• Journal of Distribution Science
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• v.14 no.8
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• pp.139-151
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• 2016

Purpose - In Chinese rose market, Korea competes against Latin American and African countries, but is not so competitive in terms of price and quality, implying the importance of using appropriate marketing strategies. This study aims to examine Chinese rose consumers' recognition and attributes of preference for roses produced in Korea, in order to use the result as baseline data for Korean rose exporters to China and provide implications that help establish a variety of marketing strategies targeting each region, income and age group. Research Design, Data and Methodology - 112 Chinese people were involved and interviewed in Chinese horticulture industry who had participated in 2016 Hortiflorexpo IPM Beijing. Online questionnaire survey was additionally conducted with 533 Chinese living in Korea and China. The Conjoint Analysis was conducted for region, age, and income group of respondents to estimate the relative importance of rose attributes evaluated by each population group and the utility derived from each attribute level. This process aimed to compare respective population groups for the relative importance and utility to derive implications for targeted marketing strategies. Results - The analysis finds that Chinese rose consumers prioritize rose color, followed by price, flowering stage, and flower size in purchasing roses. They prefer red roses most, followed by pink and then yellow. Moreover, they prefer larger roses, and relatively cheaper roses. The analysis reveals they prefer roses in their 20%-flowering stage to more than 40%-flowering stage. Conclusions - Establishing marketing strategies differentiated for each Chinese consumer group is critical in expanding Korean rose export. The analysis finds while Chinese consumers living in Beijing considered rose color and flowering stage more importantly than their counterparts in Shanghai, Chinese consumers living in Shanghai considered rose price and size more importantly than their counterparts living in Beijing. Therefore, establishing marketing strategies based on these attributes of preference in each region is necessary. Mid & low-income consumer groups considered price as the most important factor, and high-income consumer groups considered rose color as the most important one. It is, thus, important to focus on rose color when establishing a marketing strategy with targeting the high-income consumer group.

• Journal of the military operations research society of Korea
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• v.32 no.2
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• pp.131-142
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• 2006

Nowadays, most enterprises have introduced both EA methodology to optimize an entire enterprise and CBD methodology to improve a software reusability. The Korea Government not only have developed many EA guiding products such as EA framework, Reference Model, Guideline, etc. but also have instituted a law to optimize a government-wide enterprise. The Minister of National Defense(MND) have developed the MND-AF as a standard methodology for EA and the ADDMe as a standard methodology for CBD. But it is possible to develop products of WD-AF and ADDMe redundantly because the process of MND-AF and ADDMe is not quitely aligned. The purpose of this paper is to present a scheme that ADDMe can reuse the artifacts of MND-AF by analyzing the relationships between two processes. In order to identify the relationships between two processes, we first identify the relation of a 'definition' part of two processes and then identify the relation of an 'attribute' part based on the relation of a 'detailed definition' part. As a result we found that 113 attributes of MND-AF are related to 49 attributes of ADDMe. Therefore the proposed study will decrease the development cost and time and will be a good example for aligning the process of EA and CBD methodology.

• Journal of Global Scholars of Marketing Science
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• v.16 no.3
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• pp.125-142
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• 2006

The purpose of this study is to Baekje Cultural Festival development & reform measure by using tourist behavior characteristic of using a correspondence analysis. This study searches choice attributes factors to compare and analyzes satisfaction with importance of each regional culture festival based on choice attributes factor to grasp main tourists' behavioral character about visitors of Buyeo baekje cultural festival that can be called representative regional cultural festival in Korea. Also, execute confrontation agreement test that is kind of multidimensional scaling, wish to examine preference by age and by companion of Buyeo baekje cultural festivals that is regional unique festival, and contribute attract foreign tourist to korea enlargement. And analyze through multiple regression analysis whether festival choice attributes factor exerts effect that is some in revisiting intention, I wish to consider desirable development and improvement plan that can analyze problem by this strength and weakness, raise more attractive foreign tourist to korea and incomes in Buyeo baekje cultural festival hereafter.

• Survey Research
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• v.10 no.3
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• pp.1-19
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• 2009

This study investigates the utilities of spatial analysis in the context of survey research using Geographical Information System(GIS) and Geographically Weighted Regression (GWR) which take account of spatial heterogeneity. Many social phenomena involve spatial dimension, and with the development of GIS, GPS receiver, and online location-based services, spatial information can be collected and utilized more easily, and thus application of spatial analysis in the survey research is getting easier. The traditional OLS regression models which assume independence of observations and homoscedasticity of errors cannot handle spatial dependence problem. GWR is a spatial analysis technique which utilizes spatial information as well as attribute information, and estimated using geographically weighted function under the assumption that spatially close cases are more related than distant cases. Residential survey data from a Primary Autonomous District are used to estimate a model of public service satisfaction. The findings show that GWR handles the problem of spatial auto-correlation and increases goodness-of-fit of model. Visualization of spatial variance of effects of the independent variables using GIS allows us to investigate effects and relationships of those variables more closely and extensively. Furthermore, GIS and GWR analyses provide us a more effective way of identifying locations where the effect of variable is exceptionally low or high, and thus finding policy implications for social development.

• Journal of the Korean Institute of Landscape Architecture
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• v.45 no.3
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• pp.107-115
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• 2017

As a simple and practicable method, an Importance-Performance Analysis(IPA) is often used as a tool to study the satisfaction of tourists in Tourism. The IPA has two dimensions to attribute importance and performance(or satisfaction as in satisfaction research), and generally uses an interviewee self-reported approach to acquire performance and importance data. Many scholars have pointed out that the traditional IPA cannot meet the premise of its establishment. Therefore, several revised IPA have been proposed. Among them, Deng's IPA is the most representative. There are not many contrastive analyses between the traditional IPA and revised IPA in academia. The lack of comparative study will make it difficult to judge the difference and effectiveness of different IPA techniques. Taking Gyeongju Yangdong Village as an example, this study investigated and researched the degree of satisfaction of Chinese tourists using the traditional IPA method and Deng's modified IPA method respectively, and then analysed the differences between the two methods and their causes. Based on the analysis results, the study put forward suggestions for the improvement of tourism management in Gyeongju Yangdong Village.

• Journal of The Korean Association For Science Education
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• v.35 no.3
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• pp.443-453
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• 2015

In this study, we suggested the design thinking process that was possible to be introduced in science education and also examined the validity of the process in terms of group creativity. To do this, the design thinking process applicable to science education was selected from a variety of design thinking processes developed abroad, and then the process was modified and supplemented. We created the education program based on the developed design thinking process and applied it to high school students. The results revealed that we could offer the design thinking process through the five stages: 'understanding knowledge', 'empathy', 'sharing perspective', 'generating idea', and 'prototype'. With the results of the application of the program, we could confirm the relationship building and information seeking attributes in the understanding knowledge stage and the user-orientation, relationship building, and interpersonal understanding attributes in the empathy stage. We could also find the organization of the team attribute in the sharing perspective stage and the analytical strategic thinking attributes in the generating idea stage. Finally, the communication and analytical strategic thinking attributes in the prototype stage were confirmed. All of the key attributes of the group creativity found from skilled professionals were not confirmed from the students. However, we could ascertain the possibilities that the students should experience the process of group creativity and learn the relevant values through the developed design thinking process.

• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.137-146
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• 2020

VR(Virtual Reality), which has drawn attention as a major area in ICT, is currently being used in various fields, including medical care, movies and architecture. Although VR technology is used in various fields, contents are mainly developed by creators where needs of users are easily left out of consideration leading to failure in forming a consensus between UI(User Interface) and UX(user experience). To identify the consumer preference and attribute level of VR game content, which is responsible for the largest proportion of VR contents, this study was designed to examine the consumers' preference properties of VR game contents through a Conjoint Analysis and derive the relative importance and weightings of each group. The study collected 166 questionnaires over a total of three months from May to July 2019, 150 of which were completed (90.4%). Statistic analysis was conducted using SPSS Ver. 25.0. The results of the study showed that the genre of the game (42.6%), number of players (24.0%), price for payment (20.3%) and game planning (13.1%) were important attributes in choosing VR games. The optimal mix of attributes was derived with new games, RPGs, multi-play and medium price (22,000 KRW). Before mentioning technology in the expectations of users who use VR game content, which is the most preferred among VR contents, this study recognized the need to have a fun and new experience through VR game content. Therefore, it is expected that this will serve as a reference for consumer behavior of VR game contents and research on VR game contents development.

• The Journal of Society for e-Business Studies
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• v.23 no.1
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• pp.1-22
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• 2018

The value chain has been utilized as a strategic tool to improve competitive advantage, mainly at the enterprise level and at the industrial level. However, in order to conduct value chain analysis at the enterprise level, the client companies of the parent company should be classified according to whether they belong to it's value chain. The establishment of a value chain for a single company can be performed smoothly by experts, but it takes a lot of cost and time to build one which consists of multiple companies. Thus, this study proposes a model that automatically classifies the companies that form a value chain based on actual transaction data. A total of 19 transaction attribute variables were extracted from the transaction data and processed into the form of input data for machine learning method. The proposed model was constructed using the Random Forest algorithm. The experiment was conducted on a automobile parts company. The experimental results demonstrate that the proposed model can classify the client companies of the parent company automatically with 92% of accuracy, 76% of F1-score and 94% of AUC. Also, the empirical study confirm that a few transaction attributes such as transaction concentration, transaction amount and total sales per customer are the main characteristics representing the companies that form a value chain.

• Journal of Forest and Environmental Science
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• v.15 no.1
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• pp.1-9
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• 1999

Noticing the intrinsic growing habit variations of hardwood species which is indigenous to the natural deciduous forest, eighteen tree species in overstory were selected for comparative evaluating tree form so as to develop the tree form index (TFI). Selected six tree form attributes were arbitrarily divided four assessment criteria and given appropriate scores. Eighteen tree species were undergone corresponding scores, converted to percentage base, and estimated TFI by the summation of the six scoring values. Cluster analysis was carried out to review which attribute would have been shared among species based on dissimilarity of scores for each pair of species in $18{\times}6$ data matrix. The result showed that Populus davidiana had the highest TFI value of 80.8 and Carpinus cordata had the lowest TFI va1ue of 46.3. The species which received more than 70 of TFI are Populus davidiana, Betula costata, Fraxinus mandshurica, and Ulmus davidiana var. japonica, characterized by the advantage of straight and longer bole, the narrower crown, and the thinner branch. On the contrary, such species as Sorbus alnifolia. Prunus sargentii, Acer mandshuricum, Juglans mandshurica, and Carpinus cordata received less than 60 of TFI, characterized by the disadvantage of the crooked or forked stem. the wider or deeper crown. and the thicker branch. In the dendrogram produced by cluster analysis, arbitrary value of Euclidean distance 10 divided eighteen species into four distinctive groups. and the typical characteristics of each group were discussed.

• Journal of Environmental Impact Assessment
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• v.22 no.6
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• pp.591-607
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• 2013

The objectives of the study were to evaluate the aquatic environment of an urban stream using various ecological parameters of biological biomarkers, physical habitat quality and chemical water quality and to develop a "Multimetric Eco-Model" ($M_m$-E Model) for the ecosystem evaluations. For the applications of the $M_m$-E model, three zones including the control zone ($C_Z$) of headwaters, transition zone ($T_Z$) of mid-stream and the impacted zone ($I_Z$) of downstream were designated and analyzed the seasonal variations of the model values. The biomarkers of DNA, based on the comet assay approach of single-cell gel electrophoresis (SCGE), were analyzed using the blood samples of Zacco platypus as a target species, and the parameters were used tail moment, tail DNA(%) and tail length (${\mu}m$) in the bioassay. The damages of DNA were evident in the impacted zone, but not in the control zone. The condition factor ($C_F$) as key indicators of the population evaluation indicator was analyzed along with the weight-length relation and individual abnormality. The four metrics of Qualitative Habitat Evaluation Index (QHEI) were added for the evaluations of physical habitat. In addition, the parameters of chemical water quality were used as eutrophic indicators of nitrogen (N) and phosphorus (P), chemical oxygen demand (COD) and conductivity. Overall, our results suggested that attributes of biomarkers and bioindicators in the impacted zone ($I_Z$) had sensitive response largely to the chemical stress (eutrophic indicators) and also partially to physical habitat quality, compared to the those in the control zone.