• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.10a
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• pp.99-115
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• 2004

From the growth of Internet technology, many e-commerce principles have been introduced in airline industry. The computer reservation systems(CRS) is the first real-time business application and considered as the earliest examples of e-commerce. In airlines, the early e-business activity was to build the web site for providing flight information to customers. Recently, many airlines are expanding the capability of the web site for selling tickets on the web to make use of the cheaper distribution channel. In this paper, we focus on the impacts of airline e-business being implemented in airline distribution channels. Using the conjoint analysis, we suggest a model for estimating the change of market sales for each distribution channel. With the empirical survey, we can find some implications on the e-business strategy and the effective internet marketing tools for airlines.

• Industrial Engineering and Management Systems
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• v.1 no.1
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• pp.73-78
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• 2002

In this paper, we propose a constrained optimization model for conjoint analysis (a preference decomposition technique) to improve parameter estimation by restricting the relative importance of the attributes to an extent as decided by the respondents. Quite simply, respondents are asked to provide some pairwise attribute comparisons that are then incorporated as additional constraints in a linear programming model that estimates the partial preference values. This data collection method is typical in the analytic hierarchy process. Results of a simulation study show the new model can improve the predictive accuracy in partial value estimation by ordinal east squares (OLS) regression.

• 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 Environmental Impact Assessment
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• v.23 no.6
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• pp.417-431
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• 2014

There is a Conjoint Analysis to estimate the environmental value of natural river restoration project of Inchon Metropolitan City's small River: Gong-chon Stream, Gul-po Stream, Seung-gi Stream, Jang-su Stream. In order to find out the optimal expense condition, we tried to estimate the possible payable amount. According to the analysis, almost all people are willing to pay 15,000 Won. In case of the river types, the people liked 10 cm's depth of water and there should be brook trail, convenient facilities and flood plain at the stream edge space. But it is impossible to build these facilities with minimum fare 15,000 Won per a household. If the necessary expenses set high, the tax resistance of the local residents will be increased. So, in consideration of the analytical results of the attribute level, we draw five alternatives. This study is based on the results of Incheon metropolitan City residents' survey, and there is Conjoint Analysis to estimate the environmental value of natural-type river project of Incheon metropolitan City. If it is reflected the special assume factors of this study, and if there is exact environmental value estimation of the various river quality through different analysis, then it will become a study of high utilizing.

• Culinary science and hospitality research
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• v.16 no.1
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• pp.254-268
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• 2010

The purpose of this study is to determine the relative importance of restaurant attributes, preference in choosing a restaurant and to find out differences between segments. The web survey was conducted among 400 customers(aged from 20~39 years old) who lived in Seoul and Kyunggi, Incheon Province, from the period of August 23 to September 4, 2009. The statistical data analyses were performed using SPSS/WIN 12.0 for the conjoint analysis. The main results of this study were as follows : according to the analysis on the attributes and the levels of restaurants, the relative importance of restaurant attributes was assessed in taste (43.46%), price(27.62%), restaurant type(18.49%) and atmosphere(10.44%). Differences were found among three segments by the cluster analysis. Relative importance of restaurant attributes was assessed in price (45.96%), restaurant type(40.00%), taste(11.93%) and atmosphere(2.11%) in segment 1, taste(50.93%), price (33.37%), restaurant type(10.75%) and atmosphere(4.95%) in segment 2 and taste(56.24%), restaurant type (22.60%), price(14.06%) and atmosphere(7.10%) in segment 3. The results of the conjoint analysis indicated that customers preferred a restaurant with 'tasty food & various menu items', 'food priced 10,000~20,000 won', 'calm atmosphere' and 'the type of family restaurant'. The customers in segment 1 preferred a restaurant with 'not tasty food & simple menu', 'food priced more than 20,000 won', 'calm atmosphere' and 'the type of fine-dining restaurant'. The customers in segments 2 preferred a restaurant with 'tasty food & various menu items', 'food priced less than 10,000 won', 'exciting atmosphere' and 'the type of fine-dining restaurant' and the customers in segments 3 preferred a restaurant with 'tasty food & various menu items', 'food priced 10,000~20,000 won', 'calm atmosphere' and 'the type of family restaurant'.

• Journal of Information Technology Services
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• v.20 no.5
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• pp.159-176
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• 2021

In this study, we performed a comparative analysis of the sentiment value for the tourists in USA, China, and Korea on the COVID19 pandemic era to explore and find out the features of the tourists by using online reviews. We collected a total of 243,826 online hotel reviews for metropolitan city and vacation spot in the three countries to compare the features between the business and the vacation trips. We collected the online reviews into the tow groups from Jan. 1, 2019 to Nov. 31, 2019 for before COVID19 pandemic and from Apr. 1, 2020 to Deb 28, 2021 for during COVID19. Online reviews were categorized into 6 dimensions using LDA model. Sentiment analysis were presented for 6 dimensions by utilizing a lexicon base. We proposed an approach to analyzing the importance of each attribute by applying 6-dimensional sentiment values to conjoint analysis. Our empirical analysis showed that the proposed approach could explore and find out the changed features of travelers during the COVID19 pandemic.

• Journal of the Korean Data and Information Science Society
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• v.22 no.2
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• pp.207-215
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• 2011

This Risk analysis on information related assets is conducted primarily according to the standards the Korea Information and Telecommunications Technology Association (TTA) or the International Organization for Standardization (ISO). The process is made of asset analysis, threat analysis, vulnerability analysis, and response plan analysis. The risk for information related assets belongs to the operational risks suggested by BIS (Bank for International Settlements) and the information related losses can be estimated in terms of BIS' suggestion. In this paper it is proposed that how to apply the method proposed by BIS to estimate the loss of information assets.

• Korean journal of food and cookery science
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• v.32 no.5
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• pp.609-618
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• 2016

Purpose: The purpose of this study was to analyze the attributes considered important by Singaporeans in the selection of Korean ginseng chicken soup as an HMR product using conjoint analysis techniques. Methods: A total of 400 questionnaires were distributed to local consumers in April 2012, of which 324 were completed (81.0%). Statistical analyses of data were performed using SPSS/Windows 18.0 for descriptive statistics and conjoint analysis. Results: Analysis of the attributes and levels of Korean ginseng chicken soup as an HMR product for people who lived in Singapore showed the relative importance of each attribute as follows: packing (32.4%), chicken (32.1%), glutinous rice (13.8%), soup (11.6%), and ginseng (10.0%). Results showed that Singaporean consumers preferred code J's Korean ginseng chicken soups as an HMR product, which consisted of half a chicken, glutinous rice, a whole ginseng root in a soy sauce-based soup, and a partially transparent package. The most preferred Korean ginseng chicken soup gained 50.4% potential market share from choice simulation when compared with the second preferred one. Conclusion: This study has significance in that such a practical research contributes to product development of a specific Korean dish for foreign consumers. In addition, the results of this study provide useful information for the food industry for global expansion and commercialization of Korean food, thereby providing an important foundation for future development of various Korean foods as HMR products.

• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.137-146
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• 2020

VR(Virtual Reality), which has drawn attention as a major area in ICT, is currently being used in various fields, including medical care, movies and architecture. Although VR technology is used in various fields, contents are mainly developed by creators where needs of users are easily left out of consideration leading to failure in forming a consensus between UI(User Interface) and UX(user experience). To identify the consumer preference and attribute level of VR game content, which is responsible for the largest proportion of VR contents, this study was designed to examine the consumers' preference properties of VR game contents through a Conjoint Analysis and derive the relative importance and weightings of each group. The study collected 166 questionnaires over a total of three months from May to July 2019, 150 of which were completed (90.4%). Statistic analysis was conducted using SPSS Ver. 25.0. The results of the study showed that the genre of the game (42.6%), number of players (24.0%), price for payment (20.3%) and game planning (13.1%) were important attributes in choosing VR games. The optimal mix of attributes was derived with new games, RPGs, multi-play and medium price (22,000 KRW). Before mentioning technology in the expectations of users who use VR game content, which is the most preferred among VR contents, this study recognized the need to have a fun and new experience through VR game content. Therefore, it is expected that this will serve as a reference for consumer behavior of VR game contents and research on VR game contents development.

• Journal of the Korean Society of Food Science and Nutrition
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• v.45 no.6
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• pp.894-902
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• 2016

The purpose of this study was to analyze the attributes considered as important by parents in the selection of laver for infants through conjoint analysis techniques. A total of 917 questionnaires were distributed in January 2016, of which 211 were completed (23.0%). Statistical data analyses were performed using SPSS/Win 21.0 for descriptive statistics and conjoint analysis. The conjoint design was applied to evaluate the hypothetical laver for infants. According to the analysis of attributes and levels of laver for infants, the relative importance of each attribute was follows: seasoning (26.55%), flavor (19.33%), texture (18.75%), oil (15.15%), size (10.61%), and certification (9.61%). The results of the conjoint analysis indicate that parents raising infants preferred laver with the characteristics of non-seasoning, general flavor, softness, half-size, organic certification, and perilla oil. The most preferred laver for infants gained a 53.7% potential market share from choice simulation compared with laver being sold. Using utility and relative importance, the laver market for infants was classified into two segments. As a result of market segmentation, parents of cluster 1 preferred the laver model being sold (soy seasoning) while parents of cluster 2 preferred the optimized laver model (non-seasoning).