• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.671-672
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• 2014

최근 기업의 효율적인 경영을 위해 다양한 소셜 채널에서 폭발적으로 생성되고 확산되는 빅 데이터를 실시간으로 분석하는 기술이 개발되고 있다. 본 논문에서는 관광서비스에 관해 소셜 미디어 상의 빅 데이터를 이용하여 보다 정확하고 효율적인 정보 수집과 분석이 가능하도록 하기위한 모델구축 방법을 제안하고 관광서비스에 관한 평판을 분석한다. 관광 산업 도메인 네트워크를 활용한 표준화, 일반화 확보를 위해 먼저 B2C 산업군 및 업종별 공통 수집원 추출 및 표준화 분석 체계 수립을 통한 해당 적용분야의 설계안 수립하고 관광객(소비자) 작성 게시글 분석을 위한 산업군 정보 추출하며 관광지, 숙박지, 교통 등 다양한 업종에 대한 분석 수행한다. 관광지에 대한 평가 기준을 기존의 설문이 아닌 SNS 상의 고객 의견을 바탕으로 호감도로 분석한다.

• The Journal of Society for e-Business Studies
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• v.25 no.4
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• pp.33-60
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• 2020

Along with the rapid advance in internet technologies, ubiquitous mobile device usage has enabled consumers to access real-time information and increased interaction with others through various social media. Consumers can now get information more easily when making purchase decisions, and these changes are affecting the brand landscape. In a digitally connected world, brand image is not communicated to the consumers one-sidedly. Rather, with consumers' growing influence, it is a result of co-creation where consumers have an active role in building brand image. This explains a reality where people no longer purchase products just because they know the brand or because it is a famous brand. However, there has been little discussion on the matter, and many practitioners still rely on the traditional measures of brand indicators. The goal of this research is to present the limitations of traditional definition and measurement of brand and brand image, and propose a more direct and adequate measure that reflects the nature of a connected world. Inspired by the proverb, "A man is known by the company he keeps," the proposed measurement offers insight to the position of brand (or brand image) through co-purchased product networks. This paper suggests a framework of network analysis that clusters brands of cosmetics by the frequency of other products purchased together. This is done by analyzing product networks of a brand extracted from actual purchase data on Amazon.com. This is a more direct approach, compared to past measures where consumers' intention or cognitive aspects are examined through survey. The practical implication is that our research attempts to close the gap between brand indicators and actual purchase behavior. From a theoretical standpoint, this paper extends the traditional conceptualization of brand image to a network perspective that reflects the nature of a digitally connected society.

• International Area Studies Review
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• v.15 no.1
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• pp.195-218
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• 2011

Discussion of Economic Community in East Asia are active. This trend began in the late 20th from the EU and North America's regional economic integration is in response to the movement. East Asia in the late 1990s to the actual for the FTA, it was not very active. As East Asian Economic Community became one of agendas for ASEAN+3 Leaders' meeting since 2004. Japan has been positioned itself as a leading country in East Asia. However, the emergence of China in the East Asian economic community have been changes. Moreover, East Asian countries began concerns over regional economic community with frequent conclusions of FTAs and China is leading the discussion on strengthening economic cooperation in the region. Some of it in terms of economic community in East Asia will not be smooth. First, East Asian countries do not have a common goal. Second, East Asian countries have a lot of diversity. Third, China and Japan are expected to compete in the championship. Therefore, East Asian economic community should be approached in the long-term perspective.

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

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.453-462
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• 2016

Since the Internet provides a way of expressing and sharing Internet users' mindsets, corporate marketers want to acquire measurable and actionable insights from web data. In the past, companies used to analyze the attitude, satisfaction, and loyalty of consumers toward their brands using survey data, whereas nowadays this is done using the big data extracted from Social Network Services. In this study, we propose a framework for clustering brand names using the social metrics gathered on social media. We also conduct a case study of the automobile industry to verify the feasibility of the proposed framework. We calculate the brand name distance for each pair of brand names based on the total number of times that they are mentioned together. These distances are used to project the brand name onto a 3-dimensional space using multidimensional scaling. After the projection, we found the clusters of brand names and identified the characteristics of each cluster. Furthermore, we concluded this paper with a discussion of the limitations and future directions of this research.

• Journal of Korea Port Economic Association
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• v.34 no.1
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• pp.19-34
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• 2018

This study analyzed specific ports' marketing strategies through interviews and, using fuzzy TOPSIS methodology, derived marketing strategies for the Incheon and Pyeongtaek-Dangjin ports by comparing them with the Busan port. Previous studies had concentrated on the Busan port, and the majority of these studies analyzed the present conditions and suggested 4P strategies using a marketing mix. After weighting all of the respondents' answers, the results show that among all marketing strategies, incentive provisions ranked the highest, followed by the intermediary role between the relevant agencies and companies, and last- the agent system for establishing local networks. The fuzzy TOPSIS analysis results showed that the Busan port had the best marketing performance. The most sensitive strategies, based on the sensitivity analysis, were the intermediary role between relevant agencies and companies in the Incheon port, and the incentive provision in Pyeongtaek-Dangjin port. The implications of this study are that the port management agencies' actual marketing strategies were similar to the marketing promotion strategies suggested by previous research, and thus, each port's marketing targets and their characteristics should be clearly defined.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.301-304
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• 2004

The curtain wall engineering of local high-rise buildings consists of many phases such as design, curtain wail design, manufacture, procurement, construction and facility management, each of which also involves many' actors such as architect, curtain wall consultants, manufacturers, contractors, and facility managers. Moreover, the method for controlling the C/W process of each participant is needed. Eliminating wastes and problems existed in the C/W process can be more effective. What is more, it is necessary to improve the efficiency of the current process and to strengthen the competence through application of SCM to the C/W life-cycle. In addition, it is important that a ]ot of information transfer smoothly and share through information system. Therefore, this study aimed to propose the scope of application and the improvement directions in applying Supply Chain Management concept.

• Journal of Convergence Society for SMB
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• v.6 no.3
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• pp.21-27
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• 2016

In this paper, we introduce the PB/MC-CDMA (Partial Block/Multi-Carrier-Code Division Multiple Access) system to mitigate inter-cell interference (ICI) and enhance user capacity in the small cell environment. In 5G mobile communications, the number of devices connected to the network is expected to increase exponentially with the expansion of the IoT (Internet of Things) services. In addition, each device is expected to be required by the various data rates by their content types. In LTE/LTE-A, there are some limitations that large scale connectivity and supporting various data rates. Therefore, we introduce a PB/MC-CDMA physical layer system which is suitable for the small cell environment, and evaluate the performance in the multi cell environment which is affected by ICI. Through computer simulation results, we demonstrate the effectiveness of PB/MC-CDMA for the small cell environment.

• Journal of the Economic Geographical Society of Korea
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• v.20 no.1
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• pp.16-33
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• 2017

This study analyzed the actual condition of the purchasing and selling network structures of manufacturing firms related the shipbuilding and offshore plant industry in Jeollanam-do using the social network analysis. The analysis results are as follows. The networks are often traded by subcontracting relationship with large firms because the industry is configured in most small and medium-sized firms. In particular, it was found to actual situation that selling transactions are being concentrated in the manufacturing firms of Yeongnam where large firms have located. Structural adjustment of the large firms located in the Yeongnam is expected to strike a blow to the manufacturing firms related the shipbuilding and offshore plant industry in Jeollanam-do due to the recently crisis in the shipbuilding industry. Therefore, it is necessary to secure a diversity of networks for selling transactions, and to discover and promote that selling firms related the shipbuilding and offshore plant industry in Jeollanam-do, in order to cope with such a crisis.

• Journal of Convergence for Information Technology
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• v.12 no.3
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• pp.85-107
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• 2022

This study is to analyze the induced effect, network connectivity, and network visualization of the water transportation industry on the overall economy in relation to all industries. For this, various inducement coefficients of the water transportation industry are analyzed using industry linkage analysis and unit structure matrix, and network visualization analysis is performed using network connectivity and NetDraw using Ucinet 6 that utilizes unit structure matrix and inverse matrix function. As a result of the study, analysis results of input coefficient, production inducement coefficient, value-added inducement coefficient, and inter-industry chain effect were presented as various inducement coefficients in the water transportation industry. content was presented. Through this study, the current position and status of the water transportation industry and its relationship with all industries were confirmed, and the strategic relationship with which industries it should be presented was presented. In the future, it is necessary to further analyze the current status and trends of various induced effects, connectivity (centrality), and network visualization analysis using industry-related analysis published since the 2000s.