• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.3
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• pp.649-664
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• 2015

Recently, the risk of security incidents has been increased due to change of IT environment and development of new hacking methods. Event study methodology that measures the effect of a specific security incident on the stock price is widely adopted to analyze the damage cost of security incidents on market value. However, analysis of company's temporary stock price change is limited to immediate practical implication, and reputation loss should be considered as a collateral damage caused by security incidents. We analyzed 52 security incidents of listed Korean companies in the last decade; by refining the criteria presented by Tobin's q, we quantitatively showed that the companies has significantly higher reputation loss due to security loss than the other companies. Our research findings can be used in order that the companies can efficiently allocate its resource and investment for information security.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.3
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• pp.799-808
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• 2016

To find the pattern of personal data leak incidents and confirm which distribution is suitable for, this paper searched the personal data leak incidents reported by the media from 2011 to 2014. Based on result, this research estimated the statistical distribution using the 'K-S Statistics' and tested the 'Goodness-of-Fit'. As a result, the fact that in 95% significance level, the Poisson & Exponential distribution have high 'Goodness-of-Fit' has been proven quantitatively and, this could find it for major personal data leak incidents to occur 12 times in a year on average. This study can be useful for organizations to predict a loss of personal data leak incidents and information security investments and furthermore, this study can be a data for requirements of the cyber-insurance.

• Journal of Agricultural Extension & Community Development
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• v.30 no.2
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• pp.119-129
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• 2023

This study aims to identify the types of safety accidents that occur during maintenance and repair operations and analyze the root causes. We used the logic tree diagramming to extract the root causes of 65 safety incidents specifically related to maintenance and repair work out of a total of 1,024 agricultural safety incidents that occurred between 2007 and 2020 collected by investigation with interviews. The extracted root causes were analyzed by categorizing them into six different safety system classifications. The results of the analysis and suggestions are as follows. Incidents related to maintenance and repair work, which can lead to irreversible safety hazards, have occurred frequently. These incidents were found to be occurring due to the overlapping of various safety system errors such as personal protective system and safety operation procedure. In the short term, it is necessary to emphasize compliance with the use of personal protective equipment, and enhancement of maintenance training. In the long term, it is necessary to establish a legal distinction for maintenance and repair work and clarify the responsible parties. Introducing a maintenance system is also crucial to prevent occupational injuries during maintenance and repair in agriculture.

• Proceedings of the Korean Environmental Health Society Conference
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• 2003.06a
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• pp.9-23
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• 2003

ㆍ These are not accidents ㆍ They are “unplanned incidents” that had multiple, obvious causes(both minor and egregious) ㆍ Prevention would have involved no more than good safety and good management practices ㆍ The outcome was predicable, and included loss of life, loss of prduction capacity, civil lawsuits, and OSHA citations.

• Journal of Navigation and Port Research
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• v.39 no.3
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• pp.149-156
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• 2015

The Dynamic Positioning System consists of 7 elements which are namely Power system, Human machine interface, DP Computer, Position Reference System(PRS), Sensors, Thruster system and DP Operator. Incidents like loss of position(LOP) on DP vessel usually occur due to errors in these 7 elements. The purpose of this study is to find out safety operation method of DP vessel through qualitative and quantitative analyze of DP LOP incidents which are submitted to IMCA every year. The 612 DP LOP incidents submitted from 2001 to 2010 were analyzed to find out the main cause of the incidents and its rate among other causes. Consequently, the highest rate of incidents involving DP elements are PRS errors. DP computer, Power system, Human error and thruster system came next. The PRS has been analyzed and a flowchart was drawn through expert brainstorming. Also, the conditional probability has been analyzed through Bayesian Networks based on this flowchart. Consequentially, the main causes of drive off incidents were DGPS, microwave radar and HPR. Also, this study identified the main causes of DGPS errors through Bayesian Networks. These causes are signal blocked, electric components failure, relative mode error, signal weak or fail.

• Journal of Food Hygiene and Safety
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• v.24 no.2
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• pp.162-168
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• 2009

This study was conducted the analysis of food safety incidents between January 1998 and October 2008 using media reports. Total number of food safety incident was 569 through the study period. The average of food safety incident per year and month was 51.7and 4.9, respectively. The top 10 food types involved in the lists of food safety incidents were as follows; marine products, meat and meat products, confectionaries, beverages, special nutritional food, teas, noodles, soy and bean paste sauces, and milk and milk products etc. The top 10 single foods also were as follows; ready-to eats, meat, confectionary, health support foods, steeping tea, infant formula, meat products, ginseng products, foods for body weight control etc. Of the total 569 incidents, 247 (43.4%) were related with chemical hazards involving pesticide, food additives etc, biological hazards were 126 (22.1 %), and physical hazards were 97 (17.0%) incidents. In analysis stage in the food chain at which breakdown in food safety occurred, primary production were the most common stage with 364 (64%) incidents, and incidents at the manufacture handling and distribution stages were with 151 (26.5%), and 44 (7.7%), respectively. The results of this study can be used as a better data for risk analysis or food safety strategies.

• Journal of Food Hygiene and Safety
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• v.27 no.3
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• pp.203-208
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• 2012

In the present study, we collected the information of the 18 major food safety incidents and conducted a delphi survey with 10 experts to analyze the effect of difference between terms used in reporting of the major food safety incidents on risk communication. In the result of the analysis of information from the major food safety incidents, discord of terms used from government, local government, media and consumer groups had a tremendous effect on the socioeconomic losses and caused the expansion of the incidents. The survey with 10 experts showed that there was a high correlation between the difference in ripple effect of reporting terms and the difference in reporting terms. A correlation coefficient was 0.865. Therefore, ripple effect of incidents was significantly affected by reporting terms and we concluded that standardization of term is necessary in reporting of the food safety incidents. These results can be used as a basic material for successful risk communication among the government, enterprises and consumers.

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.4
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• pp.408-414
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• 2018

Various studies have been conducted to reduce marine accidents. However, research on marine incidents is only marginal. There are many reports of marine incidents, but the main content of existing studies has been qualitative, which makes quantitative analysis difficult. However, quantitative analysis of marine accidents is necessary to reduce marine incidents. The purpose of this paper is to analyze marine incident data quantitatively by applying big data techniques to predict marine incident trends and reduce marine accident. To accomplish this, about 10,000 marine incident reports were prepared in a unified format through pre-processing. Using this preprocessed data, we first derived major keywords for the Marine incidents at sea using text mining techniques. Secondly, time series and cluster analysis were applied to major keywords. Trends for possible marine incidents were predicted. The results confirmed that it is possible to use quantified data and statistical analysis to address this topic. Also, we have confirmed that it is possible to provide information on preventive measures by grasping objective tendencies for marine incidents that may occur in the future through big data techniques.

• Journal of Korean Elementary Science Education
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• v.30 no.1
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• pp.61-70
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• 2011

In this study, we examined the types and the characteristics of elementary school teachers' strategies for coping with critical incidents in science classes. Teachers' epistemological beliefs about science were then investigated on the bases of the types of their coping strategies. The teachers (N=107) in 23 elementary schools were asked to respond to an open-ended question about the critical incidents they had experienced in science classes and how to cope with them. Seven types of coping strategies were identified as follows: avoiding, reinterpretation, adjusting, prevaricating, justifying, exploring, and explaining. Among them, adjusting and justifying were the major strategies. In order to classify teachers' epistemological beliefs about science, their coping strategies were grouped into four categories such as transferring facts, constructing facts, transferring meanings, and constructing meanings. The results indicated that most teachers still possessed traditional epistemological beliefs about science. The potential of critical incidents as a probe for revealing teachers' epistemological beliefs about science is discussed.

• Quality Improvement in Health Care
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• v.23 no.1
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• pp.11-23
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• 2017

Root Cause Analysis (RCA) has been widely used as a structured approach to investigate patient safety incidents. RCA helps identify what, how, and why something happened, therefore preventing recurrence of incidents. Since many quality tools can be used during RCA, various formats of RCA exist. If RCAs are performed incorrectly or incompletely, they are likely to produce unusable results. To address this issue, RCA software has been developed. The use of RCA software in investigating patient safety incidents may offer several advantages, such as potential reduction in learning time, shortening of the analytic process, facilitation of collection, analysis, and presentation of data and production of meaningful RCA reports. We introduced six healthcare RCA software and compared characteristics. Results from this study will enable the RCA team to choose proper RCA software.