• Management & Information Systems Review
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• v.27
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• pp.1-30
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• 2008

The objective of this paper is to gain a better understanding of factors influencing digital piracy and the use of paid services on the web. A model identifying and describing various factors which affect decision$\sim$makers' attitude toward sharing digital products and online behavioral intentions is constructed based on established theories of human behavior. The relationship between the continuous intention of sharing the products and the intention to use online services is also discussed. Findings show that a independent relationship exists between illegal and legal behaviors, which means stopping piracy by individuals can not lead to their buying of the products. Also while the attitude toward piracy was significantly related to the continuous intention of piracy behaviors, did not necessarily lead to the use intention of online services. The data also show that beliefs concerning consequences of digital piracy were significant enough to alter one's behavioral attitude. There was a significant relationship between perceived consequences and the intention to pirate digital products or to use paid services. The results also show that while the effect of economical and ethical factors were ascertained, that of social and legal factors have not been found. Self$\sim$efficacy has a moderating effect on the relationship between the attitude toward piracy and both intentions of online behavior. The implications of the findings to research and practice are discussed.

• Journal of the Korean Society for Precision Engineering
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• v.20 no.3
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• pp.221-229
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• 2003

In the early phases of the product life cycle, Life Cycle Assessment (LCA) is recently used to support the decision-making fer the conceptual product design and the best alternative can be selected based on its estimated LCA and its benefits. Both the lack of detailed information and time for a full LCA fur a various range of design concepts need the new approach fer the environmental analysis. This paper suggests a novel approximate LCA methodology for the conceptual design stage by grouping products according to their environmental characteristics and by mapping product attributes into impact driver index. The relationship is statistically verified by exploring the correlation between total impact indicator and energy impact category. Then a neural network approach is developed to predict an approximate LCA of grouping products in conceptual design. Trained learning algorithms for the known characteristics of existing products will quickly give the result of LCA for new design products. The training is generalized by using product attributes for an ID in a group as well as another product attributes for another IDs in other groups. The neural network model with back propagation algorithm is used and the results are compared with those of multiple regression analysis. The proposed approach does not replace the full LCA but it would give some useful guidelines fer the design of environmentally conscious products in conceptual design phase.

• The Korean Journal of Applied Statistics
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• v.31 no.3
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• pp.315-328
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• 2018

In this paper, we examine the methodology to predict consumer preferences using several groups of attributes of products and application to real data. In the food industry, studies are in progress to investigate the relationship between product attributes and consumer preferences; consequently, various methodologies are proposed. Among these methodologies, we consider multiple factor analysis (MFA). The result of the MFA enable the division of consumers into four clusters with similar liking and the defining of preference characteristics for each cluster. Also, using the results of multiple factor analysis, we find the partial least squares path model to predict consumer preferences through the characteristics of the product and the characteristics evaluated by consumers. We can understand the relationship between the cluster of consumers and the preferred/undesirable characteristics of products through the partial least squares path model applied to two clusters with different liking. When multiple factor analysis is used in the partial least squares path model, it is possible to investigate relationships between products and consumers by analyzing product characteristics and consumer preferences simultaneously. The results can be applied to product developments and sales which makes this methodology important and useful.

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.1
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• pp.36-45
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• 2012

This study locates factors that affect the intention to use fashion SNS (social network service) and intention for word-of-mouth on fashion SNS. Independent variables were fashion shopping orientation, attitude toward innovative products, fashion leadership, and demographics. A questionnaire method was used to collect data on college students while factor analyses, multiple regression, $x^2$ analyses, and Pearson correlation coefficients were applied in analyzing data. Factor analyses resulted in four factors for fashion shopping orientation, three on attitude toward innovative products and two on fashion leadership. Multiple regression analyses showed that information compatibility of attitude toward innovative products had a significant impact on two models of intention to use fashion SNS and two models of intention for word-of-mouth on fashion SNS. Opinion leadership and gender were significant factors for two models of intention to use fashion SNS, which means that women are likely to have more intention to use fashion SNS. Meanwhile, fashion innovativeness was found to be a significant factor on two models of intention for word-of-mouth on fashion SNS. Shopping orientation factors were not important for any model. $x^2$ analyses showed that women rather than men wanted more information on online fashion shows, general fashion information, and user participation programs. Fashion major students wanted more information on online fashion shows and user participation programs than non-fashion major students.

• Journal of the Korean Wood Science and Technology
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• v.46 no.2
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• pp.166-177
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• 2018

Plant essential oils are defined as fragrant volatile oils extracted from leaves, stems, fruits, flowers, and roots of a plant. Such oils are composed of multiple components and multiple functions. By accumulation of inductive information, various plant essential oils have been studied for using in therapeutic medicine for various diseases. Despite of the apparent advantages of essential oils as a source of therapeutic medicines, plant essential oils have many limitations, including cytotoxic side effects. Therefore, it is necessary to evaluate the toxicity and the mechanisms of cytotoxicity of such oils. In this study, we evaluated the cytotoxicity to human-derived cell lines of 10 plant essential oils provided by National Institute of Forest Science (i.e., Larix kaempferi; Abies holophylla; Zanthoxylum ailanthoides; Pinus parviflora; Tsuga sieboldti; Chamaecyparis pisifera; Cryptomeria japonica; Pinus densiflora; Illicium anisatum; Pinus thunbergii). Cytotoxicity evaluations were accomplished by using CCK-assays and PCR-based cytotoxicity-related marker gene analyses with A549 cell line, and the Detroit551 cell line which are lung and skin cell line. The genes were analyzed included caspase-3 has a role in cell apoptosis, and the other cyclinA, cyclinB, cyclinD, and cyclinE regulated cell cycling for the cell proliferation. By examining the five cytotoxicity-related marker genes by performing real-time PCR and examined the cytostatic gene regulation associated with the various essential oils. The results of this study showed that the degree of cytotoxicity and the cytostatic gene regulation which could give precious information for using the plant essential oil for the clinical usages.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.4
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• pp.1-12
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• 2009

An RFID application needs to collect product's information scattered over the RFID network efficiently according to the globalization of RFID applied enterprises. To be informed of the stock status of products promptly in the supply chain network, especially, it is necessary to support queries that retrieve statistical information of tagged products. Since existing RFID network does not provide these kinds of queries, however, an application should request a query to several RFID middleware systems and analyze collected data directly. This process makes an application do a heavy computation for retrieving statistical information. To solve this problem, we define a new Distributed Continuous Query that finds information of tagged products from the global RFID network and provides statistical information to RFID applications. We also propose a Distributed Continuous Query System to process the distributed continuous query efficiently. To find out the movement of products via multiple RFID systems in real time, our proposed system uses Pedigree which represents trade information of items. Our system can also reduce the cost of query processing for removing duplicated data from multiple middleware systems by using Pedigree.

• Korean Journal of Human Ecology
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• v.19 no.6
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• pp.1103-1113
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• 2010

The purpose of this study was to examine the consumption behaviors regarding environment-friendly agricultural products by food-related lifestyles of housewives. The data were collected from 298 housewives living in Yeungnam region through a self-administered questionnaire during April, 2010. Frequencies, Cronbach's $\alpha$, factor analysis, cluster analysis, one-way analysis of variance, Duncan's multiple range test and chi-square test were conducted by SPSS Windows. The results obtained from this study were as follows. Lifestyles were categorized into five factors by factor analysis: healthy-seeking type, popularity-seeking type, convenience-seeking type, safety-seeking type and taste-seeking type. The respondents belonged to one of three groups by cluster analysis: popularity-seeking group, convenience-seeking group, and wellbeing-seeking group. The main reason given for purchasing environment-friendly agricultural products was safety. The respondents were satisfied with the safety of environment-friendly agricultural products the most. Many respondents purchased environment-friendly agricultural products at large discount markets, and received information about them from mass media. There were significant differences among three groups in the place of purchase environment-friendly agricultural products, information source for environment-friendly agricultural products, most important factor when purchasing environment-friendly agricultural products, the level of satisfaction with environment-friendly agricultural products and the purchase rate of environment-friendly agricultural products among the monthly food expenses.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.37 no.9
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• pp.1169-1174
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• 2013

Most products are indeed governed by multiple failure modes. However, there are few cases in which reliability analysis applies to only one failure mode at a time. Furthermore, reliability data do not include information about failure modes, or the reliability analysis is performed using a representative failure mode. The Weibull shape parameter for failure modes is more important than one for products in the reliability qualification test. This paper presents reliability analysis methods for a mechanical component with multiple failure modes. These methods include the competing failure modes (CFM) method and the mixed Weibull method. Pneumatic cylinder test data with three failure modes are presented to estimate the shape parameter for each separate failure mode. In addition, reliability measures (B10 life, characteristic life) of the pneumatic cylinder considering three failure modes were compared with those assuming a single failure mode.

• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.6
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• pp.924-937
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• 2015

This study surveyed the recognition and credibility of infant's organic cotton apparel and examined the current quality of children's organic cotton clothes available in the market. This study contributes to improve fabric certification programs and safety standards by understanding customer opinions and actual quality. A customer survey revealed that customers believe that organic cotton products should not include chemicals such as pesticides, fluorescent whitening agents and chemical colors; in addition, customers have high expectations for safety as well as worries about the products' validity. Children's underwear was the most purchased item category among organic cotton products. Current organic cotton certification programs are voluntary with multiple organizations that provide various certification standards. A total of 34.2% of children's organic cotton clothes sold at online and offline stores were not certified, and 10.5% had invalid certification information. This may substantially lower the credibility of organic cotton products and requires immediate change. Examination of organic cotton products showed that products do not meet customer expectations for quality and safety: 3 out of 8 products used accessories (buttons and wappens) that include harmful chemicals such as lead, phthalate and formaldehyde, 6 products used fluorescent whitening agents, and 4 products used other fabrics such as rayon, polyurethane and polyester. GOTS mark is the most recognized organic certification, but it still allows the usage of fluorescent whitening agents, which indicates a gap between customer opinions and actual certification standards. Managing national-level mandatory certification programs like food and setting quality standards that meets customer expectations are required to enhance the credibility of organic cotton products.

• Journal of the Korea Fashion and Costume Design Association
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• v.20 no.4
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• pp.41-56
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• 2018

The purposes of this study were to investigate preference of Baekje culture relics and to examine purchasing behaviors of fashion cultural products of adolescents. The subjects were 421 adolescents and measuring instruments consisted of Baekje relics preference items, fashion cultural products purchasing behaviors items, and subject' demographic attributions. The data were analyzed by frequency analysis, $x^2$ test, factor analysis, t-test, ANOVA and Duncan's multiple range test using SPSS program. The results were as follows. First, adolescents were more likely to prefer crown ornaments of the King Muryong in Kongju region, and gilt-bronze incense burner and halo in Buyeo region. Second, as fashion cultural products, adolescents were more likely to prefer T-shirts and accessory items, and modern image. As product selection criteria, they considered aesthetics as the most important factor, followed by symbolism and practicality. Adolescents evaluated the resonable purchase price of fashion cultural products as less than 20,000 won for T-shirts, cap & bag, and less than 10,000 won for accessories. The adolescent's satisfaction of fashion cultural products was low, and the main dissatisfaction was high prices, and the lack of practicality and diversity. Third, the preference for Baekje cultural relics and purchasing behaviors of fashion cultural products differed according to age and sex of adolescents. This study showed that fashion culture products for adolescents need to be designed in a modern sense with a unique cultural symbolism, focusing on T-shirts and accessories items. In addition, fashion cultural products companies should established the product development plan considering the characteristics according to the age and sex of adolescents.