• Proceedings of the Technology Innovation Conference
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• 2006.02a
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• pp.264-297
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• 2006

In this paper, we attempt to analyze consumer preference for the alternative-fuel vehicles based on data from a stated preference using the conjoint analysis. Five possible fuel types (gasoline, diesel, CNG, LPG, Hybrid (electricity+gasoline)) are covered in conjoint cards. To estimate and analyze consumer preference, discrete choice model is used. Specifically, Bayesian mixed logit model is used. Based on estimating results, we discuss the business strategy and policy for the alternative fuel vehicle.

• Asia-Pacific Journal of Business
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• v.1 no.2
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• pp.23-46
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• 2010

Despite the explosive growth of no-frill airline industry, very little is known about how consumers make purchase decision in such settings. Today's airline industry requires choice models consistent with consumers' true preference sets. This study used conjoint analysis to identify these ideal choice models. 38 percent of the subjects were found to use compensatory and 62 percent non-compensatory models. Our findings suggest a need to base choice-making promotions on ideal choice models if the promotion is to lead consumers to decisions consistent with true preferences.

• Journal of the Korean housing association
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• v.26 no.4
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• pp.11-21
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• 2015

Due to the mass production of housing in Korea, homogeneous current housing may fail to represent residents' preferences, especially for the elderly. The purpose of this study is to identify the preferred properties of consumers for accessible housing and to examine whether cluster analysis can identify groups of residents with similar accessible housing preferences. Using a conjoint method, prospective users can jointly consider all accessible attributes, with cost attributes suggested by this study. Four categories (accessibility, safety, convenience, cost), 7 attributes (clear width, level difference, installation of grab bars, installation of elevators: only for single house type, non slippery floor materials, safety alarms, service control devices, cost) and 2 levels for each attribute were chosen. A total of 374 questionnaires were collected through a questionnaire survey method. This study employed ratings-based Conjoint analysis and the respondents ranked each card, which consisted of a set of accessible housing attributes. The data were analyzed using SPSS 16.0. The findings of this study have identified 3-4 clusters for each housing sub market. Each cluster has a different combination of socio-demographic characteristics and residential characteristics, and showed the relative importance or preference values for each accessible attribute of the segmentation. For the single housing, one group of people strongly preferred installation of elevator. The results suggested that better customization of housing could be more appealing to the different clusters of residents, providing accessible housing with cost limitations.

• Culinary science and hospitality research
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• v.19 no.1
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• pp.164-178
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• 2013

The purpose of this study is to determine the relative importance of Sanchoneo mandu attributes and find out differences between the determinants and attributes when purchasing mandu. The survey was conducted targeting 114 panels(aged 20~39 years old), who were university students and graduated university, from the period of June 18 to 22, 2012. The statistical data analyses were performed using SPSS/WIN 20.0 for conjoint analysis. The main results of this study were as follows : according to the analysis on the attributes and mandu made with Sanchoneo, the relative importance of mandu attributes was assessed in filling materials(33.09%), price(30.28%), shape of mandu(21.69%) and spicy level(14.94%). The most preferred Sanchoneo mandu was the one added with kimchi with price of 7000 won, oval shape, and mild taste.

• Archives of design research
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• v.11 no.2
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• pp.143-152
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• 1998

The purpose of this study is to develop Korean-style tractors of international comp etitive advantage which satisfy consumers' needs based on the research of large size ones. The overall process of this study is to generate appropriate design process and to apply quantitative analysis method to each steps of it and finally to suggest objective product design development system. For this, we firstly selected important trac -tor design concepts from the analysis of current market and consumer perception, next did conjoint analysis with the extract -ed design attributes and attribute levels. Finally, we decided preferred designs of ea -ch segments based on conjoint analysis. Here we selected only one most preferred tractor design of all due to narrow domest -ic market situation. This study may contribute to the customer oriented design development with the appli cation to many other fields of design. Also, it may contribute to all design related not only academic fields but to practitional fields.

• Korean Journal of Community Nutrition
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• v.7 no.3
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• pp.354-360
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• 2002

The purposes of this study were (1) to understand how customers trade off one attribute against another when they choose a pizza restaurant, (2) to compare the importance of individual attributes with their relative importance and (3) to compare customers'brand choice patterns with the prediction of pizza restaurant operators. Empirical data for this study were collected from the customers (n=307) and operators (n=273) of flour famous pizza franchise restaurants in Korea, Pizza Hut, Mister Pizza, Domino's Pizza and Pizza Mall. The attributes and attribute levels for the hypothetical profiles were decided from the focus group discussion. A total of 16 profiles was selected from fractional factorial designs. The SPSS conjoint procedure was used to calculate utility scores and simulate profiles. The overall group statistics showed the relative importance of all attributes compared with one other. Taste was the most important attribute (32.48%) in choosing a pizza restaurant, followed by service (21.87%) , atmosphere (17.23%), price (15.17%) and speed of delivery (13.26%). There was a difference between the customers'ratings of the importance of the individual attributes and the ranking of the same attributes'relative importance as derived from the conjoint analysis. The operators rated service (26.54%) as also being important, as well as taste (27.76%), in choosing a pizza restaurant. The rankings of relative importance for pizza taste, service and price were statistically different in the customers'and operators'data (p < 0.001, p < 0.1, p < 0.5). Operators who want to differentiate themselves from their competitors should make decisions based on an increased understanding of their customers'brand choice decision process and measure the hidden needs of their customers.

• Journal of Navigation and Port Research
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• v.41 no.1
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• pp.17-24
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• 2017

This study uses Conjoint Analysis to study optimal port operations at the newly built International P assenger Terminal (IPT) at Inchon Port, Korea. The perceptions of users, operators, and the Incheon Port Authority are compared and analyzed. The results of user Conjoint Analysis showed that rent calculation method was the most important factor in the NIPT operation plan, followed by establishing automation and the size of the site area. For the Incheon Port Authority and operators, the rent calculation method turned out to be the most important factor for NIPT operation plans. It was followed by establishing automation and the site area. Utility results showed the "investment cost preservation method" to have the highest rent calculation utility, "yard automation" as the priority, and "43,000 pyeong-48,000 pyeong" as the optimal site area.

• The Journal of Society for e-Business Studies
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• v.12 no.4
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• pp.85-98
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• 2007

This study uses conjoint analysis technique to calculate relative importance of each attribute of a specific online content: video-on-demand (VoD) services of TV soap operas. A series of interviews were conducted to identify and derive critical attributes for VoD services. Conjoint instrument was constructed using attributes identified and administered among actual viewers. Price, genre, additional service, and actors were found to be the most highly valued attributes of the VoD services. While price was the most valued attribute for female viewers, it was genre for male viewers. The result suggests that these attribute differentiation would lead to more profitable pricing scheme, and development of additional services may be critical for online content business' success.

• Culinary science and hospitality research
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• v.16 no.3
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• pp.94-113
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• 2010

Despite a number of previous studies about cultural tourism festivals, studies on food menus in the cultural tourism festival setting have often been neglected. Considering the importance of food menus, identifying major selection attributes that satisfy visitors in a festival setting is vital. Using conjoint analysis, this study demonstrated that price was the most influential selection attributes to attract visitors. The time required between ordering and receiving food was found to be the second important selection attribute, followed by menu and place. Cluster analysis identified two distinct segments that take different sets of elements into account when making their selection decision. Conjoint simulation estimated the most preferred foodservice form in cultural tourism festivals setting would have 21.18% potential market share. The implications gained from this study provided an important starting point for determining key selection attributes in establishing strategies to enhance visitors' level of satisfaction.

• Journal of the East Asian Society of Dietary Life
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• v.22 no.2
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• pp.315-321
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• 2012

In this study, the product attributes that give customers the estimated benefits and products that can predict the customer's choice conjoint analysis techniques to identify the restaurant affinity markets a new dining concept was to develop. Questionnaire for this study of 400 non-response is negative and insincere characters, except for the final analysis, the questionnaire Part 309 was the target. Conjoint model used in this study Pearson's R is 0.928 ($p$<0.000), Kendall's tau is 0.750 ($p$<0.000) with an orthogonal plan was well suited for profiling attributes are extracted 16. Part of the relative importance of the value of the property to determine the result of analyzing the properties that are most important at the level of the respondents of the induct (38.46%), and followed by price (30.52%), Atmosphere (18.28%), and Exclusive space (12.73%) was followed. Portion of the property value for each analysis among industry preference for the Italian food was highest, a nature-friendly interior atmosphere had the highest affinity Average per price at 10,000 won~30,000 won or less than the amount of affinity was higher location of the restaurant alone, showed that space preferred. Through simulation in a virtual seafood restaurant nature-friendly image, average price per person ranging from 10,000 to 30,000won at an exclusive restaurant was most preferred.