• Journal of the Korean Home Economics Association
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• v.42 no.5
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• pp.107-126
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• 2004

As the information society matures, an analysis on possible outputs of internet usage is needed. Thus, this study was peformed in order to understand the utility cognition and negative outputs of internet users. The method used in this study was a web-based questionnaire that was administered to the internet users. Five hundred married men and women were analyzed with a factor and a multiple regression analysis. Results were as follows: First, many kinds of internet usages - information searching, internet shopping, electronic mail, instant messaging, and decision-making dependent on internet information - were differentiated with age. Second, the altitude about the internet was an important explanatory variable in the types of internet usage. Third, negative outputs of internet usage were great in terms of information resource management and unbalanced scheduling in daily time spent. Fourth, utility cognition was affected by qualitative elements on internet usage more than the quantitative ones.

• International Journal of Internet, Broadcasting and Communication
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• v.7 no.2
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• pp.90-95
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• 2015

This paper describes IEC 61727 standard of Photovoltaic (PV) systems -Characteristics of the utility interface. IEC 61727 standard tests include utility compatibility and personnel safety and equipment protection of PV inverter performance functions. Especially utility compatibility part includes test items of 1) voltage, current and frequency, 2) normal voltage operating range, 3) flicker, 4) DC injection, 5) normal frequency operating range, 6) harmonics and 7) waveform distortion, 8) power factor of PV inverter. Also personnel safety and equipment protection part includes test items 1)loss of utility voltage, 2)over/under voltage and frequency, 3)Islanding protection, 4)response to utility recovery, 5)earthing, 6)short circuit protection, 7)Isolation and switching of PV inverter. In this paper, each item of IEC 61727 standard test is studied and analyzed and finally full tested by PV inverter performance function.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.1
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• pp.159-167
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• 2010

We research a competitive advantage of telecom bundling package of three mobile telecom company by figuring out utility that consumers perceived and focused on mobile telecom and high speed internet in one bundled package. As a method, conjoint analysis was applied. And in conclusion, consumers considered retaining mobile telecom company as the most important factor to them and branding as the following important one when one bundled package of telecom service is provided in total market. When the market is divided into two submarkets and the second largest submarket is analyzed personal bundled package was most important and three year agreement with a stipulated discount has the highest utility. As a result of this analysis, mobile telecom company managers need to organize bundled package after consideration of their current position and brand power in the market, and then devise proper market strategy

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.3
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• pp.792-812
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• 2022

Multi-agent systems often need to achieve the goal of learning more effectively for a task through coordination. Although the introduction of deep learning has addressed the state space problems, multi-agent learning remains infeasible because of the joint action spaces. Large-scale joint action spaces can be sparse according to implicit or explicit coordination structure, which can ensure reasonable coordination action through the coordination structure. In general, the multi-agent system is dynamic, which makes the relations among agents and the coordination structure are dynamic. Therefore, the explicit coordination structure can better represent the coordinative relationship among agents and achieve better coordination between agents. Inspired by the maximization of social group utility, we dynamically construct a factor graph as an explicit coordination structure to express the coordinative relationship according to the utility among agents and estimate the joint action values based on the local utility transfer among factor graphs. We present the application of such techniques in the scenario of multiple intelligent vehicle systems, where state space and action space are a problem and have too many interactions among agents. The results on the multiple intelligent vehicle systems demonstrate the efficiency and effectiveness of our proposed methods.

• Fashion & Textile Research Journal
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• v.3 no.3
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• pp.249-256
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• 2001

This study was to investigate difference across socioeconomic groups in factors of purchase intention of apparel in internet shopping mall and in satisfaction were internet shopping mall. A questionnaire was administered to collage students majoring in fashion design during May of 2001. Data was analyzed by using Factor analysis, T-test, one-way ANOVA, Duncan test, ${\chi}^2$-test. Factor analysis yield three factors of purchase intention, purchase stimulus, convenience and economic and rationality. Significant differences were found across levels of monthly pocket money and types of payment for purchase apparel of internet shopping mall purchase stimulus (factor 1). In convenience and economics (factor 2), differences were also significant across levels of purchase frequency, product price and payment ways of internet sopping mall. Significant difference was identified across sex type and levels of product price purchased in internet shopping mall (factor 3). Regarding internet shopping mall satisfaction, differences were significant across levels monthly pocket money and apparel purchase frequency of in internet shopping mall.

• Journal of the Korean Home Economics Association
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• v.43 no.7 s.209
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• pp.117-128
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• 2005

The purposes of this study were 1) to examine the conceptual structure of shopping value, fashion shopping mall attributes and emotions related to internet shopping, 2) to compare between hedonic consumers and utility consumers of fashion shopping mall attributes, emotions and purchasing intention and 3) to investigate the effects of shopping value, fashion shopping mall attributes, emotions and purchasing intention on purchasing behavior in internet fashion shopping malls. Data were obtained from 423 internet fashion shopping mall consumers who have bought products or visited an internet fashion shopping mall. The data were analyzed by using factor analysis, Cronbach's alpha, t-test and discriminant analysis. The results showed that shopping values perceived by internet fashion shopping mall consumers consisted of two factors: Hedonic value and Utility value. Internet fashion shopping mall attributes were composed of Visual information, Loading speed, Space composition, Product assortment, Checkout service and Help desk. Emotions were composed of Excitement Confidence, Displeasure and Uneasiness. There results demonstrated that hedonic consumers were more likely to perceive the factors of fashion shopping mail attributes, to experience various, emotions and to have more purchasing intention than utility consumers. Additionally, the findings suggest that shopping value is important in predicting the purchasing behavior of consumers' at internet fashion shopping malls. They gave insights into the promotion development of internet fashion shopping malls. Implications are drawn for the information useful to consumer behavior researchers and retailers of internet fashion shopping malls.

• Journal of the Korea Fashion and Costume Design Association
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• v.12 no.4
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• pp.183-195
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• 2010

The purpose of this study is to find out the difference of evaluation of product and service quality according to consumers' attitude toward price in internet clothing purchase. This study surveyed 400 male and female consumers in their 20s-30s for empirical analysis in August 2010 who have ever purchased clothing through internet shopping malls. For statistical analysis, descriptive statistics, factor analysis, ANOVA analysis, Duncan test and cluster analysis are carried out using SPSS for Windows 12.0. The results are as follows. First, consumers' attitude toward price dimensions in internet clothing purchase are found 6 factors of sales proneness, price-prestige, price-comparison, low price, utility value and pricequality. Second, based on the attitude toward price dimensions, consumers are categorized into utility value seeking, sales price seeking, multi-dimension price seeking, lack price consciousness, low price seeking group. Third, there are significant differences in product quality and service quality depending on attitude toward price-based consumer types. In particular, sales price seeking and multi-dimension price seeking groups have higher values on product and service quality than other groups. The results of this study will help internet fashion mall businesses to develop price strategy and manage product and service quality.

• Journal of the Korea Fashion and Costume Design Association
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• v.11 no.1
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• pp.63-75
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• 2009

This study aims to find out the dimension of consumers' shopping values in internet clothing purchase, and the relation of their relational quality with shopping malls and their shopping behavior depending on the type of their shopping values. For this purpose, this study surveyed 343 male and female consumers in their 20s or 30s for empirical analysis who have ever purchased clothing through internet shopping malls. Respondents are selected using the convenience sampling through internet survey in July 2008. For statistical analysis, descriptive statistics, factor analysis, ANOVA analysis, Duncan test, and $X^2$-test are carried out using SPSS for Windows 12.0. The results are as follows. First, consumers' shopping value dimensions in internet shopping for clothes are found 4 factors of fun, economic utility, information, and shopping convenience. Second, based on shopping value dimensions, consumers are categorized into an practicality-seeking, an economic utility/fun-seeking, a fun-seeking, and an information/fun-seeking group. Third, there are significant differences in relational quality, customer loyalty, favorable word of mouth, and repurchase intention depending on shopping value-based consumer types. In particular, the economic utility/fun-seeking and information/fun-seeking group have higher values on relational quality and shopping behavior variables than other groups. Thus internet shopping mall businesses need to recognize these group of consumers as their core customers and develop programs to maintain a long-term relationship with them.

• Journal of the Korean Home Economics Association
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• v.40 no.4
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• pp.105-124
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• 2002

The purpose of this study was to analyze searching value types of Internet consumer information and to identify difference of information characteristics by searching value types. The online survey was conducted by 262 netizens. We used SPSS10.0 package and statistical analysis as follows : factor analysis, cluster analysis, one-way ANOVA, and Duncan's multiple range test. The results were summarized as follows: 1) searching value types of Internet consumer information were classified into 3 types - high benefit/high risk type, middle benefit/middle risk type, high benefit/low risk type. 2)In the degree of significance for information characteristics, consumer recognized accuracy as the most important then comes variability, utility, up-to-dateness, and reliability in that order. 3) high benefit/high risk type among searching value types was evaluated the most affirmative types for Internet consumer information.

• Journal of Digital Contents Society
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• v.10 no.2
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• pp.309-318
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• 2009

The youth of this research using the Internet, navigate to the factors and relationships with Internet addiction, and the sense of seeking and want to verify the effectiveness of the regulation of interpersonal relationships. Who was studied 347 high school students in the Gyeonggi Province. SPSS win 13.0 program to study the reliability coefficient was calculated and analysis of care. Regression analysis, control theory verification (MMR) was conducted. Factor analysis using the Internet when the Internet addiction affect, interpersonal relationships and the pursuit of a sense of interaction was confirmed by the positive control the effects. Verification results of this research using the Internet to the fact that Internet addiction Static (+) gave. Pursuit of interpersonal relationships and a sense of control and the interaction effects were different.