• Title/Summary/Keyword: Convergence Business Management

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Priority Derivation of Policy Plans for ICT SMEs and Ventures' Globalization (정보통신분야 중소벤처기업의 글로벌화 정책방안 우선순위 도출)

  • Lee, Jungmann;Cho, Ilgu
    • Journal of Digital Convergence
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    • v.12 no.6
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    • pp.13-22
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    • 2014
  • This study analyzed the globalization policy of ICT SMEs and ventures using cognitive map analysis and derived the priority to importance about action plans using AHP model, while the globalization paradigm has been rapidly changing in the ICT industry. Empirical results showed that policy tool variables should be needed to develop because policy goal variables are generally presented more than policy tool variables. In addition, this cognitive map could be characterized by a scarcity of feedback loops which means policy landscape for ICT SMEs and ventures' globalization is unilateral rather than cyclical to reach policy goal from policy tools. Another finding is that creative economy policy variable was not observed as policy tool variable but as policy goal variable. This means creative economy can be implemented through support for ICT SMEs and ventures' globalization. Finally, for detailed policy measures, installation of global start-up center, recruiting and utilization of global specialists, revitalization of ICT R&D international collaboration study, enlargement of global investment network, accompanied overseas advance of large enterprises and SMEs are presented in order in terms of the importance of policy priority.

Network Analysis using Cross-citation Frequency of Clothing & Textiles -Related Journals (의류 관련 학술지의 상호인용 빈도를 이용한 네트워크 분석)

  • Choi, Kyoung-Ho;Choi, Jin-Hee
    • Journal of Digital Convergence
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    • v.12 no.6
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    • pp.637-643
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    • 2014
  • The purpose of this study was twofold: 1) to analyze the impact factor of clothing and textile-related journals by utilizing the average number of cross-citation that evaluates the relative importance of an academic journal and 2) to provide a list of journals with higher impact factor by analyzing closeness and betweenness among individual journals through graph networks. To fulfill this, a total of 10 clothing and textile-related journals, which are accredited by National Research Foundation of Korea, were analyzed. For analysis of the average number of cross-citation, the targeted research papers were limited to those published between 2008 and 2011 and they were derived from the Korea Citation Index. The software used for network analysis was R ver. 2.15. The results of the study were as follow: First, 'The Korean Society of Knit Design' was indicated as the highest rate of self-citation, followed by 'Journal of the Korean Fashion & Costume Design Association.' Secondly, the average impact power of clothing & textile-related journals was relatively lower (0.681) compared to that (1.00) of 23 journals under the human ecology discipline. 'Korean Journal of Human Ecology' was found to have impact factor of 1.24, which was higher than the average impact factor of human ecology-related journals. Lastly, together with 'Journal of the Korean Society of Clothing and Textiles.'

A Study on Social Finance Market in Korea ; Focused on Social Impact Bond (한국형 사회적금융시장 조성에 관한 연구 ; 사회성과연계채권(SIB)을 중심으로)

  • Cho, Young-Bohk
    • Journal of Digital Convergence
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    • v.16 no.4
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    • pp.11-22
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    • 2018
  • The Social Economy including social enterprise is solving various social problems of our society by innovative business Nevertheless, social economic companies have limited investment ingrowth due to insufficient capital. There are various attempts to solve the limit of capital investment by social finance. Social iImpact bonds that introduced performance-based compensation into financial system is recognized as a new means of procuring that capital lacks. 89 social impact bonds were issued in 19 countries around the world. )f the 22 social impact bonds reporting performance, 21 bonds report positive performance. The twelve bonds paid incentives to investors. It can be said that the government provides incentives to review the issuance of social impact bonds at the government level, which is difficult to expand the social welfare budget. This study confirmed the performance of the social impact bonds and confirmed the possibility of introducing it in korea. There is a limit to continuously increasing the government's social expenditure to meet demand. Therefore, in order to support the growth of social economy based on private investment, the issuing of social impact bonds should create a virtuous circle of social financial market.

Discussion of the success of Motown records company (모타운 레코드사의 성공 요인에 대한 고찰)

  • Kong, Jin-Seok;Cho, Tae-Seon
    • Journal of Digital Convergence
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    • v.15 no.6
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    • pp.439-445
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    • 2017
  • Summary. Most of American pop music, which are dominating the hegemony of the global pop music market, have been derived from the culture of African Americans, most of whom were slaves of European immigrants. The music of black slaves must be the one of the greatest undisputed achievements that have most influenced the American history. Indeed, All of the mainstream pop music works around the world, including those in America, are the descendants of the black music with the gene of the black people. We can say, therefore, the music born through the Afro-American culture has become the music that every person around the world enjoys in the present. Accordingly, K-Pop music culture, centered in idol group, is also based on the black music. This fact suggests that the K-Pop culture can be spread into people in different customs or traditions with little resistance. The success factor of Motown, at the very center of the black music, which integrated the whole global music, is not only their incredibly outstanding music works, but also the self-consciousness the musicians have that they are strongly reluctant to settle down to present reality. This shall lead to the necessity of self-reflection for the Korean music market, which are obsessed with present popularity and only taking advantage of teenager market, and for those engaged in music business in Korea, who are lack of the artistic value and the consciousness as artist.

A Study on Factors Affecting Foreign direct Investment in Korea -Focused on Hofstede's Culture Dimensions and CPI Index- (한국의 외국인직접투자에 영향을 주는 요인에 관한 연구 - 문화적 차원과 부패인식지수를 중심으로-)

  • Choi, A-Reum;Koo, Jee-Hyun
    • Journal of Digital Convergence
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    • v.15 no.6
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    • pp.1-8
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    • 2017
  • This study examined the factors influencing foreign direct investment(FDI) in OECD countries where Korea is a target country. The differences in the cultural distances of host and home countries and the difference in the perceptions of corruption have been used to identify the factors affecting foreign direct investment. As a result of the study, it was found that there are differences in foreign direct investment according to cultural dimension and corruption perceptions index. Foreign direct investment may increase or decrease depending on the cultural tendency and the higher the perceptions of corruption, the more active the investment. The smaller the power distance between host country and home country in the factors affecting foreign direct investment, the larger the number of investments and the larger the size of individualism versus collectivism. Foreign direct investment increased when the investing country's corruption perceptions index was high. The results of this study confirm that cultural and corruption perceptions can affect trade transactions. Therefore, it is necessary to consider the cultural tendency and the cultural distance in the trade transaction by confirming that the degree of culture and corruption perceptions can affect the trade transaction. And that it can influence trade and economic growth by appropriately managing social variables such as public corruption.

Experiencing with Splunk, a Platform for Analyzing Machine Data, for Improving Recruitment Support Services in WorldJob+ (머신 데이터 분석용 플랫폼 스플렁크를 이용한 취업지원 서비스 개선에 관한 연구 : 월드잡플러스 사례를 중심으로)

  • Lee, Jae Deug;Rhee, MoonKi Kyle;Kim, Mi Ryang
    • Journal of Digital Convergence
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    • v.16 no.3
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    • pp.201-210
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    • 2018
  • WorldJob+, being operated by The Human Resources Development Service of Korea, provides a recruitment support services to overseas companies wanting to hire talented Korean applicants and interns, and support the entire course from overseas advancement information check to enrollment, interview, and learning for young job-seekers. More than 300,000 young people have registered in WorldJob+, an overseas united information network, for job placement. To innovate WorldJob+'s services for young job-seekers, Splunk, a powerful platform for analyzing machine data, was introduced to collate and view system log files collected from its website. Leveraging Splunk's built-in data visualization and analytical features, WorldJob+ has built custom tools to gain insight into the operation of the recruitment supporting service system and to increase its integrity. Use cases include descriptive and predictive analytics for matching up services to allow employers and job seekers to be matched based on their respective needs and profiles, and connect jobseekers with the best recruiters and employers on the market, helping job seekers secure the best jobs fast. This paper will cover the numerous ways WorldJob+ has leveraged Splunk to improve its recruitment supporting services.

A Study on the Development Methodology for User-Friendly Interactive Chatbot (사용자 친화적인 대화형 챗봇 구축을 위한 개발방법론에 관한 연구)

  • Hyun, Young Geun;Lim, Jung Teak;Han, Jeong Hyeon;Chae, Uri;Lee, Gi-Hyun;Ko, Jin Deuk;Cho, Young Hee;Lee, Joo Yeoun
    • Journal of Digital Convergence
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    • v.18 no.11
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    • pp.215-226
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    • 2020
  • Chatbot is emerging as an important interface window for business. This change is due to the continued development of chatbot-related research from NLP to NLU and NLG. However, the reality is that the methodological study of drawing domain knowledge and developing it into a user-friendly interactive interface is weak in the process of developing chatbot. In this paper, in order to present the process criteria of chatbot development, we applied it to the actual project based on the methodology presented in the previous paper and improved the development methodology. In conclusion, the productivity of the test phase, which is the most important step, was improved by 33.3%, and the number of iterations was reduced to 37.5%. Based on these results, the "3 Phase and 17 Tasks Development Methodology" was presented, which is expected to dramatically improve the trial and error of the chatbot development.

Predictive Analysis of Ethereum Uncle Block using Ensemble Machine Learning Technique and Blockchain Information (앙상블 머신러닝 기법과 블록체인 정보를 활용한 이더리움 엉클 블록 예측 분석)

  • Kim, Han-Min
    • Journal of Digital Convergence
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    • v.18 no.11
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    • pp.129-136
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    • 2020
  • The advantages of Blockchain present the necessity of Blockchain in various fields. However, there are several disadvantages to Blockchain. Among them, the uncle block problem is one of the problems that can greatly hinder the value and utilization of Blockchain. Although the value of Blockchain may be degraded by the uncle block problem, previous studies did not pay much attention to research on uncle block. Therefore, the purpose of this study attempts to predict the occurrence of uncle block in order to predict and prepare for the uncle block problem of Blockchain. This study verifies the validity of introducing new attributes and ensemble analysis techniques for accurate prediction of uncle block occurrence. As a research method, voting, bagging, and stacking ensemble analysis techniques were employed for Ethereum's uncle block where the uncle block problem actually occurs. We used Blockchain information of Ethereum and Bitcoin as analysis data. As a result of the study, we found that the best prediction result was presented when voting and stacking ensemble techniques were applied using only Ethereum Blockchain information. The result of this study contributes to more accurately predict the occurrence of uncle block and prepare for the uncle block problem of Blockchain.

Network analysis using frequency of cross-citation and comparing citation index of accounting journals (회계학 관련 학술지의 인용지수 비교 및 상호인용 빈도를 이용한 네트워크 분석)

  • Choi, Kyoung-Ho;Oh, Hee-Hwa;Kwag, Hee-Jong
    • Journal of Digital Convergence
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    • v.12 no.2
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    • pp.143-149
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    • 2014
  • Currently, despite the quantitative growth of domestic journal, objective and metric criterion to evaluate the contents and quality of those journals is inadequate. As a result, depending on a foreign citation index like SCI to evaluate the research result is causing some problems such as, thesis of an excellent standard being presented and published in foreign countries, thus, neglecting journals written in Korean. Hereat, the Korea Citation Index(KCI) is constructing a database of the journals published by academic associations; scientific paper information, articles information, and bibliographic, analyzing the quoting relation. Consequently, KCI is providing the basic information and the corresponding quoting relations of journals and papers on its webpage. This study compares the impact level of domestic accounting related journals by KCI and analyzes the network among journals using the cross-citation frequency from a social network analysis point of view. As a result, Accounting-related journals are now more desirable than the location in order to have a variety of interdisciplinary research needs to be encouraged. Through this exchange of other disciplines and actively made, which is the phase of apparent accounting-related journals expect to be greatly enhanced looks.

A Study on the Safety Factor Analysis of Bulk Cargo Handling Using Fuzzy-AHP : Focused on steel cargo (Fuzzy-AHP를 활용한 벌크화물 하역 안전요인 분석에 관한 연구 : 철재화물을 중심으로)

  • Kim, Byung-Hwa;Park, Sung-hoon;Gong, Jeong-min;Yeo, Gi-Tae
    • Journal of Digital Convergence
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    • v.16 no.2
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    • pp.179-188
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    • 2018
  • In this paper, we analyze accident factors that occur in the unloading of steel cargoes and try to derive priority of importance among factors. The Fuzzy-AHP, which enables hierarchical analysis through pairwise comparison of factors, is used to derive priorities of safety factors to consider when unloading steel cargo. In the top factor analysis results, weights were ranked in order of human factors, safety education, equipment and facilities, and business environment. The purpose of this paper is to contribute to the improvement of the safety consciousness of the field workers and enterprises and to reduce the incidence of accidents in the unloading and unloading operations by deriving the relative importance between the factors. In the future, it is necessary to study the cargoes of other disasters such as container cargo as well as steel cargo.