• Korean journal of food and cookery science
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• v.26 no.5
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• pp.511-520
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• 2010

The purpose of this article was to study how the 7Ps influence consumers' risk perception of eating at family restaurants in Seoul. In this study, frequency analysis, reliability analysis, factor analysis and path analysis (SEM) of the data were performed. First, reliability analysis confirmed that the 7Ps performance and risk data could be used in this investigation. Path analysis showed that the 7Ps significantly influenced customers' risk perception of eating at restaurants in Seoul. According to the results, product negatively influenced performance risk (p<0.05) and financial risk (p<0.001); price negatively influenced performance risk (p<0.001), financial risk (p<0.001), and time risk (p<0.01); place negatively influenced performance risk (p<0.01) and time risk (p<0.001); promotion negatively influenced financial risk (p<0.05) and time risk (p<0.001); process negatively influenced performance risk (p<0.001) and time risk (p<0.001); physical evidence negatively influenced performance risk (p<0.05) and financial risk (p<0.001); and people negatively influenced performance risk (p<0.05), financial risk (p<0.001), and time risk (p<0.001). As a result, we confirmed that 7Ps were an effective marketing tactic for reducing consumers' risk perception of eating at restaurants. Therefore, family restaurant companies are recommended to administer the 7Ps without additional cost.

• International Journal of Highway Engineering
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• v.16 no.3
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• pp.59-66
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• 2014

PURPOSES : This study is to suggest heavy snow risk analysis in Seoul. METHODS : Recently, the increase of extreme weather caused by global warming raises the occurrences of unpredictable natural disasters and the loss potential of human disasters by land use facilities accumulation. It is necessary to develop the risk analysis for the natural and human disasters. RESULTS : In this study, heavy snow risk analysis among natural disasters in Seoul was suggested. The spatial unit of risk analysis level was established for the lines and administrative districts. CONCLUSIONS : The risk analysis was performed using risk matrix of disaster occurrence score and disaster damage score. The components affecting the risk disaster analysis by types were analyzed and the application of heavy snow risk analysis was suggested.

• Safe Food
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• v.2 no.2
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• pp.11-18
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• 2007

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1364-1369
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• 2009

The building construction projects include a variety of risk factors due to uncertainties. To succeed in the projects, it is important how risks are managed. Risk management is composed of identification, analysis and response. Especially, the risk analysis is important to objectively calculate significance of risk factors. This paper evaluates a method to find priorities of risks using the AHP(Analytic Hierarchy Process). The method has some defects; (1) the consistency becomes weak as the number of pair-wise compared risks is large, and (2) the input and output procedures are complex when risks are added to or removed from a risk database. Thus the paper adopt the PROMETHEE(Preference Ranking Organization METHod Enrichment Evaluations) analysis process which is able to overcome the limitation of the AHP restricted to 9 risk factors. The PROMETHEE method makes the procedure of risk analysis simple, when the risk factors pull out and put in the risk database. The purpose of this study is to prove the possibility of the PROMETHEE analysis process by being compared with AHP.

• Proceedings of the Safety Management and Science Conference
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• 2006.04a
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• pp.513-523
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• 2006

This paper is to introduce guidelines for risk management and analysis. International tandards such as IEC 60300-3-9, IEC 61511-3, ISO 14971-1 and ISO/IEC Guide 73 are considered. This study is to discuss risk analysis of technological systems, and guidelines in the application of hazard and risk analysis for functional safety instrumented system, and risk management of medical devices, and guidelines for use in risk management standards.

• Proceedings of the Korean Society of Toxicology Conference
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• 2005.05a
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• pp.206-206
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• 2005

• Proceedings of the Korean Society of Toxicology Conference
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• 2005.05a
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• pp.207-207
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• 2005

• Journal of the Korea Safety Management & Science
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• v.19 no.4
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• pp.133-140
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• 2017

The Ministry of Science, ICT and Future Planning made law for Pre-Hazard Risk Analysis in December 31, 2014 to protect researchers from continuing accidents in laboratory. Conducted before an experiment, Pre-Hazard Risk Analysis finds hazards of the experiment and rules to manage the hazards.So the Pre-Hazard Risk Analysis can support laboratory safety system by prevent accidents in laboratory. Pre-Hazards Risk Analysis is newly created system so that executors need Guidelines to perform this analysis properly. This study is to develop guide tool for Pre-Hazard Risk Analysis by analyzing other risk assessment systems; PSM, Off-site Consequence Assessment, laboratory safety system. Also, this study suggested how to establish database for Pre-Hazard Risk Assessment by analyse KRAS.

• Ocean Systems Engineering
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• v.9 no.3
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• pp.261-285
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• 2019

Nowadays in offshore industry there are emerging hazards with vague property such as act of terrorism, act of war, unforeseen natural disasters such as tsunami, etc. Therefore industry professionals such as offshore energy insurers, safety engineers and risk managers in order to determine the failure rates and frequencies for the potential hazards where there is no data available, they need to use an appropriate method to overcome this difficulty. Furthermore in conventional risk based analysis models such as when using a fault tree analysis, hazards with vague properties are normally waived and ignored. In other word in previous situations only a traditional probability based fault tree analysis could be implemented. To overcome this shortcoming fuzzy set theory is applied to fault tree analysis to combine the known and unknown data in which the pre-combined result will be determined under a fuzzy environment. This has been fulfilled by integration of a generic bow-tie based risk analysis model into the risk assessment phase of the Risk Management (RM) cycles as a backbone of the phase. For this reason Fault Tree Analysis (FTA) and Event Tree Analysis (ETA) are used to analyse one of the significant risk factors associated in offshore terminals. This process will eventually help the insurers and risk managers in marine and offshore industries to investigate the potential hazards more in detail if there is vagueness. For this purpose a case study of offshore terminal while coinciding with the nature of the Caspian Sea was decided to be examined.

• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.5
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• pp.690-704
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• 2014

This study examined the risk perception in internet shopping by Chinese and analyzed the effects of risk perception on internet word-of-mouth acceptance and transmission. This analysis was conducted with data collected from 373 Chinese individuals in their 20s. Data were analyzed with factorial analysis, cluster analysis, ANOVA, multiple regression analysis, Chi-square test, and Cronbach's ${\alpha}$ using SPSS 18.0. The results were: 1) The factor analysis of risk perception extracted four factors: fashion/social psychological risk, product risk, transaction risk, and economic risk. The cluster analysis classified them into: Group with low-risk, Group with high-risk, Group with economic risk, and Group with medium-risk. 2) Group with high-risk and Group with economic risk had a higher word-of-mouth acceptance than other groups. The Group with a high-risk had more word-of-mouth transmission than other groups. 3) It was found that when word-of-mouth was accepted, the factual information about fashion products (size and material) was most referred to, and that the overall evaluation of satisfaction and dissatisfaction was most conveyed when word-of-mouth was conveyed. 4) Internet word-of-mouth acceptance was affected by product risk, economic risk, and transaction risk. Internet word-of-mouth transmission was affected by economic risk, and fashion/social psychological risk, product risk, and transaction risk.