• Fashion & Textile Research Journal
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• v.6 no.4
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• pp.427-432
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• 2004

We evaluate what kinds of differences are existed to the visual sensitivity of college students m Daegu and Daejeon. Evaluation used the produced basic pattern to change modeling element of figure, direction, proportion, and color. The results are as below. The circle is preferred to the figure sensitivity and the triangle in Daegu and triangle and quadrangle in Daejeon is disliked. The direction sensitivity shows the difference of preferences according to figure. The angle of $0^{\circ}$ and $90^{\circ}$ which could be felt stability is preferred in general. In proportion sensitivity, the basic figure 1:1 rectangular proportions are preferred. The color sensitivity I shows the differences of preference according to figure and there are difference to the area in the degree of aversion.

• Agribusiness and Information Management
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• v.5 no.1
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• pp.20-30
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• 2013

This paper presents a model explaining industrywide information systems (IS) integration in the agri-industry. Using a theoretical frame of value configuration analysis and IS integration extent we study 15 organizations. We find that product sensitivity, continuous production, value chain captains, and value creation logic explain the industry-wide IS integration. Incompatible value creation logic among stakeholders and the lack of presence of "value chain captains" - powerful actors dominating the entire industry - has and negative impact on industry-wide integration. On the other hand, product sensitivity and continuous production process led to higher levels of integration.

• Fashion & Textile Research Journal
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• v.12 no.1
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• pp.103-108
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• 2010

The purpose of this study was to analyze the effect of fiber contents of socks fabric on the subjective sensitivity and emotional sensibility of consumers. We investigated the relationship of subjective sensitivity and sensibility according to fiber contents and color value of socks. We made five plain knit fabrics as specimens, with a combination of chitosan/SUS fiber contents and three value levels of grayish color. The subjects were 15 males and 54 females in the twenties. The data analysis was conducted with Pearson's correlation analysis, ANOVA, Duncan multiple range test, and regression analysis. The major finds were as follows: A factor analysis showed that subjective sensitivity was classified into five factors (bulky, surface-rough, elastic, attention, and variety) and emotional sensibility was into four factors (salience, stability, luxury, and activity). There were significant correlation between the subjective sensitivity and emotional sensibility. The subjective sensitivities of 'surface-rough' and 'elastic' were significantly influenced by fiber contents. The sensibilities of 'salience' and 'luxury' were significantly influenced by fiber contents. Where as the 'salience' and 'roughness' were significant influenced by color value level. According to sex, there were significantly difference in 'bulky', 'elastic' and 'salience'. As a result of the regression analysis, preference, consuming desire and satisfaction appears to be closely related with all subjective sensitivity and sensibility.

• Fashion & Textile Research Journal
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• v.6 no.6
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• pp.785-798
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• 2004

Silk has always been coveted as the finest and richest of all fibers woven into cloth. The earlist woven silk fragments found to date come from the third century B.C. The filament created and spun into cocoon by the larva of the silk moth, silk was exported from China to Europe from as early as the third century B.C. Silk industry is export leading industry that guide national textile industry development after the 1960s in Korea. Korean silk industry reached to peak at 1975 is displaying appearance that export scale is decreased recently. Various kinds methods can be proposed for high value added in silk industry, the research about color is essential. The importance of color is increasing in modern textile and fashion industry. Color is important factor of textile and fashion industry because color affects strong influence in human's sensitivity. Silk fabric can give high added value developing high sensitivity color because dye ability is superior. In this study I planned the "Utility Silk Color Code 288" for efficient color management in silk industry. "Utility Silk Color Code 288" are attached the Munsell notation and dyeing data which can reappear the color when needed. This research constructs for insufficient domestic color infrastruction and expect that basic role to develop the competitive power for Korean silk industry.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.2
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• pp.117-128
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• 2020

The aim of this study was to examine price sensitivity of industrial products purchased via a group buying system and how industrial products for a group buying system differ from general industrial products, and then identify the major factors in selecting products and the important determinants in purchasing industrial products for school foodservices. The survey was conducted with 250 dietitians (teachers) in Gyeonggi-do Province, who were using industrial products for a group buying system and general industrial products. A paired t-test showed a difference in satisfaction between industrial products for a group buying system and general industrial products by factors, while statistically significant differences were found for red pepper paste, fermented soybean paste and soy sauce in all nine satisfaction factors, including product quality, packaging state, labeling, hygiene, item diversity, specification diversity, price appropriateness and supply. Moreover, analyzing price sensitivity for industrial products for a group buying system, using the PSM method with respect to the issue of high price, showed that the respondents considered that the current unit purchase prices were high for all items investigated. This study suggests that schools would purchase more industrial products for a group buying system, when the pricing of the products are considered with the purchase intention of dietitians (teachers).

• Journal of Sensor Science and Technology
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• v.32 no.4
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• pp.257-257
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• 2023

• 중국학논총
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• no.71
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• pp.151-167
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• 2021

Looking at the economic effects of the Chinese coal industry analyzed in this text, the following results could be drawn. First, according to the analysis result of the influence coefficient of the Chinese coal industry in 2017, it is mainly rural and regional development It was analyzed that it had a great influence on the necessary sectors. Second, the sensitivity coefficient of the Chinese coal industry in 2017 was presented in the order of electricity and heat production and supply, monetary finance and other financial services, business services, refined petroleum and nuclear fuel processing products, wholesale business, and retail business. It is judged that this is more influenced by government policy than by influence coefficient.

• Journal of Information Technology Applications and Management
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• v.21 no.4_spc
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• pp.381-401
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• 2014

This study proposes the accurate economic effect (employment inducement coefficient, hiring inducement coefficient, index of the sensitivity of dispersion, index of the power of dispersion, and ratio of value added) of Korea software industry by analyzing the inter-industry relation using the modified inter-industry table. Some previous studies related to the inter-industry analysis were reviewed and the key problems were identified. First, in the current inter-industry table publishedby the Bank of Korea, the output of software industry includes not only the output of pure software industry (package software and IT services) but also the output of non-software industry due to the misclassification of the industry. This causes the output to become bigger than the actual output of the software industry. Second, during rewriting the inter-industry table, the output is changing. The inter-industry table is the table in the form of rows and columns, which records the transactions of goods and services among industries which are required to continue the activities of each industry. Accordingly, if only an output of a specific industry is changed, the reliability of the table would be degraded because the table is prepared based on the relations with other industries. This possibly causes the economic effect coefficient to degrade reliability, over or under estimated. This study tries to correct these problems to get the more accurate economic effect of the software industry. First, to get the output of the pure software section only, the data from the Korea Electronics Association(KEA) was used in the inter-industry table. Second, to prevent the difference in the outputs during rewriting the inter-industry table, the difference between the output in the current inter-industry table and the output from KEA data was identified and then it was defined as the non-software section output for the analysis. The following results were obtained: The pure software section's economic effect coefficient was lower than the coefficient of non-software section. It comes from differenceof data to Bank of Korea and KEA. This study hasa signification from accurate economic effect of Korea software industry.

• 한국생물공학회:학술대회논문집
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• 2003.04a
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• pp.412-413
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• 2003

• Journal of Applied Biological Chemistry
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• v.64 no.2
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• pp.193-193
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• 2021