• Journal of Korea Technology Innovation Society
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• v.11 no.3
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• pp.352-375
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• 2008

Recently policy coordination and integration have emerged as core challenges as complexity and uncertainty of policy. Especially as innovation and environment policy is expanding and its position is being further elevated within policy hierarchy, policy integration has emerged as core governance challenges for nation states. OECD countries emphasized the need of coordination and integration of policy by introducing concepts such as 'Environmental Policy Integration', 'the Third generation innovation policy', 'integrated innovation policy'. This study analysed the background, concepts, objects, mechanisms, and major issues of integrated innovation policy and various attempts for integrate innovation policy by policy level and cycle. Developing integrated innovation policies has become increasingly important for the EU and OECD countries in recent years. OECD countries including Finland have developed broader policy agendas for balancing policy objectives and aims of other policy sectors and horizontal relationships with other policy sectors. Policy integration helps to reorient policies where related policies are in conflict and to ensure coherence across different policy areas. Policy integration emphasizes long-term policy adjustment and adaptation based on social agreement and common vision.

• Cartoon and Animation Studies
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• s.39
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• pp.413-450
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• 2015

Although cartoons have been recognized for their great potential and value, they have failed to bloom in Korea. This is because wrong perception and irregular distribution of cartoons have been repeated for the last several years. Presently, however, cartoons are escaping from chronic problems they have had for long and welcoming splendid chances now. From the mid- and late-1990's, there have been large-scale events having cartoons as their theme, and social recognition on cartoons is becoming more and more positive. Their contents are diversified, readers are increased, and they are escaping from stereotypes through harmony with other media. Lately, either large or small exhibitions for cartoons are being planned, and Korean cartoons are going overseas and producing exhibitions there. Particularly, visitors' appreciative eye is getting keener, and they begin to see them not as a genre underestimated as low culture like in the past but as a kind of art on which independent research is being actively conducted. One of the biggest factors that have allowed cartoons to be positioned as visual art is the form of exhibitions that combine them with other genres artistically. Especially the cartoon exhibitions being held these days are aggressively introducing various elements of the cartoon genre through the medium of exhibitions not just as a mere tool of seeing to help understand cartoon writers or works. The genre of cartoons is now regarded as an active subject that can reflect its own unique essence in this rapidly changing cultural environment and extend the range of it itself. The latest cartoon exhibitions are characterized by trans-genre and complex aspects in terms of their direction or organization according to the contents, space, or theme. This trend of cartoon exhibitions implies that they are subdividing, analyzing, and planning various factors not in a horizontal way that was centered around image as in the past. It means that cartoon exhibitions are evolving as a form of mobilizing, combining, and reproducing various methods. Although a number of cartoon exhibitions are being held with a variety of themes, there is still lack of research on cartoon exhibitions concerning their forms and contents. Therefore, this researcher sees cartoon exhibitions as a factor that allows cartoons to escape from negative recognition and examines various cartoon exhibitions, from Seoul International Cartoon Animation Festival to the ones that are recently held, to figure out the meaning of Korean cartoon exhibitions. Furthermore, this researcher will find out the factors of planning and popularity in international exhibitions or personal cartoon exhibitions being presently held and figure out new directions and potentials for Korean cartoon exhibitions based on that. To meet the needs of visitors whose expectations have become even higher, it is needed to try not just previous methods but experimental and original planning as well constantly. To realize that, it is necessary to keep providing a field of opportunity where cartoon works, cartoon writers, and visitors can communicate as in an exhibition. It is expected that this study will trigger research on cartoon exhibitions to be performed multilaterally and produce new discourse on cartoon exhibitions afterwards.

• Korean Journal of Comparative Education
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• v.27 no.4
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• pp.187-209
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• 2017

The purpose of this study was to highlight the necessity of a conceptual reestablishment of world university evaluations. The hitherto most well-known and validated world university evaluation systems such as Times Higher Education (THE), Quacquarelli Symonds (QS) or Academic Ranking of World Universities (ARWU) primarily assess big universities with quantitative evaluation indicators and performance results in the rankings. Those Systems have instigated a kind of elitism in higher education and neglect numerous small or local institutions of higher education, instead of providing stakeholders with comprehensive information about the real possibilities of tertiary education so that they can choose an institution that is individually tailored to their needs. Also, the management boards of universities and policymakers in higher education have partly been manipulated by and partly taken advantage of the elitist ranking systems with an economic emphasis, as indicated by research-centered evaluations and industry-university cooperation. To supplement such educational defects and to redress the lack of world university evaluation systems, a new system called 'U-Multirank' has been implemented with the financial support of the European Commission since 2012. U-Multirank was designed and is enforced by an international team of project experts led by CHE(Centre for Higher Education/Germany), CHEPS(Center for Higher Education Policy Studies/Netherlands) and CWTS(Centre for Science and Technology Studies at Leiden University/Netherlands). The significant features of U-Multirank, compared with e.g., THE and ARWU, are its qualitative, multidimensional, user-oriented and individualized assessment methods. Above all, its website and its assessment results, based on a mobile operating system and designed simply for international users, present a self-organized and evolutionary model of world university evaluation systems in the digital and global era. To estimate the universal validity of the redefinition of the world university evaluation system using U-Multirank, an epistemological approach will be used that relies on Edgar Morin's Complexity Theory and Karl Popper's Philosophy of Science.

• Journal of Intelligence and Information Systems
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• v.20 no.4
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• pp.89-105
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• 2014

After emergence of Internet, social media with highly interactive Web 2.0 applications has provided very user friendly means for consumers and companies to communicate with each other. Users have routinely published contents involving their opinions and interests in social media such as blogs, forums, chatting rooms, and discussion boards, and the contents are released real-time in the Internet. For that reason, many researchers and marketers regard social media contents as the source of information for business analytics to develop business insights, and many studies have reported results on mining business intelligence from Social media content. In particular, opinion mining and sentiment analysis, as a technique to extract, classify, understand, and assess the opinions implicit in text contents, are frequently applied into social media content analysis because it emphasizes determining sentiment polarity and extracting authors' opinions. A number of frameworks, methods, techniques and tools have been presented by these researchers. However, we have found some weaknesses from their methods which are often technically complicated and are not sufficiently user-friendly for helping business decisions and planning. In this study, we attempted to formulate a more comprehensive and practical approach to conduct opinion mining with visual deliverables. First, we described the entire cycle of practical opinion mining using Social media content from the initial data gathering stage to the final presentation session. Our proposed approach to opinion mining consists of four phases: collecting, qualifying, analyzing, and visualizing. In the first phase, analysts have to choose target social media. Each target media requires different ways for analysts to gain access. There are open-API, searching tools, DB2DB interface, purchasing contents, and so son. Second phase is pre-processing to generate useful materials for meaningful analysis. If we do not remove garbage data, results of social media analysis will not provide meaningful and useful business insights. To clean social media data, natural language processing techniques should be applied. The next step is the opinion mining phase where the cleansed social media content set is to be analyzed. The qualified data set includes not only user-generated contents but also content identification information such as creation date, author name, user id, content id, hit counts, review or reply, favorite, etc. Depending on the purpose of the analysis, researchers or data analysts can select a suitable mining tool. Topic extraction and buzz analysis are usually related to market trends analysis, while sentiment analysis is utilized to conduct reputation analysis. There are also various applications, such as stock prediction, product recommendation, sales forecasting, and so on. The last phase is visualization and presentation of analysis results. The major focus and purpose of this phase are to explain results of analysis and help users to comprehend its meaning. Therefore, to the extent possible, deliverables from this phase should be made simple, clear and easy to understand, rather than complex and flashy. To illustrate our approach, we conducted a case study on a leading Korean instant noodle company. We targeted the leading company, NS Food, with 66.5% of market share; the firm has kept No. 1 position in the Korean "Ramen" business for several decades. We collected a total of 11,869 pieces of contents including blogs, forum contents and news articles. After collecting social media content data, we generated instant noodle business specific language resources for data manipulation and analysis using natural language processing. In addition, we tried to classify contents in more detail categories such as marketing features, environment, reputation, etc. In those phase, we used free ware software programs such as TM, KoNLP, ggplot2 and plyr packages in R project. As the result, we presented several useful visualization outputs like domain specific lexicons, volume and sentiment graphs, topic word cloud, heat maps, valence tree map, and other visualized images to provide vivid, full-colored examples using open library software packages of the R project. Business actors can quickly detect areas by a swift glance that are weak, strong, positive, negative, quiet or loud. Heat map is able to explain movement of sentiment or volume in categories and time matrix which shows density of color on time periods. Valence tree map, one of the most comprehensive and holistic visualization models, should be very helpful for analysts and decision makers to quickly understand the "big picture" business situation with a hierarchical structure since tree-map can present buzz volume and sentiment with a visualized result in a certain period. This case study offers real-world business insights from market sensing which would demonstrate to practical-minded business users how they can use these types of results for timely decision making in response to on-going changes in the market. We believe our approach can provide practical and reliable guide to opinion mining with visualized results that are immediately useful, not just in food industry but in other industries as well.