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

• The Journal of the Korea Contents Association
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• v.13 no.4
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• pp.198-207
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• 2013

This study was to examine the effects of risk characteristic and risk perception on risk severity of natural disaster. The findings showed that the risk severity of natural disaster were classified into geographical disaster, storm and flood damage, drought damage. Typhoon among storm and flood damage showed high scores on risk severity of natural disaster. Moreover participants showed high scores on unfamiliar, undiscoverable, and unknown by scientific knowledge among risk characteristic of natural disaster. Second, risk characteristic was significantly correlated to risk perception. Third, risk characteristic influenced positively on risk severity of natural disaster. Especially, risk characteristic had great effect on storm and flood damage among natural disaster. Fourth, risk perception influenced positively on risk severity of natural disaster. Especially, risk perception had great effect on storm and flood damage among natural disaster.

• Annals of Occupational and Environmental Medicine
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• v.35
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• pp.35.1-35.11
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• 2023

Background: Cardio-cerebrovascular diseases (CVDs) are the most common cause of death worldwide. Various CVD risk assessment tools have been developed. In South Korea, the Korea Occupational Safety & Health Agency (KOSHA) and the National Health Insurance Service (NHIS) have provided CVD risk assessments with health checkups. Since 2018, the KOSHA guide has stated that NHIS CVD risk assessment tool could be used as an alternative of KOSHA assessment tool for evaluating CVD risk of workers. The objective of this study was to determine the correlation and agreement between the KOSHA and the NHIS CVD risk assessment tools. Methods: Subjects of this study were 17,485 examinees aged 20 to 64 years who had undergone medical examinations from January 2021 to December 2021 at a general hospital. We classified subjects into low-risk, moderate-risk, high-risk, and highest-risk groups according to KOSHA and NHIS's CVD risk assessment tools. We then compared them with cross-analysis, Spearman correlation analysis, and linearly weighted kappa coefficient. Results: The correlation between KOSHA and NHIS tools was statistically significant (p-value < 0.001), with a correlation coefficient of 0.403 and a kappa coefficient of 0.203. When we compared risk group distribution using KOSHA and NHIS tools, CVD risk of 6,498 (37.1%) participants showed a concordance. Compared to the NHIS tool, the KOSHA tool classified 9,908 (56.7%) participants into a lower risk category and 1,079 (6.2%) participants into a higher risk category. Conclusions: In this study, KOSHA and NHIS tools showed a moderate correlation with a fair agreement. The NHIS tool showed a tendency to classify participants to higher CVD risk group than the KOSHA tool. To prevent CVD more effectively, a higher estimation tool among verified CVD risk assessment methods should be selected and managements such as early intervention and treatment of risk factors should be performed targeting the high-risk group.

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.3
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• pp.302-310
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• 2018

Despite the accident rate for fishing vessels accounts for 70% of all maritime accidents, few studies on such accidents have been done and most of the them mainly focus on causes and mitigation policies to reduce that accident rate. Thus, this risk analysis on sea accidents is the first to be performed for the successful and efficient implementation of accident reducing measures. In risk analysis, risk is calculated based on the combination of frequency and the consequence of an accident, and is usually expressed as a single number. However, there exists uncertainty in the risk calculation process if one uses a limited number of data for analysis. Therefore, in the study we propose a probabilistic simulation method to forecast risk not as a single number, but in a range of possible risk values. For the capability of the proposed method, using the criteria with the ALARP region, we show the possible risk values spanning across the different risk regions, whereas the single risk value calculated from the existing method lies in one of the risk regions. Therefore, a decision maker could employ appropriate risk mitigation options to handle the risks lying in different regions. For this study, we used fishing vessel accident data from 1988 to 2016.

• Asian Journal for Public Opinion Research
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• v.1 no.3
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• pp.217-231
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• 2014

This study begins with a review of commonly discussed dimensions of public risk perception that may influence public opinion toward risks. Factors that have been revealed by the literature to have substantial impact on risk perception, such as demographic background, trust, and media environment, are also discussed. Meanwhile, we evaluate two well-known research models in the realm of risk analysis: 1) the psychometric paradigm, and 2) the social amplification of risk framework (SARF). Based on a literature review, this study suggests that, besides the psychological and social approach, models of risk perception and risk communication research should shift to a more comprehensive one by considering the interrelations between laypeople and the environment. This study proposes a research model from the perspective of social cognitive theory (SCT) as a potential framework for future studies: 1) in the societal environment, individuals' risk perception and information seeking behavior, which is determined by risk perception will be influenced by trust in regulators and interpersonal trust; 2) in the media environment, individuals' risk perception and information seeking behavior will be influenced by individuals' perceived information characteristics. Knowledge about risk accumulated through information seeking will change risk perception in a longitudinal process.

• Fashion & Textile Research Journal
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• v.10 no.5
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• pp.618-624
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• 2008

The purposes of this study were to explore the perceived risk of smart clothing, to classify consumers by risk perception of smart clothing, and to investigate the differences among the segmented groups in regard to the evaluation of newness and innovativeness of smart clothing. In addition, the relationship among perceived risk, evaluation of newness and innovativeness of smart clothing were examined. A questionnaire was administered to 338 male and female subjects aged from 17 to 50. Analysis was performed by factor analysis, cluster analysis, ANOVA, and Pearson's correlation analysis. The results showed that the perceived risk of smart clothing was composed of 4 factors: economic risk, social risk, functional risk and physical risk. Consumers were classified into four groups: high risk perception group, low economic risk perception group, low functional risk perception group, and low social risk perception group. ANOVA showed that there were significant differences among four groups regard to the evaluation of newness and innovativeness of smart clothing. High risk perception group most highly evaluated the newness and innovativeness of smart clothing. There were positive correlation among the perceived risks, the evaluation of the newness and innovativeness of smart clothing.

• Journal of Distribution Science
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• v.12 no.9
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• pp.73-82
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• 2014

Purpose - This study aims to illustrate the relationship between demographic factors and perceived risk types, supposing that Korean customers tend to postpone buying or hesitate to purchase the new version of hand sets, because of an early buying risk. Research design, data, and methodology - In addition to existing perceived risk types, the authors introduced an early buying risk. In order to measure each variable, also, the study has employed a five-point Liker-scale. To increase research reliability and validity, the research adopted an exploratory factor analysis, a confirmatory factor analysis, and one-way ANOVA. Results - First, there were statistically significant differences between financial risk and the group. Second, there weren't any statistically significant differences between the group means among the four perceived risk types (Performance Risk, Social Risk, Psychological Risk, and Physical Risk) and 4 factors (Gender, Age, Job, and Education). Lastly, job is apparently differentiated from others (Gender, Age, and Education). Conclusions - The authors found that customers regarded an early buying risk as one of the important perceived risk types, when purchasing a hand set.

• Fashion & Textile Research Journal
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• v.17 no.2
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• pp.216-226
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• 2015

This study identifies factors of perceived risk of up-cycling fashion products and investigates perceived risk factors that influence consumers' trust, purchase intention, and recommendation intention towards upcycling fashion products. We also examine the relationship of trust, purchase intention, and recommendation intention for upcycling fashion products. A qualitative research method using a free narrative form and depth interview were used. The perceived risk from up-cycling fashion products generated 5 factor solutions: aesthetic risk, sanitary risk, social risk, performance risk, and economic risk. Next, 201 effective data were collected from a questionnaire survey and analyzed with SPSS 22.0. The results are summarized as follows. First, aesthetic risk and performance risk had a negative effect on products. Second, aesthetic risk and performance risk had negative influence on purchase intention for upcycling fashion products. Third, performance risk had a negative impact on recommendation intention for upcycling fashion products. Fourth, trust had positive effect on purchase intention and recommendation intention for upcycling fashion products. The results of the current study provides various theoretical and practical implications for marketers and retailers interested in up-cycling fashion products.

• The Research Journal of the Costume Culture
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• v.14 no.6
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• pp.900-916
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• 2006

The purposes of this study were to define housewife's risk perception and risk reduction behavior when purchasing children's wear, and to identify the differences according to the clothing buying behavior and demographic characteristics. Data were gathered through survey with 429 housewives in Seoul and metropolitan area, and then statistically analyzed by descriptive statistics, factor analysis, Analysis of Variance (ANOVA), Duncan's test, and Pearson's correlation analysis. The results showed partially significant differences in risk perception, especially economic risk and social psychological risks, among housewife consumer groups according to the clothing buying behavior and the demographic characteristics. There were significant differences in risk reduction behaviors among the groups, especially brand preference/industry information, observation/experience, and media information. Also, correlations between risk perception and risk reduction behaviors were found. The social psychological risk perception was highly correlated to the risk reduction behaviors, while the time/convenience loss risk was not correlated to any risk reduction behavior. The results of this study provide insight into children's wear business through suggesting marketing implication.

• Journal of the Korean Society of Safety
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• v.29 no.1
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• pp.80-85
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• 2014

A survey of risk perception in South Korea was conducted in 2007 to evaluate relative riskiness of typical industrial and technological risks. This article summarizes the characteristics of risk perception using psychometric analyses. The survey with a sample size of 1,194 reviews the perceived level of 25 risk items in the areas of transportation, chemicals, environment, industry, nuclear power generation, and newly-introduced risks. Six categories of risk identified by a factor analysis show that the level of perceived risk does not correspond to the statistical level. Psychometric analyses including voluntariness, severity, effect manifestation, exposure pattern, controllability, familiarity, benefit and necessity demonstrate that voluntary, familiar and immediate risks are perceived as less risky than involuntary, unfamiliar and delayed ones. Risk communication is critical in reducing the discrepance between objective and subjective level of risk. However, the amount of risk information does not always justify a successful risk communication. A safety policy, risk communication strategy in particular, should take into account diverse dimensions of risk reviewed by psychometric analyses in the study. Social policy toward safety can be improved by integrating policy, human, and social factors as well as technological advances.