• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.163-168
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• 2020

The purpose of this study is to investigate the relationship between the selection factors of sports climbing center, customer satisfaction, and re-registration. Data collection for the purpose of this study was collected through S center, B center, V center located in Seoul and K center located in Gyeonggi-do. A total of 296 valid samples were used for the analysis. To make sure the theory, it was based on analysis of frequency, factor analysis, reliability analysis and multiple regression. First of all, it was found that the factors of selecting the sports climbing center partially affected the customer satisfaction level. Second, it was found that the factors of selecting the sports climbing center partially affected the decision to re-register.

• Journal of Korean Society of Transportation
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• v.28 no.3
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• pp.99-107
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• 2010

Analyzing mode choice among transportation demand estimate procedures is complicated and understanding characteristics of travelers is also difficult. Generally, it is well known that traveler choose mode considering psychometric factors and characteristic besides socio-demographic indicators. Accordingly, many researches has investigated on methodology that can be applied in mode choice to reflect psychometric factor or specific preference. Latent Class Analysis among various studies is recognized as the theoretically potential approach. This study focuses on class segmented using latent class cluster to analyze impact that included psychometric factors and characteristics on mode choice. It also provides evidence that mode choice model for each class and mode choice model not considering latent class are different. This study based on citizen's stated preference and revealed preference on a new transit on the Han river shows that latent class cluster analysis is the potential approach considering latent preference.

• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.309-321
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• 2021

In this study, we proposed a hierarchy process analysis model for Kiosk known as technology-based self-service, In addition, we deduced the selection factors based on the literature review and calculated the weight of the factors. To estimate the priorities of selection factors, we used the data collected from consumers who have used Kiosks at cafe or fast food restaurant. The results of the study showed that the convenience among the factors in the first stage, consisted of safety, design, convenience, informativity, and responsiveness, revealed the most important factor in both cafe and fast food restaurant. Synthetic calculation of the first stage factors and the second stage factors showed that simple procedure was the most important factor. The results of comparing the priorities between cafe and fast food restaurant showed that consumers assessed their priorities differently in simple procedures, nutritional information, and fast menu provision.

• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.229-236
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• 2022

In this study, we proposed a hierarchical model of a mobile fashion shopping apps to find out factors that consumers consider when choosing a mobile fashion shopping apps, and also derived priorities by calculating the weights of the selection factors. To estimate the priorities of selection factors, we analyzed survey data collected from consumers who are currently using a mobile fashion shopping apps. As a result of this study, the first-step selection factors of the mobile fashion shopping apps consisted of economics, informativity, convenience, reliability, and additional service, and economics factor revealed to be the most important. Additionally, in the result of synthesizing the weights of the first-step and second-step selection factors, the coupons and discount event factor was found to be the most important. In the fierce competition of various mobile fashion shopping apps, the findings of this study not only proposed the evaluation model of mobile fashion shopping apps using the AHP technique but provided the priority of consumers' selection factors for mobile fashion shopping apps.

• The Journal of the Korea Contents Association
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• v.14 no.1
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• pp.478-487
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• 2014

The purpose of this research is to find out how the characteristics of healthy lifestyle and wine selection influence each other, and how healthy life and wine selection themselves influence the overall satisfaction of wine. The data collected for this study was taken from a sample of 285 persons during the period of August 29, 2013 to September 29, 2013. Extrapolating from the data, three different characteristics of a healthy lifestyle were identified: health confidence, health sensibility and a desire for good health. Three different characteristics of wine selection were also identified: wine label, wine experience and wine recommendation. The relations of influence between healthy lifestyle and wine selecting attributes were analysed through canonical correlation and regression analysis. This report concludes that healthy lifestyle and wine selection strongly influence each other and their combination has a significant influence on the satisfaction of wine. Among the different healthy lifestyle characteristics identified, the desire for good health was the primary factor that significantly influenced wine satisfaction. With regard to wine selection, the label of wine and experience of wine were the primary factors that significantly influenced wine satisfaction.

• Journal of the Korean Data and Information Science Society
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• v.27 no.5
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• pp.1317-1325
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• 2016

The purpose of this paper is to explain the factors affecting the wage of the vocational high school graduates. We particularly examine the effectiveness of controlling sample selection bias by employing the Tobit model and Heckman sample selection model. The major results are as follows. First it is shown that the Tobit model and Heckman sample selection model controlling sample selection bias is statistically significant. Hence all the independent variables seem to be statistically consistent with the theoretical model. Second, gender was statistically significant, both in the probability of employment and the wage. Third, the employment probability and wage of Maester high school graduates were shown to be high compared to all other graduates. Fourth, the higher parent's income, the higher are both the employment probability and the wage. Finally, parents education level, high school grade, satisfaction, and a number of licenses were found to be statistically significant, both in the probability of employment and wages.

• International Commerce and Information Review
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• v.19 no.2
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• pp.237-258
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• 2017

This research thoroughly analyzes prior literature related to the flexibility of cargo airlines to switch the airport and discusses the driving factors of such footloose nature. The main purpose of the study is to identify the most deterrent factors leading to airport relocation decision which determines cargo industries role on the global trade. Qualitative research based on systematic process analysis was conducted as a main research method. As a result, 24 factors related to airport-airline relationship were chosen and categorized into four main groups; (1) Location issues, (2) Restrictions, (3) Poor quality, and (4) High costs. The findings derived from the analysis of selected studies suggest that restriction related issues (e.g. night-time flight restrictions, customs administration) followed by location issues (e.g. absence of origin destination demand) have created more constraint to airport-airline relationship.

• Korean journal of food and cookery science
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• v.31 no.6
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• pp.749-755
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• 2015

The objectives of this study were to evaluate the gap between perceived importance and performance of foreign Chinese students' off-campus restaurants selection attributes and to analyze the factors affecting their satisfaction with off-campus restaurants. All statistical analyses were conducted using the SPSS package program (ver. 20.0). In summary, Importance-Performance Analysis results indicated that 'price propriety', 'ventilation of dining room' and 'friendliness of employees' were key aspects that should be reinforced by off-campus restaurant managers. Additionally, exploratory factor analysis on the validity of the 23 attributes of off-campus restaurant selection resulted in the identification of 5 factors including 'food quality and price', 'physical environment and value', 'service environment', 'service quality', and 'convenience and cleanness'. According to the results of multiple regression analysis, 'service quality', 'service environment', 'food quality and price', and 'physical environment and value' had significantly positive effects on overall satisfaction. In conclusion, in order to increase customer satisfaction among Chinese students, off-campus restaurant managers should improve not only the quality of service and food, but also the physical and service environment.

• Journal of Service Research and Studies
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• v.6 no.1
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• pp.29-50
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• 2016

The purpose of this study is to identify the motivation of using and choosing factors in credit cards. These results indicate that considerate of other people factor may emphasize the convenience and safety in using credit cards, while the leisure factor may prefer the real-worth factor as they know that the more they use, the more benefits they would get. As the personality factor and the fashion factor, we can pay much attention to the advertisements, promotions, card designs, the colors, the characters and the social positions of the card holders and that considerate other people factor may like the low annual fees and the accumulating points, buying items on the installments without paying additional interest, which had offered them cash service and card loan. The authors of this paper has suggested an information by which credit card companies can establish the strategies according to the lifestyle of the elderly in silver business market.

• Korea Real Estate Review
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• v.24 no.1
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• pp.91-104
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• 2014

This paper studied condo selection attributes that affected satisfaction, recommendation and revisitation, in particular, investigated gender and age differences. Research target is the group who revisited time-sharing condominium within one year. The paper seeks to understand factors that affect and contribute to customer satisfaction and intentions for reuse. This study model was analyzed by the basic statistical analysis, factor analysis, reliability analysis and multiple analysis, using SPSS 18.0 and AMOS 18.0. We found that 5 condo selection attributes that have significant affect on user satisfaction: facility, service, product, accessibility and expense. Furthermore it was evident that user satisfaction has a significant effect on condo recommendation and intentions of reuse. With regard to sex, for male users expense, accessibility and service had a significant effect on their satisfaction level, while for female users, product was most important. User satisfaction both have a significant effect on recommendation and intentions of reuse but for females this was more evident. Regarding the age, for 20~30 age band, service and product factor had a significant effect on user satisfaction in order, whereas, for the age band of over 40s, expense, product and facility factors were important. User satisfaction of both have a significant effect on recommendation and intentions of reuse. In the meantime user satisfaction of 20~30 age band had a bigger positive significant effect on recommendation and intentions of reuse than the age band over 40s.