• Journal of the Korean Society of Food Culture
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• v.24 no.1
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• pp.51-57
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• 2009

The purpose of the study was to assess the relative preference for hot & spicy sauces using conjoint analysis, with focus on English consumers. From the results of the study, we were able to derive a standard with the best sauce attributes. The respondent group was selected from the CCFRA's customer database. The qualification criteria for inclusion in the sample were: the primary grocery shopper in the household, a consumer of a range of home cooked oriental & far eastern cuisines, enjoyed hot & spicy chili-based foods, and willing to buy hot chili-based oriental sauces. A total of 676 respondents completed the survey in which 76% were women, and all respondents were between the ages of 18 and 65 years. An online survey method was used and a conjoint analysis was adopted. In conjoint analysis, a product is described as a combination of a set of attribute levels, where a utility value is estimated for each attribute level. In summing up the results of this study, the sensory property (flavor) attribute was most important, the second was brand, and the third was price. For the sensory property attribute, a mild chili sauce of blended garlic, sugar, and lime scored highest. In terms of brand, Blue Dragon was selected as the best. The lesser known Korean Kochujang brand of "Hot&Joy" scored lowest with respect to brand value. Encouraging, however, was the description based on the Hot&Joy product: a hot chili sauce blended with ginger and garlic, which held appeal across age groups and genders. In terms of price, 75p per bottle had the best score.

• Culinary science and hospitality research
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• v.12 no.2 s.29
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• pp.137-150
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• 2006

The aim of this study was to determine the relative importance of a set of attributes which influence purchase decision of leaf mustard kimchi such as color, package, taste, availability and price, and to identify tourist product factor combinations which confer the highest utility to tourists of each age group. Conjoint model was used for this study. The findings from this study were as follows. First, it was found that all age groups regarded taste and price as the very important factor. Second, it was found that the products with different attribute levels were preferred by age groups. Third, it was found that the most preferred product in each age group was significantly different by cluster. Finally, it was found that the most preferred simulation product was different by age groups.

• Journal of Korean Society for Quality Management
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• v.33 no.4
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• pp.103-110
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• 2005

Advanced function has been considered to be the most important aspect of the cellular phone. However, leading companies are now implementing the fashion branding strategy which stresses both high technology and appealing design. By means of the conjoint analysis, this research focuses on identifying the preferred design profile related to style of the key cover, color and texture of the case, and presence or absence of the noctilucent material coated on the part of surface. We also evaluate the relative importance of factors to determine the design concept of new cellular phone. Results indicate that consumers most prefer the silver-colored, sliding key cover phone with soft and noctilucent surface.

• Journal of Technology Innovation
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• v.13 no.1
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• pp.1-24
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• 2005

This paper applies a prelaunch forecasting model to the Home-Networking (HN) market of South Korea. The HN market of Korea is categorized into two distinctive markets. One HN market consists of new apartments in which builders install HN and the other HN market consists of existing houses in which residents purchase HN Among these markets, this paper focuses on existing houses as capturing consumers' choice. To forecast sales of HN for existing houses, we use a conjoint model based on our survey data of consumer preferences. By incorporating various indicators of HN technologies into our conjoint model, we also forecast diffusion of HN system embodied in PLC or Wireless Lan. We call this model Choice-Based Diffusion Model. In addition, based on the simulation experiments, we also identify important factors that affect the demands of HN system.

• Journal of the Korean Operations Research and Management Science Society
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• v.31 no.3
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• pp.107-125
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• 2006

We introduce a two-stage game theoretic model to support decision making processes for product Positioning and pricing in competitive environment. In the first stage, firms decide on entry and product position, in the second stage, firms compete with price. 'Alpha rule' is used as a choice model. Demand parameters of the choice model are estimated by conjoint analysis. We investigate conditions for the existence of Nash price equilibria in the pricing game. Nash equilibria in the entry and positioning game are produced using a concept of stable sets. An example of the online game industry in Korea is examined.

• Journal of Korean Society of Transportation
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• v.22 no.2 s.73
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• pp.7-18
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• 2004

This study aims to present the establishment and necessity of the proper market segmentation by customer preference. In this study, benefit segmentation method was employed using conjoint analysis to measure price elasticity by segmented groups. It presents that the price elasticity is different by characteristic of customers using parcel service in this result. Benefit segmentation, therefore, may use some useful marketing tool when a parcel service company segments the market to provide better service.

• Journal of Technology Innovation
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• v.15 no.1
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• pp.65-86
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• 2007

The purpose of the current study is to suggest a reliable starting point for roadmapping to overcome two common shortcomings of previous literatures that they do not demonstrate a robust methodology for roadmap and they describe the roadmapping process in the abstract. The proposed methodology for roadmapping considers four important business- and market-related factors: consumer requirements, engineering characteristics, the gap between the roadmapped technology and competing technologies, and future changes in consumer preferences. We capture consumer preferences using conjoint analysis and interconnect the above four factors using QFD (Quality Function Deployment). The model is applied to power line communications (PLC). The results show that there is a significant difference between priorities assigned to the engineering characteristics by expert alone and priorities determined by the roadmapping model.

• Environmental Engineering Research
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• v.13 no.1
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• pp.41-48
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• 2008

The valuation of biodiversity is a fundamental step in conservation. The useful framework for analysing the economic value of biological resources is that of total economic value (TEV) and TEV comprises both use and non-use values, the former related to an actual use made of the resource, the latter to a willingness to pay for the resource independently of any use made of it. There are several valuation approacher in environmental economics literature. However, stated preference approach should be introduced for valuation of biodiversity because it can estimate non-use value as well as use value. Contingent Valuation and Conjoint Analysis are representative methods in stated preference and Conjoint Analysis can be more useful for valuation of biodiversity. Futhermore, the combination of ecology and economics to assess biodiversity leads to an integrated framework. Thus, interdisciplinary work is required, involving both economists and ecologists transferring elements or even theories and models from one discipline to another and transforming them for their specific, mutually consistent purpose.

• Korean Management Science Review
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• v.29 no.3
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• pp.13-21
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• 2012

As culture technology is recognized as the important element of national industry, the necessity of the related policy development for enhancement of culture technology is magnified. In this study, we use conjoint analysis to investigate how the researchers from industry and academia think differently on the importance of several attributes in government-supported culture technology research project such as research period, size of research fund, inter-affiliated research requirement and interdisciplinary research requirement, and preference on those attribute levels. Also, we describes how a simulation experiment is designed to simulate participation shares of four alternative hypothetical research project profiles. This study will help establish the more effective policy of the national research program by understanding the preferential differences between industry and academia on the research project attributes.

• Journal of Information Technology Applications and Management
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• v.23 no.3
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• pp.49-59
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• 2016

Rapid technological advancements and widespread adoption of smart phones in recent years provide students with new opportunities for getting knowledge and making researches in innovation century. As the penetration of smart phone devices in education increases, there is a large growth in the use of these devices especially among the youth. In spite of increasing importance of smart devices in education, the significant features of these technology devices for general learning have not been experientially addressed. In this study we are going to investigate the comparison of smart phone devices and find the necessary conditions for using mobile devices as an educational tool by a conjoint method. There will be five attributes: screen size, batter type, mobile OS, memory capacity and price. By surveying we got the results which showed us the respondents' desire of using specific smart phone; thus, we defined that screen size attribute is the most important device characteristic.