• Title/Summary/Keyword: 기업데이터 분석

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Consumer's Negative Brand Rumor Acceptance and Rumor Diffusion (소비자의 부정적 브랜드 루머의 수용과 확산)

  • Lee, Won-jun;Lee, Han-Suk
    • Asia Marketing Journal
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    • v.14 no.2
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    • pp.65-96
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    • 2012
  • Brand has received much attention from considerable marketing research. When consumers consume product or services, they are exposed to a lot of brand related stimuli. These contain brand personality, brand experience, brand identity, brand communications and so on. A special kind of new crisis occasionally confronting companies' brand management today is the brand related rumor. An important influence on consumers' purchase decision making is the word-of-mouth spread by other consumers and most decisions are influenced by other's recommendations. In light of this influence, firms have reasonable reason to study and understand consumer-to-consumer communication such as brand rumor. The importance of brand rumor to marketers is increasing as the number of internet user and SNS(social network service) site grows. Due to the development of internet technology, people can spread rumors without the limitation of time, space and place. However relatively few studies have been published in marketing journals and little is known about brand rumors in the marketplace. The study of rumor has a long history in all major social science. But very few studies have dealt with the antecedents and consequences of any kind of brand rumor. Rumor has been generally described as a story or statement in general circulation without proper confirmation or certainty as to fact. And it also can be defined as an unconfirmed proposition, passed along from people to people. Rosnow(1991) claimed that rumors were transmitted because people needed to explain ambiguous and uncertain events and talking about them reduced associated anxiety. Especially negative rumors are believed to have the potential to devastate a company's reputation and relations with customers. From the perspective of marketer, negative rumors are considered harmful and extremely difficult to control in general. It is becoming a threat to a company's sustainability and sometimes leads to negative brand image and loss of customers. Thus there is a growing concern that these negative rumors can damage brands' reputations and lead them to financial disaster too. In this study we aimed to distinguish antecedents of brand rumor transmission and investigate the effects of brand rumor characteristics on rumor spread intention. We also found key components in personal acceptance of brand rumor. In contextualist perspective, we tried to unify the traditional psychological and sociological views. In this unified research approach we defined brand rumor's characteristics based on five major variables that had been found to influence the process of rumor spread intention. The five factors of usefulness, source credibility, message credibility, worry, and vividness, encompass multi level elements of brand rumor. We also selected product involvement as a control variable. To perform the empirical research, imaginary Korean 'Kimch' brand and related contamination rumor was created and proposed. Questionnaires were collected from 178 Korean samples. Data were collected from college students who have been experienced the focal product. College students were regarded as good subjects because they have a tendency to express their opinions in detail. PLS(partial least square) method was adopted to analyze the relations between variables in the equation model. The most widely adopted causal modeling method is LISREL. However it is poorly suited to deal with relatively small data samples and can yield not proper solutions in some cases. PLS has been developed to avoid some of these limitations and provide more reliable results. To test the reliability using SPSS 16 s/w, Cronbach alpha was examined and all the values were appropriate showing alpha values between .802 and .953. Subsequently, confirmatory factor analysis was conducted successfully. And structural equation modeling has been used to analyze the research model using smartPLS(ver. 2.0) s/w. Overall, R2 of adoption of rumor is .476 and R2 of intention of rumor transmission is .218. The overall model showed a satisfactory fit. The empirical results can be summarized as follows. According to the results, the variables of brand rumor characteristic such as source credibility, message credibility, worry, and vividness affect argument strength of rumor. And argument strength of rumor also affects rumor intention. On the other hand, the relationship between perceived usefulness and argument strength of rumor is not significant. The moderating effect of product involvement on the relations between argument strength of rumor and rumor W.O.M intention is not supported neither. Consequently this study suggests some managerial and academic implications. We consider some implications for corporate crisis management planning, PR and brand management. This results show marketers that rumor is a critical factor for managing strong brand assets. Also for researchers, brand rumor should become an important thesis of their interests to understand the relationship between consumer and brand. Recently many brand managers and marketers have focused on the short-term view. They just focused on strengthen the positive brand image. According to this study we suggested that effective brand management requires managing negative brand rumors with a long-term view of marketing decisions.

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Exploring Twitter Follower-Networks of Startup Companies Employing Social Network Analysis and Cluster Analysis (소셜네트워크 분석과 클러스터 분석 방법을 활용한 스타트업 회사의 트위터 팔로워 네트워크에 대한 탐색적 연구)

  • Yu, Seunghee
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.14 no.4
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    • pp.199-209
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    • 2019
  • The importance of business strategy for successful social media engagement has quickly increased as more businesses engage in social media. The importance is even greater for startup companies because startup companies are genuinely new to business, and they need to increase their presence in the market, and quickly access future customers. The objective of this paper lies in exploring key indicators of social media engagements by selected startup companies. The key indicators include two aspects of social media usages by the companies: i) overall social media activities, and ii) properties of network structure of the information flow platform provided by social media service. To better assess and evaluate the key indicators of social media usages by startup companies, the indicators will be compared with those of selected large established companies. Twitter is selected as a social media service for the analysis of this paper, and using Twitter REST API, data regarding the key indicators of overall Twitter activities and the Twitter follower-network of each company in the sample are collected. Then, the data are analyzed using social network analysis and hierarchical clustering analysis to examine the characteristics of the follower-network structures and to compare the characteristics between startup companies and established companies. The results show that most indicators are significantly different across startup companies and established companies. One key interesting finding is that the startup companies have proportionally more influencers in their follower-networks than the established companies have. Another interesting finding is that the follower-networks of startup companies in the sample have higher modularity and higher transitivity, suggesting that the startup companies tend to have a proportionally larger number of communities of users in their follower-networks, and the users in the networks are more tightly connected and cohesive internally. The key business implication for the future social media engagement efforts by startup companies in general is that startup companies may need to focus on getting more attention from influencers and promoting more cohesive communities in their follower-networks to appreciate the potential benefits of social media in the early stage of business of startup companies.

Case Analysis of the Promotion Methodologies in the Smart Exhibition Environment (스마트 전시 환경에서 프로모션 적용 사례 및 분석)

  • Moon, Hyun Sil;Kim, Nam Hee;Kim, Jae Kyeong
    • Journal of Intelligence and Information Systems
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    • v.18 no.3
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    • pp.171-183
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    • 2012
  • In the development of technologies, the exhibition industry has received much attention from governments and companies as an important way of marketing activities. Also, the exhibitors have considered the exhibition as new channels of marketing activities. However, the growing size of exhibitions for net square feet and the number of visitors naturally creates the competitive environment for them. Therefore, to make use of the effective marketing tools in these environments, they have planned and implemented many promotion technics. Especially, through smart environment which makes them provide real-time information for visitors, they can implement various kinds of promotion. However, promotions ignoring visitors' various needs and preferences can lose the original purposes and functions of them. That is, as indiscriminate promotions make visitors feel like spam, they can't achieve their purposes. Therefore, they need an approach using STP strategy which segments visitors through right evidences (Segmentation), selects the target visitors (Targeting), and give proper services to them (Positioning). For using STP Strategy in the smart exhibition environment, we consider these characteristics of it. First, an exhibition is defined as market events of a specific duration, which are held at intervals. According to this, exhibitors who plan some promotions should different events and promotions in each exhibition. Therefore, when they adopt traditional STP strategies, a system can provide services using insufficient information and of existing visitors, and should guarantee the performance of it. Second, to segment automatically, cluster analysis which is generally used as data mining technology can be adopted. In the smart exhibition environment, information of visitors can be acquired in real-time. At the same time, services using this information should be also provided in real-time. However, many clustering algorithms have scalability problem which they hardly work on a large database and require for domain knowledge to determine input parameters. Therefore, through selecting a suitable methodology and fitting, it should provide real-time services. Finally, it is needed to make use of data in the smart exhibition environment. As there are useful data such as booth visit records and participation records for events, the STP strategy for the smart exhibition is based on not only demographical segmentation but also behavioral segmentation. Therefore, in this study, we analyze a case of the promotion methodology which exhibitors can provide a differentiated service to segmented visitors in the smart exhibition environment. First, considering characteristics of the smart exhibition environment, we draw evidences of segmentation and fit the clustering methodology for providing real-time services. There are many studies for classify visitors, but we adopt a segmentation methodology based on visitors' behavioral traits. Through the direct observation, Veron and Levasseur classify visitors into four groups to liken visitors' traits to animals (Butterfly, fish, grasshopper, and ant). Especially, because variables of their classification like the number of visits and the average time of a visit can estimate in the smart exhibition environment, it can provide theoretical and practical background for our system. Next, we construct a pilot system which automatically selects suitable visitors along the objectives of promotions and instantly provide promotion messages to them. That is, based on the segmentation of our methodology, our system automatically selects suitable visitors along the characteristics of promotions. We adopt this system to real exhibition environment, and analyze data from results of adaptation. As a result, as we classify visitors into four types through their behavioral pattern in the exhibition, we provide some insights for researchers who build the smart exhibition environment and can gain promotion strategies fitting each cluster. First, visitors of ANT type show high response rate for promotion messages except experience promotion. So they are fascinated by actual profits in exhibition area, and dislike promotions requiring a long time. Contrastively, visitors of GRASSHOPPER type show high response rate only for experience promotion. Second, visitors of FISH type appear favors to coupon and contents promotions. That is, although they don't look in detail, they prefer to obtain further information such as brochure. Especially, exhibitors that want to give much information for limited time should give attention to visitors of this type. Consequently, these promotion strategies are expected to give exhibitors some insights when they plan and organize their activities, and grow the performance of them.

The Effects of Individual Characteristics and Entrepreneurship on Entrepreneurial Intentions: Moderating effect of Hofstede's Cultures Dimensions (개인 특성 및 기업가정신이 창업의도에 미치는 영향: 홉스테드 문화특성의 조절 효과를 중심으로)

  • Oh, Hae Dong;Choi, Jiyeon;Noh, Jeon Pyo
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.11 no.2
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    • pp.35-48
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    • 2016
  • Individual characteristics and entrepreneurship are important factors to determine entrepreneurial intentions. Despite this, little attention has been given to external factors, which effects to venture start-up decision. This study examines the relationship between individual characteristics and entrepreneurship by moderating effect of Hofstede's cultures dimensions theory. For this, 244 copies of the questionnaire were empirically analyzed. According to the results of analysis, internal locus of control, self-efficacy were found to have positive effects on autonomy, innovativeness, pro-activeness. In addition, uncertainty avoidance of Hofstede's cultures dimensions theory were found the moderating effects on entrepreneurship and entrepreneurial intentions. Therefore, this study suggests theoretical and practical implications, as below, according to the results. Firstly, pro-activeness take a important part on venture start-up. Thus, venture start-up institution and venture managers need to develop "venture education curriculum" that fostering the pro-activeness mind of entrepreneur. Secondly, In order to anticipate entrepreneurial intentions more precisely, analyzing the interaction between environmental variables and individual variables is desirable. Lastly, in the future study of entrepreneurship, the comprehensive analysis of correlation between the factors that including three factors of entrepreneurship is need to be conducted and more effective way of readdressing the entrepreneurship is necessary.

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Effect of Leadership Style of CEO on Self-leadership and Organizational Effectiveness (상사의 리더십 유형이 셀프리더십과 조직유효성에 미치는 영향)

  • Kim, Joon-Ho;Heo, Jeong-Ho;Jang, Hyuk-Soo;Park, Bum-Ki;Shin, Hyo-Jin
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.12
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    • pp.8424-8436
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    • 2015
  • This research recognizes the importance of the study on leadership for the management of enterprises. Among the financial institutes, the employees at the banks were targeted in this study to empirically analyze the effects of superiors' leadership (transformational leadership, transactional leadership, and servant leadership) on the subordinates' self-leadership and organizational effectiveness (organizational commitment and organizational citizenship behavior). In particular, this study analyzed the influencing relationship between the superior's leadership style and the subordinates' self-leadership, to identify the leadership style most suitable for enhancing the subordinates' self-leadership and to further determine if it can lead to the enhancement of organizational commitment and organizational citizenship behavior. The employees at approximately 50 branches of domestic large corporate banks located in Seoul and Gyeonggi area were targeted, and the survey was conducted in the form of self-response questionnaire. The statistical analysis was conducted on a total of 338 valid data by using structural equation modeling analysis. The result of the analysis was as follows. The transformational and servant leadership of the superior had a positive effect on the self-leadership of the subordinate, and transactional leadership did not show a significant effect. Furthermore, self-leadership was shown to have a positive effect on organizational commitment and organizational citizenship behavior.

Study on the Design and Usability factor analysis of Web Multimedia Contents (웹 멀티미디어 컨텐츠의 디자인과 유용성분석에 대한 연구)

  • Koh, Eun-Young;Shin, Soon-Ho
    • Archives of design research
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    • v.17 no.4
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    • pp.69-78
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    • 2004
  • This thesis is designed to investigate the relationship of Web Multimedia design. Web sites are needed to approach the lot of ways that increase the user intuitive lay over communicating information nowadays. In the digital era of today, multimedia is composed of such various elements as text, image, sound, animation, video. The method of the thesis is a research questions as this follow. First, the structuring element of the web site type was classified by a form and the contents in the web site. These types in this classified web site are HTML, flash and mixed type. Second, to study this thesis, we made up pose a questionnaire to students in the university as th method of random sampling. The goal of this survey is that user is how to understand about the web multimedia design. Results of analysis may be summarized as follows: 1) It was the image design in the NIKE web site that there would be evaluated the best design effected by flash, and it is finding that the NIDE web site will need more supporting Information, Interactive design through this studies. 2) It was information that there would be evaluated good design effect by text and image in SAMSUNG web site. Based on HTML, SAMSUNG need supporting motion image design by this studies. In conclusion, this thesis suggests that the each web medias should be constructed by the different web design component, according to information, Interactive, image design of web site.

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Method for Spatial Sentiment Lexicon Construction using Korean Place Reviews (한국어 장소 리뷰를 이용한 공간 감성어 사전 구축 방법)

  • Lee, Young Min;Kwon, Pil;Yu, Ki Yun;Kim, Ji Young
    • Journal of Korean Society for Geospatial Information Science
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    • v.25 no.2
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    • pp.3-12
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    • 2017
  • Leaving positive or negative comments of places where he or she visits on location-based services is being common in daily life. The sentiment analysis of place reviews written by actual visitors can provide valuable information to potential consumers, as well as business owners. To conduct sentiment analysis of a place, a spatial sentiment lexicon that can be used as a criterion is required; yet, lexicon of spatial sentiment words has not been constructed. Therefore, this study suggested a method to construct a spatial sentiment lexicon by analyzing the place review data written by Korean internet users. Among several location categories, theme parks were chosen for this study. For this purpose, natural language processing technique and statistical techniques are used. Spatial sentiment words included the lexicon have information about sentiment polarity and probability score. The spatial sentiment lexicon constructed in this study consists of 3 tables(SSLex_SS, SSLex_single, SSLex_combi) that include 219 spatial sentiment words. Throughout this study, the sentiment analysis has conducted based on the texts written about the theme parks created on Twitter. As the accuracy of the sentiment classification was calculated as 0.714, the validity of the lexicon was verified.

Demand Analysis of the Home Ubiquitous Network Services Using Conjoint Method (컨조인트 분석방법을 이용한 홈 유비퀴터스 네트워크 서비스의 수요 분석)

  • 이종수;안지운;이정동;신혜영
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2003.11a
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    • pp.101-114
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    • 2003
  • 홈 유비퀴터스 네트워크란 PC, 휴대 전화, 디지털TV, 냉장고, 에어컨, 개인 휴대 정보 단말기(PDA), 게임기 등 가정 내의 정보기기들 사이에 통합된 네트워크를 형성해 데이터를 공유할 수 있는 환경을 구성한 것이다. 홈 네트워크 서비스를 가능케 한 요인은 기술적 측면에서 가전기기의 디지털화 및 초고속망의 보급, 수요측면에서 가전기기를 통한 다양한 서비스를 이용하고자 하는 소비자의 요구, 공급측면으로 포화된 정보통신기기 시장에서 새로운 수요창출이 필요한 환경 등으로 요약될 수 있다. 이와 같이 현재 정보통신산업은 지금까지 구축된 정보통신 인프라를 바탕으로 새롭게 등장한 홈 네트워크 서비스 분야에 주목하고 있다. 홈 네트워크는 정보통신기술을 가전기기에 융합시킴으로써 새로운 서비스를 창출한다는 점에서 정보통신산업은 물론, 기존의 백색가전 산업까지 포괄하여 관련 산업의 전후방 효과가 매우 크다. 본 연구에서는 홈 네트워크 서비스에 관련한 핵심 속성을 분석하고, 핵심 속성에 대한 소비자의 선호를 분석하는 실증연구를 수행하였다. 현재 홈 네트워크 시장이 본격적으로 형성되지 않아 현시선호(revealed preference) 자료의 구득이 불가능하므로, 소비자에게 향후 제공될 수 있는 서비스 특성을 지닌 가상적인 제품 조합을 제시하고, 이에 대해 소비자가 실제 시장에서와 같은 구매행위를 가정하도록 한 후, 각 제품 조합에 대한 선호 순위를 매기게 함으로써 소비자의 진술선호(stated preference)를 측정하는 컨조인트(conjoint) 방법론을 사용하였다. 이러한 분석을 통해서 홈 네트워크 서비스의 각 속성에 대한 소비자의 선호구조를 파악하고 지불의 사액(Willingness To Pay, WTP)을 분석하도록 한다. 본 연구의 결과를 이용하여 향후 전개될 홈 네트워크 서비스 및 관련시장의 발전 방향을 전망해 보고 이에 따른 기업이나 정부차원의 대응전략을 파악하고자 한다.육구에서는 큰 변화를 나타내고 있지 않았다(p<0.05). 운동과 비운동시킨 참돔의 지질 함량의 변화는 운동시킨 참돔은 운동으로 인한 에너지 소비로 인하여 함량이 유의적으로 감소했으며(r=-0.35), 비운동사육구에서는 절식으로 인하여 지질함량이 감소하였다(r=-0.38). 파괴강도와 가장 밀접한 영향을 가지는 콜라겐은 운동과 비운동 모두 사육기간동안 큰 변화는 보이지 않았다. 초기의 파괴강도값은 1.45±0.02kg(운동사육구), 1.36±0.18kg(비운동사육구)이였으며 사육기간동안 운동사육구는 파괴강도값이 증가한 반면, 비운동수조에서는 참돔의 파괴강도는 사육기간동안 큰 유의차가 없었다. 각 성분간의 상관도를 살펴보면, 수분함량과 파괴강도는 상관성을 가졌으며, 지질함량과 파괴강도도 같은 경향은 나타내었다. 운동기간동안의 파괴강도와 콜라겐 사이에는 상관성의 거의 없었다. 이는 운동기간에 따른 파괴강도의 증가가 콜라겐의 함량의 증가보다는 지질함량의 감소와 수분함량의 증가와 같은 성분과의 상관성이 크다고 판단된다. 다음으로는, 운동횟수에 의한 영향으로써 운동시간을 1일 6시간으로 설정하여, 운동횟수를 결정하기 위하여 오전, 오후에 각 3시간씩 운동시키는 방법과 오전부터 6시간동안 운동시키는 두 방법을 이용하여 품질을 비교하였다. 각 조건에 따라 운동시킨 참돔의 수분함량을 나타낸 것으로, 2회(오전 3시간, 오후 3시간)에 나누어서 운동시키기 위한 육의 수분함량은 73.37±2.02%를 나타냈으며, 1회(6시간 운동)운동시키기 위한 육은 71.74±1.66%을 나타내었다. 각각의 운동조건에서 양식된 참돔은 사육초기에는 큰 변화가 없었으나, 사육 5일 이후에는 수분함량이 증가하여 15일에는 76.40±0.14, 75.62±0.98%의 수분함량을 2회와 1회 운동시킨 참돔의 육에서 각각 나타났다. 운동횟수에 따른 지질함량은 2회 운동시킨 참돔은 5.83±2.08, 1회 운동시킨 참돔은 6.72

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An Analysis of Customer Preferences of Recommendation Techniques and Influencing Factors: A Comparative Study of Electronic Goods and Apparel Products (추천기법별 고객 선호도 및 영향요인에 대한 분석: 전자제품과 의류군에 대한 비교연구)

  • Park, Yoon-Joo
    • Information Systems Review
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    • v.18 no.2
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    • pp.59-77
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    • 2016
  • Although various recommendation techniques have been applied to the e-commerce market, few studies compare the intent to use these techniques from the customer's perspective. In this paper, we conduct a comparative analysis of customers' intention to use five recommendation techniques widely adapted by online shopping malls and focus on the differences in purchasing electronic goods and apparel products. The recommendation techniques are as follows: best-seller recommendation, merchandiser recommendation, content-based recommendation, collaborative filtering recommendation, and social recommendation. Additionally, we examine which factors influence customer intent to use the recommendation services. Data were collected through a survey administered to 220 e-commerce users with prior experience with recommendation services. Collected data were examined using analysis of variance and regression analysis. Results indicate statistically significant differences in customers' intention to use recommendation services according to the recommendation technique. In particular, the best-seller recommendation technique is preferred when purchasing electronic goods, whereas the content-based recommendation technique is preferred for apparel purchases. Factors such as personal characteristics and personality, purchasing tendency, as well as perception of the product or recommendation service affect a customer's intention to use a recommendation service. However, the influence of these factors varies depending on the recommendation technique. This study provides guidelines for companies to adopt appropriate recommendation techniques according to product categories and personal characteristics of customers.

Integration Application of Node-Link Data Using Open LR Method (Open LR 기법을 이용한 노드-링크 데이터의 통합활용 방안에 관한 연구)

  • Kwon, Tae Ho;Choi, Yun-Soo
    • Journal of the Korean Institute of Gas
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    • v.25 no.5
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    • pp.78-87
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    • 2021
  • This paper analyzes the range and attributes of the traffic information service between domestic public institutions and private companies, and suggests the possibility of joint application of node-link information for each company and the possibility of joint use of private traffic information. For this purpose, the present condition and attributes of domestic and foreign traffic information node-links (link length, node ID number, U-turn information, lane information, left turn information, right turn information, etc.) were analyzed. The analysis targets, the node-link of the national standard node and the two companies were analyzed. The area of the experiment was selected in Jongno-gu, Seoul, where standard-link information is complex, traffic volume is high, and various standard-links exist. The experiment was conducted by comparing and analyzing the traffic information attributes of three types of node-links and performing node-links overlapping matching (utilizing encoding_decoding method), and the possibility of matching node-links and attributes of different specifications was analyzed using Open LR technique.