• 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.

• 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.

• International Journal of Highway Engineering
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• v.18 no.6
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• pp.173-180
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• 2016

OBJECTIVES : Fixed roadside objects are a threat to drivers when their vehicles deviate from the road. Therefore, such roadside objects need to be suitably dealt with to decrease accidents. This study determines the factors affecting the severity of accidents because of fixed roadside objects. METHODS : This study analyzed the crash severity impact of fixed roadside objects by using ordered probit regression as the analysis methodology. In this research, data from 896 traffic accidents reported in the last three years were used. These accidents consisted of sole-car accidents, fixed roadside object accidents, and lane-departure accidents on the national highway of Korea. The accident severity was classified as light injury, severe injury, and death. The factors relating to the road and the driver were collected as independent variables. RESULTS : The result of the analysis showed that the variables of the crash severity impact are the collision location (left side), gender of the driver (female), alcohol use, collision facility (roadside trees, traffic signals, telephone poles), and type of road (rural segments). Additionally, the collision location (left side), gender of the driver (female), alcohol use, collision facility (street trees, traffic signals, telephone poles), and type of road (rural segments), in order of influence, were found to be the factors affecting the crash severity in accidents due to fixed roadside objects. CONCLUSIONS : An alternative solution is urgently required to reduce the crash severity in accidents due to fixed roadside objects. Such a solution can consider the appropriate places to install breakaway devices and energy-absorbing systems.

• The Journal of the Korea Contents Association
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• v.9 no.2
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• pp.242-251
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• 2009

In this study, we analysed the impact of performing level of CSR-Labor standard index to corporate's expectation level to raise the employee's job satisfaction and morale. Using ordered probit analysis method, corporate higher level of performing CSR-Labor standard index is related with higher expectation of raising the employee's jobs satisfaction and morale on average. Also performing levels of individual index are positively related with expectation level. When using all standard indexes in the analysis, index 3 named "workplace without discrimination" and index 7 named "healthy and safe workplace" have significant coefficients. Therefore we confirmed that corporate making efforts to achieve safe workplace without discrimination has higher expectation to raise the employee's job satisfaction and morale. Finally we concluded that CSR-Labor standard index is properly constructed.

• Journal of the Korea Society of Computer and Information
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• v.22 no.10
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• pp.167-177
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• 2017

In this paper, we propose the role of job crafting in the relationship between leadership and organizational effectiveness in voluntarily carrying out each member's assigned tasks. This study surveyed the manufacturing, construction, service industries in Seoul and Gyeonggi province, identified the type of leadership they recognized, and empirically analyzed the organizational effectiveness of leadership. The purpose of this paper is to grasp the types of leadership acknowledged by the industry of manufacturing, construction, and service, and also to empirically analyze the organizational effectiveness of the leadership. The study measures the organizational effectiveness in terms of the job satisfaction, organizational commitment, and organizational citizenship behavior while classifying the leadership into coaching leadership, transformational leadership, and sensible leadership. In addition, the strictness of the analysis is imposed by estimating the simple least square model and ranking probit model. The results of the least square model is summarized as the following. Regardless of the different defining terms of organizational effectiveness, transformational leadership was shown to have the greatest organizational effectiveness. Sensible leadership positively effected job satisfaction whereas coaching leadership positively effected job satisfaction and organizational effectiveness. Compared to transformational leadership and coaching leadership, the impact of the sensible leadership was very much limited. The result of the ranking probit model is summarized as the following. First, sensible leadership had a positive impact on the member's job satisfaction and organizational commitment. Second, regarding the organizational citizenship behavior, coaching leadership showed greater impact than transformational leadership. This results contradicts the results from the simple least square model. If similar studies were to be conducted in the future, two models and the results must be compared. Third, as the leadership score increases by 1 point, there is greater possibility of having more than 4 points for all job satisfaction, organizational commitment, organizational citizenship behavior. Lastly, the analysis proves that job crafting has the mediation effect between the leadership and organizational effectiveness.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.3
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• pp.391-398
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• 2019

In general, truck-involved crashes increase severity in terms of both injury level and crash impact level. Recently, although the frequency and fatality of truck-involved crashes in Korea are rising, their associative studies are very limited. Therefore, the objective of this study is to identify critical factors influencing on injury severity of truck-involved crashes on Korean freeway system. To carry out this objective, this study uses an ordered probit model (OPM) based on a 6-year crash dataset from 2012 to 2017. From the analysis, eight variables were found to have a great effect on injury severity: older driver, crash speed, rear-end collision, number of vehicles involved, drowsy driving, nighttime (0:00 to 6:00) driving, overturn or rollover, and vehicle's fire after crash. However, injury severity was less severe in crashes under snowy condition and crashes to traffic facilities (i.e., crash alone).

• Journal of Korean Society of Rural Planning
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• v.18 no.2
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• pp.39-45
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• 2012

The objective of this study was to analyze the determinant factors in the new agricultural technology acceptance targeted to the automatic switchgear for heat-retaining mulching used on the oriental melons farms. The probit and the logit models were estimated using survey data. The result indicated that the level of income, innovativeness, and reliability are important factors of the new agricultural technology acceptance. Therefore, it is considered the level of income, innovativeness, and reliability in advance to extend the new agricultural technology quickly.

• Journal of the Korean Statistical Society
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• v.30 no.4
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• pp.613-635
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• 2001

This paper proposes a skewed multivariate probit model for analyzing a correlated binary response data with covariates. The proposed model is formulated by introducing an asymmetric link based upon a skewed multivariate normal distribution. The model connected to the asymmetric multivariate link, allows for flexible modeling of the correlation structure among binary responses and straightforward interpretation of the parameters. However, complex likelihood function of the model prevents us from fitting and analyzing the model analytically. Simulation-based Bayesian inference methodologies are provided to overcome the problem. We examine the suggested methods through two data sets in order to demonstrate their performances.

• Journal of the Korean Institute of Gas
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• v.17 no.3
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• pp.1-7
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• 2013

The influence of the over-pressure caused by Explosion in gas station was calculated by using the Hopkinson's scaling law and injury effect by accident to buildings and human bodies was estimated by applying the probit model. As a result, the injury estimation was conducted by using the probit model for leakage 10% of 20ton storage tank. The separate distances from LPG station for building(damage) and human(lung hemorrhage to death) are 260 and 30 meters, respectively.

• Korean Journal of Agricultural Science
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• v.49 no.4
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• pp.789-799
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• 2022

The purpose of this study is to analyze farmers' perceptions of Greenhouse Gas Reduction Projects and identify factors influencing participation in the projects. To achieve the research objective, a survey was conducted and a probit model was adopted for the empirical analysis. The results showed that farmers do not participate in the projects due to a lack of education and promotion and due to economic loss. It also showed that the frequency of training and technical guidance learning, degree of recognition of the need for efforts to reduce greenhouse gases, and the level of recognition of the projects concerned have a positive impact on the willingness to participate in the projects. Meanwhile, participation in agricultural environment conservation programs has a negative impact on it. Enhancement of education and promotion as well as economic support (direct payment, R&D) would be useful to raise the willingness to participate in the projects.