• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.10
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• pp.2886-2892
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• 2009

This research focuses on searching primary factors in accessing internet shopping sites. In this research we have derived primary factors such as the order factors, the product factors, and the delivery factors by factor analysis approach. We have done AHP analysis on these derived primary factors. The results of AHP analysis show that the most important factor is the product factors and the most important sub factor among the product factors is the after service factor including guaranteed returns and refunds, and product exchangeability. The next important factor is the incentive provision in which discount coupons, mileage accumulation policies are the main sub factors included.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.4
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• pp.1595-1603
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• 2013

This study uses the Importance Performance Analysis (IPA) on viewing motivation for the revitalization of Korean creative musicals. The IPA is the evaluation techniques to simultaneously compare and analyze relative importance and achievement of each attribute for multi-attribute models. This analysis uses the discerning method by displaying the matrix that includes the factors about which customers care and customer satisfaction on each factor. The customer satisfaction is determined by customer expectation for each attribute and its implementation level. This study, through this method, exams the importance and satisfaction level on attributes of viewing motivations for Korean creative musicals.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.330-331
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• 2010

소프트웨어 아키텍처는 소프트웨어의 품질에 지대한 영향을 미치는 요소 중 하나이다. 소프트웨어 개발 생명주기 초기에 아키텍처를 분석하고 평가하지 않으면, 점점 품질결함을 발견하고 수정하는 비용이 증가한다. 기존 소프트웨어 아키텍처 분석 및 평가 방법은 아키텍처라는 상당히 추상화된 수준에서 분석 및 평가가 이루어지기 때문에 평가기준이 주관적이며, 선택된 아키텍처 후보들만으로 서로에게 미치는 품질속성의 영향을 파악하기 힘들다. 따라서 품질 속성 시나리오나 아키텍처 전략을 구현하기 위한 세부적인 아키텍처 전술들의 품질평가가 필요하다. 본 연구는 이러한 아키텍처 전술의 품질 평가를 위해, Q-SIG(Quantified Softgoal Interdependency Graph)을 이용한 품질속성과 이를 달성하기 위한 아키텍처 전술의 관계를 정성적, 정량적으로 표현한다. 또한 Bayesian Belief Network(BBN) 모델 구축을 통해 Q-SIG에서 표현할 수 없는 다수의 품질속성을 만족하는 아키텍처 전술들 간의 조합에 대해 분석하고, 평가하여 아키텍트가 소프트웨어 디자인 단계에서 높은 품질속성을 달성할 수 있는 아키텍처 전술들의 조합을 선택할 수 있는 방법을 제시한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.10b
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• pp.957-960
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• 2000

프로그래밍 환경이 단순구조 편집환경에서 보다 복잡한 환경으로 진보되고, 언어 기반 편집 환경의 비중이 확대되면서 속성 문법의 점진적 평가의 이용이 효과적이다. 점진적 평가는 새로운 속성 트리가 기존의 속성 트리와 정확히 비교되어 기존 속성 트리를 사용하여 새로운 속성 트리를 구성한다. 본 논문에서는 Carle의 알고리즘을 분석하고 새로운 점진적 평가 알고리즘으로 재구성한다. 특히, 새로운 속성 트리 $d'_{copy}$의 생성 과정과, 최적화된 속성트리의 새로운 점진적 평가 알고리즘을 추가한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.5
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• pp.2187-2197
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• 2013

The purpose of this study is to investigate the influence of guarantee advertising by three sports stars (Jisung Park, Doori Cha, and Tahwan Park) working for famous sport brand names such as Nike, Adidas, and Fila on the intention of purchasing. In the study, total 240 people of all ages but those who are under twenty are chosen to conduct a survey. The results of investigation is the followings. First, with the respect of gender and age there are statistically meaningful differences between sports stars' guarantee advertising and consumers' intention of purchasing sporting goods that result from demographical elements. Second, how the guarantee advertising of sports stars have an influence on consumer's intention of purchasing products results in the three sports stars in a different way. As for Jisung Park, the result represents that his athlete characteristics such as expertise, creditability and similarity have to do with consumers' intention of purchasing goods most. Third, as for Doori Cha, the result identifies that his creditability and similarity plays an important role for the consumers' intention of purchasing. Forth, as for Tahwan Park, similarity has some meaningful influence on the sport consumer's intention of purchasing. The fact that similarity plays an important role in common for the consumers' intention of purchasing is noteworthy to the researchers relating to the advertisement area.

• The Journal of the Korea Contents Association
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• v.13 no.3
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• pp.444-455
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• 2013

The purpose of this study is to explore the selection attributes for parents of children with language disability when choosing a clinic. The data collection was carried out in 3 steps: the preliminary survey, first open survey and second survey in AHP(Analytic Hierarchy Process). The subjects of were 252 in total. The results were as follows: First, The order of priority attributes in superior categories for parents of children with language disability when selecting a clinic were 'therapist-related attributes', 'program-related attributes' and 'physical-related attributes' in turn. The top 5 priority attributes in subcategories were 'therapist's academic background and major', 'ability to make a rapport', 'clinical experience and qualification of therapist', 'kindness and confidence' and 'counseling program for parents'. Second, The parents of preschoolers age 6 and younger chose 'clinical experience and qualification of therapist', 'counseling program for parents' and 'learning materials' for the most priority attributes, whereas the parents of students age from 7 to 12, considered 'therapist's academic background and major', 'clinical fee' and 'distance transport parking' more importantly to select a clinic. The results of this study provided preliminary data for successful planning of speech and language therapy.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.69-90
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• 2023

The purpose of this study is to evaluate the service attributes and consumer reactions of telemedicine apps in South Korea and visualize their differentiation by constructing positioning maps. We crawled 23,219 user reviews of 6 major telemedicine apps in Korea from the Google Play store. Topics were derived by BERTopic modeling, and sentiment scores for each topic were calculated through KoBERT sentiment analysis. As a result, five service characteristics in the application attribute category and three in the medical service category were derived. Based on this, a two-dimensional positioning map was constructed through principal component analysis. This study proposes an objective service evaluation method based on text mining, which has implications. In sum, this study combines empirical statistical methods and text mining techniques based on user review texts of telemedicine apps. It presents a system of service attribute elicitation, sentiment analysis, and product positioning. This can serve as an effective way to objectively diagnose the service quality and consumer responses of telemedicine applications.

• The Journal of the Korea Contents Association
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• v.16 no.4
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• pp.12-22
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• 2016

The present study aims to evaluate the self-determined motivational features of smartphone addiction management apps. This study analyzed whether smartphone addiction management apps have features to support adolescent users' basic needs, that is, autonomy, competence, and relatedness. 26 apps were analyzed. Among them, 8 apps were parental management apps installed on a parent's phone and a child's phone, and 18 apps were self-management apps installed on a child's phone. According to a content analysis, only 3 of 26 apps addressed all three basic needs. Overall, the functions to support users' competence and relatedness were rarely found. Particularly, parental management apps had a high level of controlingness. The results suggest that the addiction management apps have limitations in stimulating adolescent users' self-determined motivation to manage their phone use.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.10
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• pp.4328-4336
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• 2011

The aim of this study is to find changes of the attributes that influence the purchase of cut roses during recent five years(2007~2011) and suggest some implications on ways to promote cut roses marketing. For this purpose, a survey was conducted through the Internet among 1,100 randomly chosen people living in Seoul, Inchon and Gyeonggi Province in 2011. A total of 1,023 valid replies were received for the analysis of the survey which was carried out by the subsidiary consulting firm. The survey panels and estimation models to analyze changes of consumers' preference attributes during recent five years are same to them of Kim, et al.(2007). That is, empirical analysis tools such as ordered probit model, multinomial logit model, and conjoint analysis were used according to Kim, et al.(2007). This paper suggests several policy implications to set up the target market of cut roses and marketing mix strategy to specify the best 4P(product, price, place and promotion).

• 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.