• Knowledge Management Research
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• v.10 no.4
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• pp.163-183
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• 2009

Numerous studies in the field of buyer-supplier relationship research have focused on the buyer's performance. In contrast, supplier's performance has been paid relatively little attention by researchers, especially the research about the supplier's innovation in the relationship is still in its early stage. In this paper, we examine the relation between the attribute of buyer-supplier relationship and the attribute of supplier's innovation through case research. We define the attribute of buyer-supplier relationship as 'tie strength' (Granovetter, 1973), and the attribute of supplier's innovation as 'exploitation or exploration' (March, 1991). We selected the semiconductor equipment industry of U.S.A, Japan and Korea and firm (JUSUNG Engineering) as cases that examine the relation. We found that a strong tie relationship is positively associated with supplier's exploitation based innovation, and a weak tie relationship is positively related to it's exploration based innovation in this research also. In addition, we could verify reduction of strong tie relationship cause supplier's organizational change.

• Journal of the Korean Society of Safety
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• v.32 no.6
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• pp.110-115
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• 2017

Currently, the Ministry of Employment and Labor is strengthening monitor programs in regards to occupational industrial safety and health act compliance in business operations. However, industrial accidents occur persistently. Therefore, the study strives to diagnose and understand the issues in its educational stature, targeting managing supervisors in large scale shipbuilding industry whose completed the regular safety and health act sessions. This research considered a total of 3,252 employees whose completed theory-based cluster sessions for three months since February, 2016. The group is divided into two categories; 551 participants whose completed 8 hours of training and 2,701 participants whose completed 4 hours of training. Technical statistics were used to measure the knowledge of safety and health, educational environment, curriculum and educational effects on managing supervisors. A t-test was used to analyze the difference between the training hours. The result indicated that the target participants' knowledge on safety and health before the session was 50.24 points average (100 point scale), showing low standards in general. In depth analysis indicated that both 8 hours and 4 hours groups scored lowest in educational methods and communications between the lecturer and participants factors within the educational curriculum category. Meanwhile, transition in knowledge acquirement, work attitude, and work behaviors scored the highest in the analysis, showing a high satisfaction factors in educational effects. Therefore, the improvement in educational time and period can increase the efficacy of the educational programs. Also, theory-based cluster programs based on lectures suggests positive influence in knowledge acquirement and behavioral transitions.

• Knowledge Management Research
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• v.19 no.1
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• pp.97-118
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• 2018

The finance-investment industry is currently focusing on research related to artificial intelligence and big data, moving beyond conventional theories of financial engineering. However, the case of equity optimization portfolio by using an artificial intelligence, big data, and its performance is rarely realized in practice. Thus, the purpose of this study is to propose process improvements in equity selection, information analysis, and portfolio composition, and lastly an improvement in portfolio returns, with the case of an equity optimization model based on quantitative research by an artificial intelligence. This paper is an empirical study of the portfolio based on an artificial intelligence technology of "D" asset management, which is the largest domestic active-quant-fiduciary management in accordance with the purpose of this paper. This study will apply artificial intelligence to finance, analyzing financial and demand-supply information and automating factor-selection and weight of equity through machine learning based on the artificial neural network. Also, the learning the process for the composition of portfolio optimization and its performance by applying genetic algorithms to models will be documented. This study posits a model that the asset management industry can achieve, with continuous and stable excess performance, low costs and high efficiency in the process of investment.

• Korean Journal of Community Nutrition
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• v.23 no.1
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• pp.1-12
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• 2018

Objectives: The purpose of this study was to examine the impact of a targeted, practical education intervention on university students' knowledge and attitudes toward breastfeeding. Methods: A university curricular intervention was designed for students to increase their knowledge and positive attitude toward breastfeeding issues. The participants attended a breastfeeding education lectures two hours of weekly for fifteen weeks in university; 61 students (female, n=31 and male, n=30) participated. The pre- and post-measurements included future breastfeeding intention, knowledge, attitude and perceived control beliefs scores based on the results of a questionnaire. Results: The statistical analysis results revealed a significant difference in the pretest and posttest scores (0.57 to 5.10 points, p<0.001) in regard to the students' breastfeeding knowledge. For female students, significant differences were observed in the future breastfeeding intention (p<0.05), knowledge (p<0.001), and attitudes towards breastfeeding (p<0.05) between the pretest and posttest scores. For male students, there were no significant differences in the future breastfeeding intention, attitudes towards breastfeeding, and perceived control beliefs scores after the breastfeeding education lecture. Conclusions: This study showed that the implementation of practical breastfeeding educational interventions helped improve university students' knowledge and attitudes toward breastfeeding. In summary, despite the limitations, it is necessary to pay more attention to improving students' knowledge and attitudes towards breastfeeding through university curricula.

• Korean Journal of Human Ecology
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• v.19 no.4
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• pp.719-732
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• 2010

This study assessed knowledge-based environments for knowledge management in hospital dietetic departments. This study categorized the current knowledge management environment into routine habits, capability, culture and system. A questionnaire was conducted on dieticians in general hospitals with 400 beds in Seoul and Gyeong-in areas. Excluding responses with significant missing data, 160 usable questionnaires were analyzed by SPSS package programs for the study. The result of the study is summarized as follows. The average number of licensed beds in the hospitals was 717.5 and the average number of meals provided daily was 1,626.3. 53.2% of dieticians were aged between 26 and 35. Of the maximum score of 5 points, habits scored $3.65{\pm}.44$ points, capability scored $3.38{\pm}.44$ points, culture scored $3.21{\pm}.46$ points and system scored $2.77{\pm}.74$ points. Hospitals with a high ratio of occupied beds also had significantly higher points in capability, culture and system. The older the group the higher points it scored in habits and culture. The married group scored higher points in habits while the higher educated group scored higher points in habits and capability. The dietitians in charge of clinical nutrition scored higher points in habit, capability and culture while the higher salaried group scored higher points in habit, culture and capability. Therefore this study would provide useful information for the introduction of knowledge management in hospital dietetic departments.

• The Journal of Information Systems
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• v.18 no.3
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• pp.231-249
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• 2009

Recently, plant construction industries are enjoying a favorable business climate centering around developing countries and oil producing countries rich in oil money. This paper proposes a methodology of implementing case-based reasoning(CBR) system for managing knowledge like lessons learned and various documents accumulated in performing power plant construction projects which are receiving a lot of order from foreign countries such as the Middle East, etc. Our methodology is consisted of 10 steps : user requirement gathering, information modeling, case modeling, case base design, similarity function design, user interface design, case base building, CBR module development, user interface implementation, integration test. Also, to illustrate the effectiveness of proposed methodology, the real CBR system is implemented for the plant business division of 'H' company which has international competitiveness in the field of plant construction industry. At present, the implemented CBR system is successfully utilizing as storing, sharing, and reusing knowledge which is accumulated in performing power plant construction projects in the target enterprise.

• Proceedings of the CALSEC Conference
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• 1999.07a
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• pp.95-108
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• 1999

The purpose of this study is to find the diversification of the methodology of KM (knowledge management) Benchmarking which has been developed rapidly as a new managing paradigm all over the world for the 21th century. In particular, at the point of that it has been going to be inevitable for domestic companies to adopt and utilize a knowledge management system as the pending assignment for surviving in the 21th century, this study thus can enable them to support an adoption of KM and suggest directions for companies. Therefore, the successful cases of KM adoption all through the world have been analyzed by this study with the classifications of the industrial fields, work-flows from the view point of learning organizations and information technologies. As a result, the KM type bearing the specific of the respective industry has not been unrolled, and the common element in the analysis of work-flows has been found. Based on the result, it is desirable for the companies to adapt KM, extracting necessary work field for KM. Consequently speaking, they need to benchmark and adopt the KM methodology based on the extracted results.

• International Journal of Computer Science & Network Security
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• v.21 no.6
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• pp.54-60
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• 2021

Monte-Carlo GO is a computer GO program that is sufficiently competent without using knowledge expressions of IGO. Although it is computationally intensive, the computational complexity can be reduced by properly pruning the IGO game tree. Here, I achieve this by using a potential model based on the knowledge expressions of IGO. The potential model treats GO stones as potentials. A specific potential distribution on the GO board results from a unique arrangement of stones on the board. Pruning using the potential model categorizes legal moves into effective and ineffective moves in accordance with the potential threshold. Here, certain pruning strategies based on potentials and potential gradients are experimentally evaluated. For different-sized boards, including an official-sized board, the effects of pruning strategies are evaluated in terms of their robustness. I successfully demonstrate pruning using a potential model to reduce the computational complexity of GO as well as the robustness of this effect across different-sized boards.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.544-551
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• 2002

Tn this paper we propose a systematic methodology for setting up master plans of knowledge management(KM). The proposed methodology is developed based on both the previous KM theories and the experience from industry fields. The methodology is consist of four stages: 1) setting up strategic directions, 2) analyzing the current status, 3) designing KM models, and 4) making KM master plans. We expect that the proposed methodology will be used in the various organizations as an efficient and effective planning tool when setting up master plans of KM.

• Journal of Distribution Science
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• v.13 no.7
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• pp.63-71
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• 2015

Purpose - The characteristics of the modern management environment in Korea clearly involve the limitations of knowledge management, globalization, changes in industrial structures, polarization of the economy, consumption, and education, and the demand for creative management. To achieve a continuous competitive advantage for individuals as well as organizations, Wisdom Management can be said to be a paradigm for the current environment. The Research is an alternative to environmental management in the early study of the need to conceptualize the theoretical approach to wisdom management. In other words, it presents a new management paradigm for a business environment of uncertainty and unpredictability. Furthermore, it aims to propose Wisdom Management as an alternative in the modern management environment as well as a topic of discourse. Its purpose is to provide basic knowledge to people who study and practice in this field to strengthen the competitiveness of individuals and companies. Research design, data, and methodology - This paper first provides six characteristics of the current management environment at home and abroad. It then attempts to emphasize the necessity of wisdom based on such characteristics by classifying wisdom according to recent management study research. This allows the derivation of definitions of wisdom management, suggesting its components and properties. Results - The six characteristics of the modern business environment are: 1) limits of knowledge, 2) intensifying globalized competition, 3) changes in industry structure - IoT (Internet of all Things) trend, 4) serious polarization and social unrest diffusion, 5) personal and organizational competitiveness creativity requirements, and 6) domestic special national and social situations. Therefore, accordingly, wisdom can be defined and classified as: wisdom that offers potential integration beyond knowledge, practicing and maintaining knowledge wisdom as an efficient strategy for an organization wisdom as a decision-making process that addresses ambivalence wisdom as the pursuit of common goods based on ethics; and, wisdom as creativity that involves intuition and insight. This paper attempts to define Wisdom Management in accordance with these definitions of wisdom. Wisdom Management is a management system that is awareof the current environment given in the multidimensional perspective, achieves the efficiency of the organization and the goals of common good through an uncertain decision-making process, based on the organization of individual and organizational knowledge, and the internal experiences and resources. Wisdom Management components include human beings, virtue, knowledge, creativity, and ambivalent thinking. Its properties include intentionality, self-destructiveness, creative and ethical reflexivity, complexity, insight, unpredictability, ambivalence, and wholeness. Conclusions - Since all organizations face the limitations of their environment, crises, and opportunities, applying wisdom in management to develop as Wisdom Management can be an inevitable alternative to the uncertainties of the management environment faced by modern society. The conceptualization of Wisdom Management forms a valuable context to further advance knowledge management theory into practice. It is also a cornerstone of strategic management and can provide insight into its potential for success and implementation.