• Culinary science and hospitality research
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• v.23 no.5
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• pp.140-150
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• 2017

The purpose of the study was to provide useful implications for management of dessert cafe by discovering selection attributes for product satisfaction and long-term orientation. Using SPSS 22.0 and AMOS 220 Version, the collected data from customers of dessert cafe in Seoul and metropolitan areas were analyzed for frequency analysis, exploratory factor analysis, confirmatory factor analysis, reliability analysis, and covariance structure analysis. As results of hypothesis verification, firstly, service standard and product diversity had a significant effect on product satisfaction of dessert cafe. Secondly, tastes and nutrients influenced positively long-term orientation of dessert cafe. Meanwhile, service standard, mood, and product diversity did not have a significant effect on long-term orientation. Thirdly, product satisfaction affected positively long-term orientation. The results of the study provided useful implications for management of dessert cafe.

• Journal of the Korean Society of Costume
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• v.25
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• pp.41-62
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• 1995

This research was intended to investigate how risk perception and risk reduction behavior by consumers differ according to different product characteristics of clothing. The responses of 318 female college students living in Seoul and surrounding vicinities were collected and analyzed. Inner wear, blue-jean pants, coat were selected as representing each clothing product characteristics. Frequencies distribution, regression and correlation coefficient were utilized for statistical analysis. Results are as follows. 1. The type of perceived risk and risk reduction behavior differed according to product characteristics of clothing. Physical and performance risk were more highly perceived for the purchase of innerwear. However, for the purchase of jean pants and coat, socio-psycho-logical and economic risk were also perceived highly because the rate of fashion change, social symbolism, and coordination with other clothing items become more important characteristics. To reduce perceived risk, dependency on past purchase experiences and shop-ping were mostly preferred method regardless of product characteristics of clothing. 2. Risk type as determinant variables for predicting overall risk differed according to product characteristics of clothing. But fashionability and usefulness were common determinant risk variables, which identifies typical characteristics of clothing product.

• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.3
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• pp.539-553
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• 2016

This study investigated the influence of consumers' self-construal and self-monitoring on brand product preference by moderating brand visibility. Brand visibility consisted of product typicality and brand salience. The study results showed that respondents preferred products with high product typicality and low brand salience. Respondents with interdependent self-construal and high self-monitoring also showed a higher preference for high product typicality and low brand salience versus respondents with independent self-construal and low self-monitoring. Respondents preferred a product when they recognized a brand name, but brand visibility should be exposed naturally. Based on these results, this study has practical implications for the importance of maintaining brand identity and the appropriacy of brand logo size.

• Journal of Information Technology Applications and Management
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• v.26 no.6
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• pp.89-101
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• 2019

Many researchers have been focused on designing beauty product recommendation system for a long time because of increased need of customers for personalized and customized recommendation in beauty product domain. In addition, as the application of the deep neural network technique becomes active recently, various collaborative filtering techniques based on the deep neural network have been introduced. In this context, this study proposes a deep neural network model suitable for beauty product recommendation by applying Neural Collaborative Filtering and Generalized Matrix Factorization (NCF + GMF) to beauty product recommendation. This study also provides an implementation of web API system to commercialize the proposed recommendation model. The overall performance of the NCF + GMF model was the best when the beauty product recommendation problem was defined as the estimation rating score problem and the binary classification problem. The NCF + GMF model showed also high performance in the top N recommendation.

• Journal of the Korean Operations Research and Management Science Society
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• v.29 no.1
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• pp.101-112
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• 2004

Customer satisfaction level is usually measured in terms of price, qualify, customization, after-sale-service, product variety etc. Each firm sets up a distinctive production/marketing strategy to gain competitive advantage by Prioritizing the customer satisfaction measures. The market differentiation strategy directly results in supply chain performance such as lead time, inventory, customer fill rate and market share. Product proliferation desirable in customization sense often conflicts the economies of scale effect in production side. This paper focuses the relationship between product variety and market share. Specifically, we investigate how introduction of new product affects the current market share, i.e., formation of customer preference and provide some insight into the optimal range of product variety.

• Journal of Korean Society for Quality Management
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• v.34 no.4
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• pp.93-101
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• 2006

Robust parameter design is an off-line production technique for reducing variation and improving the quality of products and processes by using product arrays. However, the use of the product arrays usually requires a large number of runs. To overcome the drawback of the product array, the combined array can be used. Also optimizing multiple responses is increasingly important in industry. Using simultaneous optimization measures, we can deal with the multiple response case. In this paper we compare the simultaneous optimization using the Taguchi's product array with using the combined array. And models possible to set on combined arrays are also investigated and compared with the cases of product arrays.

• Korean Journal of Computational Design and Engineering
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• v.6 no.4
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• pp.229-235
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• 2001

As the networks (i.e., intranet and internet) proliferate all over the world, it is inevitable to move some (or all) of the enterprise activities into virtual spaces. Differently from business data, product data have complex semantics and thus are not properly exchanged among different application programs. Even though some neutral formats of product data have been developed by standard organizations, exchanging them among various application programs still needs the comprehensive understanding of the complex semantics. Recently, it is widely recognized that capturing more knowledge is the next step to overcome the current difficulties on sharing product data. In this paper, we utilize the ontology concept in order to facilitate information search far product data in the internet environment. A prototype of search system implemented using the ontology for automobile product data is presented.

• International journal of advanced smart convergence
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• v.10 no.4
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• pp.14-21
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• 2021

The purpose of this study is to investigate the effect of consumers' engagement through SNS sports advertisements on purchase intention through advertising attitudes and product trust for the disabled. In other words, it was intended to investigate how the disabled people's intention to purchase products is formed by acting on various sports product advertisements that are seen during SNS activities. Accordingly, a survey was conducted on 300 people with disabilities participating in sports for the disabled. As a result, it was found that functional engagement had a positive effect on both advertising attitude and product trust, and advertising attitude and product trust had a positive effect on purchase intention. However, emotion engineering and communal engineering were found to have a negative effect on advertising attitudes and not on product trust.

• Journal of the Korea Society of Computer and Information
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• v.23 no.12
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• pp.123-129
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• 2018

The purpose of this paper is to draw a conclusion on the impact of intermediate software on enterprise results. In this paper, product innovation and product reliability are especially used as analytical factors. An exploratory analytical study is conducted on the competitiveness of intermediate software, in the hope of gaining a new understanding of the competitiveness of intermediate software. Data are analyzed using such quantitative analytical tools as SPSS and AMOS. Using reliability analysis, validity analysis and structural equation model analysis, the final results are achieved. According to the analysis results, we can draw the following conclusions: the competitiveness of intermediate software has a positive impact on the innovation of software products. The competitiveness of intermediate software doesn't have a positive impact on the reliability of software products. Product innovation has a positive impact on enterprise results. Product reliability also has a positive impact on enterprise results. By analyzing the conclusions, we can make certain suggestions and draw implications on the competitiveness of China's software industry.

• Journal of the Korean Mathematical Society
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• v.59 no.4
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• pp.789-804
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• 2022

Striking result of Vybíral [51] says that Schur product of positive matrices is bounded below by the size of the matrix and the row sums of Schur product. Vybíral used this result to prove the Novak's conjecture. In this paper, we define Schur product of matrices over arbitrary C^*-algebras and derive the results of Schur and Vybíral. As an application, we state C^*-algebraic version of Novak's conjecture and solve it for commutative unital C^*-algebras. We formulate Pólya-Szegő-Rudin question for the C^*-algebraic Schur product of positive matrices.