• Journal of Korea Game Society
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• v.18 no.1
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• pp.105-114
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• 2018

Various data analysis methods used for customer type analysis are very important for game companies to understand their type and characteristics in an attempt to plan customized content for our customers and to provide more convenient services. In this paper, we propose a k-mode cluster analysis algorithm that uses information uncertainty by extending information entropy to reduce information loss. Therefore, the measurement of the similarity of attributes is considered in two aspects. One is to measure the uncertainty between each attribute on the center of each partition and the other is to measure the uncertainty about the probability distribution of the uncertainty of each property. In particular, the uncertainty in attributes is taken into account in the non-probabilistic and probabilistic scales because the entropy of the attribute is transformed into probabilistic information to measure the uncertainty. The accuracy of the algorithm is observable to the result of cluster analysis based on the optimal initial value through extensive performance analysis and various indexes.

• Korean Journal of Construction Engineering and Management
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• v.8 no.3
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• pp.106-115
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• 2007

The size and length of road tunnels have been gradually expanded as industry developed. Consequently, the risk has been increased. The decision making process for ventilation system for road tunnels involves a large amount of information on economic feasibility, construction methods, and safety etc. In situation where systematically structured decision making process is unavailable, almost decisions about ventilation systems are made based on engineers' private knowledge and experiences. Procedure and criteria to choose the best optimized ventilation system among many alternatives are proposed, breaking away from the economic dependency-oriented decision making. This paper presents a Multi-Attribute Utility Theory and AHP based function with which planners can calculate overall utility of each alternative. It is anticipated that the effective use of the proposed methodology for decision making on ventilation systems ould be able to reduce the likelihood of the occurrence of potential safety risks as well as increase the overall ventilation performance.

• International Journal of Quality Innovation
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• v.3 no.2
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• pp.183-198
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• 2002

The purpose of this research is mainly to make an analysis and comparison of the purchasing behaviors of consumers in Mainland China and Taiwan. We precede this research with a questionnaire survey. In Mainland China, we targeted consumers of 10 department stores of the Parkson Plaza Co., Ltd. that are located in 10 different cities. In Taiwan, we selected 3 department stores of the Far Eastern Department Stores in 3 cities. The results of this analysis indicate the importance of quality attributes to the consumers for both Mainland China and Taiwan, albeit with some differentiations. The consumers in China are more focused on the merchandise for example as well as imitation, quality and price. Contrarily, the consumers in Taiwan are more attentive to service quality and parking Issues. On the level of evaluation of satisfaction, the differences are not so obvious for both sides. For example, the quality attributes of “No imitation products” and “Friendly servers” are ranked as the most satisfactory items for both sides. Generally speaking, the service quality of Taiwan's department stores is very outstanding. There are also some differences in the areas of lesser satisfaction between consumers of China and Taiwan. The consumers in China identified the quality attribute “the designs of merchandising, display and the usage of each floor” as the most dissatisfactory item, while the performance on this quality attribute is well accepted by the consumers of Taiwan's department stores. Another contradiction is that Taiwan's consumers are more concerned about “Parking”; this quality attribute obtained much less attention from the consumers in Mainland China. From the analysis of determinants that will have impacts on the willingness of customers to buy again, we found that the viewpoints of consumers from both sides are quite similar. The two main factors are “quality of merchandise” and “service quality”. However, the consumers in Mainland China care more about “the price of merchandise”; this is less important to the consumers in Taiwan. We may conclude from the importance and satisfaction level of the quality attributes and determinants for return customers that differences are caused mainly by the different management of the department stores and the different living circumstances of people across the straights.

• The Journal of the Korea Contents Association
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• v.18 no.12
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• pp.676-681
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• 2018

This paper is designed to address the extent of impacts that religious musicals may have upon on audience in contrast to the mainstream musicals by exploring choice attributes of Christian musicals, which are based on the stories of the Bible. Through empirical analysis, the paper shows that there is positive correlation between choice attributes and viewing satisfaction, while explaining choice attributes' impact on behavioral intention of audience, typically in word-or-mouth intention. It further shows that choice attribute of Christian musicals have direct positive impacts on both of behavioral and word-of-mouth intentions, which revisit intention is positively related to its reputation and the performance place. This study's significance lies in the use of Christian musicals to explore the complex interactions between choice attributes and audiences' behavioral intentions afterwards. However, it will also further benefit if future research include further mediating, control variable, including non-Christians.

• Journal of the Korea Society for Simulation
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• v.28 no.1
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• pp.1-9
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• 2019

Recently, as the importance of warehouses has increased, much efforts are being made to improve the picking process in order to cope with a small amount of high frequency and fast delivery. This study proposes an algorithm to assign orders to pickers in the situation where Single Order Picking policy is used. This algorithm utilizes five attributes related to picking such as picking processing time, elapsed time after receipt of order, inspection/packing workstation situation, picker error, customer importance. A measure of urgency is introduced so that the units of measure for each attribute are the same. The higher the urgency, the higher the allocation priority. In the proposed algorithm, the allocation policy can be flexibly adjusted according to the operational goal of the picking system by changing the weight of each attribute. Simulation experiments were performed on a hypothetical small logistics warehouse. The results showed excellent performance in terms of system throughput and flow time.

• Korean Journal of Human Ecology
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• v.17 no.6
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• pp.1167-1180
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• 2008

The purpose of this study was to take the gauge of the importance-performance of the clothing store attribute in the department store. The survey was administered to customers of department stores in Deajeon city and frequency analysis, factor analysis, reliability analysis, and importance-performance analysis were used to analyze the data of 37 clothing store attributes. The findings of this study were as bellows: 1. 8 factors were distracted from 37 clothing store attributes by factor analysis (Factor 1: goods, Factor 2; store's facility and environment, Factor 3; salesman and service, Factor 4; brand, Factor 5; price, Factor 6; store's atmosphere, Factor 7; convenience of the transportation and access, Factor 8; promotion and advertisement) 2. as results of importance-performance analysis, 10 attributes were shown in area I (high importance and high performance) which needed a strategy of Keep Up the Good Work, 6 attributes in area II (low importance but high performance) fitted a strategy of Possible Overkill, 12 attributes in area III (high importance but low performance) corresponded to a strategy of Concentrate Here, and finally a strategy of Low Priority was needed to 9 attributes in area IV (low importance and low performance).

• Korea Trade Review
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• v.46 no.2
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• pp.75-92
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• 2021

There is increasing awareness in the international alliance literature that the firm performance effects of the alliance portfolio go beyond the effects of the individual alliances. I enrich this nascent perspective by developing a alliance portfolio composition framework based on the alliance portfolio dimensions - underpinned by the simultaneity of quantitative and qualitative factors in international portfolio - that enhances firms' financial performance. This paper assesses the impact on firm performance of composing the alliance dimension within a firm's international alliance portfolio. In an unbalanced panel data analysis with fixed effects of the performance of 502 firms operating in the Korean manufacturing industry during 2011-2017, I test whether firm's three dimension of international alliance portfolio affect on firm financial performance. I find that the intensity of international alliance have significantly positive effect on the firm performance. And following the moderating analysis of three portfolio dimension-functional, relational, and attribute, all of each three international alliance portfolio has positive moderating effects on the relationship between the alliance intensity and firm performance. These results indicate that firms should consider and form simultaneous approaches to exploit the international alliance based on the alliance portfolio dimensions with intensity of alliance portfolio.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.3
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• pp.423-431
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• 1997

A new decision tree generator MEC is proposed in this paper, which uses the difference of multi-base entropy as a consistent criterion for discretization and selection of attributes. To evaluate the performance of the proposed generator, it is compared to other generators which use criteria based on entropy and adopt different discretization styles. As an experimental result, it is shown that the proposed generator produces the most efficient classifiers, which have the least number of leaves at the same error rate, regardless of whether attribute values constituting the training set are discrete or continuous.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.4
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• pp.317-328
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• 2018

The purpose of this study is to examine the effect of the quality of performance on audience satisfaction, and to verify the mediating effect of service value and traditional image in this process. The subjects of this study included 211 male and female adults who experienced the Korean opera performance in Seoul, Korea in October. Collected data was used as a model of path coefficients obtained through analysis of covariance structure and hypothesis test. As a result of verification, program quality, physical environment quality, and quality of the stage performance perceived by the audience showed a statistically significant positive correlation with performance experience attributes. The path coefficient between performance attribute and service value, performance experience attribute and traditional image were also positively and statistically significant. Further, the path coefficient between performance experience and audience satisfaction showed a positive relationship. The service value and traditional image, service value and audience satisfaction, and the path coefficient between traditional image and audience satisfaction were statistically and positively significant. Finally, all hypotheses were adopted and study results confirmed the effect of service quality and experience attributes on audience satisfaction for the popularization, modernization and marketing strategy of the Korean opera. In this process, it is meaningful to verify the role and function of service value and traditional image.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.4
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• pp.452-459
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• 1998

The purpose of this study was to discover a conceptual framework and evaluation process of apparel quality by means-end chain theory. The theoretical study was conducted to find out a conceptual framework and build a hypothetical evaluation process model of apparel quality. Apparel quality was perceived associative network called a means-end chain and was evaluated in several stages. A conceptual framework of apparel quality evaluation was organized into hierarchical relationships among four different dimensions: physical attribute, physical function, instrumental performance, and expressive performance. The means-end structure linked tangible physical attributes and function to more abstract instrumental and expressive performance. A hypothetical evaluation process model linked dimensions of apparel quality to the selected means-end relationship. Different consumers had different means-end chains for the same apparel. Therefore different subjects are likely to have different evaluation paths. From this study we can suggest an evaluation process model of apparel quality.