• Journal of Digital Convergence
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• v.16 no.8
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• pp.311-320
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• 2018

In this study, we conducted a survey on the 20 - to 30-year-olds woman and men in a total of 291 questionnaires to analyze the impact on the level of customer satisfaction and revisit the factors of service quality and hospital selection. Analysis result, found that there was a correlation between the quality of service, customer satisfaction, and factors of re-intervient inquiry when selecting hospitals. In particular, it was found that hospital expenses and hospital map were affected by customer satisfaction and re-investigation companies, and the quality of the service after treatment had the greatest impact on other variables. As such, these results are considered to be of overall concern to the physician's ability to perform the procedure as well as to the service of the staff. Various follow-up studies are needed depending on the region.

• Fashion & Textile Research Journal
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• v.17 no.3
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• pp.421-428
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• 2015

This research is to understand customer satisfaction with virtual fitting based on a 3D body scanner and avatars as well as differences between avatars and the 'real me'. To this end, this research examined Korean college students to facilitate 3D body scanning, avatar generation and surveys. The author used 3D body scan data with direct measurements to identify differences between the 3D body scan data-based 'my avatar' and 'real me' in the virtual dress fitting system. The survey results on 'the level of customer awareness on 3D body scanner' found that the majority of both genders did not know about it and indicated a lower usability to incorporate IT technology into the fashion industry. The question in the 3D body scanning and avatar found an affirmative attitude. Satisfaction levels on the 3D avatars' similarity with 'own body' and garment fitting were positive and indicated a need for further technological improvements to express the avatars identical to customers' own body. More research is necessary for the accuracy of sizes for 3D body scanning that measure body sizes while wearing clothes. Avatars based on such datamay be less similar to 'own body' and cause customer dissatisfaction. Thus, further technology development is required to narrow gaps using data to make avatars that provide more accurate virtual fitting simulation services to customers.

• Journal of Navigation and Port Research
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• v.41 no.6
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• pp.423-436
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• 2017

This study examines the level of port service quality based on $Gr{\ddot{o}}nroos$(1984)'s Two-Dimensional Model: we investigated service-environment quality and service-delivery quality, and added service-product quality as a process quality. This study focused on a service user like a llner, forwarder, shipper, or a logistics firm using port service in the Port of Busan. We investigated relationships among the following vairables: service quality, customer satisfaction and port image; we also analyzed the path coefficients using Smart-PLS 3.0. The results and suggestions of this study are summarized as follows. First, all of the service quality variables influenced customer satisfaction but service-delivery quality didn't have an impact on port image. Secondly, there is correlation between customer satisfaction and port image; customer satisfaction had a positive effect with port image. Lastly, customer satisfaction and port image influenced the Relation Continuity Intention.

• Journal of the Korean Society for Library and Information Science
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• v.41 no.4
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• pp.113-134
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• 2007

This study deals with the role and responsibility of university library in multicultural society. For this purpose, centered the Chinese students in Pusan University, with internet questionnaire surveys on customer satisfaction to the current library portal service and set up a effective digital library evaluation model. In the meanwhile we borrowed evaluation methods and items from LibQUAL+ in part, a world wide famous model, and use Tsinghua University Library's evaluation statistic norms. To summarize the results of this survey, Chinese student's service satisfaction about Pusan University library is still fairly low. Undergraduate and graduate students(including doctor courses) group follows, undergraduates student's satisfaction level is lower than graduate. By analyzing simple satisfaction we can know that library portal service maintained low importance or influence to the user, to internet space user's satisfaction is a relatively high level. And compared with other dimension, statistic data show out that internet space user's satisfaction still maintained a relative high level.

• Health Policy and Management
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• v.18 no.3
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• pp.41-57
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• 2008

To examine the gap between physician's perceived importance and performance of care and to identify factors associated with the gap. A self-administered questionnaire survey was conducted with 91 physicians working in a University hospital in Seoul. The respondents were asked about their perceived importance and actual performance of interpersonal care on a 5-point Likert-type scale, indicating a higher score as higher importance and performance. Interpersonal care was measured by questions modified from the Korean Standard Service Quality Index, which are grouped into 6 categories: basic services, extra services, reliability, courtesy, convenience, and tangibles. Multiple regression analysis was conducted to find out physician characteristics associated with the gap. All of the 6 interpersonal care categories showed lower performance than perceived importance. The respondents tended to have a worse performance than perceived importance as the number of patients per outpatient care session ($\beta$=-0.0204, p<0.05) and the need for customer satisfaction education increase ($\beta$=-0.2226, p<0.05). Female physicians ($\beta$=0.2336, p<0.05) and those with higher job satisfaction($\beta$=0.0096, p<0.05) showed a better performance than perception. Overall, it appears that lower quality of interpersonal care was delivered to patients than the desired level considered by the responding physicians. Based on the regression analysis results, it is suggested that reducing patient volume per session, fulfilling education need for customer satisfaction, and improving job satisfaction may contribute to reduce the gap between physician's perceived importance and performance of interpersonal care.

• Fashion & Textile Research Journal
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• v.5 no.3
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• pp.235-243
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• 2003

This study is to figure out where the current satisfaction with ready-to-wear clothes based on middle-aged women's body shapes is at and to propose basic considerations in its production for coming up with a better sizing system to maximize customer's satisfaction. The data obtained from measurement and questionnaire by 126 middle- aged (35-59) women which were located in Gwangju. Followings are summary of this research, 1)The satisfaction level with lower -wear is relatively lower-wear than that of upper-wear in most parts of body. 2) The results by way of putting score show three different groups. Group 1 has characteristics of front body silhouette in the small ratio of shoulder width/bust width, shoulder width/waist width and big ratio of shoulder width/hip width. And Group 3 has characteristics of front silhouette, small ratio of hip girth/thigh girth. Group 2 has a standard shape. 3) The satisfaction level with lower-wear based on middle-aged women's body shapes shows slight difference. In this category, Group 2 has higher satisfaction level than that of Group 1, while Group 1 has better shape than Group 3. 4) The items of clothes which should be considered current less satisfaction on their size and pattern are skirt and pants. In the meantime, specific body parts for the same criteria are hip girth, thigh girth. And the 43.7% of middle-aged women who responded to this study requires improvement on the fit of lower-wear.

• Journal of Information Technology Services
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• v.15 no.1
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• pp.197-210
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• 2016

With the advent of text analytics, VOC (Voice of Customer) data become an important resource which provides the managers and marketing practitioners with consumer's veiled opinion and requirements. In other words, making relevant use of VOC data potentially improves the customer responsiveness and satisfaction, each of which eventually improves business performance. However, unstructured data set such as customers' complaints in VOC data have seldom used in marketing practices such as predicting service time as an index of service quality. Because the VOC data which contains unstructured data is too complicated form. Also that needs convert unstructured data from structure data which difficult process. Hence, this study aims to propose a prediction model to improve the estimation accuracy of the level of customer satisfaction by combining unstructured from textmining with structured data features in VOC. Also the relationship between the unstructured, structured data and service processing time through the regression analysis. Text mining techniques, sentiment analysis, keyword extraction, classification algorithms, decision tree and multiple regression are considered and compared. For the experiment, we used actual VOC data in a company.

• Journal of Korean Society for Quality Management
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• v.26 no.2
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• pp.93-105
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• 1998

Many large scale discount stores try to enter the market in newly developed city areas. In order to sucessfully increase the market share, it is essential for them to understand customers' needs. In doing so, various forms of survey methods are often used and survey forms can influence respondents' decision. The main objective of this paper is to check consistency of different survey methods in terms of deriving the expected market share. In this paper, we a, pp.y two survey forms for both AHP and conjoint analyses using a randomized complete block design. Using AHP, we compare Kim's club, Carf, E-mart and Macro in terms of the following four customer attributes: parking facility, size of store, business hours, and special pricing policy. In conjoint analysis, we estimate the part-worth of each level of the customer's attribute so that one can design the best store which would optimizethe customer's attribute so that one can design the best store which would optimize the customer's utility. Empirical comparison results indicate very low consistency between the two methods. It implies the importance of verification methods of survey. We also analyze the impact of special pricing policy using a meta analysis. It turns out that older customers are a, pp.rently more sensitive to pricing policy.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.3
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• pp.11-19
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• 2009

At present, an intelligent transport system (ITS) is being actively introduced as an alternative plan to solve various transport problems, and a traffic information provision service, a field of ITS, is being provided to users through diverse media. However, the evaluation of how useful the traffic information provided to the road users is limited to a simple questionnaire, and the systematic evaluation about what factors affect the usefulness of traffic information has not been realized. Therefore, it is impossible to calculate user convenience occurring due to traffic information, This paper aimed to develop an index to evaluate user satisfaction levels with traffic information and develop a user satisfaction level model. A result of establishing a user satisfaction level model by executing a questionnaire survey for the analysis object of variable message sign (VMS), a representative information provision medium, showed that 'desire satisfaction', 'trust', 'understanding', and 'efficiency' have an effect. Of them, the 'understanding' showed the highest level, so it was seen that, in case of VMS, how easily the character, figure, expression, etc. provided in the information was understood by users has the biggest effect on the satisfaction level of the information. The next levels of effects on the satisfaction was in the order of 'user trust', 'efficiency', and 'desire satisfaction'.

• The Journal of Society for e-Business Studies
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• v.26 no.4
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• pp.15-36
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• 2021

The airline industry faces with significant competition due to the rise of technology innovation and diversified customer needs. Therefore, continuous quality management is essential to gain competitive advantages. For this reason, there have been various studies to measure and manage service quality using customer reviews. However, previous studies have focused on measuring customer satisfaction only, neglecting systematic management between customer expectations and perception based on customer reviews. In response, this study suggests a framework to identify relevant criteria for service quality management, measure the importance, and assess the customer perception based on customer reviews. Machine learning techniques, topic models, and sentiment analysis are used for this study. This study can be used as an important strategic tool for evaluating service quality by identifying important factors for airline customer satisfaction while presenting a framework for identifying each airline's current service level.