• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2012.10a
• /
• pp.715-717
• /
• 2012

최근 SNS나 소셜미디어등 온라인을 통해 고객들의 서비스에 대한 정성적인 평가 및 요구사항이 실시간으로 표현되고 있으므로 병원, 은행,회사 등 각 기업에서는 서비스에 대한 부정적인 여론이 확산되기 전에 능동적으로 대응할 수 있는 시스템의 필요성이 요구되고 있다. 기존의 정형화된 설문을 통한 고객 니즈 분석으로는 다양한 온라인 플렛품 상의 소비자 경험, 의견 및 감성을 분석하기가 어렵다. 따라서, 다양한 온라인 플렛폼의 등장 소비자 Life-Style의 변화 등으로 기업이 시장과 고객들의 행동패턴을 파악 및 예측하여 분석, 관리하고 대응할 수 있는 시스템이 필요하다. 본 연구에서는 기업의 마케팅, 홍보, 기획 등 B2C 서비스 기업 활동에 효율적으로 활용할 수 있는 고객 평판분석 관리 시스템을 제안한다. 특히, 제안한 시스템의 효율성 검증을 위해 실제 테스트베드 프로토타입을 개발한다.

• Convergence Security Journal
• /
• v.18 no.1
• /
• pp.103-110
• /
• 2018

Modern society is increasingly demanding in many areas of big data processing technology to collect, aggregate, and analyze large amounts of data over the Internet and SNS. A typical application is to evaluate the reputation of a company or college. To measure and quantify a reputation, fair and precise data and efficient data processing are very important. For this purpose, a quantitative quotient was obtained using public data, a qualitative quotient was obtained through sentiment analysis using news articles, and a complex college reputation quotient was calculated. In this paper, a complex college reputation quotient was calculated based on the quantitative index, reflecting the sentimental reputation, and based on the proposed mixed university system. In this paper, the Complex College Reputation System(CCRS) was proposed, which produced the Complex College Reputation Quotient with an objective quantitative quotient and qualitative quotient reflecting the sentimental reputation to measure the college reputation.

• Journal of Korea Society of Industrial Information Systems
• /
• v.26 no.5
• /
• pp.69-77
• /
• 2021

This study aims to identify security-based threat information for an organization. This is because protecting the threat for IT systems plays an important role for an corporate's intangible assets. Security monitoring systems determine and consequently respond threats by analyzing them in a real time situation, focusing on events and logs generated by security protection programs. The security monitoring task derives priority by dividing threat information into reputation information and analysis information. Reputation information consisted of Hash, URL, IP, and Domain, while, analysis information consisted of E-mail, CMD-Line, CVE, and attack trend information. As a result, the priority of reputation information was relatively high, and it is meaningful to increase accuracy and responsiveness to the threat information.

• Journal of Digital Convergence
• /
• v.11 no.2
• /
• pp.235-242
• /
• 2013

Reputation systems aggregate users' feedback after the completion of a transaction and compute the "reputation" of products, services, or providers, which can assist other users in decision-making in the future. With the rapid growth of online e-Learning content providing services, a suitable reputation system for more credible e-Learning content delivery has become important and is essential if educational content providers are to remain competitive. Most existing reputation systems focus on generating ratings only for user reputation; they fail to consider the reputations of products or services(item reputation). However, it is essential for B2C e-Learning services to have a reliable reputation rating mechanism for items since they offer guidance for decision-making by presenting the ranks or ratings of e-Learning content items. To overcome this problem, we propose a novel collaborative filtering based reputation rating method. Collaborative filtering, one of the most successful recommendation methods, can be used to improve a reputation system. In this method, dual information sources are formed with groups of co-oriented users and expert users and to adapt it to the reputation rating mechanism. We have evaluated its performance experimentally by comparing various reputation systems.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.25 no.3
• /
• pp.649-664
• /
• 2015

Recently, the risk of security incidents has been increased due to change of IT environment and development of new hacking methods. Event study methodology that measures the effect of a specific security incident on the stock price is widely adopted to analyze the damage cost of security incidents on market value. However, analysis of company's temporary stock price change is limited to immediate practical implication, and reputation loss should be considered as a collateral damage caused by security incidents. We analyzed 52 security incidents of listed Korean companies in the last decade; by refining the criteria presented by Tobin's q, we quantitatively showed that the companies has significantly higher reputation loss due to security loss than the other companies. Our research findings can be used in order that the companies can efficiently allocate its resource and investment for information security.

• 프린팅코리아
• /
• v.12 no.4
• /
• pp.110-113
• /
• 2013

오프셋인쇄는 세계적으로 기장 많이 사용되는 인쇄기업으로, 고품질 인쇄물 생산에 적합하다. 인쇄물 품질 평가는 계조재현성, 색재현성, 망점재현성, 인쇄균일성, 선예성, 콘트라스트, 광택, 뒤비침, 내구성, 공해성 등을 객관적으로 분석해 이뤄진다. 대한인쇄문화협회에서는 문화체육관광부의 지원을 밭아 '품질향상을 위한 평판 오프셋 인쇄기 운용기술' 교재를 개발해 고품질 인쇄물 생산을 위한 인쇄기 기본정비와 품질관리 등에 대해 정리했다. 본지에서는 교재에 게재된 내용을 정리해 연재한다.

• 프린팅코리아
• /
• v.12 no.5
• /
• pp.110-115
• /
• 2013

오프셋인쇄는 세계적으로 가장 많이 사용되는 인쇄기업으로, 고품질 인쇄물 생산에 적합하다. 인쇄물 품질 평가는 계조재현성, 색재현성, 망점재현성, 인쇄균일성, 선예성, 콘트라스트, 광택, 뒤비침, 내구성, 공해성 등을 객관적으로 분석해 이뤄진다. 대한인쇄문화협회에서는 문화체육관광부의 지원을 받아 '품질향상을 위한 평판 오프셋 인쇄기 운용기술' 교재를 개발해 고품질 인쇄물 생산을 위한 인쇄기 기본정비와 품질관리 등에 대해 정리했다. 본지에서는 교재에 게재된 내용을 정리해 연재한다.

• 프린팅코리아
• /
• v.11 no.10
• /
• pp.126-131
• /
• 2012

오프셋인쇄는 세계적으로도 가장 많이 사용되는 인쇄기업으로, 고품질 인쇄물 생산에 적합 하다. 인쇄물 품질 평가는 계조 재현성, 색재현성, 망점재현성, 인쇄균일성, 선예성, 콘트라스트, 광택, 뒤비침, 내구성, 공해성 등을 객관적으로 분석해 이뤄진다. 대한인쇄문화협회에서는 문화체육관광부의 지원을 받아 '품질향상을 위한 평판 오프셋 인쇄기 운용 기술' 교재를 개발해 고품질 인쇄물 생산을 위한 인쇄기 기본정비와 품질관리 등에 대해 정리했다. 본지에서는 교재에 게재된 내용을 정리해 연재한다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.13 no.6
• /
• pp.1-14
• /
• 2018

As interest and consumption of luxury goods have become more popular, luxury goods market is growing rapidly. Consumers can acquire psychological satisfaction with material abundance by purchasing and using luxury goods. Also, from the view of corporations, luxury goods have price inelastic characteristics, so they can enjoy price premium and it is good to produce good performance. That is the reason why they should pay much attention to securing luxuriousness. This study examined the establishment of brands luxuriousness in Korean SMEs. First, it examined the world market of luxury goods industry and the present condition of Korean market. Then it identified the constituents of luxuriousness by examining the prior studies and related literatures, and designed a research model based on the theoretical grounds to suggest the methods of brand luxuriousness building of Korean SMEs. Luxuriousness can be defined as the attribute of product that distinguishes luxury goods from other products by consumers' perceptions, and the factor that provides situational benefits that motivate consumers' purchasing behavior. In this study, I identified the sub-dimensions of luxuriousness according to whether there are product related attributes and consumers' benefit in consideration of the problems of existing studies. Product related luxuriousness are classified into superiority(functional benefit) and scarcity(experiential benefit), while non-product related luxuriousness are classified into differentiation(symbolic benefit) and traditionality(exclusive benefit). The following are the ways to build brand luxuriousness. First, company can use product factors. High quality, excellent design, high recognized brand with strong, favorable and unique images can enhance the luxuriousness of brand. Second, company can use price factors. Consumers tend to perceive luxury goods as high-priced items, so lowering the price of product can undermine the luxuriousness of product. Third, company can use distribution factors. It is effective for making consumers to perceive the differentiation and scarcity of luxuriousness through limited distribution channel. In addition, store atmosphere suitable for luxury brands should be created. Fourth, company can use promotion factors. The more consumers are exposed to advertisements, the more positive attitudes toward luxury brands are made, and consumers recognize luxuriousness higher. Price promotion negatively affects consumers' perception of luxuriousness. Fifth, company can use corporate factors. Consumer evaluations of products are influenced not only by the product attributes but also by the corporate association and corporate image surrounding the product. Considering the existing researches, it is possible to enhance the brand luxuriousness through high corporate competence and good corporate reputation. In order to increase the competence of the enterprise, it is useful to approach multidimensionally in relation with the knowledge creation capability. In corporate reputation, the external stakeholders' reputation is important, but the internal members' reputation is also important. Korean SMEs will be able to build brand luxuriousness by establishing marketing strategies as above and/or mix(integrate) them according to the situation.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.17 no.10
• /
• pp.2439-2446
• /
• 2013

Recently, SNS (Social Network Service) such as Twitter and Facebook has grown dramatically because of smart phones. Since development of IT has created massive information, social big data extremely increased. Competition between corporations is getting more intense, so they need customer feedback in order to fulfill an effective management. Because social big data plays an important role for getting customer feedback, a lot of corporations are interested in analyzing and applying of social big data. Collecting and analyzing social big data is operated by Buzz monitoring system. This paper demonstrates the research of buzz monitoring system that analyzes big data, and presents examples of customer reputation using buzz monitoring. In the paper, after all, it would analyze the result from the customer reputation, and research the implication.