• Journal of KIISE:Computing Practices and Letters
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• v.14 no.9
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• pp.835-840
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• 2008

This paper proposes an enhanced recommendation technique for personalized e-commerce portal analyzing various attitudes of customer. The attitudes are classifies into three types such as "purchasing product", "adding product to shopping cart", and "viewing the product information". We implicitly track customer attitude to estimate the rating of products for recommending products. We classified user groups which have similar preference for each item using implicit user behavior. The preference similarity is estimated using the Cross Correlation Coefficient. Our recommendation technique shows a high degree of accuracy as we use age and gender to group the customers with similar preference. In the experimental section, we show that our method can provide better performance than other traditional recommender system in terms of accuracy.

• Food Science and Preservation
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• v.16 no.2
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• pp.204-210
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• 2009

This study investigated consumer grape recognition and preference, to improve grape quality. The questionnaire explored consumption frequency, purchasing locations, amounts purchased, general preferences, seedless/seeded preference, and external/internal quality factors. Answers to 519 questionnaires were analyzed both descriptively and quantitatively using SPSS for Windows(Version 14.0). The principal results were as follows: 46.1% of respondents purchased at wholemarket; 38.5% purchased 3-5 bunches at any one time; 76% preferred grapes to other fruits; and 49.8% purchased bigger(and not smaller) grapes. Most customers preferred seedless grapes. The most important external quality factor was bunch fullness and the most significant internal factor was sweetness.

• Journal of the Korea Fashion and Costume Design Association
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• v.15 no.4
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• pp.29-45
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• 2013

The purpose of this study is to provide base line data required to establish a viable knitwear marketing strategy targeting young people by comparing and analyzing preference and buying behavior of customers in their twenties. A survey was conducted in 2009 and 2013 on people in their 20's male and female living in Busan. The total of 362 people participated in the survey and the results are as follows: Firstly, the seeking factors for knitwear were utilization factor, functionality factor, care for clothing factor, economics factor and vogue factor. Secondly, a differentiated marketing strategy targeting 20-something customers needs to be established as there was a steep rise in the number of customers purchasing clothes on online shopping malls using smart phone devices according to the survey.'Low-price, broad-line strategy'is also required as those surveyed preferred stores offering a wide choice of designs with reasonable price. Considering the survey results that a growing number of people tended to buy a variety of knitwear items regardless of the seasons, knitwear production needs to be diversified in terms of designs and materials. Thirdly, the survey revealed that pastel-colored knitwear was preferred for spring/summer season whereas knitwear with achromatic colors was voted the most-preferred one during the autumn and winter season. In terms of knitwear shapes, the gap between genders continues to narrow and tendency sensitive to fashion trend became more apparent reflecting the change of the times.

• Journal of the Korean Society of Costume
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• v.52 no.2
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• pp.1-17
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• 2002

The Traditional Look, a class of fashion, represents image based on British aristocratic authenticity and cultural heritage as unchangeable and lasting classic fashion style. And recently, it keeps up with the trend of modern and young consumers' desire by putting various images. The purpose of the study is to investigate the concept, image and present market condition and to analyze degree of consumers' brand awareness of Traditional brand in pursuit of developing new market and ensuring power between competitive brands. From above work, surveyed on degree of brand awareness and interest, preference, associable image and purchase factors coming from consumers. 606 data were analyzed with SPSS package. Frequency, Factor analysis, one-way ANOVA, Multiple response, and correlation were applied. The results of this study were as follows. 1. Traditional brand has a high degree at consumers' brand awareness but comparatively lower at interest in it. In band name, while the Burberry has the highest brand awareness, the Polo and the Hunt take first and second position in a purchasing rate. Brand preference has tendency to be concentrated on certain brands showing the outstanding highest degree like the Polo in the 20s, and the Burberry in the 50s in aspect of age structure. 2. In associable image of Traditional brand, it is associate with noble image as dignified, classical and intellectual with itself strongly among practical, individuality, confidential and noble image. 3. As the purchase factors of traditional brand products, it depends on mainly the reliability and esthetic factors like design and quality rather than ostentatious and practical factors. 4. Associable image except individuality image is correlated with the purchase factors of traditional brand.

• Journal of Korean Society of Rural Planning
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• v.23 no.3
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• pp.53-60
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• 2017

In order to export Korean spray roses to the China, it is needed to analyse chinese preferences, rose attributes, and purchase intentions. The purpose of this study is to present the implications on the production and distribution of roses for export by analyzing the quality preference attributes and purchase intention of Korean rose for Chinese flower experts. A survey on the preference and purchase intention of Korean flower roses by Chinese flower experts was conducted through face - to - face interviews with flower show participants in China. Approximately 100 Chinese flower experts who participated in the Flower Show in 2016 received the questionnaire, and 86 survey results could be used for analysis. Survey data were analyzed using ordered probit and bivariate probit models. As a result of an analysis, it was found that Chinese flower experts were more likely to buy Korean roses than Chinese roses even if they consider flower color, leaf shape and size and color diversity. The probability of purchasing more than twice the price was higher than that of the color diversity considering the flower shape, leaf shape and size, but the bivariate order probit model was larger than that of flowers, leaves and size, and the order of probability size was changed. In order to increase the export of Korean spray roses to the Chinese market, We need to increase Chinese experts' preferences and satisfaction. For this purpose, it is very important to develop export varieties of roses with large flower buds and shape / coloring, and to apply the useful post-harvest technology that can extend freshness and distribution period of export roses.

• Journal of Fashion Business
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• v.22 no.1
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• pp.41-55
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• 2018

The purpose of this study was to investigate the trends of product design for textile convergence wearable smart textile fashion products according to college students' fashion life style. In this study, we used information obtained from a questionnaire issued to 201 female college students who were 20 years old for the final analysis. The questionnaires were to classify female college students groups according to the fashion life style, to examine characteristics, needs and wants of each group. The survey on the tendency of wearable smart textiles consisted of 22 items about concept and type of smart clothing product, functional material and intelligent material, recognition, preference, purchase intention, purchase factor and brand preference tendency. A total of 201 samples were analyzed by factor analysis, cluster analysis, ANOVA, crosstabs and $x^2-test$ using SPSS package program. 'brand preference oriented type was found to be interested in 'wearable' smart clothing product with monitoring function of bio-signal' and 'high functional fiber and textile product', but the credibility of 'smart clothes that can be worn and smart textile products to be useful in modern life' was low. 'fashionable individuality oriented' type showed interest in 'smart clothing and smart product', 'intelligent fiber' and 'wearable smart clothing product with monitoring function of bio-signal', but the preferences of 'light emitting fiber products' was low. 'practically purchasing-oriented' type was very interested in 'high-functional fiber and its textile products', but had inadequate knowledge on 'smart clothing and smart textile product' and showed low interest. Despite the fact that 'wearable smart clothing and smart textile products' are expensive, they were willing to purchase considering practicality and sophisticated style.

• The Journal of the Korea Contents Association
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• v.19 no.3
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• pp.171-182
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• 2019

As online shopping malls continue to grow in popularity, various chances of consumption are provided to customers. Customers decide the purchase by exploiting information provided by shopping malls such as the reviews of actual purchasing users, the detailed information of items, and so on. It is required to provide objective and reliable information because customers have to decide on their own whether the massive information is credible. In this paper, we propose a personalized recommendation method considering an item confidence to recommend reliable items. The proposed method determines user preferences based on various behaviors for personalized recommendation. We also propose an user preference measurement that considers time weights to apply the latest propensity to consume. Finally, we predict the preference score of items that have not been used or purchased before, and we recommend items that have highest scores in terms of both the predicted preference score and the item confidence score.

• The Korean Journal of Franchise Management
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• v.7 no.2
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• pp.27-35
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• 2016

Purpose - The primary objective of this study is to investigate the impact of employee characteristics on employees' preference towards corporate pension products. This study can provide a guidance for maximization of benefits for employees and their affiliated corporation. Employee characteristics include average length of labour, wage system of annual salary, age, types of interest rates and size of corporation. Existing research generally concentrate on vitalizations of corporate pension product raising an imperfection, improvements, tax benefit analysis and legal consideration. Thus, this study intensively analyses the effect of employee attributes on firms' decision for corporate pension products, such as DB(defined benefit) and DC(defined contribution) type. Research design, data, and methodology - The data were collected using self-administrated questionnaire survey on corporate pension products from CEOs or HR directors 250 foreign-invested companies', purchasing pension plans in practice with domestic financial trustees (insurance companies, banks and security companies). Hypotheses testing was conducted using Logistic Regression analysis with SPSS/PC+ 21.0. Results - The findings of the study are as follows. Employees with the long length of labour are more likely to have DB plan; more likely to prefer DC plan with the dividend distribution product regarding the types of interest rate. SMEs(less than 100 employees) are more likely to select DC plan whereas high fluctuation in wage with annual salary has no impacts. In addition, the ages has no significant effect on the preference. Conclusions - This study has examined with the empirical testing that employees' variable attributes and qualities are one of the vital factors for corporation pension plan selection. Currently, majority employees are highly likely to join DB plan and Defined interest types. Corporation with less than 10 employees prefer IRP scheme while most of corporation are intended to join DC plan. In a very near future, corporation more than 300 employees will be required to purchase mandatory plan under national regulation. For maximization of employees' contentment to corporation pension insurance and for complementing the flaws of existing plans, the future studies shall also research in a perspective of employee benefit.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2006.11a
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• pp.196-201
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• 2006

Existing model houses have played an important role in allow the customers to choose apartment. As the information technology has been advanced (e.g. a high-speed internet available in unit), customers' personality and preference to the design of apartment and the purchasing pattern have been changed. Construction firms have introduced VR(Virtual Reality) model house (e.g. Quick Time Virtual Reality) to meet the customers' expectation and need. The reality-based QTVR model house does not provide enough quality to satisfy the customers' expectation. To complement the shortcoming of the QTVR model house, this study presents a web-based cyber model house developed by using Turntool and Javascript. The cyber model house allows to communicate between supplier and customer over the internet.

• Fashion & Textile Research Journal
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• v.3 no.5
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• pp.403-408
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• 2001

The purposes of this study were to determine consumers' characteristics that were shown according to their fashion leadership through examining the differences found with consumers' self-conception like the body cathexis and self-efficacy and clothing shopping orientation. The data were collected from 263 female college students using questionnaire. The results could be summarized as follows: First, the household income, subjective social class and clothing expenditure of the fashion leader group was larger than those of the fashion follower and laggard groups. Second, the fashion leader group showed higher body cathexis than the fashion follower and laggard groups in the lower body, the abdominal region, the bust shape, and the whole body shape. Thirdly, the higher was the fashion leadership, the higher was the self-efficacy. Forth, it was proved that the higher was the fashion leadership, the higher were the clothing shopping orientation such as home-shopping preference, hedonic shopping, impulsive purchasing, and brand loyalty.