Journal of the Korean Society for information Management
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v.5
no.2
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pp.3-22
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1988
The purpose of this paper is to help understand of the, definitio~~ of, componativelibraianship and the methodology of comparative study in librariansliip. Comparative librarial~sl~ip may be defined as the systematic anallsis of library derelopmetit, practices, or problems as they occur under different circumstances (most usually in different count r ~ e s ) , considered in the c o ~ t t x t of tlle relevant historical, geographic, political, economic, social, cultural, and other determinant backgrourd factors found in the situations under study. Essentially it co~~stitutes an important approach to the search for cause and effect in library development, and tu tl~e understandillg of library problems. The mctl~odology of comparatiw study i n libranianship includes four steps; i)description, iilinterpret at ion, iii\ulcorner juxtaposition, iv! comparison.
Internet news consumption is rapidly growing in Korea, and majority of that is being done through Naver, Korea's primary search engine. Naver is also the go-to search engine for smartphone use. This study analyzed 824 most popular news accessed via mobile gears; the news items were selected from Naver's 'Daily Top 10 Stories,' dating from March 2016 to December 2016. The results indicate that entertainment news were the most viewed, while political and social issue news were the most liked and commented by mobile users. With regard to news value, 'prominence' and 'impact' were the two most important factors that influenced a user's news selection process in a mobile environment. The degree of a news' 'prominence' was the most important factor that determined the number of views, while 'impact' was critical to determining "the most commented-upon" and "the most liked" news. The results also indicate that mobile news consumers prefer more dramatic storylines and events that incite public anger or grief, threaten the safety of citizens, or evoke emotional sympathy rather than 'hard news' about such subjects as politics and economics.
As social data become into the spotlight, mainstream web search engines provide data indicate how many people searched specific keyword: Web Search Traffic data. Web search traffic information is collection of each crowd that search for specific keyword. In a various area, web search traffic can be used as one of useful variables that represent the attention of common users on specific interests. A lot of studies uses web search traffic data to nowcast or forecast social phenomenon such as epidemic prediction, consumer pattern analysis, product life cycle, financial invest modeling and so on. Also web search traffic data have begun to be applied to predict tourist inbound. Proper demand prediction is needed because tourism is high value-added industry as increasing employment and foreign exchange. Among those tourists, especially Chinese tourists: Youke is continuously growing nowadays, Youke has been largest tourist inbound of Korea tourism for many years and tourism profits per one Youke as well. It is important that research into proper demand prediction approaches of Youke in both public and private sector. Accurate tourism demands prediction is important to efficient decision making in a limited resource. This study suggests improved model that reflects latest issue of society by presented the attention from group of individual. Trip abroad is generally high-involvement activity so that potential tourists likely deep into searching for information about their own trip. Web search traffic data presents tourists' attention in the process of preparation their journey instantaneous and dynamic way. So that this study attempted select key words that potential Chinese tourists likely searched out internet. Baidu-Chinese biggest web search engine that share over 80%- provides users with accessing to web search traffic data. Qualitative interview with potential tourists helps us to understand the information search behavior before a trip and identify the keywords for this study. Selected key words of web search traffic are categorized by how much directly related to "Korean Tourism" in a three levels. Classifying categories helps to find out which keyword can explain Youke inbound demands from close one to far one as distance of category. Web search traffic data of each key words gathered by web crawler developed to crawling web search data onto Baidu Index. Using automatically gathered variable data, linear model is designed by multiple regression analysis for suitable for operational application of decision and policy making because of easiness to explanation about variables' effective relationship. After regression linear models have composed, comparing with model composed traditional variables and model additional input web search traffic data variables to traditional model has conducted by significance and R squared. after comparing performance of models, final model is composed. Final regression model has improved explanation and advantage of real-time immediacy and convenience than traditional model. Furthermore, this study demonstrates system intuitively visualized to general use -Youke Mining solution has several functions of tourist decision making including embed final regression model. Youke Mining solution has algorithm based on data science and well-designed simple interface. In the end this research suggests three significant meanings on theoretical, practical and political aspects. Theoretically, Youke Mining system and the model in this research are the first step on the Youke inbound prediction using interactive and instant variable: web search traffic information represents tourists' attention while prepare their trip. Baidu web search traffic data has more than 80% of web search engine market. Practically, Baidu data could represent attention of the potential tourists who prepare their own tour as real-time. Finally, in political way, designed Chinese tourist demands prediction model based on web search traffic can be used to tourism decision making for efficient managing of resource and optimizing opportunity for successful policy.
Journal of the Korean Operations Research and Management Science Society
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v.29
no.1
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pp.17-30
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2004
There seems to be a renewed interest in Interorganizational relationship to search for strategic information partnerships. It is particularly noteworthy that no study has yet reported conflgurations at the level of interorganizational relationships nor compared such configurations across different types of ISO(interorganizational system). This paper seeks to uncover dominant configurations of interorganizational relationships across the various types of ISO. We Integrate relevant theoretical concepts from transaction cost economics, organization theory and political economy to develop a conceptual model of interorganizational relationships. We empirically uncover a set of hypothesis toward the patterns of interorganizetional relationships. Moreover the implications for further research pertaining to the logic and development of configurations were proposed.
Journal of the Korean Society for information Management
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v.28
no.2
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pp.79-96
/
2011
Despite the widespread use, critics claim that citation analysis has serious limitations in evaluating the research performance of scholars. First, conventional citation analysis methods yield one-dimensional and sometimes misleading evaluation as a result of not taking into account differences in citation quality, not filtering out citation noise such as self-citations, and not considering non-numeric aspects of citations such as language, culture, and time. Second, the citation database coverage of today is disjoint and incomplete, which can result in conflicting quality assessment outcomes across different data sources. This paper discuss the findings from a citation analysis study that measured the impact of scholarly publications based on the data mined from Web of Science, Scopus, and Google Scholar, and briefly describes a work-in-progress prototype system called CiteSearch, which is designed to overcome the weaknesses of existing citation analysis methods with a robust citation-based quality assessment approach.
Proceedings of the Korea Society of Costume Conference
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2003.10a
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pp.77-77
/
2003
If we look closely to the power shift of the powerful countries historically. during the 16th century Spain's power came from gold, colony trade, the mercenary force, close relation with the thrown, 17th century Netherlands owes their power to trade, capital market, the marines, 18th century France owes it to population, agriculture, public administration, and the army. Also, England had their industry, political unity, finance and trust, the marines, liberalistic principles, a geographical merit of being an island which can be defended well and the 20th century America has their cosmopolitan culture, supernational communication, the capacity of the economy, science technology, military strength, alliances, liberalism international formation. But in the 21st century culture and art will prevail over the information age where technology and knowledge was the key, and it is predicted that this will be the source of power for a strong country. Rolfe Yesson, the head of The Copenhagen Research Center for future studies said, "Information age has ended and in the future Dream Society will arrive which focuses on making distinctions by delivering dreams and emotions to consumers". As cyberspace gradually substitutes reality, cyberspace has become more than an information search engine and has become a place where people fulfill their desires and exchange culture. And as a medium for diffusing culture, the importance of the digital dress-up avatar is predicted to increase gradually.gradually.
The Journal of Korean Society for School & Community Health Education
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v.11
no.1
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pp.67-78
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2010
Background & Objectives: Current trend is that funding agencies require investigators to share their data with others. However, there is limited guidance how to access and utilize the shared data. We sought to determine what common data sharing practices in U.S.A. are, what data-related to adolescent health are freely available, and how we deal with the large dataset adopting the complex study design. Methods: The study included only research data-related to adolescent health which was collected in USA and unlimitedly accessible through the internet. Only the raw data, not aggregated, was considered for the study. Major keywords for web search were "adolescent", "children", "health", and "school". Results: Current approaches for public health data sharing lacked of common standards and varied largely due to the data's complex nature, large size, local expertise and internal procedures. Some common data sharing practices are unlimited access, formal screened access, restricted access, and informal exclusive access. The Inter-University Consortium for Political and Social Research and the Center for Disease Control and Prevention were the best data depository. "Data on the net" was search engine for the website providing data freely available. Six datasets related to adolescent health freely available were identified. The importance and methods of incorporating complex research design into analysis was discussed. Conclusion: There have been various attempts to standardize process for open access and open data using the information technology concept. However, it may not be easy for researchers to adapt themselves to this high technology. Therefore, guidance provided by this study may help researchers enhance the accessibility to and the utilization of the open source data.
According to the facility of effective search and user-friendly access to various spatial data by building GIS, the demand for application of information and social effect has been increased. To meet such domestic demands, it has become necessary to develop local, regional, and global SDI(Spatial Data Infrastructure) which can support discovery, access, and use of spatial information in the decision-making process. Many developed countries are implementing and managing GSDI in accordance with their state and purpose. There are two typical international cases; U.S. Geospatial One-Stop and European Geo-Portal. These systems are observed the international standards so they provide standardization and interoperability of GI. In domestic cases, however, each sector is managing separately geospatial data management systems. From this point of view, this paper proposed implementation approaches of GOS that can provide interchange of geospatial information between supplier and user. This paper focused on standardization, considered technical and political factors and analyzed two cases of GOS such as U.S. and Europe cases into our spatial information environments. It is possible to search and access geospatial data effectively by introducing GOS. In addition, it is possible to promote popularization of geospatial information and development of GIS industy.
Textile fashion industry is a core foundation industry, having the majority of companies with 10 or more workers, in Northern Gyeonggi Province. however the industry is mostly comprised of small unit-stream enterprises, orders are greatly reduced due to lately accelerated overseas expansion of medium/large-sized vendors and the growth-inhibiting vicious circle has being set in, as this situation causes the reduction of investment. For resolving the problems, this study proposes required political factors and concrete policy proposals by designing AHP research model(4 layers and 36 elements), based on grasp of the transitional aspect of industrial scale and business environment through analysis of various industrial statistics, preceding research such as related literature search and (industrial/academic/R&D/government) specialist opinion investigation, and then calculating relative importance and priority of each factor(element) within each layer. And for raising usefulness and availability of the research result by concretely suggesting the vision, strategies, core tasks and detailed projects in which the research model and deduced result are reflected.
Mobile service that geography, position by development of space Information Technology and technology of communications, space are various to us now becoming limelight as point contents and infra information that customers do demand based on radio superhigh speed authentication net on highly information society by offer infringement problem about individual's privacy or information by political and scientific interest be injured. Purpose of this study grasps use factor of LBS application Mobile service, and it is that analyze actual proof through questionnaire to grasp whether some relation is with value and action determination that is felt of LBS application Mobile service. Distributed all question of 190 copies but disk floret inclination did valid data 171 that clear question and omission remove a lot of questions by type of study among questionnaire of collected 182 wealths. Analyzed factor analysis and authoritativeness to search validity and confidence of questionnaire and used single regression analysis and multiple regression analysis for hypothetical verification. According to verification result, Mobile service that apply position base service usefulness and system quality, adaptedness of Mobile service that apply position base service by leading person affecting in use, acted for connection healthy and felt value is important factor immediately. Usability and social effect, felt expense, privacy did not appear by leading person that keep in mind in this study. Is been related with step that Mobile service that apply position base service is placed. That is, as present childhood, a person who have experience that use service to look for friend is few and usability fairly in last in wide application boundary and this very important person was removed finally in model. This study has sense in terms of study systematically about LBS application service use leading person that is getting into the spotlight worldwide among Mobile service that is injured newly.
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