• Asian Pacific Journal of Cancer Prevention
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• v.14 no.10
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• pp.6041-6048
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• 2013

Background: Japanese women in their 40s or older have been encouraged to attend breast cancer screening. However, the breast cancer screening rate in Japan is not as high as in Europe and the United States. The aim of this study was to identify psychological and personal characteristics of women concerning their participation in breast cancer screening using the Health Belief Model (HBM). In addition, the attributes of screening more easily accepted by participants were analyzed by conjoint analysis. Materials and Methods: In this cross sectional study of 3,200 age 20-69 women, data were collected by an anonymous questionnaire. Questions were based on HBM and personal characteristics, and included attitudes on hypothetical screening attributes. Data of women aged 40-69 were analyzed by logistic regression and conjoint analysis to clarify the factors affecting their participation in breast cancer screening. Results: Among responses collected from 1,280 women of age 20-69, the replies of 993 women of age 40-69 were used in the analysis. Regarding the psychological characteristics based on HBM, the odds ratios were significantly higher in "importance of cancer screening" (95%CI: 1.21-2.47) and "benefits of cancer screening" (95%CI: 1.09-2.49), whereas the odds ratio was significantly lower in "barriers to participation before cancer screening" (95%CI: 0.27-0.51). Conjoint analysis revealed that the respondents, overall, preferred screening to be low cost and by female staff members. Furthermore, it was also clarified that attributes of screening dominant in decision-making were influenced by the employment status and the type of medical insurance of the women. Conclusions: In order to increase participation in breast cancer screening, it is necessary to disseminate accurate knowledge on cancer screening and to reduce barriers to participation. In addition, the attributes of screening more easily accepted were inexpensive, provided by female staff, executed in a hospital and finished in a short time.

• The Journal of Society for e-Business Studies
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• v.14 no.1
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• pp.93-120
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• 2009

Content services on the Internet is getting attention as a new business model, selling digital content in real-time on the web. However, most of these content-based business is based on advertisement model rather than direct-payment-based business model. One of the difficulty in setting up charge-based content service is that the pricing paradigm of digital content is different from traditional pricing of products or services. The objective of this study is to empirically derive the feasible price response functions for these content services. Based on conjoint analysis of popular attributes of digital content, several price response function models were fitted against the conjoint data, using online movie viewers' preferences for different attributes of the service. Fitted function models were linear, multiplicative, exponential, attraction, and Gutenberg models. attraction model was found to be well-fit with the data for several specific combinations of attributes. Implications for pricing strategy is discussed at the end.

• The Journal of Information Systems
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• v.21 no.1
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• pp.93-116
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• 2012

Internet users' desire to share shopping experiences has resulted in the appearance of the paradigm shift called social commerce, which combines social media with commerce. However, while foreign market realizes social commerce in a various way, current domestic social commerce market still seems to be highly filled with social shopping sites offering 50 percent discount, thus causing concerns about market distortion from a cutthroat competition. In order to overcome the limitations of social commerce remaining in the early stage, and to enhance the communication among consumers, this study conducted an empirical study on the social-commerce business models design based on context. The results of the study brought the imaginary, optimal combination model by conjoint analysis, using the segmented group through cluster analysis. To overcome the uniformity of social commerce and to enhance communication among consumers, the context-based optimal combination model should be proposed as the alternative social commerce business model in the domestic market which remains as a simple group-purchase function. Furthermore, this study will be used as an informative reference designing customer oriented service model for social commerce business.

• Journal of the Korean Society of Food Culture
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• v.21 no.4
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• pp.414-419
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• 2006

The purpose of this study was to measure the factor influencing tourist preferences for leaf mustard iimchi. Among 250 questionnaires, 230 questionnaires were utilized for the analysis. Frequencies, 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. Second, it was found that total respondents and three clusters regarded taste and price as the very important factor. Third, it was found that the first cluster most preferred product with light red color, plain package, and mild taste sold at a cheap price in factory. The second cluster most preferred product with light red color, plain package, and moderately pungent taste sold at a expensive price in factory. The third cluster most preferred product with dark red color, shaped package, and highly pungent taste sold at a cheap price in factory. Fourth, it was found that the first cluster most preferred simulation product with light red color, shaped package, and mild taste sold at a cheap price in factory. The second cluster most preferred simulation product with light red color, shaped package, and moderately pungent taste sold at a cheap price in factory. The third clutter most preferred simulation product with dark red color, shaped package, and highly pungent taste sold at a cheap price in factory.

• Journal of Information Technology Services
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• v.10 no.3
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• pp.265-284
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• 2011

The purpose of this study is to analyze the demand for telemedicine and telehealthmanagement services, which are key elements of home based u-health. The conjoint analysis, which is a conventional method for demand analysis for newly introduced products, is employed, utilizing the survey data on 500 seoul citizens. Further, multivariate probit model is used to estimate the demand. The result shows that the demand for telemedicine services is greater than that of telehealthmanagement services. Further, home-based u-health services will play a role as a complementary for face-to-face medical treatments, rather than a substitute. Meanwhile, the demand for home-based u-health services is found to be very sensitive to price.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2008.10a
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• pp.440-443
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• 2008

In this research, we develop the model of selecting and setting technology modular alternatives. We compose the selecting process(CHP) after setting technology modular alternatives based on technical couple by Conjoint Analysis(CA). Through this process, we can have several advantages. (1) Increasing the accuracy of R&D project evaluation (2) Declining the load of pair-wise comparison

• Proceedings of the Korean Society for Quality Management Conference
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• 2010.04a
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• pp.386-389
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• 2010

In this research, we develop the model of selecting and setting technology modular alternatives. We compose the selecting process(CHP) after setting technology modular alternatives based on technical couple by Conjoint Analysis(CA). Through this process, we can have several advantages. (1) Increasing the accuracy of R&D project evaluation (2) Declining the load of pair-wise comparison.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.9
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• pp.1467-1477
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• 2008

This research examined how customers evaluate fashion brand collaborations in speculating the collaboration factors, product, model, and designer. Respondents evaluated 8 different collaborate case cards from 1 to 8, presenting a certain fashion brand, who had recently teamed up with various kinds of product companies for collaboration. Product was found as the most important factor in evaluating the collaboration case cards, analyzed through Conjoint Analysis. Respondents segmented additionally by clothing involvement valued different collaboration factors; products for the high clothing involvement group and messenger and designer for the low clothing involvement group. All the segments and respondents chose the best the card presenting blue jeans, Mr. Chang, and B.S. Choi, as similarity for products, fame for mdoel, and similarity for designer, respectively.

• Journal of the East Asian Society of Dietary Life
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• v.23 no.5
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• pp.662-669
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• 2013

The purpose of this study is to examine consumers increased interest pertaining to the structural elements of the triangular gimbap. Through an investigation of their importance by attribute and the attribute's partial value, the preference of the triangular gimbap was obitained. The survey was conducted with a panel of two hundred and one university students, from January 7, 2013 to January 14, 2013. In order to achieve an optimal production of the triangular gimbap, the survey consists of 8 profiles with an orthogonal design for cross-validity authorization and reliability of the model. The statistical data analyses use SPSS/WIN 20.0 for the conjoint analysis. The results of this study indicate that the triangular gimbap, with 30% brown rice, mixed stuffing, weight of 100 grams, and a price of 800 won was selected. It is an estimation that new customers will be attracted to the triangular gimbap that consists of a variety of rice and stuffing.

• The Korean Journal of Applied Statistics
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• v.28 no.5
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• pp.951-963
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• 2015

The conjoint analyst in marketing are anxious to know whether there exist synergy or antagonistic effects between two attributes. That is to say, they are interested in estimating the main effects as well as the two factor interaction effects.We research the design of survey questionnaire so that all the main effects and two factor interaction effects are estimable by employing the resolution V balanced Incomplete Block Fractional Factorial Design. We screen vital few effects, find the proper model and obtain information for efficient concepts optimization by analyzing all respondents survey data.