• 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.

• Korean Journal of Construction Engineering and Management
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• v.16 no.1
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• pp.92-100
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• 2015

This study proposes measures to improve management performance of construction projects by re-designing the organizational structures of the Regional Construction Management Administrations of the Ministry of Land, Infrastructure and Transport. The re-designing measures are derived based on the three measures which were established by analyses on status of the Regional Construction Management Administrations, requirements from the current organizational structure, and domestic/overseas examples; the measures are: 1) organizational integration and scope expansion, 2) structural re-organization according to construction projects, and 3) building a knowledge management structure. In order to realize the re-designing measures, sixteen tasks are derived; a milestone is established according to importance, feasibility and lead-lag relationships of these tasks. If these tasks are to be carried out successfully, the management performance of the Regional Construction Management Administrations of the Ministry of Land, Infrastructure and Transport will be expected to improve. Ultimately, the Regional Construction Management Administrations can reduce cost and improve the quality of public service by outsourcing the non-core competence tasks and by concentrating on the construction management for the new infrastructure projects.

• Journal of the Korea Concrete Institute
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• v.28 no.3
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• pp.257-265
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• 2016

The failure behavior of reinforced concrete beams is governed by the mechanical relationships between the shear span-to-effective depth ratio, flexural reinforcement ratio, load and support conditions, and material properties. In this study, two simple indeterminate strut-tie models which can reflect all characteristics of the failure behavior of reinforced concrete beams were proposed. The proposed models are effective for the beams with shear span-to-effective depth ratio of less than 3. For each model, a load distribution ratio, defined as the fraction of load transferred by a truss mechanism, is also proposed to help structural designers perform the rational design of the beams by using the strut-tie model approaches of current design codes. In the determination of the load distribution ratios, the effect of the primary design variables including shear span-to-effective depth ratio, flexural reinforcement ratio, and compressive strength of concrete was reflected through numerous material nonlinear analysis of the proposed indeterminate strut-tie models. In the companion paper, the validity of the proposed models and load distribution ratios was examined by applying them to the evaluation of the failure strength of 335 reinforced concrete beams tested to failure by others.

• Journal of the Korea Convergence Society
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• v.11 no.7
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• pp.113-123
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• 2020

The purpose of this study is to quantitatively demonstrate that rational and emotional factors in urban tourist facilities affect visitor satisfaction, positive word of mouth and subsequent revisits. Therefore, the researcher used structural modeling methodology to test the paths and relationships between the rational and emotional perception, satisfaction, word of mouth, and exogenous variables (aesthetics, economic utility, accessibility, emotional attachment, etc.) of urban tourism facilities perceived by users. As a result of the study, users of urban tourism facilities are affected by customer satisfaction such as ease, usability, and pleasure based on intangible assets such as kindness, aesthetics, symbolism, attachment, and rational factors, which are emotional impressions of urban tourism facilities, and utility, and customer satisfaction. These were found to have a positive and lasting effect on users' perceptions of the facility. Therefore, if the rational and emotional values of urban tourism facilities are considered and integrated in marketing, efficiency can be maximized in terms of satisfaction, word of mouth, and future revisits. The researcher considered that this study could contribute to the revitalization of the tourism industry and the city as a whole through the improvement and utilization of various tourism facilities possessed by the city.

• Culinary science and hospitality research
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• v.18 no.3
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• pp.72-89
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• 2012

This study aims to understand the influence of consumption value perceived by resort customers upon customer satisfaction and behavioral intention. Based on total 324 customers obtained from the empirical research, this study reviewed reliability and fitness of the research model and verified total 4 hypotheses with AMOS program. The hypothesized relationships in the model were tested simultaneously by using a structural equation model(SEM). The proposed model provided an adequate fit to the data, ${\chi}^2$=467.489(p<.001), df=326, CMIN/DF=1.434, GFI=.911, AGFI=.889, NFI=.881, CFI=.960, RMSEA=.037. The model's fit, as indicated by these indexes, was deemed satisfactory, thus it provided a good basic for testing the hypothesized paths. The result showed that the functional value(${\beta}$ .233, p<.01), social value(${\beta}$ .125, p<.05), emotion value(${\beta}$ .310, p<.001), epistemic value(${\beta}$ .144, p<.05) had a positive significant influence on customer satisfaction. Also, customer satisfaction(${\beta}$ .225, p<.01) had a positive significant influence on behavioral intention. The moderating effects by gender and marital status were found not to exist. Limitations and future research directions are also discussed.

• Culinary science and hospitality research
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• v.18 no.3
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• pp.32-45
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• 2012

The purposes of this study is to understand the influence of culinary employees' stress coping styles in the deluxe hotel industry on counterproductive work behaviors and turnover intention. Based on total 345 culinary employees obtained from empirical research, this study reviewed the reliability and fitness of the research model and verified a total of 2 hypotheses using the AMOS program. The hypothesized relationships in the model test simultaneously by using a structural equation model(SEM). The proposed model provided an adequate fit to the data, ${\chi}^2$=736.474(p<0.001), df=233, GFI=.853, NFI=.901, CFI=.930, RMSEA=.079. Hypothesis $1^a$, which hypothesized a positive relationship between employees coping styles(avoid coping, ${\beta}$=.325; emotion coping, ${\beta}$=.261; job coping, ${\beta}$=-.203) and person-counterproductive work behavior was supported. As predicted by, Hypothesis $1^b$, employees' coping styles(job coping, ${\beta}$=-.307; avoid coping, ${\beta}$=.262; emotion coping, ${\beta}$=.146) had significant positive effects on organization-counterproductive work behavior. Also, employees' person-counterproductive work behavior(${\beta}$=.431) had significant positive effects on turnover intention(Hypothesis 2 was partially supported). Limitations and future research directions are also discussed.

• Culinary science and hospitality research
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• v.21 no.2
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• pp.11-26
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• 2015

The purpose of this study was to understand the influence of non-verbal communication of coffee shop employees on brand image and customer satisfaction. Based on a total of 317 samples obtained for empirical research, this study reviewed the reliability and fitness of the research model and verified a total of 3 hypotheses using the AMOS program. The hypothesized relationships in the model were simultaneously tested through the use of a structural equation model(SEM). The proposed model provided an adequate data fit, ${\chi}^2=434.380$ (p<0.001), df=178, CMIN/DF=2.440, GFI=0.886, AGFI=0.852, NFI=0.900, CFI=0.938, RMSEA=0.068. The model's fit, as indicated by these indexes, was deemed satisfactory, thus providing a good basis for testing the hypothesized paths. The SEM showed that kinesics(${\beta}=.311$), paralanguage(${\beta}=.242$), physical appearance(${\beta}=.382$) and proxemics(${\beta}=.481$) had a significant positive influence on brand image. In addition, brand image(${\beta}=.217$) had a significant positive influence on customer satisfaction. Furthermore, the effect of coffee shop employee non-verbal communication on customer satisfaction was found to be partially mediated by the brand image.

• The Journal of the Korea Contents Association
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• v.11 no.9
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• pp.275-292
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• 2011

In this research, we executed a questionnaire survey targeting men and women in 20' or more who reside in the metropolitan area and have experienced purchasing the vehicles in order to study how Promotion Mix Activity affects Brand equity, and ultimately what kind of relation it has with Purchase intention. In the statistical process of collected data, we analyzed the data by using SPSS 12.0 for Windows statistical package and AMOS 7.0 program. As the result of analysis, first, when we analyzed the relation of the Promotion Mix Activity and Brand Equity of the companies, the more affirmative the assessment on the advertising activities of the companies was, the higher the brand popularity, royalty and image increased, And it appeared that as the assessment on PR activities of the companies got more affirmative, the brand popularity, image and royalty increased. Second, as the result of the analysis of the relation between salespersons' Promotion Activities and Brand assets, it appeared that salespersons' social capacity improved Brand awareness and royalty and their strategic capacity improved Brand awareness, royalty and image. Third, seeing the result of the analysis on the relation between Brand equity and Purchase intention, it was shown that Brand popularity had a meaningful positive(+) effect upon satisfaction and repurchase(oral) intention, and Brand royalty had a meaningful positive(+) effect upon satisfaction and repurchase(oral) intention. In addition, it appeared that Brand image had a meaningful positive(+) effect upon satisfaction and repurchase(oral) intention, and finally it could be known that Brand assets had a close correlation with Purchase intention.

• Computers and Concrete
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• v.19 no.5
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• pp.457-465
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• 2017

The Taiwanese liquid crystal display (LCD) industry has traditionally produced a huge amount of waste glass that is placed in landfills. Waste glass recycling can reduce the material costs of concrete and promote sustainable environmental protection activities. Concrete is always utilized as structural material; thus, the concrete compressive strength with a variety of mixtures must be studied using predictive models to achieve more precise results. To create an efficient waste LCD glass concrete (WLGC) design proportion, the related studies utilized a multivariable regression analysis to develop a compressive strength waste LCD glass concrete equation. The mix design proportion for waste LCD glass and the compressive strength relationship is complex and nonlinear. This results in a prediction weakness for the multivariable regression model during the initial growing phase of the compressive strength of waste LCD glass concrete. Thus, the R ratio for the predictive multivariable regression model is 0.96. Neural networks (NN) have a superior ability to handle nonlinear relationships between multiple variables by incorporating supervised learning. This study developed a multivariable prediction model for the determination of waste LCD glass concrete compressive strength by analyzing a series of laboratory test results and utilizing a neural network algorithm that was obtained in a related prior study. The current study also trained the prediction model for the compressive strength of waste LCD glass by calculating the effects of several types of factor combinations, such as the different number of input variables and the relevant filter for input variables. These types of factor combinations have been adjusted to enhance the predictive ability based on the training mechanism of the NN and the characteristics of waste LCD glass concrete. The selection priority of the input variable strategy is that evaluating relevance is better than adding dimensions for the NN prediction of the compressive strength of WLGC. The prediction ability of the model is examined using test results from the same data pool. The R ratio was determined to be approximately 0.996. Using the appropriate input variables from neural networks, the model validation results indicated that the model prediction attains greater accuracy than the multivariable regression model during the initial growing phase of compressive strength. Therefore, the neural-based predictive model for compressive strength promotes the application of waste LCD glass concrete.

• The Journal of Society for e-Business Studies
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• v.14 no.4
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• pp.95-118
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• 2009

Virtual community, which is formed on the internet, is expected to serve the needs of members for communication, information, and knowledge sharing. The executives of organizations should consider operating strategy of virtual community as a new innovation or knowledge pool since members share knowledge. However, many virtual community have failed due to members' low willingness to engage and furthermore to share knowledge with other members. Thus, there is a need to understand and foster the determinants of members' loyalty in virtual community. The objective of this study is to develop an integrated model designed to investigate and explain the relationships between contextual factors, personal perceptions of virtual community, usefulness, ease of use, familiarity, members' trust, reputation, community trust, attitude, satisfaction and loyalty. Empirical data was collected from 286 internet users and tested using structural equation modeling to verify the fit of the hypothetical model. The results show that the usefulness, familiarity significantly influences attitude and members' trust is significantly influence the community trust. And I confirmed that ease of use and attitude play the role of determinants in making the satisfaction, community trust and reputation influence the satisfaction that have the direct effect to making the loyalty. The results of the study can be used to identify the loyalty in virtual community. By investigating the impacts of contextual factors and personal perceptions on virtual community, the integrated model better explains behavior than other proposed models. This study might help executives of virtual communities and organizations to manage and promote community trust, attitude, satisfaction to stimulate members' willingness to revisit the community and futhermore enhance their virtual community loyalty.