• Title, Summary, Keyword: Risk analysis

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Influence of Service Marketing-Mix(7Ps) on Consumers' Risk Perception of Eating at Family Restaurants in Seoul (서울지역 패밀리레스토랑의 서비스마케팅믹스(7Ps)성과가 고객의 구매위험인지에 미치는 영향)

  • Yoon, Tae-Hwan
    • 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.

Suggestion of Heavy Snow Risk Analysis in Seoul (서울시 폭설위험도 평가방안)

  • Lee, Sukmin;Bae, Yoon-Shin;Park, Jihye
    • 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.

Guidelines for Risk Management and Analysis (리스크 관리 및 분석 지침)

  • Choi Sung-Woon
    • Proceedings of the Safety Management and Science Conference
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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.

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A Study on Development of Pre-Hazards Risk Analysis Guide Tool (연구실 위험분석을 위한 사전유해인자 가이드 Tool 개발 연구)

  • Choi, Byeong Kyu;Rhie, Kwang Won
    • Journal of the Korea Safety Management and 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.

The Effects of Risk Perception on e-WOM in Internet Shopping of Chinese Consumers in Their 20s (중국 20대 소비자들의 인터넷 쇼핑 위험지각이 구전(e-WOM)에 미치는 영향)

  • Xu, Chao;Park, Hye Sun
    • 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.

Risk analysis of offshore terminals in the Caspian Sea

  • Mokhtari, Kambiz;Amanee, Jamshid
    • 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.

A Study on Quantitative Software Risk Management Methodology applied Risk Analysis Model (위험분석 모델을 적용한 정량적인 소프트웨어 위험관리 방법론에 관한 연구)

  • Eom, Jung Ho;Lee, Dong Young;Chung, Tai M.
    • Journal of the Korea Society of Digital Industry and Information Management
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    • v.5 no.2
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    • pp.133-140
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    • 2009
  • In the paper, we proposed the systematical and quantitative software risk management methodology based on risk analysis model. A software risk management consists of the basic risk management method(BRIMM) and the detailed risk management method(DRIMM). BRIMM is applied to unimportant phases or the phase which also the risk factor does not heavily influence to project. DRIMM is used from the phase which influences highly in project success or the phase where the risk factor is many. Fulfilling risk management combined two methods, we can reduce project's budget, term and resource's usage, and prevent risk with the optimum measures obtained by the exact risk analysis.

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