• Journal of Distribution Science
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• v.15 no.5
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• pp.53-64
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• 2017

Purpose - This study focuses on use intention of mobile travel Apps by Chinese tourists visiting Korea based on UTAUT model, ISS model and ITM model. And the corresponding market promotion schemes are proposed for operators of mobile travel Apps by the research results. Research design, data, and methodology - After collecting 326 respondents in China with cross-sectional questionnaires, this study begins the empirical research with users of mobile travel Apps, and analyzes data with IBM SPSS 23.0 and IBM AMOS 23.0. Results - The results of this study include the following aspects: firstly, the System quality and Information quality are accepted for hypotheses of Satisfaction and Performance expectancy. Secondly, the Personal Propensity to Trust and Firm Reputation are accepted for Initial Trust hypothesis, and the hypotheses of Firm Reputation and Initial Trust are accepted for Use Intention. Thirdly, the Performance expectancy, Effort expectancy, Social influence are accepted for Use Intention hypothesis. Conclusions - With the increase of tourists visiting Korea, it can be predicted that the needs visiting Korea will be increased persistently for Chinese - this trend brings about the increase of the Chinese travel. First, information quality greatly influences satisfaction and performance expectancy. The research result shows that, the higher the mobile traveling App's information quality is, the higher the satisfaction and performance expectancy will be. Therefore, operators of mobile traveling App should have in-depth investigations towards users, to know the latter's real demand to the information quality and then provide corresponding services. Second, performance expectancy and effort expectancy greatly influence users' intention. Therefore, mobile traveling App operators should improve Apps' convenience and efficiency and, in doing so, find an effective method for market expansion. Third, social influence greatly affects users' intention. The result shows that mobile traveling App operators should pay attention to the influence of mass media and friends' recommendation on users, thereby it is necessary to improve advertisement activities. Fourth, initial trust also influences users' intention. The result shows that initial trust is a key element inducing users to generate use intention. Therefore, mobile traveling Apps operators should make efforts to catch elements that influence users' initial trust.

• Korean Journal of Construction Engineering and Management
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• v.12 no.1
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• pp.53-61
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• 2011

For construction projects, the importance of early cost estimates is highly recognized by the project team and sponsoring organization because early cost estimates are frequently a foundation of business decisions as well as a basis for identifying any changes as the project progresses from design to construction. However, it is difficult to accurately estimate construction cost in the early stage of a project due to various uncertainties in construction. To deal with these uncertainties, cost estimates should be made several times over the course of the project. In particular, early cost estimates are essential process for successful project management. For accurate construction cost estimates, it is necessary to compare cost estimates with actual costs based on historical project data. In this context, case-based reasoning (CBR), which is the process of solving new problems based on the solutions of similar past problems, can be considered as an effective method for cost estimating. To obtain this, it is also required to define the attribute similarities and the attribute weights. However, no existing method is capable of determining attribute weights of qualitative variables. Consequently, it has been a well-known barrier of accurate early cost estimates. Using Genetic Algorithms (GA), this research suggests the method of determining the attribute weight of qualitative variables. Based on building project case studies, the proposed methodology was validated.

• The Journal of Information Systems
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• v.25 no.4
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• pp.141-161
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• 2016

Purpose As crowdfunding is a relatively recent phenomenon, determinants of successful crowdfunding with empirical data have been under-researched. Consequently, we examine the role of information- and behavior-based social interaction on the performance of crowdfunding projects, while investigating the motivational factor of goal achievement. Design/methodology/approach From February to August 2016, we collected panel data on 154 crowdfunding projects, which completed fundraising successfully on Tumblbug, a reward-based crowdfunding platform in Korea. In this study, we examine the roles of information-based social interaction (e.g., sharing information on a crowdfunding project) and behavior-based social interaction (e.g., following other investors' behavior) on successful crowdfunding. Additionally, we investigate whether the motivation of goal achievement moderates the relationship between social interaction and performance of crowdfunding projects or not. Findings We find that the number of times a crowdfunding project is shared has a positive influence on its performance, as does the number of project backers. Furthermore, we confirm that goal achievement motivation moderates the effects of information- and behavior-based social interaction on the performance of crowdfunding projects.

• Food Science and Preservation
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• v.13 no.2
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• pp.252-258
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• 2006

To find the optimum extraction condition of dried omija, central composite experimental design having three independent variable (extraction temperature, extraction time and water ratio) with five levels was conducted for response surface analysis. The maximum of soluble solid was predicted to the extraction conditions of over 25 fold water ratio, $7{\sim}8hr$ and $75^{\circ}C$. Total acid, total phenol, reducing sugar and vitamin C were predicted to respectively 30 fold water ratio, 6 hr, $70^{\circ}C$, 30 fold water ratio, $6{\sim}7\;hrs,\;80^{\circ}C$ and 30 fold water ratio, $6{\sim}8\;hr,\;80^{\circ}C$, 25 fold water ratio, $5{\sim}6hr,\;80^{\circ}C$ extraction condition. Turbidity of extraction condition. Turbidity of extraction condition was 7 over 25 ford water ratio and over $60^{\circ}C$. From the superimposing results of response variables, the optimum extraction condition was predicted 25 folds water ratio, 6 hr and $65{\sim}70^{\circ}C$.

• Journal of the Korean Wood Science and Technology
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• v.38 no.3
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• pp.191-198
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• 2010

This research was performed to investigate the effect of hydrogen peroxide on the stain removal in japanese hackberry. Response surface method (RSM) was used to optimize the bleaching conditions such as reaction temperature, reaction time and the concentration of hydrogen peroxide. Fifteen different bleaching conditions were selected according to $2^3$ factorial central composite design (CCD). The bleaching effect were evaluated by lightness differences of wood surface before and after the bleaching. The RSM model was determined and its $R^2$ values were 0.93, showing it well represented the bleaching effect. The most affecting factor on the stain removal was the concentration of hydrogen peroxide, followed by reaction time and reaction temperature. Second degree of concentration was proved to have an effect on the bleaching. Bleaching rates above 3% concentrations of hydrogen peroxide were tended to be slightly decreased, and low bleaching effect was found at $20^{\circ}C$. The determined RSM model may offer very practical ways to obtain the desired levels of bleaching because it offers multiple solutions.

• The Journal of Information Systems
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• v.26 no.3
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• pp.171-185
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• 2017

Purpose Recently, there has been an increase in attempts to analyze social phenomena, consumption trends, and consumption behavior through a vast amount of customer data such as web search traffic information and social buzz information in various fields such as flu prediction and real estate price prediction. Internet portal service providers such as google and naver are disclosing web search traffic information of online users as services such as google trends and naver trends. Academic and industry are paying attention to research on information search behavior and utilization of online users based on the web search traffic information. Although there are many studies predicting social phenomena, consumption trends, political polls, etc. based on web search traffic information, it is hard to find the research to explain and predict tourism demand and establish tourism policy using it. In this study, we try to use web search traffic information to explain the tourism demand for major cities in Gangwon-do, the representative tourist area in Korea, and to develop a nowcasting model for the demand. Design/methodology/approach In the first step, the literature review on travel demand and web search traffic was conducted in parallel in two directions. In the second stage, we conducted a qualitative research to confirm the information retrieval behavior of the traveler. In the next step, we extracted the representative tourist cities of Gangwon-do and confirmed which keywords were used for the search. In the fourth step, we collected tourist demand data to be used as a dependent variable and collected web search traffic information of each keyword to be used as an independent variable. In the fifth step, we set up a time series benchmark model, and added the web search traffic information to this model to confirm whether the prediction model improved. In the last stage, we analyze the prediction models that are finally selected as optimal and confirm whether the influence of the keywords on the prediction of travel demand. Findings This study has developed a tourism demand forecasting model of Gangwon-do, a representative tourist destination in Korea, by expanding and applying web search traffic information to tourism demand forecasting. We compared the existing time series model with the benchmarking model and confirmed the superiority of the proposed model. In addition, this study also confirms that web search traffic information has a positive correlation with travel demand and precedes it by one or two months, thereby asserting its suitability as a prediction model. Furthermore, by deriving search keywords that have a significant effect on tourism demand forecast for each city, representative characteristics of each region can be selected.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.355-360
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• 2006

Function analysis and idea creation phase in Value Engineering(VE) Process is applied to manufacturing Industry for developing functions for elements of products, and in construction come to use various components like process, size of project, spaces as well as function itself due to multi-functional aspect. For this reason, VE applications to the construction industry are considered to be less frequent and efficient than to the manufacturing. To resolve this problem, a new technique of Function Integration Fast(HI FAST) and Hierarchical Value Engineering Concept Modules(HVECM) was made for practical integration and sequence of VE job Plan. Two types of function would be defined In this method, first and second function, during the job Plan process, and two function champions be selected for next creation phase process. For verification of consecutiveness of function analysis and idea creation phase for successful VE project implementation, this methodology was tested under design phase in office and IT Multi-functional building project. Make sure the successful application of this process with this method, need to develop the talent of VE experts and team members for process of function analysis and creation phase.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.8
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• pp.62-68
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• 2016

The feeder cable assembly is an automotive part used for telecommunication. If it malfunctions, the control and safety of the automobile can be put at risk. ALT (Accelerated Life Testing) is a testing process for products in which they are subjected to conditions (stress, strain, temperatures, etc.) in excess of their normal service parameters in an attempt to uncover faults and potential modes of failure in a short amount of time. Failure is caused by defects in the design, process, quality, or application of the part, and these defects are the underlying causes of failure or which initiate a process leading to failure. Thermal shock occurs when a thermal gradient causes different parts of an object to expand by different amounts. Thermal shock testing is performed to determine the ability of parts and components to withstand sudden changes in temperature. In this research, the main causes of failure of the feeder cable assembly were snapping, shorting and electro-pressure resistance failure. Using the Coffin-Manson model for ALT, the normal conditions were from Tmax = $80^{\circ}C$ to Tmin = $-40^{\circ}C$, the accelerated testing conditions were from Tmax = $120^{\circ}C$ to Tmin = $-60^{\circ}C$, the AF (Acceleration Factor) was 2.25 and the testing time was reduced from 1,000 cycles to 444 cycles. Using the Bxlife test, the number of samples was 5, the required life was B0.04%.10years, in the acceleration condition, 747 cycles were obtained. After the thermal shock test under different conditions, the feeder cable assembly was examined by a network analyzer and compared with the Weibull distribution modulus parameter. The results obtained showed good results in acceleration life test mode. For the same reliability rate, the testing time was decreased by a quarter using ALT.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.9
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• pp.269-278
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• 2018

In Korea, BIM technology is applied mainly to building construction projects, but is expected to be applied rapidly to civil engineering projects because the government is currently considering the mandatory application of BIM for infrastructure facilities. Because the infrastructure project is processed in a horizontal work area, the application of BIM technology is more useful in the schedule management of the construction phase than the interference management of the design phase. The 4D CAD system is a typical BIM technology applied to the schedule management in the construction phase, but the application to the actual project is limited due to the lack of practical functions. This study examined the functions of four representative 4D CAD systems commercialized so that the selection criterion can be provided according to the characteristics of the project, and suggests that the functions that should be improved to have practicability. As a result of functional analysis, the application characteristics of each system were analyzed and the user convenience was suggested. In addition, a linear 4D simulation methodology was developed to improve the functions applicable to civil engineering projects, and ways to improve the utilization of the infrastructure projects as the construction phase BIM were suggested. In railway and road construction projects, most activities, such as earthwork, bridges, and tunnels proceed along the distance axis in a horizontal space. Therefore, a linear 4D simulation method, in which an activity is expressed along a distance axis, can be more practically useful rather than a simple 4D simulation method with a Gantt chart.

• Journal of Distribution Science
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• v.11 no.4
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• pp.73-80
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• 2013

Purpose - As the smart-phone market adds new technologies and introduces new marketing trends, competition among companies is getting fierce. Now, smart-phone companies need to pay attention not only to attaining new customers but also to retaining customers, which means managing relationships to prevent customer defection. Therefore, how to satisfy customer needs and maintain long-term relations are both important to make consistent progress in the rapidly changing smart-phone market. To illustrate this point, the study focuses on analyzing the effects of consumption value on relational factors and buying intentions among smart-phone users. First, consumption value was divided into functional, economic, and emotional values. After that, the effects of these values on satisfaction and brand trust were confirmed. Additionally, effects of satisfaction and brand trust on repurchase intention were analyzed. Research design, data, and methodology - The data was collected in a self-administered survey among 270 undergraduate students, using smart-phones between June 4th-12th, 2012. A total of 257 questionnaires were collected and used for the data analysis. A path analysis based on Lisrel 8.54 was used for the hypothesis test. Consumption value was divided into functional, economic, and emotional values. Subsequently, the effects of these values on satisfaction and trust in the brand were confirmed. Additionally, the effects of satisfaction and trust in the brand on repurchase intention were analyzed. Results - First, functional value, economic value, and emotional value - especially emotional value - were revealed to have positive effects on satisfaction. Second, emotional value was shown to have positive effects on brand trust, while functional and economic values did not. Third, satisfaction had positive effects on brand trust. In considering the relative influence on brand trust, satisfaction was the most crucial factor. It is clear that in the evaluation of the direct experience, using the product or the service plays an important role in building brand trust. Fourth, satisfaction and brand trust positively influenced repurchase intention. This indicates that both factors must be achieved to induce the repurchase Intention among customers. Conclusions - One can see that the enjoyable emotions consumers feel while using smart-phones is the most important factor in increasing levels of satisfaction. Moreover, this indicates that consumers pursue economic desires along with convenient functions in order to reduce opportunity costs. Additionally, consumers are affected by psychological and emotional messages in building trust, rather than practical and rational ones. Thus, in order to appeal to young clients as an attractive brand in the smart-phone market, approaching customers with an emotional value is recommended. In addition, in order for the brand to gain trust, the overall experience the consumer feels while using smart phones should be maximized. After all, one must fulfill the consumers' desire for a new experience and show a willingness to faithfully accomplish the responsibility of the brand to strengthen relationships with customers in the smart-phone market.