• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.1
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• pp.269-284
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• 2020

This study explored the core management competencies of ventures formed by the entrepreneur's incubator organization and startup experience in the biomedical industry in Korea. An in-depth interview was conducted with 13 entrepreneurs of biomedical ventures. Based on the previous literature, the core management competencies of the ventures, which are influenced by the incubator organization and startup experience, are classified into 'technical competency', 'organization management competency', 'network competency' and 'market pioneering competency'. Analysis of the in-depth interview has revealed 18 factors influencing the formation of the core management competencies of ventures. Qualitative factors that were not addressed by the previous empirical studies were identified in this study. These include 'confidence in technology development', 'way of performing R&D', 'organizational culture' etc. This study is characterized by its scarcity as a qualitative study that deals with the entrepreneurs' prior experience. In addition, this study categorize the core management competencies which are formed by entrepreneurs' incubator organization and startup experience as four factors. This result is expected to be useful in future research.

• Journal of Korean Home Economics Education Association
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• v.19 no.4
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• pp.119-135
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• 2007

This study attempted to explore what are the benefits that online game consumers seek in their on-line game consumption. Nowadays many on-line game consumers are extremely absorbed in the on-line game. The purpose of this study was to find the benefits that make people enjoy on-line games enthusiastically based on the Q methodology. Q methodology is a way to understand a person's structure of subjectivity. This study applied Q methodology to clarifying consumers' subjective evaluation of the on-line game benefit s. 28 Q questions were prepared through literature review, and were offered to 30 consumers. The subjects were divided into the four types seeking different benefits with on-line games: communication, enjoyment, achievement, and escapism. The results suggested that the benefits of on-line game are beyond the general characteristics of the game including human network or achievement in the on-line game community.

• Management & Information Systems Review
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• v.36 no.1
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• pp.1-19
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• 2017

One of the methods of securing the reliability of accounting information is maintaining high audit quality. The first step of improving audit quality is lowering audit engagement risks. Thus, this study analyzed the relationship between the characteristics of accounting firms and audit engagement risks based on the Bayesian Network. For this, Markov Blanket, the minimum explanatory variable set, which affects audit engagement risks, was presented, and based on the drawn causal relationship, sensitivity analysis was conducted to verify the characteristics of accounting firms, which affect audit engagement risks. The existing preceding research that used multiple regression analysis presumes the linearity between explanatory variables and dependent variables, so there was a limit in drawing the relationship between explanatory variables. Therefore, this study figured out the interdependence between variables using the General Bayesian Network and examined the impact that each variable has finally on audit engagement risks that affects the audit quality. The results of this study would greatly contribute to improving the efficiency of the supervisory task by allowing a supervisory institution to identify an accounting firms that does not manage audit engagement risks properly and to improve the supervision of the accounting firms in advance. In addition, this study will be used as a reference when a supervisory institution would improve the system related to audit quality by presenting the characteristics of accounting firms related to the audit quality.

• International Commerce and Information Review
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• v.18 no.3
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• pp.205-226
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• 2016

As knowledge workers have increased and information interchanges become more diverse, only the resources of internal enterprise is not longer useful, and the practical use of external information through information public sharing network is even more crucial. But, few studies that use both internal and external information sharing systems together have been conducted. In this research, we carried on the depth interview to analyze the main factors that intend to utilize outside information as well as to share inside information voluntarily. In conclusion, sharing internal information is directly involved with the performance of their job exchanging simple data, past documents, and technical materials. On the other hand, using the external information belonged to several other organizations is mostly caused by the voluntary participants' satisfaction sharing their individual experience through the network systems. Based on the study, we propose the idea that can activate both internal and external information sharing network through the system with user feedback function regarding the customized information, and with the space expansion where people can freely raise their private opinion. We also introduce the plan of the construction of communication systems with various experts, and the development of compatible devices with diverse interfaces.

• Journal of Technology Innovation
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• v.24 no.2
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• pp.1-20
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• 2016

This case is to analyze the structure of technology convergence with social network analysis. More specifically, the convergence structure among input technologies mediated with products is analyzed with 2-mode social network analysis. Products are identified in project's goal and coded as the Korea Standard Industrial Classification. The input technologies are coded as the National Science Technology Classification. The subjects were 401 R&D projects applied to '2012 Convergence Technology Development Project for Small and Medium Businesses' promoted by Korea Technology & Information Promotion Agency for Small and Medium Enterprises. IT sectors had the structure of a particular input technology connected to many products, BT sectors also had a few input technology connected to many products but most were connected to specific products. Therefore We have realized that each convergence area had different convergence structure. There were the difference of connectivity centrality between input technologies and input technologies mediated with products. For IT sectors, the embedded S/W were the highest in both cases. For BT sectors, functional cosmetic development and fermentation technology were the highest in input technologies but fermentation technology was not the highest in input technologies mediated with products. This case defines the convergence based on the real projects and the use for managing and planing projects. Therefore, this case was to make a tool to analyze and design technology convergence projects.

• Journal of the Korea Convergence Society
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• v.13 no.1
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• pp.71-80
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• 2022

The purpose of this study is to analyze the social perception of invention education center using big data analysis method. For this purpose, data from January 2014 to September 2021 were collected using the Textom website as a keyword searched for 'invention+education+center' in blogs, cafes, and news channels of NAVER and DAUM website. The collected data was refined using the Textom website, and text mining analysis and semantic network analysis were performed by the Textom website, Ucinet 6, and Netdraw programs. The collected data were subjected to a primary and secondary refinement process and 60 keywords were selected based on the word frequency. The selected key words were converted into matrix data and analyzed by semantic network analysis. As a result of text mining analysis, it was confirmed that 'student', 'operation', 'Korea Invention Promotion Association', and 'Korean Intellectual Property Office' were the meaningful keywords. As a result of semantic network analysis, five clusters could be identified: 'educational operation', 'invention contest', 'education process and progress', 'recruitment and support for business', and 'supervision and selection institution'. Through this study, it was possible to confirm various meaningful social perceptions of the general public in relation to invention education center on the internet. The results of this study will be used as basic data that provides meaningful implications for researchers and policy makers studying for invention education.

• Korean Association of Arts Management
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• no.50
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• pp.5-31
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• 2019

The main purpose of this study was to use Deep Learning based Topic Modeling and Semantic Network Analysis to examine research trend of arts management-related papers in korea. For this purpose, research subjects such as 'The Journal of Cultural Policy', 'The Journal of Cultural Economics', 'The Journal of Culture Industry', 'The Journal of Arts Management', and 'The Journal of Human Content', which are the registered journal of the National Research Foundation of Korea directly or indirectly related to arts management field. From 1988 to 2017, a total of 2,110 domestic journals' signature, abstract, and keyword were analyzed. We tried Big Data analysis such as Topic Modeling and Semantic Network Analysis to examine changes in trends in arts management. The analysis program used open software R and standard statistical software SPSS. Based on the results of the analysis, the implications and limitations of the study and suggestions for future research were discussed. And the potential for development of convergent research such as Arts & Artificial Intelligence and Arts & Big Data.

• Journal of Information Technology Applications and Management
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• v.20 no.3_spc
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• pp.231-257
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• 2013

The recent rise in the unstructured data generated by social media has resulted in an increasing need to collect, store, search, analyze, and visualize it. These data cannot be managed effectively by using traditional data analysis methodologies because of their vast volume and unstructured nature. Therefore, many attempts are being made to analyze these unstructured data (e.g., text files and log files) by using commercial and noncommercial analytical tools. Especially, the attempt to discover meaningful knowledge by using text mining is being made in business and other areas such as politics, economics, and cultural studies. For instance, several studies have examined pending national issues by analyzing large volumes of texts on various social issues. However, it is difficult to create satisfactory information services that can identify R&D documents on specific national issues from among the various R&D resources. In other words, although users specify some words related to pending national issues as search keywords, they usually fail to retrieve the R&D information they are looking for. This is usually because of the discrepancy between the terms defining pending national issues and the corresponding terms used in R&D documents. We need a mediating logic to overcome this discrep 'ancy so that we can identify and package appropriate R&D information on specific pending national issues. In this paper, we use association analysis and social network analysis to devise a mediator for bridging the gap between the keywords defining pending national issues and those used in R&D documents. Further, we propose a methodology for packaging R&D information services for pending national issues by using the devised mediator. Finally, in order to evaluate the practical applicability of the proposed methodology, we apply it to the NTIS(National Science & Technology Information Service) system, and summarize the results in the case study section.

• Journal of the Korean Data and Information Science Society
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• v.27 no.2
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• pp.381-394
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• 2016

Graphical model represents conditional dependencies between variables as a graph with nodes and edges. It is widely used in various fields including physics, economics, and biology to describe complex association. Conditional dependencies can be estimated from a inverse covariance matrix, where zero off-diagonal elements denote conditional independence of corresponding variables. This paper proposes a efficient BCDR (block coordinate descent with random permutation) algorithm using graphics processing units and random permutation for the CONCORD (convex correlation selection method) based on the BCD (block coordinate descent) algorithm, which estimates a inverse covariance matrix based on pseudo-likelihood. We conduct numerical studies for two network structures to demonstrate the efficiency of the proposed algorithm for the CONCORD in terms of computation times.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.4
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• pp.642-659
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• 2016

This study examines the characteristics of creative city policy for Japanese culture and arts creation cities and finds the implications of culture and arts city policy by reexamining the examples of Kanazawa and Yokohama from the viewpoint of creation-based strategy of the city. The policy implications of creative-based strategies are as follows. First, in terms of the governance of the creative-based strategy, Kanazawa conducted governance through a citizen-led cooperative network, while Yokohama promoted creative city policy through a local government-led cooperative network. Second, The mechanism of action of the endogenous resources of Kanazawa and Yokohama was different. Third, the territorial embeddedness in Kanazawa and Yokohama was easy for pedestrians to access to the customer center in the creation core area. Both cities have good access to domestic and international demand, and amenity is well established.