• Culinary science and hospitality research
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• v.21 no.6
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• pp.76-90
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• 2015

This study investigated the effects of online shopping malls' HMR selection attributes upon satisfaction and repurchase intention. Study subjects were Busan residents from whome 252 valid questionnaire responses were collected and used for analysis. The study conducted afrequency analysis to explain demographic characteristics using SPSS 18.0. Other anaylses were perfromed in order to investigate the effects of online shopping mall HMR selection attributes upon satisfaction and repurchase intention. The findings revealed that convenience, package brands, palatability, price and food quality appropriateness exhibited a significant influence, although food quality did not have a significant influence on customer satisfaction. In addition, customer satisfaction had a significant influence upon repurchase intention. Therefore, a high added value brand with high quality packing and design is thought to be more important than inexpensive price and low quality.

• The Journal of the Korea Contents Association
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• v.13 no.3
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• pp.99-108
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• 2013

This research attempts to identify N-screen users' motivational and dissatisfying factors in relation to their willingness for continued future use of the service. An on-line survey was conducted (N=558) to reveal five major factors for N-screen use: Medium usability (interface usability and daily usefulness), Socialness (potential for social use with family and friends), Mobility (use without restraints of time and space), Contents (diversity of contents catalogue and related information search), and Habitual use. With exception of Contents factor, four of those factors were proven to be meaningful predictors of the users' willingness for continued future use of N-screen service. Meanwhile, two factors were extracted as the major source for N-screen users' dissatisfaction: Customer service (dissatisfaction associated with the service itself) and Contents (dissatisfaction relating to contents use). The effect of those two dissatisfaction factors was examined. The results show that Contents dissatisfaction, in comparison with Customer service dissatisfaction, was a more powerful predictor for discontinuing of N-screen service use.

• Journal of the Korea Society of Computer and Information
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• v.16 no.1
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• pp.191-199
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• 2011

Under the influence of a paradigm shift for administrative service of public institutions in around the world, the 'Government Affairs Assessment Act' has been enacted in Korea in March 2006. By the law, each local governments have been obligating to conduct self-assessment and resident's satisfaction survey for improving administrative service. Thus, the purpose of this study is to evaluate the administrative service quality of district offices(in seoul) in order to meet the government's efforts, and to derive improvement point of administrative service quality in district office. Consequently, this study shows administrative service quality factors affecting resident's overall satisfaction degree, service value maturity and positive image maturity of district office and then, will explore improvement ways of each district office through attribute analysis of administrative service quality.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.5
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• pp.844-855
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• 2010

An important issue for the improvement of product quality is to identify and understand the customer-required attributes of a product. This paper identifies and analyzes customer-required attributes of formal knitwear for middle age and elderly women through the use of the Kano model in order to develop competitive products. Various research methods were used in this study. Customer voices for formal knitwear were collected by means of brainstorming and in-depth interviews. The collected customer voices were transformed into customer-required attributes with the use of an affinity diagram. In addition, the data was collected by means of a questionnaire and was statistically analyzed to examine the dimensions of customer-required attributes on the basis of the Kano model. The results are as follows. Five categories of customer-required attributes were identified (symbolism, aesthetic, fitness, usefulness, and maintenance). The analysis based on the Kano model identifies a strong one-dimensional quality in all of the categories of customer-required attributes and the attractive quality that includes a one-dimensional quality in the categories of fitness and usefulness. The findings of this study demonstrate the applicability of the affinity diagram for apparel that educates formal knitwear developers of the customer-required attributes that they should strategically focus on in order to develop competitive products.

• The Journal of the Korea Contents Association
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• v.10 no.8
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• pp.349-359
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• 2010

The purpose of this study is to design the On-line Insurance Sales Support System using Case-Based Reasoning(CBR). In on-line insurance subscription process, this system provides the personalized insurance payment cases and insurance statistics for customers to entice an insurance subscription. By measuring, specifically, similarities between the user profile and insurance payment cases, it suggests the best insurance payment case which has the highest similarity and reflects the latest in the insurance payment cases. In addition, it serves the insurance statistical information that matches with the attributes of the finally-selected case. These functions can be useful in on-line insurance sales.

• Journal of Digital Contents Society
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• v.13 no.3
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• pp.385-392
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• 2012

The definition of the product market in a supplier's point of view can cause various problems in the market activities of companies because specific situations are excluded and the consideration for discontinuity is lacking by identifying segmented markets with processes, raw materials, the similarity of product functions and so forth. Furthermore, as this definition is static and general, it is difficult to express and predict the dynamic market changes. Meanwhile, customer-oriented market segment can be obtained by grouping substitutable products and related customers in the situation pursuing specific benefits. This definition of the product market enables us to find threats and opportunities emerging in markets and promotes effective performance assessments and resource allocation. The purpose of this paper is suggesting a framework to select data mining techniques proper for the customer data characteristics to identify customer oriented product market.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.12 no.1
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• pp.43-64
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• 2001

The purpose of this study was to measure performance of university libraries, especially investigating the components of service quality and their relationship to the customer satisfaction. The result of the statistical analyses is summarized as follows： The result of 5 point scale study shows the following degree of satisfaction in 55 components： timeliness of circulation, processing of fine. location of library, usefulness of retrieval system, library user education, speed of retrieval. number of terminals, and cleaning. On the other hand, shows the following degree of dissatisfaction in 55 components： speed of civil petitions, hour for program use, result of civil petitions, fixing of library user education, speed of retrieval, method of public relation, waiting time for Internet use, and use of the other library materials. Also. customers’matters of weight and importance was availability. learning facilities, suitable collections, circulation, and system of retrieval.

• Korean Business Review
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• v.19 no.1
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• pp.35-51
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• 2006

Airline industry which is depressed owing to terror attack on September 11 and Iraq War in early 21 century through high fuel cost and continuous recession in the second half of 90's is gradually recovering from the year of 2004. So demand of airline industry is rising step by step and investment of airlines toward customer service is also going up. Recently some mega carriers in head customer service in-flight internet service. In addition, so do domestic airlines and others ant to be backward. Many Study on usage attitude toward internet have been argued continuously as a result of everyday life using internet. Although there were survey for the revenue perspective of the firm, study on the side of the consumer is so rare. This study used the model of DEA -conjoint what users of the in-flight internet service now attitude and preference important factors to use. As a result, factors chosen are method to charge, service speed of internet, quality of contents provided and ease of approach toward information. This study presents airlines supplying in-flight internet service now to differentiation strategy for each segment.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.229-238
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• 2015

This study is to look into importance and achievement on awareness of creative musical audiences, who use SNS, by the use of Importance Performance Analysis(IPA), and to find ways to improve the recognition of creative musical by performance enterprise. In other words, the study is to discover choice attributes, that need to be urgently improved, which importance is rated high but which achievement is rated low. As a result, it is learned that composition of content(memorable dialogue), admission fee(ticket prices, charges of using additional facilities), theater(parking), composition of stage(acoustics of the stage), staff services(ticket box staff, usher, and etc. are should be properly controlled by staff expertise) need to be consistently improved. In addition, it is learned for SNS non-user group that choice items such as creative musical choice attribute(admission fee), composition of stage(acoustics of the stage), production(overall music from a musical), admission fee(ticket prices, charges of using additional facilities), and theater(parking) need to be improved.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.259-266
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• 2023

In this paper, we propose an algorithm that can improve the accuracy performance of collaborative filtering using attribute-based opinion mining (ABOM). For the experiment, a total of 1,227 online consumer review data about smartphone apps from domestic smartphone users were used for analysis. After morpheme analysis using the KKMA (Kkokkoma) analyzer and emotional word analysis using KOSAC, attribute extraction is performed using LDA topic modeling, and the topic modeling results for each weighted review are used to add up the ratings of collaborative filtering and the sentiment score. MAE, MAPE, and RMSE, which are statistical model performance evaluations that calculate the average accuracy error, were used. Through experiments, we predicted the accuracy of online customers' app ratings (APP_Score) by combining traditional collaborative filtering among the recommendation algorithms and the attribute-based opinion mining (ABOM) technique, which combines LDA attribute extraction and sentiment analysis. As a result of the analysis, it was found that the prediction accuracy of ratings using attribute-based opinion mining CF was better than that of ratings implementing traditional collaborative filtering.