• Journal of the Korean Society of Food Culture
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• v.22 no.6
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• pp.794-800
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• 2007

The purpose of this study was to measure the tourists' preference for alternative restaurants with different combinations of 4 attribute levels: origin description, food type, price and service guarantee. A total of 210 questionnaires were completed from tourists who visited Kwangyang, Suncheon and Yeosu during Jan. 2 - Jan. 15, 2007. Conjoint experiment method was used to develop hypothetical restaurants. Ordinal probit model was used to measure the effects of attribute levels on the tourists' preference. Results of the study demonstrated that the ordinal probit model analysis result for the data indicated excellent model fit. The effects of attribute levels (origin description, traditional food, fusion food, price, service guarantee) on the tourists' preference were statistically significant. As expected, estimates of marginal willingness to pay for origin description(3.063), food type(2.349), and service guarantee(2.356) were statistically significant. Moreover, tourists were more willing to pay for origin description than other attribute levels. Tourists also considered the origin description as the very important attribute. In conclusion, based on conjoint analysis, a model was proposed of marginal willingness to pay of attribute levels. It should be noted that the original model was modified and should, preferably, be validated in future research.

• The Journal of Fisheries Business Administration
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• v.55 no.1
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• pp.37-53
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• 2024

In the post-COVID-19, the food industry is rapidly reshaping its market structure toward online distribution. Rapid delivery system driven by large distribution platforms has ushered in an era of online distribution of fresh seafood that was previously limited. This study surveyed 1,000 consumers nationwide to determine their online seafood purchasing behaviors. The research methodology used factor analysis of consumer lifestyle and Heckman's ordered probit sample-selection model. The main results of the analysis are as follows. First, quality, freshness, selling price, product reviews from other buyers, and convenience are particularly important considerations when consumers purchase seafood from online shopping. Second, online retailers and the government must prepare measures to expand seafood consumption by considering household characteristics and consumer lifestyles. Third, it was analyzed that consumers trust the quality and safety of seafood distributed online platforms. It is not possible to provide purchase incentives to consumers who consider value consumption important, so improvement measures are needed. The results of this study are expected to provide implications on consumer preferences to online platforms, seafood companies, and producers, and can be used to establish future marketing strategies.

• Journal of the Korean Institute of Gas
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• v.10 no.3 s.32
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• pp.48-53
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• 2006

In case of fire and explosion which resulted from LP gas release of LPG vessel retail store, the populated area such as apartment complex is supposed to be damaged either partially or totally. To estimate the damage of LP gas explosion, we conducted quantitative risk analysis procedure as has been recommended by AIChE/CCPS. For incident scenario selection, event tree analysis was proposed. TNT equivalent method, SAFER Trace v.8.0 and probit model were also used for consequence analysis. The various methods and analyses which were performed in this study are presented with the effect zones in the layout.

• 한국ITS학회:학술대회논문집
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• v.2007 no.10
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• pp.149-155
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• 2007

• Journal of Korean Society of Rural Planning
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• v.23 no.3
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• pp.53-60
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• 2017

In order to export Korean spray roses to the China, it is needed to analyse chinese preferences, rose attributes, and purchase intentions. The purpose of this study is to present the implications on the production and distribution of roses for export by analyzing the quality preference attributes and purchase intention of Korean rose for Chinese flower experts. A survey on the preference and purchase intention of Korean flower roses by Chinese flower experts was conducted through face - to - face interviews with flower show participants in China. Approximately 100 Chinese flower experts who participated in the Flower Show in 2016 received the questionnaire, and 86 survey results could be used for analysis. Survey data were analyzed using ordered probit and bivariate probit models. As a result of an analysis, it was found that Chinese flower experts were more likely to buy Korean roses than Chinese roses even if they consider flower color, leaf shape and size and color diversity. The probability of purchasing more than twice the price was higher than that of the color diversity considering the flower shape, leaf shape and size, but the bivariate order probit model was larger than that of flowers, leaves and size, and the order of probability size was changed. In order to increase the export of Korean spray roses to the Chinese market, We need to increase Chinese experts' preferences and satisfaction. For this purpose, it is very important to develop export varieties of roses with large flower buds and shape / coloring, and to apply the useful post-harvest technology that can extend freshness and distribution period of export roses.

• The Journal of Society for e-Business Studies
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• v.27 no.1
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• pp.81-94
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• 2022

In the service sectors, the qualitative evaluation method in the form of a survey is widely used as a major assessment tool to evaluate the quality of service. However, the results obtained from a survey can involve the subjective judgment of the respondent. In this study, we propose a method to secure objectivity by excluding subjectivity that may be included in the qualitative evaluation results. In particular, we deal with a situation where the same type of qualitative evaluation tool is used repeatedly by several service providers. To this end, by utilizing both the Ordered Probit model and third-party evaluation results, we determine whether subjectivity is involved in the results. After correcting subjectivity, the final results are obtained through statistical analysis. The application analyzed in this study is the medical service area. With the actual evaluation results supplied by the service providers, we explain how objectivity can be secured from the assessment data by applying our proposed approach.

• Korean Journal of Social Welfare
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• v.67 no.3
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• pp.281-303
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• 2015

This study examined the interdependent retirement decision between husbands and wives. Since most of retirees in Korea retired by involuntary reasons such as health problems, it purposes to test whether the involuntary retirement of husbands(wives) influences the retirement decision of wives(husbands). Using data from 4th Korean Longitudinal Study of Ageing Panel, it conducted probit and multivariate probit analysis on 1,038 dual-earner couples aged 51~76 to test interdependence of couples' retirement. The results showed that husbands who have retired wife were more likely to retire. It also proved that involuntary retirement of spouse is a significant predictor of early retirement decision, though the direction of the effect is reversed by gender. Wives were more likely to retire when husband were retired involuntarily, while husbands were more likely to stay in labor market. These findings helped to understand the retirement decision of aged couples in Korea and brought suggestion on labor market and care policies for aged couples.

• Journal of Environmental Impact Assessment
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• v.25 no.2
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• pp.124-140
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• 2016

Using the Korea Labor Institute Panel Study(KLIPS), this study investigates the impacts of water pollution on life satisfaction in Korea. Panel random-effects ordered probit model is used to consider the ordered property of life satisfaction data and heterogeneity of panel data. The proxy variables to reflect the degree of water pollution are biochemical oxygen demand(BOD) and total phosphorus(TP). In addition to the environmental variables above, other determinants used in various studies on life satisfaction such as economic, social, and demographic characteristics are included. Estimation results show that water pollution is negative and significant for life satisfaction. Other indicators such as income, age, house ownership, gender, education are positively related while urban residence and own business are shown to be negatively related.

• Land and Housing Review
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• v.3 no.1
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• pp.23-32
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• 2012

The Schwabe's law explains the housing demand weighs more on demographic factors rather than on socio-economic factors as societies achieve higher level of economic development. Based on Schwabe's law, the present study constructs a hypotheses to analyze changes of housing demand with respect to housing tenure change in Seoul Metropolitan Area (SMA) during the periods of 1980 to 2005. To test the hypotheses, the authors take advantage of the Population and Housing Census 2% data from 1980 to 2005. The authors apply binary probit with decomposition method to verify our hypotheses. The authors found that the influence of socio-economic factors on housing tenure have been weakened in the housing market during the periods of 1980 to 2005. On the other hand, the relative influence of demographic factors have been strengthened in the housing market during the periods. The present study concludes that housing demand in the SMA have been dramatically changed from socio-economic characteristics to demographic factors to decide housing tenure during the periods, which confirms the hypotheses of the present study.

• Journal of the Korean Institute of Gas
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• v.27 no.1
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• pp.13-22
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• 2023

As an alternative to environmental pollution generated from fossil fuels currently in use, research is being actively conducted to use hydrogen that does not cause air pollution. As fire and explosion accidents caused by hydrogen leakage have occurred until recently, research on safety is needed to commercialize hydrogen on ships, which are special environments. In this study, a seasonal alternative scenario for each season and the worst scenario were assumed in the event of a leakage accident while a hydrogen fuel cell propulsion ship equipped with a hydrogen storage tank was navigating at JangSaengPo port in Ulsan. In order to consider environmental variables, the damage impact range was derived through ALOHA and probit analysis based on the annual average weather data for 2021 by the Korea Meteorological Administration and on geographic information data from the National Statistical Office. Radiation showed a wider damage range than that of Overpressure and Flame in both the alternative and worst-case scenarios, and as a result of probit analysis, a fatality rate of 99% was confirmed in all areas.