• Knowledge Management Research
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• v.9 no.1
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• pp.129-146
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• 2008

The purpose of this study is to examine the effect of knowledge management on the organizational performance by using structural equation model and to suggest new integrated framework about knowledge management by understanding the determinants of organizational capability to knowledge management in social capital point of view. To serve the purpose of this study, we conducted the extensive survey on 256 Korean companies in diverse industries including the manufacturing. Specifically, from the empirical result of this study, we identified that knowledge management performs more actively as the level of social capital increases, and the company that achieve knowledge management actively shows relatively higher performance than one that do not. On the other hand, among the sub-factors composing the social capital, Vision/Purpose/Value and Norms of Reciprocity directly affect to the organizational performance without knowledge management.

• Knowledge Management Research
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• v.17 no.4
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• pp.191-213
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• 2016

Since the smartphone era has spurred world-over, social network services have become a part of people's daily lives. However, this relatively new phenomenon of technology development raises several negative side effects such as cyberbullying. One of the representative cases of cyberbullying is posting malicious comments online. Multiple social issues arising from this have given impetus to the "benevolent comments campaign" in order to restrain the diffusion of malicious comments. Benevolent comments have advantages that generate positive externalities such as inspiring ethics for an appropriate internet culture, but there is a lack of theoretical research on the deeper understanding of posting benevolent comments. This study thus aims to extract the motivations behind posting benevolent comments through in-depth interviews and suggest alternatives for relative issues through the causal relationship diagram of the system dynamics methodology. This work contributes to our understanding of the factors that affect the increase and decrease in benevolent comments in distinct structural frameworks.

• Korean Journal of Child Studies
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• v.28 no.2
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• pp.55-70
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• 2007

This study used path analysis to investigate causal effects of creative home environment and emotional and cognitive variables on children's creative thinking and characteristics. the subjects were 233 5- and 6-year-old children, their mothers and teachers in the City of Taegu and Kyungpook Province. Major results were that (1) creative home environment directly affected children's creative thinking, creative characteristics and motivation. (2) Children's motivation directly affected children's creative characteristics. (3) Children's temperament directly affected motivation and indirectly affected children's creative characteristics through motivation. (4) Children's intelligence directly affected knowledge, and indirectly affected children's creative thinking through knowledge.

• Korean Journal Plant Pathology
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• v.10 no.2
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• pp.99-104
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• 1994

A computer-based diagnosing system for diseases of grasses, ornamental plant and fruit trees was developed using a 16 bit personal computer (Model Acer 900) and BASIC was used as a programing language. the developed advisory system was named as Korean Plant Disease Advisory System (KOPDAS). The diagraming system files were composed of a system operation file and several database files. The knowledge-base files are composed of text files, code files and implement program files. The knowledge-base of text files are composed of 79 files of grasses diseases, 122 files of ornamental plant diseases and 67 files of fruit tree diseases. The information of each text file include disease names, causal agents, diseased parts, symptoms, morphological characteristics of causal organisms and control methods for the diagnosing of crop diseases.

• Journal of the Korean Society of Safety
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• v.35 no.2
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• pp.34-46
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• 2020

Unlike research focused on existing technologies and individual errors to analyze the causes of incidents, this study approached them from an organization and culture. And this study is not a one way study but cyclical study what can track cause down using causal loop diagram methodology. Four diagnostic criteria for the negative state of the safety culture : secretive, blame, failure to learning, and incremental learning, combine literature study and expert opinion to derive 41 variables. Connecting these variable make 4 causal loop diagrams and total causal loop diagram. Case accumulation in secretive, accident report in blame, knowledge accumulation in failure to learning, near miss discovery in incremental learning are the main variables. Safety incident is the objective variable by classifying them into 4 stages in total loop, leading track as the most affect is case accumulation, and Step 4 as you can see accident report and near miss discovery are the result of tracking down the cause. This study can be used as a basis for improving the management priority and the system in incident prevention.

• Journal of Science and Technology Studies
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• v.2 no.1 s.3
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• pp.157-189
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• 2002

Science and technology policy a lot of implicit usjustified assumptions. These assumption without being reflected may cause various social problems. In this paper, lit is shown that philosophy of science could make contribution to resolving these problems. In epistemological viewpoints, theory of science and technology policy has been analyzed. I argue that social kinds, social entities appeared in social science should be interpreted realisticaly. Realizing this realistic interpretation of social kinds, as one field of social sciences, theory of science and technology policy can deal with the causal relation among social entities and the causal influence of science and technology policy more objectively- scientific knowledge has two components. One belongs to coded knowledge and the other belong to tacit knowledge which cannot be coded. I analyze the content and characters of tacit knowledge appeling to Michael Polany. One of the important function of science and technology policy is to make tacit knowledge more fruitful. I argue that philosophy of science fit well this function. Finally I claim that philosophy of science can help science and technology policy to reduce the ethical problems caused by science and technology.

• The Journal of Information Systems
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• v.15 no.1
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• pp.191-213
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• 2006

The purpose of this research is to identify the structure among determining factors focusing on knowledge transfer and analyze and prove the causal relation on knowledge transfer in Korean companies and public corporations. The results from the analysis of data collected in this study are as follows. First, forum among organization related factors has the positive relation with uncertainty in a significant level. Second, the higher the knowledge presentation and the ease of use are among information systems related factors, the lower the ambiguity and uncertainty are. Third, among process related factors, unification has the negative relation with ambiguity and uncertainty in a significant level. Fourth, a better manpower employment contributes to a worse ambiguity and uncertainty. Fifth, ambiguity has a negative relation with knowledge transfer. In conclusion, the factors that lower the ambiguity and facilitate knowledge transfer include information systems, unification, and manpower employment. These factors, however, influence on uncertainty, which turns out to be nothing to do with knowledge transfer.

• Journal of the Ergonomics Society of Korea
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• v.32 no.6
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• pp.535-540
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• 2013

Objective: The aim of this study is to evaluate the effectiveness and efficiency of causal links between various error causes in human error analysis. Background: As finding root causes of human error in safety-critical systems is often a cognitively demanding and time-consuming task, it is particularly necessary to develop a method for improving both the quality and efficiency of the task. Although a few methods such as CREAM have suggested causal linking between error causes as a means to enhance the quality and efficiency of human error analysis, no published research to date has evaluated the performance of the causal links. Method: The performance of the CREAM links between error causes were evaluated with 80 railway accident investigation reports from the UK. From each report, errorneous actions of operators were derived, and for each error, candidate causes were found by following the predefined links. Two measures, coverage and selectivity, were used to evaluate the effectiveness and efficiency of the links, respectively. Results: On average, 96% of error causes actually included in the accident reports were found by following the causal links, and among the total of 121 possible error causes, the number of error causes to be examined further was reduced to one-tenth on average. As an additional result of this work, frequent error causes and frequently used links are provided. Conclusion: This result implies that the predefined causal links between error causes can significantly reduce the time and effort required to find the multiple levels of error causes and their causal relations without losing the quality of the results. Application: The CREAM links can be applied to human error analysis in any industry with minor modifications.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.10a
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• pp.568-571
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• 2004

In this study, we propose an efficient expert system (ES) construction mechanism by using dynamic knowledge map (DKM) and database management systems (DBMS). Generally, traditional ES and ES developing tools has some limitations such as, 1) a lot of time to extend the knowledge base (KB), 2) too difficult to change the inference path, 3) inflexible use of inference functions and operators. First, to overcome these limitations, we use DKM in extracting the complex relationships and causal rules from human expert and other knowledge resources. Then, elation database (RDB) and its management systems will help to transform the relationships from diagram to relational table. Therefore, our mechanism can help the ES or KBS (Knowledge-Based Systems) developers in several ways efficiently. In the experiment section, we used medical data to show the efficiency of our mechanism. Experimental results with various disease show that the mechanism is superior in terms of extension ability and flexible inference.

• Journal of the Korean Operations Research and Management Science Society
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• v.40 no.4
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• pp.65-81
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• 2015

As research management is growing in importance for research organizations, their disciplinary structures need to be interpreted. However, it is not only difficult but ambiguous to detect causal relations between subjects because diverse disciplines interacting with each other lead the development of organizational research. Therefore, this article summarizes the major concepts and results recently achieved in the related fields such as research management, bibliographic analysis, information theory, and networks to characterize organizational knowledge structures. Relevant analytical methods obtained from the literature can be applied to empirical situations. Predictive causal relations can be measured using an information theoretic indicator on a series of organizational research portfolios identified from bibliographic information. A network approach would be suitable to manage organizational research effort from a holistic view. Knowledge structures of the Government-funded Research Institutes in Korea are explored experimentally.