• Industrial Engineering and Management Systems
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• v.2 no.1
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• pp.55-62
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• 2003

This paper deals with the difficulties involved in analyzing and designing a management system to reduce the risks and improve the productivity of new product development. In this paper, a method is described to analyze user information and determine product specifications based on a stimulus-response model, the conjoint measurement of users needs, and product characteristics deployment. The proposed method can analyze the effect of a partial price on the contribution ratio based on the order of preference of product profiles through a smaller number of product profiles. The strengths and weaknesses of this method are examined as the method is applied to the case study of a mobile computer intended for personal use.

• Journal of the Korean Home Economics Association
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• v.44 no.12
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• pp.105-115
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• 2006

The purpose of this study is to apply conjoint analysis to fashion product development. Conjoint measurement was undertaken on the traditional casual market, composed of Polo, Beanpole, Maru and Giordano brands. Product's attributes, such as brand name, price, country of origin and style, were selected as choice factors. Twelve profiles were used for full-profile stimulus cards method. Based on the importance and utility rates of the product attributes, preferences for the products currently in the market and simulated products were calculated. The results increased our understanding of the trends in traditional casual market and assisted in the preparation of marketing strategies for each brand.

• Journal of the Korean Society for Library and Information Science
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• v.15
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• pp.141-173
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• 1988

The focuses and methods in Library science have been changed abreast with the development af library facilities and with the expansion and diversification of its functions. One of current trends in Library science is focussed on the social functions of library: its relations to the public, effective service for the users. and efficieniencies of the management policies, and so. on. To. deal with these issues, we need to borrow methodology from other disciplines such as management, marketing, statistics, etc. This paper is mainly concerned with how we approach to the measurement af services and thus provide tentative standard for evaluating library services. To do. this work properly, we'd better consider the users' needs and expectations. But it is not an easy work since too many factors are involved in the study of the users' needs. Users' needs and expectations are so. varying that it is difficult to find out some general and objective data. That is the reason why although many scholars have urged time after time the necessity of library's effectiveness measurement, few studies demonstrated substantial method for measuring the effectiveness of service. In this paper I propose a device for measuring service: i. e, Conjoint Analysis. Conjoint Analysis, which has originally been developed and applied in marketing research, is used to measure the priorities and preferences of purchasers on the new item. So far as Conjoint Analysis, concerning users' physical and psychological necessities, can numeralize people's needs, it may also be applied to measure service provided by nonprofit organization like library. If this approach prove to be sucessful, I hope this study to make any contribution to the appropriate direction on improving library facilities based on the result from a concret reference evaluation.

• The Korean Journal of Applied Statistics
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• v.27 no.2
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• pp.185-195
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• 2014

Ranking-based conjoint analysis is widely used in various fields such as marketing research. While the ranking-based conjoint affords several advantages over the rating-based or choice-based conjoint, it has a serious shortcoming that respondents have much difficulty in ranking the product profiles in order of preference when many profiles are involved. This article suggests a new method for the preference measurement to improve the response efficiency. The method employs the concept of ranking sets that let the respondent evaluate a small number of profiles at a time. Through the proposed method, preference rankings of profiles obtained from each ranking set are aggregated to generate overall rankings. The balanced incomplete block design is expanded and transformed to the dual design in order to construct well-balanced ranking sets that can accommodate a large number of profiles. The proposed method is applied to the analysis of consumer preferences for perfume-for-women.

• Journal of Fashion Business
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• v.19 no.6
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• pp.127-138
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• 2015

Due to the virtual nature of online businesses, online apparel stores need to enhance the consumer experience by utilizing store design attributes to provide their customers relevant and sufficient information. Since online apparel stores mainly communicate with their customers virtually and digitally, it is important to understand how consumers perceive and react to different design attributes commonly found on apparel stores' online websites. The purpose of this paper is to examine the importance of design attributes commonly found on online apparel stores' websites using three different importance measurements. The design attributes examined in this study include enlarged pictures, product detail pictures, product reviews by other buyers, coordinating items, and size measurement charts. The three different measurements used in this study include two direct measures and one indirect measure using conjoint analysis. Across the three different measures, both the men and women indicated that enlarged pictures represent the most important design attribute when they purchase clothes online followed by size measurement charts and they considered the availability of coordinating items the least important design attribute.

• The Korean Journal of Applied Statistics
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• v.27 no.5
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• pp.681-691
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• 2014

Ranking-based conjoint analysis(RBCA) and choice-based conjoint analysis(CBCA) have attracted significant interest in various fields such as marketing research. When conducting research, the researcher has to select one suitable approach in consideration of strengths and weaknesses. This article performs an empirical comparison of the predictability of RBCA and CBCA in order to provide criterion for the selection. A new concept of measurement set is developed by combining the ranking set and choice set. The measurement set enables us to apply two approaches separately on the same consumer group that allows a fair comparison of predictability. RBCA and CBCA are conducted on consumer preferences for RTD-coffee; subsequently, the predicted values of market shares and hit rates are compared. The study result reveals that their predictabilities are not significantly different. Further, the result indicates that RBCA is recommended if the researcher wants to improve data quality by filtering out poor responses or to implement the market segmentation. In contrast, CBCA is recommended if the researcher wants to lessen the burden on the respondents or to measure preferences under similar conditions with the actual marketplace.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1997.10a
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• pp.15-15
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• 1997

• Journal of the East Asian Society of Dietary Life
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• v.16 no.3
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• pp.242-250
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• 2006

The purpose of this study was to identify tourist product factor combinations which confer the highest utility to tourists and to establish the relative importance of factors in terms of their contribution to total utility across gender. Among 250 questionnaires, 230 questionnaires were utilized for the analysis. $X^2$ analysis, Conjoint model, Max. Utility model, BTL model, Logit model, K-means cluster analysis, and one-way anova analysis were used for this study. The findings from this study were as follows. First, the Pearson's R and Kendall's tau statistics showed that the model fitted the data well across gender. Second, it was found that total respondents and three clusters regarded taste price as the very important factor across gender. Third, it was found that the male and female tourists most preferred product with light red color, shaped package, and highly pungent taste sold at a cheap price in factory. Fourth, it was found that the male tourists most preferred simulation product with light red color, shaped package, and highly pungent taste sold at a cheap price in factory. The female tourists most preferred simulation product with light red color, shaped package, and mild taste sold at a cheap price in factory. Finally, the results of the study provide some insights into the types of effective product designs that can be successfully developed by marketers.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.5
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• pp.606-617
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• 2002

The purpose of this study is to develop a decision model that helps manufacturers and retailers determine the optimal timing of markdown in order to maximize their profit. An optimal timing decision model was developed based on three steps; conjoint measurement, scenario analysis and simulation. Data were collected from the sample of 149 out of 170 undergraduate and graduate students in Seoul in 1997. From the Jeans market, 8 brands; Levi's, lee, Guess, Calvin Klein, Pintos, Get used, MFG, and Basic, were selected as competitors for this study. In the conjoint measurement, respondents estimated the level of preference, from 1 to 100, for each item in which brand, price, style, and colors were used to explain product characteristics. Then, in order to reflect competitive situation in Jeans market, four types of scenarios were developed. In each scenario, simulations were applied to decide optimal timing of markdowns that leads to maximal profitability and sales volume. The profit was calculated based on the equation; Profit = Jean's market volume x market share of each brand - cost, where market volume was obtained by integral calculus for market utility function, and market share by logit value of part-worth from the conjoint analysis. For the purpose of the parsimony of the research, costs and the level of markdown were fixed to 30% of the regular price. In results, the optimal timing decision model identified 3 different types of brands. The brands that do not need to take markdown were Ievi's, MFG, and Basic Jeans characterized by the highest brand power and the highest price zone. The brands that needed to take early markdowns were Guess, Lee, Calvin Klein, and Get Used with the intermediate level of brand power and price. The brand that need late markdown was Pintos with the weakest brand power among the competitors and the lowest price. The optimal range of markdown remains for further research.

• The Journal of Information Technology
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• v.9 no.3
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• pp.33-47
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• 2006

We will can do quality of measurement of service that thing is quite abstract concept. Generally, we speak Service of quality that property of a product, usability of use, social quality requirement to a quality of service by wide meaning. A purpose of this study was comparison regarding a way to measure of service quality, and in the insufficient section there was anything, and progress of model study of service left no matter how much focus to it. There is comparative study a few progress of literature of a PZB, SERVQUAL, SERVPERF, model. Desarbo, Huff, Rolandelli, & Choi, (1994: 125-131) proposed that to solve the above model contradiction point, and Presentation called a plan based on to Conjoint analysis. There is Critical point to decide on priority order of proposed model of service measurement. This study has a lot of the pieces which are short by absence of empirical study, but will make a supplementation in next term study.