• 한국식품조리과학회지
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• 제26권3호
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• pp.300-306
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• 2010

Arabica coffee has been classified for trading according to the New York Board of Trade (NYBOT) green coffee classification. The aim of the present study is to evaluate the physiochemical and sensorial characteristics of coffees classified by NYBOT as NY2 (specialty coffee), NY3/4 and NY4/5 (commercial coffee). The density of green coffee was higher for the NY2 sample. The amount of total solids in brewed coffee increase as the green coffee grade decreased and the pH levels decreased as the coffee grade decreased. Descriptive analysis using a 15cm line scale was carried out by 12 trained panelists prepared by espresso coffee and consumer preference tests were carried out by 168 consumers. The NY2 sample had the highest fruity, acidity, sweetness and aftertaste characteristics. In addition, green, rio, sour and astringency characteristics increased as the coffee grade decreased. Acceptance of aroma, flavor, taste balance and overall were higher for the NY2 sample. In the consumer preference test, the NY2 and NY4/5 samples had a similar distribution, but consumers between the ages of 20 to 30 who like to drink brewed coffee more than instant coffee preferred the NY2 than sample over the NY3/4 sample. In conclusion, significant differences were observed among the three groups of green coffee classification in all physicochemical and sensory parameters.

• 가정과삶의질연구
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• 제7권2호
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• pp.31-43
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• 1989

The purposes of this study were to identify the overall levels of consumer problem, consumer competencies and purchase pattern of urban low-income consumers and to examine the factors affecting the consumer problem and the subareas-market environment problem(MEP) and transaction relation problem(TRP). The related factors, that is, independent variables were competencies-related factors(consumption-oriented attitude, attitude on consumerism, consumer knowledge), purchase pattern-related factors (search pattern, credit pattern, peddler pattern) and socio-demorgraphic factors(age, educational level, family size). For this purpose, a survey was conducted by interview using questionaires on 198 homemakers that lived in the poor areas of Seoul. Statistics used for data analysis were Frequency Distribution, Percentile, Mean, Pearson's Correlation, One-way ANOVA, Scheffe-test, Breakdown and Multiple Classification Analysis. Major findings were as follows: 1) In the level of consum r problem were in the middle level and the level of MEP were higher than that of TRP. The attitude on consumption-orientation was so negative, while attitude on consumerism was positive. The level of consumer knowledge was in the middle level. The urban low-income consumers searched a little and depended on credit and peddler in the low level. 2) Consumer problem perceived by urban low-income consumers differed significantly according to attitude on consumerism, credit pattern, monthly charge of peddler purchase. The MEP depended on attitude on consumerism and monthly charge of peddler purchase, and the TRP was affected by credit pattern and attitude on consumerism. Resulting from MCA, the most influencial variable was attitude on consumerism and credit pattern in the consumer problem, and attitude on consumerism in the MEP, and credit pattenr in the TRP.

• 한국의류학회지
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• 제35권9호
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• pp.1099-1111
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• 2011

This study identified the types of consumer review information about apparel products based on consumer satisfaction/dissatisfaction with the availability/non-availability of consumer review information for online stores. Data were collected from 318 females aged 20s' to 30s', who had significant experience in reading consumer reviews posted on online stores. Consumer satisfaction/dissatisfaction with availability or non-availability of review information on online stores is different for information in regards to apparel product attributes, product benefits, and store attributes. According to the concept of quality elements suggested by the Kano model, two types of consumer review information were determined: Must-have information (product attribute information about size, fabric, color and design of the apparel product; benefit information about washing & care and comport of the apparel product; store attribute information about responsiveness, disclosure, delivery and after service of the store) and attracting information (attribute information about price comparison; benefit information about coordination with other items, fashionability, price discounts, value for price, reaction from others, emotion experienced during transaction, symbolic features for status, health functionality, and eco-friendly feature; store attribute information about return/refund, damage compensation and reputation/credibility of online store and interactive and dynamic nature of reviews among customers). There were significant differences between the high and low involvement groups in their perceptions of consumer review information.

• 대한가정학회지
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• 제41권1호
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• pp.187-211
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• 2003

This study deals with activities in internet, including activities on consumer counseling, exchange of consumer information, and anti-sites. Among consumers having utilized those three types of internet sites, this study examines whether their satisfactions on them differ depending on their socio-demographic characteristics and types of activities and also explores which factors critically influence consumer satisfactions. According to the results of this study, consumers' satisfactions were higher when consumers evaluated counselors were objective, rapid, and reliable. Thus, Counselors must be more efficiently classify counseling contents, systematically manage, rapid, active and concrete answers for consumers applying for counseling. Second, in the case of consumer information site, the consumer satisfaction turns out to be positively related with exchange of consumer information, rapid provision of information, and reliability. Connection of relevant specialized information, encouragement of active information exchange among consumers, and objectivity and specialty in consumer information site are necessary to increase the quality of internet consumer information cite. Third, in the case of anti site, consumer satisfaction is higher in cases of consumer being joined in anti-site and in cases of objective and reliable sites. In order to facilitate the utilization of anti-sites, those solutions include systematic classification and management of writings listed in the site, active management of the site managers, reducing criticisms on the writings listed and objectivity of information provided, and active searches for solutions. Finally, in order to preserve consumer sovereignty, policy suggestions include improvements of service qualities provided in internet sites, active advertisement, improvement of site management through charging some fees for users, enhancing specialties.

• 정보처리학회논문지B
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• 제19B권4호
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• pp.231-236
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• 2012

소비자 행동이론에 따르면 사람의 성향은 향상초점과 예방초점이라는 두 가지 조절초점 유형으로 나누어지며, 이 두 가지 성향은 다양한 영역에 있어서 소비자의 의사결정에 많은 영향을 미치는 것으로 알려져 있다. 본 연구에서는 개인화 추천에서 Cold Start 문제의 최소화 및 추천 알고리즘 성능 개선을 위하여 조절초점이론을 적용한다. 이를 위하여, 웹쇼핑 로그로부터 소비자 별 행동변수, 정보탐색활동성 지수를 추출하고 이를 활용한 소비자 조절초점성향 분류 방법을 제안한다. 본 연구는 사회과학/IT 융합 연구로서 소비자행동 이론의 시스템화 가능성을 입증하였다는 점에 있어서 의의를 지니며, 향후 다양한 분야의 이론들을 적용한 IT 서비스에 대한 연구로 확장하고자 한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권4호
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• pp.1101-1121
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• 2024

Thorough understanding of user demands and formulation of product development strategies are crucial in product design, and can effectively stimulate consumer behavior. Scientific categorization and classification of demands contribute to accurate design development, design efficiency, and success rates. In recent years, e-commerce has become important consumption platforms for smart wearable products. However, there are few studies on product design and development among those related to promoting platform product services and sales. Meanwhile, design strategies focusing on real consumer needs are scarce among smart wearable product design studies. Therefore, an empirical consumer demand analysis method is proposed and design development strategies are formulated based on a categorized interpretation of demands. Using representative smart bracelets from wearable smart products as a case, this paper classifies consumer demands with three methods: big data semantic analysis, KANO model analysis, and satisfaction analysis. The results reveal that analysis methods proposed herein can effectively classify consumer demands and confirm that differences in consumer demand categories have varying impacts on consumer behavior. On this basis, corresponding design strategies are proposed based on four categories of consumer demands, aiming to make product design the leading factor and promote consumer behavior on e-commerce platforms. This research further enriches demand research on smart wearable products on e-commerce platforms, and optimizes products from a design perspective, thereby promoting consumption. In future research, different data analysis methods will be tried to compare and analyze changes in consumer demands and influencing factors, thus improving research on impact factors of product design in e-commerce.

• 복식
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• 제56권6호
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• pp.153-167
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• 2006

This study was purposed to analyse the registration of Korean Fashion brands in China and to point out problems by the registration of analogous trademarks to Korean brand names. List of total 137 Korean national brands were used to collect trademarks in Chinese Trademark Office and each trademark was analysed by the nationally and the date of registration. Analogy of registered trademarks were classified by the common traits. In Result, only 61 Korean national brands were registered by Korean fashion firms in China and 37 Korean national brands were registered by Chinese firms or individuals in the same product classification or in the similar fashion product classification. And 22 Korean national brands out of 61 registered by Korean firms were also registered by Chinese firms, which may lead confusion and misidentification to Chinese consumers. Pre-registration by the Chinese firms f9r analogous or identical trademarks of the Korean fashion brand names in analogous product classification should be a serious entry barrier to Chinese market.

• Food Science and Biotechnology
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• 제18권2호
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• pp.307-311
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• 2009

This study examined variations in postmortem meat quality characteristics and consumer sensory evaluations of different pork quality classes in fresh and cooked meat. Pale, soft, and exudative (PSE) meat had the highest drip loss, lightness, and the lowest $pH_{24\;hr}$ whereas dark, firm, and dry (DFD) meat showed the opposite results. When the fresh meat was evaluated by consumer panelists, they could only distinguish the PSE class of meat and it scored lowest in overall acceptability. However, the panelists did not consider cooked PSE or DFD pork to be unacceptable overall, indicating that consumers cannot distinguish the quality of cooked pork.

• 대한인간공학회:학술대회논문집
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• 대한인간공학회 1997년도 추계학술대회논문집
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• pp.372-375
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• 1997

Classivication scheme of usability element for the evaluation of consumer electronic product was developed in this study. Using hierachical structuring and clustering methods, usability element of consumer products interface is developed both for the performance perspective and for the image/appeal perspective of a product. Perfoormance element included variables such as simplicity, directness, learn- ability, flexibility, user support and effectiveness. Image/Appeal element included variables such as sensibility, descriptive impression, evaluation of appeal, and attitude towards the product. The classifi- cation scheme developed in this study is found to be comprehensive and robust relative to other existing paradigms. They can be effectively used and applied for the usability evaluation of consumer electronic products.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권2호
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• pp.807-824
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• 2016

In this paper, a method of mood classification based on user brainwaves is proposed for real-time application in commercial services. Unlike conventional mood analyzing systems, the proposed method focuses on classifying real-time user moods by analyzing the user's brainwaves. Applying brainwave-related research in commercial services requires two elements - robust performance and comfortable fit of. This paper proposes a filter based on Regularized Common Spatial Patterns (RCSP) and presents its use in the implementation of mood classification for a music service via a wireless consumer electroencephalography (EEG) device that has only 14 pins. Despite the use of fewer pins, the proposed system demonstrates approximately 10% point higher accuracy in mood classification, using the same dataset, compared to one of the best EEG-based mood-classification systems using a skullcap with 32 pins (EU FP7 PetaMedia project). This paper confirms the commercial viability of brainwave-based mood-classification technology. To analyze the improvements of the system, the changes of feature variations after applying RCSP filters and performance variations between users are also investigated. Furthermore, as a prototype service, this paper introduces a mood-based music list management system called MyMusicShuffler based on the proposed mood-classification method.