• Journal of the Ergonomics Society of Korea
• /
• v.23 no.3
• /
• pp.53-72
• /
• 2004

Today we are observing a lot of injuries, casualties, and property losses that are mainly caused by the defects of products. In order to derive safety designs, which minimize the possibility of such product liability-related accidents, we need to take into account the user-product interaction as an important part of the danger factor analysis. Existing risk analysis techniques, however, have some limitations in detecting comprehensive danger factors that are peculiarly involved in human errors and the functional defects of products. Researches on danger factor analysis regarding the user-product interaction have been carried out actively in ergonomics. In this paper, we suggest a novel product risk analysis technique, which is more objective and systematic compared to the previous ones, by combining a modified TAFEI (Task Analysis For Error Identification) technique with SASA (Systematic Approach to Accident Scenario Analysis) technique. By applying this technique to the product design practice in industry, corporations will be able to improve the product safety, consequently strengthening the competitiveness.

• Journal of Environmental Health Sciences
• /
• v.35 no.4
• /
• pp.269-277
• /
• 2009

Objective : The objective of this study was to examine how experts and the public perceived various environmental and technological hazards based on psychometric paradigm. Methods : We conducted a survey that included 30 hazards and 10 risk attributes. Subjects of this study were 214 people with three groups; (1) experts (55 people), (2) graduates( 78 people), (3) under graduates (81 people). Factor analysis was used to confirm the common risk attribute from 8 risk attributes. Also, multiple regression analysis was used to identify factors influencing on perceived risk and benefit of hazards. Results : This study revealed that experts tend to be more tolerant than graduates and under graduate students for the 30 hazards. Using factor analysis, two main factors were identified: factor 1, commonly called "Dread Risk", and factors 2, commonly called, "Unknown Risk" in the literature. We identified that environmental hormone concentration and global warming ranked high in both dread risk and unknown risk. Multiple regression models were used to test the association of perceived social risk and perceived social benefit with two main factors. Dread risk had significant explanatory power on perceived social risk and benefit. We identified that the experts were less likely to perceived dread risk and know more information about the hazards. Conclusions : There were differences of risk perception between experts and lay people. Especially, experts' perception of risk was commonly lower than other people's perception.

• Environmental Analysis Health and Toxicology
• /
• v.25 no.3
• /
• pp.187-195
• /
• 2010

Nanotechnology is the fastest growing area in scientific research and it has important applications in a wide variety of fields. Nevertheless, consumers encountered this new technology without any identification of risks and benefits. Also until now, there are no specific safety evaluation methods for nanotechnology. For this reason, we studied risk communication strategy for nanotechnology to prepare its application in commercialized products on public. A survey was conducted to identify the differences in perception between public (N=110) and expert (N=37) toward applied nanotechnology in food, drugs and cosmetic products. The survey results were used to draw up a risk cognitive map which was introduced by Paul Slovic, and the perception level of public and expert on nanotechnology was evaluated. As a result of the survey, public recognized nanotechnology as "unknown but low dread" risk factor, but expert recognized it as "unknown and high dread" risk factor. These results indicate that there are perception differences between two groups. Several risk communication strategies are reported including care, consensus and risk communication. In the case of nanotechnology, it contains both risks and benefits. Considering the nature of nanotechnology, the "consensus communication" which informs consumers about risks and benefits of issues is the most appropriate strategy.

• Culinary science and hospitality research
• /
• v.23 no.6
• /
• pp.118-126
• /
• 2017

The purposes of this study were to estimate the relationship between Big 5 personality factors of prep-entrepreneur and entrepreneurial intention, and to identify the moderating effects of risk sensitivity on the relationship. There is a total of 181 questionnaire surveys distributed and 152 data were used for analysis with erasing incomplete responses. The data analysis was conducted to utilize frequency analysis and regression analysis with SPSS WIN 22.0. The results of this study demonstrated that there are only 2 factors, neuroticism and extraversion, significantly influence on entrepreneurial intention, while conscientiousness, agreeableness and openness to experience do not have significant impacts on entrepreneurial intention. Furthermore, risk sensitivity effects on the relationship between Big-5 personality factor and entrepreneurial intention. This study may contribute to help prep-entrepreneur by using baseline data. Prep- entrepreneur could know their personality factor and confirm their consideration about entrepreneurial intention. Meanwhile, for the market-oriented implication, this study suggested that it is instrumental and significant for knowing prep-entrepreneur's personality factor and their entrepreneurial intention before starting foodservice business.

• Journal of the East Asian Society of Dietary Life
• /
• v.25 no.4
• /
• pp.691-702
• /
• 2015

This study examined the levels of risk perception of food risk elements by adopting a psychometric paradigm and analyzed factors affecting concerns about food risk elements to obtain basic materials for food safety policy. The data were collected from 296 housewives in Daegu, Korea, by a self-administered questionnaire. Frequency distributions, Pearson's correlation coefficient analysis, factor analysis, Cronbach's ${alpha}$, and multiple regression analyses were conducted by SPSS 21.0. The mean level of concern for food safety was 3.75/5.00 points, and the mean percentage of correct answers about heavy metal contamination was highest among food risk elements. The respondents perceived radioactive contaminated foods, GM foods, and endocrine disruptors as a new, delayed, scientifically unknown, involuntary, serious, and uncontrollable risk in risk perception. According to the result of factor analysis for risk perception, two factors such as non-controllability and dread were categorized. In the risk perception map, radioactive contaminated foods and GM foods were considered as an uncontrollable and dreaded risk, heavy metal contamination, endocrine disruptors, and pesticide residues as a controllable and dreaded risk, and foodborne illness and food additives as a controllable and less dreaded risk. On the other hand, the levels of concerns about food risk elements were higher in order of radioactive contaminated foods, GM foods, and endocrine disruptors. The results of multiple regression analysis showed that age, concern for food safety, percentage of correct answers about food risk elements, non-controllability, and dread influenced the concerns about food risk elements. These results imply that food safety policies should consider differences in consumer's risk perception of food risk elements.

• Journal of Digital Convergence
• /
• v.15 no.7
• /
• pp.415-424
• /
• 2017

The purpose of this study was to examine the relationship among public's risk characteristics, risk severity, risk perception and risk acceptability of human stem cell technology. The subjects were 300 Koreans selected. The data were analyzed by the exploratory factor analysis, confirmatory factor analysis, correlation analysis and structural equation modeing analysis. The results were as followed. First, public's risk characteristics on human stem cell technology influenced positively on risk severity. Second, public's risk characteristics on human stem cell technology influenced positively on risk perception. Third, public's risk severity on human stem cell technology influenced positively on risk perception. Fourth, public's risk characteristics on human stem cell technology influenced negatively on risk acceptability. Fifth, public's risk severity on human stem cell technology influenced not significantly on risk acceptability. Sixth, public's risk perception on human stem cell technology influenced not significantly on risk acceptability. These results will contribute to develop the risk communication strategy on the acceptability of human stem cell technology.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2019.05a
• /
• pp.246-247
• /
• 2019

This study was conducted to provide useful information to enable planned repair and cost planning during the operation and maintenance phase of aged multi-family housing. For this purpose, The concept of probabilistic maintenance cost analysis considering the risk factors of the aged multi-family housing is presented in the following six steps. 1. Risk factor investigation and analysis 2. Classification and deriving of maintenance cost 3. Investigation and deriving cost maintenance cost of old apartment house 4. Analysis of expert questionnaire 5. Analysis of Monte -Carlo simulation 6. Probabilistic maintenance cost Deriving the result. This study has limitations that need to be verified by applying actual data.

• Journal of Information Technology Services
• /
• v.13 no.2
• /
• pp.185-194
• /
• 2014

Recently, as value for practical use of big data is evaluated, companies and organizations that create benefit and profit are gradually increasing with application of big data. But specifical and theoretical study about possible risk factors as introduction of big data is not being conducted. Accordingly, the study extracts the possible risk factors as introduction of big data based on literature reviews and classifies according to big data processing, data collection, data storage, data analysis, analysis data visualization and application. Also, the risk factors have order of priority according to the degree of risk from the survey of experts. This study will make a chance that can avoid risks by bid data processing and preparation for risks in order of dangerous grades of risk.

• Asian Pacific Journal of Cancer Prevention
• /
• v.14 no.9
• /
• pp.4965-4972
• /
• 2013

This study aimed to discuss the consumption of alcohol as a risk factor for major cancers. We performed a search in the PubMed database, using the following inclusion criteria: meta-analysis published in English in the last 10 years that addressed the relationship between alcohol and the risk of developing cancer. The results indicate that moderate to heavy consumption of alcohol increases the risk of developing cancer of the oral cavity and pharynx, esophagus, stomach, larynx, colorectum, central nervous system, pancreas, breast and prostate. This review did not find any association between alcohol consumption and an increased risk of cancers of the lung, bladder, endometrium and ovary. It was also observed that alcohol consumption may be inversely related to thyroid cancer. Our systematic review has confirmed consumption of alcohol as a risk factor for the development of several types of cancer.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• 2008.11a
• /
• pp.517-520
• /
• 2008

The city refreshing development projects in the domestic recently have been performed under leading of public institution laying stress on new city and existing urban district. These development projects are still staying in safety control level despite risk factor management at preliminary estimation stage has been more important factor to success and add value creation. Understanding inaccurately about various risk analysis techniques that can analyze risk factors and the insufficient application of step that can analysis technique s could make projects more difficult. Therefore, this research suggests the more effective methods for risk analysis that can control the risks in the pre-project evaluation stage.