3. Adaptability of external knowledge promotes knowledge transfer and the relationship is moderated by a firm's potential knowledge absorptive capacity. On the other hand, knowledge transfer improves a firm's marketing performance and a firm's realized knowledge absorptive capacity and local marketing knowledge moderate the relationship. The theoretical and practical implications of the findings in this study are as follows: (1) firms must take seeking, transferring, sharing and exploiting of external knowledge into serious consideration, while simultaneously creating knowledge to support the necessary business operations, remain competitive, and achieve superior performance. (2) Firms should continuously seek to develop their knowledge absorptive capacity (both potential and realized capacity) to absorb, learn and utilize valuable external knowledge. (3) Firms should emphasize not only absorptive capacity, but also development of local knowledge. Firms with strong absorptive capability and local knowledge can learn and transfer more external knowledge, which can be translated into greater levels of competence and performance.

• The KIPS Transactions:PartD
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• v.13D no.1 s.104
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• pp.75-86
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• 2006

This paper studied the improvement of software process of the software firms. Software process infrastructure level of software process is very important. This study provided that software process infrastructure have an significant influence on the process level, process infrastructure management level, and software process performance. The result showed that software process high level is elevated through management activity of organization infrastructure and technical infrastructure. And organization performance is elevated through fit between process level and quality culture of software process. Problem factors of software process infrastructure improvement is lack of process improvement mind, leadership and investment. Therefore software firms must construct process improvement through supporting of process quality mind and investment with process infrastructure improvement.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.5
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• pp.59-69
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• 2008

The purpose of this paper is to measure the level of difficulty of fingerprint database based on sample quality. This paper proposes distribution of a sample quality analyzer and a difference of sample quality analyzer to measure the level of difficulty. Experimental results demonstrate that there are stronger correlation between matching performance and level of difficulty based on difference of sample quality than other measure. Especially, level of difficulty based on OQ Block of MPQ co-occurrence matrix shows highest correlation with matching performance, and moreover it can predict the matching performance of unknown databases.

• Journal of Korean Institute of Industrial Engineers
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• v.20 no.4
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• pp.99-111
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• 1994

Toguchi method is a systematic technique for designing high quality product at low cost. There are three steps in the Toguchi method, 1)system design, 2)parameter design, and 3)tolerance design. This paper considers the tolerance design for multiple performance characteristics which is practically important. We present two tolerance design procedures : grade selection and tolerance determining procedures. In grade selection procedure a scheme is presented that minimizes the sum of the price of low-level characteristics and the expected loss due to the variations of high-level characteristics. In tolerance determining procedure we determine the tolerances of the low-level characteristics.

• Journal of Information Technology Services
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• v.2 no.2
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• pp.75-85
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• 2003

The purpose of this study is to derive critical success factors for ERP system implementation by the level of total resource as an ability of human resource and the environment of information system in the small and medium manufacture.

• Journal of Information Processing Systems
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• v.16 no.4
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• pp.859-869
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• 2020

This paper introduces page-level rewrite interval prediction (PRWIP). By recording and analyzing the memory access history at page-level, we are able to predict the future memory accesses to any pages. Leveraging this information, this paper proposes a faster incremental checkpoint design by overlapping checkpoint phase with computing phase and thus achieves higher performance. Experimental results show that our new incremental checkpoint design can achieve averagely 22% speedup over traditional incremental checkpoint and 14% over the previous state-of-the-art work.