• Journal of Families and Better Life
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• v.19 no.6
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• pp.19-33
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• 2001

This study was performed to make suggestions for improving consumer welfare in public utility pricing. The consumer related issues in the process of public utility pricing and the consumers' burden on expenditures for public utility were reviewed. Due to the large proportions of the expenditures for public utility to total consumption expenditures, the poor and the younger consumers had more disadvantages in rising consumer price on public utility than the rich and the older. Finally, four kinds of alternatives were suggested to solve the consumer problems in public utility pricing.

• Asia pacific journal of information systems
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• v.27 no.2
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• pp.99-125
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• 2017

In this study, we propose an operations model to automate a home energy management system (HEMS) that utilizes an energy storage system (ESS) in consideration of consumer utility. Most previous studies focused on the system for the profits obtained from trading charged energy using large-scale ESS. By contrast, the present study focuses on constructing a home-level energy management system that considers consumer's utility over energy consumption. Depending on personal preference, some residential consumers may prefer consuming additional energy to earn increased profits through price arbitrage and vice versa. However, the current system could not yet reflect on this aspect. Thus, we develop an operations model for HEMS that could automatically control energy consumption while considering the level of consumer's preference and the economic benefits of using an ESS. The results of simulations using a dataset of the Korean market show that an operations policy of charging and discharging can be changed depending on consumer's utility. The impact of this policy is not ignorable. Moreover, the technical specifications of ESS, such as self-discharge rate and round-trip efficiency, can affect the operations policy and automation of HEMS.

• Journal of Information Technology Applications and Management
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• v.16 no.4
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• pp.93-107
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• 2009

This study investigated consumer preferences for Internet medical information service in China using the multi-attribute utility theory. The multi-attribute utility theory is a compositional approach for modeling consumer preferences wherein researchers calculate the overall service utility by summing up the evaluation results for each attribute. We found that Chinese Internet medical information users consider the availability of information and quick response to be the most important attributes. Further, they think that the comment feature is less important as compared to other attributes such as costs and updates. In addition, we found that the Internet users having more Internet experience consider these attributes to be more important as compared to the people who are just beginning to surf the Internet. For any successful Internet business, Internet marketers should assess individual-level preference and accordingly organize a fresh campaign. As of now, Internet marketers need estimation methods to predict the market performance of new services in many different business environments. We believe that the multi-attribute utility theory is a useful approach in this regard.

• The KIPS Transactions:PartD
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• v.15D no.3
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• pp.421-428
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• 2008

Collaborative filtering is a popular technique used for the recommendation system, but its performance, especially the accuracy of recommendation, depends on how to define the reference group. This paper proposes a new contents recommendation scheme based on collaborative filtering technique whose reference groups are created by consumer's affection and consumption type in order to improve the accuracy of recommendation. In this paper, joy, sadness, anger, happiness, and relax are considered as the consumer's affection. And, low-utility / low-pleasure, low-utility / high-pleasure, high-utility / low-pleasure, and high-utility / high-pleasure are considered as the consumer's shopping types. Experimental results show that the proposed scheme improves the accuracy of recommendation compared to the recommendation scheme considering neither consumer's affection nor consumption type.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.7
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• pp.1332-1340
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• 2001

This study was designed (1) to examine the results of previous qualitative research on clothing-wearing motives by quantitative approach, (2) to explore the concept of clothing utility, utility-reduction and discard, and (3) to investigate the impact of clothing-wearing motives on consumer attitudes and consuming-behaviors. Date were collected by questionnaire from 443 collegiate students between August and September of 2000, and 396 questionnaires were analyzed. 3 groups were identified on the basis of clothing-wearing motives and named by extroversion group, introversion group, and least clothing-congnizing group respectively. This supported the qualitative results in part, especially in the direction of motives. Clothing utility-reduction factors were identified as appearance demage, social-psychological damage, and abandonment-causing damage. The 3 groups were responded on utility-reduction differently, thus clothing-wearing motive variable was determined as useful in fashion marketing.

• Proceedings of the KIPE Conference
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• 2001.10a
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• pp.484-488
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• 2001

The grid voltage of commercial utility power source hi Japan and USA is 100rms, but in China and European countries, it is 200rms. In recent years, In Japan 200Vrms out putted single phase three wire system begins to be used for high power applications. In 100Vrms utility AC power applications and systems, an active voltage clamped quasi-resonant Inverter circuit topology using IGBTs has been effectively used so far for the consumer microwave oven. In this paper, presented is a half bridge type voltage-clamped high-frequency Inverter type AC-DC converter using which is designed for consumer magnetron drive used as the consumer microwave oven in 200V utility AC power system. This zero voltage soft switching Inverter can use the same power rated switching semiconductor devices and three-winding high frequency transformer as those of the active voltage clamped quasi-resonant Inverter using the IGBTs that has already been used for 100V utility AC power source. The operating performances of the voltage source single ended push pull type Inverter are evaluated and discussed for consumer microwave oven. The harmonic line current components In the utility AC power side of the AC-DC power converter operating at ZVS­PWM strategy reduced and improved on the basis of sine wave like pulse frequency modulation and sine wave like pulse width modulation for the utility AC voltage source.

• Asia pacific journal of information systems
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• v.18 no.3
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• pp.1-20
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• 2008

Based on the multi-attribute utility theory (MAUT), we present a survey method to measure consumer preferences. The multi-attribute utility theory has been used to make decisions in OR/MS field; however, we show that the method can be effectively used to estimate the demand for new services by measuring individual level utility function. Because conjoint method has been widely used to measure consumer preferences for new products and services, we compare the pros and cons of two consumer preference survey methods. Further, we illustrate how swing weighing method can be effectively used to elicit customer preferences especially for new telecommunications services, Multi-attribute utility theory is a compositional approach for modeling customer preference, in which researchers calculate overall service utility by summing up the evaluation results for each attribute. On the contrary, conjoint method is a decompositional approach, which requires holistic evaluations for profiles. Partworth for each attribute is derived or estimated based on the evaluation, and finally consumer preferences for each profile are calculated. However, if the profiles are quite new and unfamiliar to the survey respondents, they will find it very difficult to accurately evaluate the profiles. We believe that the multi-attribute utility theory-based survey method is more appropriate than the conjoint method, because respondents only need to assess attribute level preferences and not holistic assessment. We chose swing weighting method among many weight assessment methods in multi-attribute utility theory, because it is designed to perform in a simple and fast manner. As illustrated in Clemen and Reilly (2001), to assess swing weights, the first step is to create the worst possible outcome as a benchmark by setting the worst level on each of the attributes. Then, each of the succeeding rows "swings" one of the attributes from worst to best. Upon constructing the swing table, respondents rank order the outcomes (rows). The next step is to rate the outcomes in which the rating for the benchmark is set to be 0 and the rating for the best outcome to be 100, and the ratings for other outcomes are determined in the ranges between 0 and 100. In calculating weight for each attribute, ratings are normalized by the total sum of all ratings. To demonstrate the applicability of the approach, we elicited and analyzed individual-level customer preference for new telecommunication services-WiBro and HSDPA. We began with a randomly selected 800 interviewees, and reduced them to 432 because other remaining ones were related to the people who did not show strong intention for subscription to new telecommunications services. For each combination of content and handset, number of responses which favored WiBro and HSDPA were counted, respectively. It was assumed that interviewee favors a specific service when expected utility is greater than that of competing service(s). Then, the market share of each service was calculated by normalizing the total number of responses which preferred each service. Holistic evaluation of new and unfamiliar service is a tough challenge for survey respondents. We have developed a simple and easy method to assess individual level preference by estimating weight of each attribute. Swing method was applied for this purpose. We believe that estimating individual level preference will be quite flexibly used to predict market performance of new services in many different business environments.

• Journal of the Korean Society of Costume
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• v.58 no.8
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• pp.158-169
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• 2008

The purposes of this study were to Investigate the relationships between knitwear purchase motive and female consumer satisfaction, and to reveal how knitwear purchase motives and demographic variables influence the consumer satisfaction. The subjects were 263 female college students and working women residing in metropolitan area of Seoul. The data were analyzed by using descriptive analysis, factor analysis, Cronbach's ${\alpha}$-reliability coefficient, t-test, Pearson's correlation coefficient, and multiple regression analysis. Five dimensions of knitwear purchase motive were derived by factor analysis; expressive, others' influence/deficiency, quality/social, situation, and utility motive. Consumer satisfactions were classified into 3 dimensions; appearance, practicality, and quality satisfaction. The expressive motive had significant positive relationships with the satisfaction of appearance and quality satisfaction. The quality/social motive had positive relationships with the satisfaction of appearance, practicality, and quality. Utility motive had positive relationships with the satisfaction of appearance and practicality. Working women had higher situation motive and quality/social motive than the female college students had. The higher the age was, the higher the score on situation motive and quality/social motive were. The higher the social class was, the higher the score on expressive motive was. The higher the income was, the higher the score on appearance, practicality, and quality satisfaction were. The consumer satisfaction of knitwear was influenced most by the quality/social motive and next by the expressive motive, the income, and the utility motive in order.

• Journal of the Korean Home Economics Association
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• v.43 no.4 s.206
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• pp.17-30
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• 2005

The Purpose of this study was firstly to identify the living characteristics of apartment residents in relation to the behavioral patterns in the kitchen and utility space and secondly to present the basic material necessary for planning the kitchen and utility space of future desirable apartments with consideration for resident usage. The findings are summarized as follows : 1) Behavioral patterns in the kitchen and utility space were classified as personal life, family with harmony, talking with visitors, caring for children, cleaning, cooking, and keeping and connecting. 2) Behavioral patterns in He kitchen and utility space showed patterns on personal life, family with harmony, and talking with visitors and were used in the kitchen including the dining room. 3) As the required kitchen size and sink arrangement varied according to the kinds of furniture appliance, plan for the kitchen wok is very necessary.

• Journal of the Korea Convergence Society
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• v.7 no.5
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• pp.181-188
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• 2016

This study investigated consumer convergence preferences for healthcare information service in social media using the multi-attribute utility theory. The multi-attribute utility theory is an approach for compositional modeling attributes wherein researchers compute the overall service utility by aggregating the evaluation results for attribute values. We found that healthcare information service consumers in social media evaluate the service preference through the multi attributes - Update, Cost, Usefulness, Usability, Reliability. And the study shows that individual preference by estimating weight of each attribute in the services influences the service use intention. So we believe that estimating preferences with multi-attribute utility theory will predict business success of the services in a new media, and for a successful business of the social media services marketers should assess the consumer's preference using the multi-attributes.