• International Journal of Highway Engineering
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• v.19 no.4
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• pp.45-52
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• 2017

PURPOSES : This study was initiated to estimate the utilities of usage attributes of BRT and Bimodal Trams using a conjoint analysis method in order to identify the important features pertaining to the use of BRT and Bimodal Trams. METHODS : For this purpose, important attributes and those level in the use of BRT and Bimodal Trams in the city of Sejong were identified. Next, a profile questionnaire pertaining to BRT and Bimodal Trams was designed for the conjoint analysis, and a survey was conducted in the city of Sejong. Using SPSS software, conjoint analysis was performed to identify the important attributes vis-$\acute{a}$-vis the use of BRT and Bimodal Trams in the city of Sejong. Finally, the utilities for individual attributes were calculated based on the models estimated by the conjoint analysis. RESULTS : The results of the conjoint analysis were used to identify the important attributes. With regard to the usage of BRT, users indicated that fare was the most important attribute with the highest utility. In the case of Bimodal Trams, the users indicated that the number of seats and internal environment were the most important attributes with the highest utilities. CONCLUSIONS : Based on the results of the conjoint analysis, the important attributes pertaining to the use of BRT and Bimodal Trams in the city of Sejong were identified. Our study indicates that BRT in the city of Sejong needs to be upgraded to improve the utilities of the important attributes. Currently, Bimodal Trams has not been introduced completely in the city of Sejong. However, in the future, when the introduction of Bimodal Trams is completed, the important attributes should be emphasized in order to improve the quality of its service.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.7
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• pp.775-786
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• 2011

This study examines whether there are differences in the evaluation of clothing products according to self-efficacy in purchasing clothes. A total of 300 surveys were distributed and 231 were used for analysis. The data were analyzed by regression and factor analysis. The results are as follows. First, there were significant differences in the product attributes considered according to self-efficacy in purchasing clothes. The consumers with high self-efficacy considered diverse product attributes comprehensively when making purchase decisions and had significantly higher score in perceived value and post-purchase satisfaction level than the consumers with low self-efficacy. Second, there were differences in the attributes of clothing products that effects perceived value according to self-efficacy in purchasing clothes. The attributes of 'clothes that I like' and 'necessary clothes' had a significant effect on perceived value for both consumers. The attributes of 'design that suits me' and 'inexpensive price' had significant effect on perceived value on consumers with high self-efficacy while the attributes of 'harmony with other clothes' had a significant effect on perceived value for consumers with low self-efficacy. Third, there were differences in product attributes and the perceived value that influenced post-purchase satisfaction level according to self-efficacy in purchasing clothes. The attributes of 'design that suits me' and perceived value had a direct effect on the post-purchase satisfaction level four consumers with a high self-efficacy. For the consumers with low self- efficacy, the attributes of 'clothes I like', 'necessary clothes', and 'design similar to that of usually purchased products' had a direct effect on post-purchase satisfaction level; however, the effect of perceived value was not found.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.1
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• pp.24-38
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• 2018

Since a social networking service (SNS) isconsidered as an effective means to communicate and interact with customers, companies are trying to utilize SNS effectively. There is a lack of theory relating to the attributes of SNS. This study aims to investigate the attributes of SNS to classify SNS. Based on the social network theory, and previous studies on internet, blog, homepage, communication attributes, this study proposes the seven attributes to classify SNS: interaction, communication, entertainment, information, sharing, intimacy and connection. A pre-test, a pilot test and a main test are conducted. In the main test, 239 SNS users are participated. Through a factor analysis this study verifies the seven attributes of SNS. An analysis of variance with multiple comparisons of $Scheff{\acute{e}}$ method identifies that three attributes, interaction, communication and connection, are found to play significant roles to differentiate SNS. Looking at the overall mean values of the SNS by attribute, interaction, sharing, entertainment, intimacy and communication were relatively high in Facebook. Facebook showed higher values in attributes of interaction, sharing, entertainment, intimacy and communication. Twitter shows the relatively high scores for information and connection. Regarding interaction, Facebook shows higher scores than Twitter and Cyworld. For connection, Cyworld showed a significantly lower score than Twitter and Facebook. Cyworld was separated from the others in the light of communication. Cyworld is relatively weak in communication as it is limited to the message exchanges. The results will help in identifying major attributes for each SNS and classifying SNS.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.8
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• pp.1128-1140
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• 2002

As consumers' alternatives in fashion store selection increase, they select different store types to purchase different product types. Therefore, the probability of patronage mix behavior according to product type increases. Understanding consumers patronage mix behavior, finding out the determinant attributes of fashion stores for each product type are important to retailers and marketers for building a successful merchandising and marketing strategies. Most of the previous researches in store selection and patronage assume consumer behavior as single store patronage, and thus relatively little is known about patronage mix behavior. Also, little attention has been given to product characteristics as an important variable in store patronage behavior. The purposes of this study were to determine the effects of product characteristics in consumers patronage mix behavior. In this study, a theoretical model including product characteristics as an intervening variable between store attributes and patronage behavior was developed. A Questionnaire was developed and data were collected form 464 adult women living in Seoul area in Korea. Factor analysis, paired t-test, ANOVA, Duncan test and discriminant analysis were employed to analyze the data. As a result, the suggested model was partially verified. First, the product characteristic was found to have an effect on perceived importance of store attributes and on determinant attributes of stores. Consumers were found to use different evaluative criteria for store attributes when they purchase different product types. Second, the perceived importance of store attributes was determined by consumer characteristics as well as product characteristics. Third, the determinant attributes in store selection were affected not only by the perceived importance of store attributes but also by the type of product to be purchased.

• Korean Journal of Agricultural Science
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• v.38 no.1
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• pp.183-190
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• 2011

The paper is to analyze multi-attributes for expanding new renewable energy in agricultural sectors which have environmental, technical, economic, and social factors consisting of 15 attributes which have both positive and negative impacts. We applied the analytic hierarchy process (AHP) to data from opinion polls. As a result of the AHP survey, the overall results indicate that the respondents more weight on economical factor than environmental, technical, and social factors for expanding new renewable energy. At the lowest level, a comparison of individual 15 attributes within three factors shows that fixed cost highest in multi-attributes, followed by operating cost, technical superiority. To achieve the public acceptance about expanding new renewable energy in agricultural sectors, the policy-makers should take all relevant factors into account through the decision-making process by the public opinions.

• Journal of Korean Society for Quality Management
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• v.40 no.4
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• pp.589-598
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• 2012

Purpose: Determination of the importance values of quality attributes is very important to integrate the Kano model with QFD. A new method to determine the importance values of quality attributes is proposed. Methods: ASC(Average Satisfaction Coefficient) is proposed in order to determine the importance values of quality attributes. To evaluate the effectiveness of ASC, a case study of modern TV sets is conducted, and the performance of ASC is compared with direct importance evaluation and AHP pairwise comparisons. Results: The result of ASC application is similar with those of direct importance evaluation and AHP pairwise comparison. Conclusion: ASC is an effective instrument to determine the importance values of quality attributes. It doesn't need a cumbersome process like AHP pairwise comparison, and can be calculated using the data for the conventional Kano model.

• Knowledge Management Research
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• v.18 no.2
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• pp.103-127
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• 2017

This study examines the effects of failed airline services on the consumers' psychological process and their behavioral responses. Having different classifications from the previous studies, this study focuses on dividing important factors of airline services into search attributes(e.g. sale and procedure services, services concerning flight attendant, in-flight services) and experience attributes(e.g. flight services, collateral services). Using structural equation modeling, this study shows that the failure of service factors of the experience attributes provokes the feeling of disappointment with mediation effect of external attribution while the failure of service factors of search attributes provokes the feeling of regret with mediation effect of internal attribution. Finally, disappointment leads to consumers' complaint behavior while regret leads to consumers' switching behavior. Unlike previous studies, we show that when a service failure occurs, depending on each attribute, consumers feel negative emotions of disappointment or regret through different attribution processes and finally show different behavioral responses with an empirical analysis.

• Journal of Information Technology Applications and Management
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• v.11 no.2
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• pp.65-80
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• 2004

The primary purpose of this study is to investigate ASP (Application Service Provider) vendor attributes that affect ASP client satisfaction. From the relevant literature, ASP vendor attributes that might affect the ASP client satisfaction were derived from which the survey questions were formulated. The survey was conducted among the companies that have adopted ASP. Through the factor analysis of the survey results, the following vendor attributes - vendor's IT infra structure, service reliability, service flexibility, vendor stability, IS maturity, information sharing - were derived ; and the relationships between those attributes and ASP client satisfaction were explored. The result of this study revealed that IT infra, service flexibility, vendor stability are related to ASP client satisfaction. The customer satisfaction factors in the traditional outsourcing -- reliability, IS maturity, information sharing were proved to be not applied in ASP environment. This study provides ASP vendors with guidelines on how to improve their ASP strategies to satisfy clients. The results of this study can also be used by client companies as a decision basis for ASP vendor selection.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2011.04a
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• pp.267-272
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• 2011

The purpose of this study was finding selecting attributes of serviced residence and suggesting right direction of serviced residences. Research methods weresocial survey research with questionnaire and field survey. Field survey was conducted from September 20, 2010 to November 9, 2010 on 6 serviced residences. 106questionnaire survey data collected near by CBD. SPSS 18.0 program was used for Statistical analysis. Majorfinding were following; analysis methods were Frequency, $x^2$-test and ANOVA. Selecting attributes were divided into general attributes, facilities, services and individual units. First, pleasant atmosphere was the most important item amonggeneral attributes. Second, buffet restaurant was the most important items among facilities. Third, mail delivery service was the most important item among services. Fourth comfort was the most important item among individual units. In conclusion, serviced residences need more elaborate management, improvement of lobby lounge, provision of optional services and comfortable environment of individual units.

• Journal of Community Nutrition
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• v.7 no.1
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• pp.58-63
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• 2005

Identifying quality attributes with the greatest value to the residents is important if the Continuing Care Retirement Community (CCRC) is to increase the frequency of residents' dining. However, it is not known which specific attribute is relatively more important than others to evaluate foodservice. The purpose of this study is to identify the relative importance of food and service quality attributes in the evaluation of foodservice in CCRe. This study surveyed the independent living residents of three CCRCs in the Midwestern states. Respondents placed great importance on taste and flavor of food which has the highest percentage of utility range ($28.28\%$) and the second greatest on appearance of the server ($23.46\%$) . The important attributes were ultimately used to predict the most preferred choice of food-service for residents. Knowledge of the importance of the attributes would enable the foodservice managers in CCRCs to manipulate those attributes to enhance the residents' perceptions of quality and identify strategies for continuous improvement.