• The Journal of Society for e-Business Studies
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• v.4 no.3
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• pp.179-196
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• 1999

A cyber shopping mall is a place where consumers acquire the product information and make purchase decision in the cyber space. Even though there are many advantages over traditional malls, there are still several limitations to do shopping in an existing cyber mall. One of them is the absence of efficient search tool to handle various products specifications. Existing search systems usually support the "keyword search only" with limited product information. Consumers spend lots of their time and efforts in searching products and comparing them. Recently, some web sites provide the shopping mall comparison service that supports the additional search conditions such as price and maker. These services improve the situation but it is not still acceptable. In this paper, we propose an intelligent product search system based on a mediator which supports various conditional search for each product. Our system provides consumers with search results that satisfy purchase specifications. Our system is implemented in Visual basic and pert and experimental results show satisfactory performance.

• Fashion & Textile Research Journal
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• v.10 no.3
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• pp.289-297
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• 2008

This paper was to examine the salesperson's service that the consumer demands in different types of fashion retailing formats including department store, discount store and outlet store. Data has been collected from June to August in 2005 in Pusan and Seoul on subject of 1000 adult over18 years old and 979 pieces were used to analyze. Data analysis was conducted by factor analysis, regression using the SPSS statistics package program. Services in common in 3 fashion retailing formats were "individual concerning", "kindness, courtesy/customer respect", "quick correspondence/convenience", and "product knowledge". Unique services that consumer demanded for the department store were professional and polite attitude; for the discount store, honesty and convenience for refund and exchange; for the outlet store, wide range of product selection. The results has shown that the part of salesperson's service dimensions influenced the consumer's purchase, repurchasing intention and the level of satisfaction. Therefore fashion marketers need to carefully implicate operation and service management depending on the retailing formats.

• The Journal of Information Technology
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• v.9 no.3
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• pp.33-47
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• 2006

We will can do quality of measurement of service that thing is quite abstract concept. Generally, we speak Service of quality that property of a product, usability of use, social quality requirement to a quality of service by wide meaning. A purpose of this study was comparison regarding a way to measure of service quality, and in the insufficient section there was anything, and progress of model study of service left no matter how much focus to it. There is comparative study a few progress of literature of a PZB, SERVQUAL, SERVPERF, model. Desarbo, Huff, Rolandelli, & Choi, (1994: 125-131) proposed that to solve the above model contradiction point, and Presentation called a plan based on to Conjoint analysis. There is Critical point to decide on priority order of proposed model of service measurement. This study has a lot of the pieces which are short by absence of empirical study, but will make a supplementation in next term study.

• Journal of Information Processing Systems
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• v.20 no.3
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• pp.285-295
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• 2024

Driven by the vague assessment big data, a product service system (PSS) evaluation method is developed based on a hybrid model of multi-weight combination and improved TOPSIS by relative entropy. The index values of PSS alternatives are solved by the integration of the stakeholders' vague assessment comments presented in the form of trapezoidal fuzzy numbers. Multi-weight combination method is proposed for index weight solving of PSS evaluation decision-making. An improved TOPSIS by relative entropy (RE) is presented to overcome the shortcomings of traditional TOPSIS and related modified TOPSIS and then PSS alternatives are evaluated. A PSS evaluation case in a printer company is given to test and verify the proposed model. The RE closeness of seven PSS alternatives are 0.3940, 0.5147, 0.7913, 0.3719, 0.2403, 0.4959, and 0.6332 and the one with the highest RE closeness is selected as the best alternative. The results of comparison examples show that the presented model can compensate for the shortcomings of existing traditional methods.

• Korean Journal of Agricultural Science
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• v.49 no.3
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• pp.667-678
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• 2022

A characteristic of a region's environmental resources is the competitiveness of local agricultural products. This study explores methods of making locally produced agricultural products appealing to consumers. We looked at ways to appeal to consumers by using the image of environment resource and environment-agriculture product image congruence. The relationships of two dimensions of environmental image, perceived quality and purchase intention, are examined. From the results of the study, both the image of environment resource and environment-agriculture product image congruence have a positive effect on purchasing local agricultural products through perceived quality. This study tried to ascertain which of the two dimensions of the environmental image factor is more effective in terms of consumer appeal for local agricultural products. As a result, both the image of environment resource and environment-agricultural product image congruence are found to have a positive effect on the purchase intention of consumers through perceived quality. By comparing the paths of the two dimensions it is found that the method of appealing to consumers by using the environment-agriculture product image congruence is more effective. The results of this study present an effective method of making locally produced agricultural products appealing to consumers and suggest an effective strategic direction for selling local agricultural products.

• Korean journal of food and cookery science
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• v.18 no.5
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• pp.495-504
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• 2002

With the rapid growth of high-school food service in a short period as a result of the extensive implementation of school service, contract food service as well as the use of pre-prepared food ingredients has been increased. The purpose of this study was to evaluate the time required in various phases of product flow, temperature, pH, Aw, microbiological quality of foods served in high school in Seoul area and to analyze the hazardous factors to find out efficient control methods. Comparison was made between the schools using prepared food and raw materials in terms of microbiological quality. However, no distinguishable difference in the quality of foods was found between them. Therefore, the use of prepared food seemed no impose more hazard than using raw materials.

• Korean Management Science Review
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• v.19 no.2
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• pp.125-137
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• 2002

The telecommunications market is expanding rapidly and becoming more substitutive. In this environment, demand forecasting is very difficult, yet important for both practitioners and researchers. in this paper, we adopt the modeling approach proposed dy Jun and Park ［6］. The basic premise is that demand patterns result from choice behavior, where customers choose a product to maximize their utility. We apply a choice-based substitutive diffusion model to the Korean mobile telecommunication service market where digital service has completely replaced analog service. In comparison with Bass-type multigeneration models. our model provides superior fitting and forecasting performance. The choice-based model is useful in that it enables the description of such complicated environments and provides the flexibility to include marketing mix variables such as price and advertising in the regression analysis.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.230-235
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• 2022

This study is to select an optimal object detection algorithm for designing a self-checkout counter to improve the inconvenience of payment systems for products without existing barcodes. To this end, a performance comparison analysis of YOLO v2, Tiny YOLO v2, and the latest YOLO v5 among deep learning-based object detection algorithms was performed to derive results. In this paper, performance comparison was conducted by forming learning data as an example of 'donut' in a bakery store, and the performance result of YOLO v5 was the highest at 96.9% of mAP. Therefore, YOLO v5 was selected as the artificial intelligence object detection algorithm to be applied in this paper. As a result of performance analysis, when the optimal threshold was set for each donut, the precision and reproduction rate of all donuts exceeded 0.85, and the majority of donuts showed excellent recognition performance of 0.90 or more. We expect that the results of this paper will be helpful as the fundamental data for the development of an automatic payment system using AI self-service technology that is highly usable in the non-face-to-face era.

• Food Science of Animal Resources
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• v.29 no.4
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• pp.409-414
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• 2009

In this study, the quality of chicken breasts from organically reared chickens was compared with that of chicken breasts from conventionally reared chickens. Broilers were raised in an indoor pen with conventional and organic production system, respectively. The diet formulation for the organically reared chickens and the production density were in accordance with the guidelines for organic chicken products. Twenty birds from each group were slaughtered and their breasts were obtained for analysis. The organic chicken breasts had a higher cooking loss, and waterholding capacity, and a lower shear force (p<0.05) compared to the conventional chicken breasts. The organic chicken breasts also showed higher $a^{\ast}$ and $b^{\ast}$ values and myoglobin contents compared with the conventional chicken breasts (p<0.05). In the fatty-acid analysis, the organic chicken breasts resulted in higher polyunsaturated fatty acid (PUFA) and unsaturated fatty acid contents, and a higher PUFA-saturated fatty acid ratio.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.9
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• pp.1099-1111
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• 2011

This study identified the types of consumer review information about apparel products based on consumer satisfaction/dissatisfaction with the availability/non-availability of consumer review information for online stores. Data were collected from 318 females aged 20s' to 30s', who had significant experience in reading consumer reviews posted on online stores. Consumer satisfaction/dissatisfaction with availability or non-availability of review information on online stores is different for information in regards to apparel product attributes, product benefits, and store attributes. According to the concept of quality elements suggested by the Kano model, two types of consumer review information were determined: Must-have information (product attribute information about size, fabric, color and design of the apparel product; benefit information about washing & care and comport of the apparel product; store attribute information about responsiveness, disclosure, delivery and after service of the store) and attracting information (attribute information about price comparison; benefit information about coordination with other items, fashionability, price discounts, value for price, reaction from others, emotion experienced during transaction, symbolic features for status, health functionality, and eco-friendly feature; store attribute information about return/refund, damage compensation and reputation/credibility of online store and interactive and dynamic nature of reviews among customers). There were significant differences between the high and low involvement groups in their perceptions of consumer review information.