• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.8
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• pp.3815-3823
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• 2013

The purpose of this study was to closely examine the influence of field-shock experience and post traumatic stress perceived by fire officials upon somatic symptoms and coping methods. A survey was carried out targeting 362 male and female fire officials who are working at fire safety centers where are located in Gangwon-do Province. The collected data were used SPSS 19.0 and AMOS 19.0 for Windows. It carried out frequency analysis, factor analysis for validity and reliability, Cronbach's ${\alpha}$ analysis, descriptive statistics and correlation. For hypothesis verification, an analysis was carried out by using structural equation modeling. All the statistical analyses were set for the significant level in p<.05. The results are as follows. First, the perceived field-shock stress was indicated to have influence upon post traumatic stress. Second, the perceived field-shock stress was indicated to have influence upon somatic symptom. Third, the perceived field-shock stress was indicated to have influence upon a coping method. Fourth, the post traumatic stress was indicated to have influence upon somatic symptom. Fifth, the post traumatic stress was indicated to have influence upon a coping method. Sixthly, the somatic symptom was indicated to have influence upon a method of coping with stress.

• Journal of Intelligence and Information Systems
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• v.26 no.1
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• pp.151-166
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• 2020

A recommender system is a system that recommends products or services that best meet the preferences of each customer using statistical or machine learning techniques. Collaborative filtering (CF) is the most commonly used algorithm for implementing recommender systems. However, in most cases, it only uses purchase history or customer ratings, even though customers provide numerous other data that are available. E-commerce customers frequently use a search function to find the products in which they are interested among the vast array of products offered. Such search keyword data may be a very useful information source for modeling customer preferences. However, it is rarely used as a source of information for recommendation systems. In this paper, we propose a novel hybrid CF model based on the Doc2Vec algorithm using search keywords and purchase history data of online shopping mall customers. To validate the applicability of the proposed model, we empirically tested its performance using real-world online shopping mall data from Korea. As the number of recommended products increases, the recommendation performance of the proposed CF (or, hybrid CF based on the customer's search keywords) is improved. On the other hand, the performance of a conventional CF gradually decreased as the number of recommended products increased. As a result, we found that using search keyword data effectively represents customer preferences and might contribute to an improvement in conventional CF recommender systems.

• The Korean Journal of Applied Statistics
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• v.29 no.3
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• pp.409-424
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• 2016

This study analyzed the causal relationship among factors that influence the purchase intensions for individual pensions which have a growing importance as a financial means after retirement. For this purpose, structural equation modeling based on the survey data (N = 928) was conducted to analyze psychological factors and financial factors comprehensively. According to empirical results of the structural equation, in the case of non-subscribers of individual pensions, potential longevity and coping efficacy influenced the purchase intensions for individual pensions fully mediated by fear and worry about longevity. Trust in insurers and risk tolerance directly influenced the purchase intensions for individual pensions. These show that trust in insurers is the most important factor in purchase intensions for individual pensions. Also, only trust in insurers give a direct impact on individual pensions in the case of individual pension subscribers. Longevity-related emotional side is expected to help in marketing activities that target potential customers signing individual pensions. In addition, trust in insurers has the greatest impact on new and additional subscriptions that represent critical efforts to improve trust in insurers.

• The Korean Journal of Applied Statistics
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• v.31 no.3
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• pp.315-328
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• 2018

In this paper, we examine the methodology to predict consumer preferences using several groups of attributes of products and application to real data. In the food industry, studies are in progress to investigate the relationship between product attributes and consumer preferences; consequently, various methodologies are proposed. Among these methodologies, we consider multiple factor analysis (MFA). The result of the MFA enable the division of consumers into four clusters with similar liking and the defining of preference characteristics for each cluster. Also, using the results of multiple factor analysis, we find the partial least squares path model to predict consumer preferences through the characteristics of the product and the characteristics evaluated by consumers. We can understand the relationship between the cluster of consumers and the preferred/undesirable characteristics of products through the partial least squares path model applied to two clusters with different liking. When multiple factor analysis is used in the partial least squares path model, it is possible to investigate relationships between products and consumers by analyzing product characteristics and consumer preferences simultaneously. The results can be applied to product developments and sales which makes this methodology important and useful.

• The Journal of Society for e-Business Studies
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• v.11 no.1
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• pp.25-52
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• 2006

This study focuses on customer perception of security control under Internet banking environment Internet banking customers' understanding of security control is insufficient. They are not fully aware of security technologies for Internet banking. Moreover, they cannot know which control is implemented and maintained on an Internet banking site when visiting the site. This study, therefore, attempts to find the impact of customer perception of security control on Internet banking acceptance. The research model is based on the TAM (Technology Acceptance Model), and introduces trust as an additional belief. Trust has been investigated in the marketing area, and begins to be focused in e-business area. A Web survey of Internet banking users collected 845 cases. Statistical analyses, using SEM (Structural Equation Modeling), partially supported the hypotheses that perceived strength of security control has an impact on three beliefs: trust, perceived usefulness, and perceived ease of use. We also verified the impact of these beliefs on attitude toward using, on behavioral intention to use, and on actual use. It is, therefore, verified that perceived strength of security control is a determinant of Internet banking acceptance.

• Journal of Environmental Policy
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• v.14 no.4
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• pp.23-44
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• 2015

The policy aimed at introducing a Bonus-Malus system to reduce GHG and raise the market share of small cars is scheduled to go into effect in South Korea in 2020. Although the policy was originally planned to be enforced from 2015, the Ministry of Trade, Industry and Energy argued that the system brings low reduction effect and relative disadvantage to domestic small cars and brought arguments in 2014. As a result, the enforcement was pushed back. Related studies are mainly focused on offering statistical estimation of the policy's effect to support the arguments, and few theoretical studies were published given that there was not enough time until 2015 back then. The author approached the issue with mathematical modeling in order to give theoretical basis for sophisticated empirical studies. If car suppliers have market power and strategically set their prices, the impact of Bouns-Malus on car prices would be lower than what was originally intended. In case only a part of the car market loses its market power, the effect of the policy would be improved. Assume that the Bonus-Malus is currently at an optimal level and the car market structure is undergoing changes, then the direction of the new optimal level would depend on the elasticity of demand of each market and substitute elasticity. For example, if the car market becomes more monopolistic while the demand for big cars is elastic, demand for small cars is inelastic and substitution elasticity is low, then the new optimal level of Bonus-Malus should be higher.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.25 no.3
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• pp.348-356
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• 2014

The existing effective path-length model of ITU-R has some drawbacks: The prediction error is quite large compared to domestic measurement data and it is an empirical model in which the physical characteristics of rain cells are not considered. In this paper, a theoretical model for effective path-length using the rain-cell concept was proposed and its validity was verified using the measurement data. To analyze the statistical characteristics of rain cell parameters, the weather-radar data(CAPPI) measured by Korea Meterological Administration were analyzed and the correction factor was properly introduced to fit the Chollian beacon measurement data of ETRI(Electronics and Telecommunications Research Institute). To verify the proposed effective path-length model, it was compared with the Mugunghwa No. 5 beacon data measured in Chungnam National University with the support of ADD(Agency for Defense Development). It was confirmed that the prediction results of the proposed model are in good agreement with the measurement data.

• The KIPS Transactions:PartD
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• v.11D no.4
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• pp.991-1002
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• 2004

Online game business has emerged as the most lucrative entertainment industry, with over 20 million platers. The popularity of online games can be attributed to the presence of numerous PC Bangs around the country, which have pushed online games into the mainstream culture while broadband internet services facilitated online game play. The age distribution of online game players is expanding and a variety of new games are under development to target certain age groups. While the online game market continues to expand, with many new online game publishers entering the market, relatively little is known about which factors are strategically important for successful development of online games. A conceptual framework is proposed, and a structural equation modeling, for Identifying the factors affecting the market success of online games, is developed. The concept of online game community, idea generation, systematic development strategy, flexible development process, utilizing demo-version, outsourcing, etc, are ail introduced into the model, as the independent variables affecting the success level of online games directly and indirectly. Based on data collected from questionnaire survey, the validity of the model has been tested and interesting conclusions have been developed concerning the relationships between these variables. Statistical results show that utilizing online game community and system atic development strategy is the key for successful online game development. Other interesting results concerning game development strategy are also provided. It is hoped that this result might provide the useful guidelines for developing the successful online game contents. With a better understanding of key success factors, online game developers should be able to make adjustments in their development and marketing plans, providing them with a sustainable advantage over their competition.

• Culinary science and hospitality research
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• v.22 no.8
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• pp.1-16
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• 2016

The purpose of this study is to verify the effects of team trust and cooperative behavior on the food-service employees' perceived service performance as well as the moderating effects of team competency and other department support in the relationship among the team trust, cooperative behavior, and service performance of food-service employees. We conducted a survey of 1,080 food-service employees working in 8 hotels and 4 food-service stores located in Seoul, Gyeonggi, Song-do, Gyeongju, and Busan, and 841 food-service employees were employed for statistical analysis except unreliable responses. As a result of a SEM (structural equation modeling) analysis to confirm hypotheses, it was found that team trust (leader trust and co-worker trust) had a positive effect on the cooperative behavior. In addition, the cooperative behavior had a positive influence on the food-service employees' perceived service performance. Also found was the moderating effect of other department support in the relationship between the cooperative behavior and food-service employees' perceived service performance. Based on the research findings, we discussed its academic and practical implications, and suggestions on the future research.

• Geomechanics and Engineering
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• v.19 no.5
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• pp.421-434
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• 2019

It is of great significance to study the mechanical properties and failure mechanism of the defected rock for geological engineering. The defected sandstone modeling with power-law distribution of pre-cracks was built in this paper by Particle Flow Code software. Then the mechanical properties of sandstone and the corresponding failure process were meticulously analyzed by changing the power-law index (PLI) and the number of pre-cracks (NPC). The results show that (1) With the increase of the PLI, the proportion of prefabricated long cracks gradually decreases. (2) When the NPC is the same, the uniaxial compressive strength (UCS) of sandstone increases with the PLI; while when the PLI is the same, the UCS decreases with the NPC. (3) The damage model of rock strength is established based on the Mori-Tanaka method, which can be used to better describe the strength evolution of damaged rock. (4) The failure mode of the specimen is closely related to the total length of the pre-crack. As the total length of the pre-crack increases, the failure intensity of the specimen gradually becomes weaker. In addition, for the specimens with the total pre-crack length between 0.2-0.55 m, significant lateral expansion occurred during their failure process. (5) For the specimens with smaller PLI in the pre-peak loading process, the concentration of the force field inside is more serious than that of the specimens with larger PLI.