• Archives of design research
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• v.19 no.2 s.64
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• pp.139-150
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• 2006

The evaluation of art has been historically based on the thorough reliance on the subjectivity of beholders due to the fact that the production and appreciation of works of art is founded on the similar(subjective) value. There had been little attempt to reverse such tendency by creating an objective and quantitative checklist for evaluating a work of art. Centering on the evaluation of the Media Art, which increased dramatically in numbers since the late 1960s, this is an attempt in systematizing the quantitative evaluation of Media Art by reflecting the idea of subjective criticism as well as its medium specificity. As such, the criteria for the evaluation consist of media evaluation, work evaluation, appreciation evaluation, product evaluation and exhibition evaluation. The evaluators can be divided into the general public, the Media Art specialist and the curatorial staff, according to their experiences in dealing with the Media Art. Based on the result of the FGD, the weight has been added to the evaluation system according to each evaluation criteria to ensure the balance between the objective and subjective criticism.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.1
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• pp.99-112
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• 2014

This paper addresses an assessment model for selecting PL(Private Level) product companies. The proposed model extracts the weights of evaluation elements based on AHP(Analytic Hierarchy Process). These evaluation elements are from real-world instances in a domestic hyper market. Especially, the model points at food products which constitute a large portion of entire profits in the market. In this model, we first classify the 54 evaluation elements into 4 layers and secondly carry out a survey with relevant specialists based on them. We also estimate the weights of evaluation elements according to pairwise comparisons from the survey, and propose them as a quantitative alternative which can be applied in real-world problems. Finally, the pilot-study is conducted to compare the proposed model with the existing simple summation method. From this study, HACCP system assessment and Review(0.279281), Transportation(0.117706) and Fundamental law observance(0.066392) are presented as the key evaluation elements for selecting PL product companies. The proposed model facilitates the company selection among those candidate companies which is not easy to determine the superiority by reflecting the importance of evaluation elements.

• Journal of the Korea Fashion and Costume Design Association
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• v.24 no.4
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• pp.27-39
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• 2022

The purposes of this study were to develop cultural fashion products using Baekje traditional culture, and to examine the effects of product image and evaluative criteria on the purchase intention of cultural fashion products using Baekje traditional culture. The subjects were 500 adult consumers from their 20s to 50s. The research method was a survey, and the instruments were four stimuli, which were developed using Baekje traditional culture, and the questionnaire, consisted of product image, evaluation criteria, purchase intention of cultural fashion products, and the subjects' demographic characteristics. For data analysis, descriptive statistics, Cronbach's α, factor analysis, and regression analysis were performed. The results of this study were as follows. First, four handkerchief designs were developed as cultural fashion products, based on the results of a preliminary investigation of consumer behaviors toward cultural fashion products and thier preference of Backje relics. Second, three factors (attractiveness, uniqueness, and gentleness) emerged for images of cultural fashion products. Third, four factors (design characteristics, tourism characteristics, cultural symbolism and practicality) emerged for the evaluation criteria for cultural fashion products. Fourth, three image factors had significant positive effects on purchase intention. Especially, attractiveness had a greater effect than others. Fifth, the four evaluative criterion factors also had significant positive effects on purchase intention. Design characteristics had the greatest effect, followed by tourism characteristics, cultural symbolism, and practicality in order.

• Journal of Intelligence and Information Systems
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• v.14 no.4
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• pp.201-216
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• 2008

Nowadays various new items are available, but limitation of searching effort makes it difficult for customers to search new items which they want to purchase. Therefore new item providers and customers need recommendation systems which recommend right items for right customers. In this research, we focus on the new item recommendation issue, and suggest preference boundary- based procedures which extend traditional content-based algorithm. We introduce the concept of preference boundary in a feature space to recommend new items. To find the preference boundary of a target customer, we suggest heuristic algorithms to find the centroid and the radius of preference boundary. To evaluate the performance of suggested procedures, we have conducted several experiments using real mobile transaction data and analyzed their results. Some discussions about our experimental results are also given with a further research area.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.96-104
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• 2020

As consumers' consumption activities become more active due to the activation of online shopping malls, companies are conducting item trend analyses to boost sales. The existing item trend analysis methods are analyzed by considering only the activities of users in online shopping mall services, making it difficult to identify trends for new items without purchasing history. In this paper, we propose a trend analysis method that combines data in online shopping mall services and social network data to analyze item trends in users and potential customers in shopping malls. The proposed method uses the user's activity logs for in-service data and utilizes hot topics through word set extraction from social network data set to reflect potential users' interests. Finally, the item trend change is detected over time by utilizing the item index and the number of mentions in the social network. We show the superiority of the proposed method through performance evaluations using social network data.

• Journal of the Korea Society of Computer and Information
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• v.6 no.2
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• pp.152-156
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• 2001

Internet shopping mall is growing the new paradigm of a next generation commerce. And, the primary goal of a shopping mall web site is to facilitate economic action. Therefore. it is important in designing the shopping mall to support consumer's behaviors characteristics of a traditional commerce, This paper analyzed and evaluated two shopping mall with regard to consumer's behaviors characteristics. It is used the method of a user's performance and a subjective evaluation. It was shown that the user prefered the shopping mall web site to analogy with the traditional commerce pattern. Also, the database of an anatomic data and the development of a 3D virtual environment are suggested.

• The Journal of Korean Association of Computer Education
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• v.9 no.1
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• pp.71-80
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• 2006

As e-commerce developing rapidly, it is becoming a research focus about how to find customer's behavior patterns and realize commerce intelligence by use of Web mining technology. One of the most successful and widely used technologies for building personalization and goods recommendation system is collaborating filtering. However, collaborative filtering have serious data sparsity problem. Traditional association rule does not consider user's interests or preferences to provide a user with specific personalized service.In this paper, we propose an goods recommendation system, which is integrated an collaborative filtering algorithm with item-to-item corelation and an improved Apriori algorithm. This system has user's interests or preferences ro provide a user with specific personalized service.

• The Journal of the Korea Contents Association
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• v.6 no.1
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• pp.102-113
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• 2006

This article presents the results of empirical studies on the Quality of F&B parts in Hotel services. The main aim is to describe and analyze service breakdown from the customer's point of view and thus create a basis for quality management. The aim is also to find out maximizing factors of sales volume with profit in hotel F&B parts based on the serving systems of F&B items, quality control, change and innovation. The results of the study show statistically significant differences between the each F&B parts in term of quality of foods, location of restaurant, service inconvenience condition, variety of menu, teamwork of empolyees, educational programme, hotel internal culture, etc. Marketing and management implications for effective targeting the market segments are discussed.

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.11
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• pp.1222-1236
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• 2012

This study examined the effects of product recommendation services as an atmosphere for online mass customization shopping sites on consumers' cognitive and affective responses. We conducted a between-subject experimental study using a convenience sample of college students. A total of 196 participants provided usable responses for structural equation modeling analysis. The findings of the study support the S-O-R model for a product recommendation system as an element of the shopping environment with an influence on OMC product evaluations and arousal. The results showed that OMC product recommendation service positively affected cognitive and affective responses. The findings of the study suggest that OMC retailers might pay attention to the affective and cognitive responses of consumers through product recommendation services that can enhance product evaluations and OMC usage intentions.

• Journal of Korea Port Economic Association
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• v.37 no.4
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• pp.145-160
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• 2021

This study attempted to analyze the trade in goods effect of the Korea-ASEAN FTA by using logistics performance index, which are evaluation indicators of logistics industry workers on the logistics environment and logistics system in international trade. The World Bank's logistics performance index are six indicators: customs clearance, logistics infra, ease of shipment, logistics services, goods tracking abilities, and on-time transportation. The purpose of this study was to examine how it affects commodity trade between Korea and ASEAN states using the gravity model using panel data. Through this, it was confirmed that logistics performance index affect the increase in commodity trade.