• Journal of Digital Convergence
• /
• v.14 no.8
• /
• pp.151-161
• /
• 2016

ICT-convergence cluster is considered as critical policy means because it can create higher value-added products and services in the era of creative economy. Previous research has focused on comprehensive ICT-convergence cluster strategy based on Porter's diamond model. This paper adopted AIDA(Attention, Interest, Desire, Action) model and investigated a specific domain of government supporting policies related to non-R&D support. For two weeks, we gathered and analyzed 181 data from companies located in Chungbuk province. The results showed that support for technology, commercialization, and participation conditions positively leads to companies' interest in ICT-convergence cluster, which, in turn, makes positive impact on their intention to participate in it. It is significant that this paper verified AIDA model in the Government-to-Business(G2B) context. Future research will need to adapt AIDA model to national projects.

• Proceedings of the Korea Technology Innovation Society Conference
• /
• 2013.10a
• /
• pp.456-471
• /
• 2013

• Journal of Korea Technology Innovation Society
• /
• v.17 no.1
• /
• pp.1-24
• /
• 2014

The new Korean government sets its main policy direction as Creative Economy. The Creative Economy can be defined as a growth strategy that establishes new companies, enhances the competitiveness of established companies and creates new markets, industries and jobs in consequence of combining of creative imagination, science and technology and ICT. In this context, the concept of innovation cluster, which aims to foster technological innovations from an organic ecosystem perspective, can be a valid policy instrument for attaining Creative Economy. Innovation cluster can and must make a contribution to achieving the Creative Economy of Korea. In particular, the ICT Convergence Innovation Cluster will be a good strategy for this purpose. Based on this conceptual background, this paper analyzes a recently notable case of an ICT Convergence Cluster in Korea, Pangyo Technovalley (PTV). We argue that the Pangyo Technovalley is a representative cluster of converging ICT and science and technology. We identify the major factors for successful development of ICT cluster: regional government's flexible response to environmental change, careful pre-planning and balance between private and public involvement. In addition, we also found that additional factors, settlement condition for securing good workforce, agglomeration of various innovation actors for promoting convergence, and cluster network revitalization are also important for implementing the creative ICT convergence cluster.

• Journal of the Korea Convergence Society
• /
• v.8 no.7
• /
• pp.237-243
• /
• 2017

Recently, the Korean government is planning to create ICT-centered clusters that will lead the fourth industrial revolution in the Yangjae-Umyeun area. In order for a cluster to be successful, innovation environments such as support systems and institutions should be appropriately prepared. In this study, we present a hierarchical model of ICT SME support measures after comprehending the support measures for existing SMEs and the factors needed for clustering, and then deriving the priorities of support measures. The questionnaire was distributed to 9 ICT SMEs and R&D experts. A total of 6 copies were collected. The priority of the support measures in this study is expected to be utilized for the successful development of R&CD cluster and the allocation of the support budget.

• Journal of the Korea Convergence Society
• /
• v.8 no.7
• /
• pp.265-272
• /
• 2017

The Seoul Metropolitan Government and the Ministry of Science, ICT, and Future Planning(MSIP) are promoting the creation of "R & CD clusters" in the Yangje area as a base for future growth engines that will lead the fourth industry. The Yangje area has many large enterprise research institutes and ICT SMEs, and is located in the south part of Seoul and has geographical advantages such as traffic, education, and leisure life. As an initial research for the successful cluster of the Yangje area, quantitative analysis was carried out to identify the status of ICT SMEs in Yangje area using the Korean company information DB and contents of "Korea SMTp 2017 DVD ROM". Qualitative analysis conducted a questionnaire from December 8, 2016 to January 7, 2017 to investigate the R & D activities of ICT companies. Finally, implications for strengthening the R & D capacity of ICT firms in Yangjae area were derived.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.2
• /
• pp.370-379
• /
• 2018

The Korean government announced plans for the International Science Business Belt as a spatial area for promoting the linkage between scientific knowledge and commercialization in 2009. R&D and entrepreneurial activities are essential for the success of the International Science Business Belt. In particular, prioritizing the types of businesses is critical at the cluster establishment stage in that this largely affects the features and development of clusters comprising the International Science Business Belt. This research aims to predict the entry and growth of firms that specialize in four industrial clusters, including Big Science Cluster, Frontier Cluster, ICT Cluster, and Bio-Healthcare Cluster. For this purpose, we employ the Swann & Prevezer's industrial clustering model to identify sectors that affect the establishment and growth of industrial clusters in the International Science Business Belt, focusing on ICT, Bio-Healthcare and Frontier clusters. Data was collected from the 2014 Korean Innovation Survey (KIS) and University Alimi for the ICT cluster, 2014 National Bio Industry Survey and University Alimi for the Bio-Healthcare Cluster, and the 2015 National Nano Convergent Industry Survey and Annual Report of Nano Technology for the Frontier cluster. Empirical results show that the ICT service sector, bio process/equipment sector, and Nano electronic sector promote clustering in other sectors. Based on the analysis results, we discuss several policy implications and strategies that can attract relevant firms for the development of industrial clusters.

• Journal of Digital Convergence
• /
• v.10 no.2
• /
• pp.55-61
• /
• 2012

This space is for the abstract of your study in English. Recently, we began to face a significant change in our daily lives due to the expansion of the use of smartphones. In this regard, this study aims at examining the mechanism of Smart Work, necessary for the creation of job, led by the use of smart devices, and ways of its development. Accordingly, this study defined concepts of Smart Work clearly and analyzed the convergence of information through IT, the exploitation of new markets, derived from information industry, along with foreign cases of job creation through ICT. Furthermore, change in people's cultural recognition is required for the place of smart Work. For example, cluster development based on the public-private cooperation will promote the creation of job. In addition, the cooperation of the academic world and the service industry will play a leading role in developing local economy. To attain this end, the policy support of government for Smart Work and the public-private cooperation are needed.

• Convergence Security Journal
• /
• v.12 no.6
• /
• pp.25-30
• /
• 2012

As the network composed of numerous sensor nodes, sensor network conducts the function of sensing the surrounding information by sensor and of the sensed information. Our military has also developed ICT(Information and Communication Technology) along with the methods for effective war by sharing smooth information of battlefield resources through network with each object. In this paper, a sensor network is clustered in advance and a cluster header (CH) is elected for clusters. Before deployment, a certificate is provided between the BS and the sensor nodes, and after clustering, authentication is done between the BS and the sensor nodes. Moreover, inter-CH authentication technique is used to allow active response to destruction or replacement of sensor nodes. Also, because authentication is done twice, higher level of security can be provided.

• Journal of Digital Convergence
• /
• v.14 no.2
• /
• pp.271-278
• /
• 2016

University-industry cooperation is indispensable for a short-term problem solving, as well as sustainable growth in the economy of the Republic of Korea. In order to embody and implement that, the government has run a variety of financial assistance programs and policies for the promotion of the cooperation for the last 10 years, and Korea Sanhak Foundation has made progress in academic and research development support, creative personnel training and scholarships, International Support and other projects. In this paper, window-type university-industry convergence and practices, and analyzing the best practices of national and international IT-based fusion technology, corporate cooperation were established to support measures taken in conjunction type and model of the university. Industry utilizing the latest IT technology based on this model, academia, proposed a collaboration system between workers building measures.

• Journal of Intelligence and Information Systems
• /
• v.25 no.1
• /
• pp.179-196
• /
• 2019

Recently, the "Smart Consumer" has been emerging. He or she is increasingly inclined to search for and purchase products by taking into account personal judgment or expert reviews rather than by relying on information delivered through manufacturers' advertising. This is especially true when purchasing cosmetics. Because cosmetics act directly on the skin, consumers respond seriously to dangerous chemical elements they contain or to skin problems they may cause. Above all, cosmetics should fit well with the purchaser's skin type. In addition, changes in global cosmetics consumer trends make it necessary to study this field. The desire to find one's own individualized cosmetics is being revealed to consumers around the world and is known as "Finding the Holy Grail." Many consumers show a deep interest in customized cosmetics with the cultural boom known as "K-Beauty" (an aspect of "Han-Ryu"), the growth of personal grooming, and the emergence of "self-culture" that includes "self-beauty" and "self-interior." These trends have led to the explosive popularity of cosmetics made in Korea in the Chinese and Southeast Asian markets. In order to meet the customized cosmetics needs of consumers, cosmetics manufacturers and related companies are responding by concentrating on delivering premium services through the convergence of ICT(Information, Communication and Technology). Despite the evolution of companies' responses regarding market trends toward customized cosmetics, there is no "Intelligent Data Platform" that deals holistically with consumers' skin condition experience and thus attaches emotions to products and services. To find the Holy Grail of customized cosmetics, it is important to acquire and analyze consumer data on what they want in order to address their experiences and emotions. The emotions consumers are addressing when purchasing cosmetics varies by their age, sex, skin type, and specific skin issues and influences what price is considered reasonable. Therefore, it is necessary to classify emotions regarding cosmetics by individual consumer. Because of its importance, consumer emotion analysis has been used for both services and products. Given the trends identified above, we judge that consumer emotion analysis can be used in our study. Therefore, we collected and indexed data on consumers' emotions regarding their cosmetics experiences focusing on consumers' language. We crawled the cosmetics emotion data from SNS (blog and Twitter) according to sales ranking ($1^{st}$ to $99^{th}$), focusing on the ample/serum category. A total of 357 emotional adjectives were collected, and we combined and abstracted similar or duplicate emotional adjectives. We conducted a "Consumer Sentiment Journey" workshop to build a "Consumer Sentiment Dictionary," and this resulted in a total of 76 emotional adjectives regarding cosmetics consumer experience. Using these 76 emotional adjectives, we performed clustering with the Self-Organizing Map (SOM) method. As a result of the analysis, we derived eight final clusters of cosmetics consumer sentiments. Using the vector values of each node for each cluster, the characteristics of each cluster were derived based on the top ten most frequently appearing consumer sentiments. Different characteristics were found in consumer sentiments in each cluster. We also developed a cosmetics experience pattern map. The study results confirmed that recommendation and classification systems that consider consumer emotions and sentiments are needed because each consumer differs in what he or she pursues and prefers. Furthermore, this study reaffirms that the application of emotion and sentiment analysis can be extended to various fields other than cosmetics, and it implies that consumer insights can be derived using these methods. They can be used not only to build a specialized sentiment dictionary using scientific processes and "Design Thinking Methodology," but we also expect that these methods can help us to understand consumers' psychological reactions and cognitive behaviors. If this study is further developed, we believe that it will be able to provide solutions based on consumer experience, and therefore that it can be developed as an aspect of marketing intelligence.