• Journal of Korean Society for Quality Management
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• v.50 no.3
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• pp.305-332
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• 2022

Purpose: As the public interest in entrepreneurship has been highlighted and entrepreneurship policies have been generated, this study is to construct Entrepreneurship Ecosystem (EE) models which have a significant relationship to national entrepreneurship with quantitative analysis. It aims to provide implications to EE policymakers that which national components are effective in cultivating innovative entrepreneurship and validate its EE quality based on quantitative performance goals. Methods: This study utilizes secondary data, categorized under the PESTLE factor from credible international organizations (WB, UNDP, GEM, GEDI, and OECD) to determine significant factors in the quality of the entrepreneurial ecosystem. This paper uses the Multiple Linear Regression (MLR) analysis to select the significant variables contributing to entrepreneurship performance. Using the AUC-ROC performance evaluation method for machine learning MLR results, this paper evaluates the performance of EE models so that it can allow approving EE quality by predicting potential performance. Results: Among nine hypothesis models, MLR analysis examines that the number of the Unicorn company, Unicorn companies' economic value, and entrepreneurship measured as GEI can be reasonable dependent variables to indicate the performance derived from EE quality. Rather than government policies and regulations, the social, finance, technology, and economic variables are significant factors of EE quality determining its performance. By having high Area Under Curve values under AUC-ROC analysis, accepted MLR models are regarded as having high prediction accuracy. Conclusion: Superior EE contributes to the outstanding Unicorn companies, and improvement in macro-environmental components can enhance EE quality.

• Journal of Information Technology Applications and Management
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• v.24 no.4
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• pp.71-92
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• 2017

Finding a root cause is an essential step to solving a complex problem. Some previous studies have used the Delphi method for gathering opinions about root causes from geographically dispersed experts. However, we assert that complicated problems such as an industry ecosystem would make a general type of the Delphi method less practical because of too much psychological burden on study participants. In this study we present a preliminary list-based Delphi study method for identifying a root cause. This method was used to identify a root cause and draw a causal map for the information industry ecosystem problems.

• Journal of Environmental Policy
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• v.10 no.1
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• pp.3-25
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• 2011

Recently, a number of local governments as well as private organizations have spearheaded the release of animals into the natural ecosystem in Korea. In 2002, most of these animals released were mammals and birds, but the parameter was gradually expanded to include fish, amphibians, and invertebrates in addition to mammals and birds in 2007, with an increased overall number of animals released. Such increase has not only posed ecological, economic, and public health risks, but also yielded an increase in damages incurred by releasing animals historically or ecologically alien to a given region without thorough risk assessment. The most significant cause of such risks was a critical lack of risk management and regulatory schemes addressing the release of animals into the natural ecosystem. In stark contrast, developed countries long before established the requisite risk management and regulatory schemes either by complying with the IUCN/SSC's Guidelines for Re-Introductions or devising them independently. In this context, the current study has examined the release of animals into the natural ecosystem in Korea and, based on the investigation, asserted a strong need for proper risk management. Moreover, the study has presented systematic risk management and regulatory schemes suitable for the Korean milieu based on a comparative analysis of those employed in developed countries.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.16 no.3
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• pp.63-81
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• 2013

The vascular plants in the Ohseosan and the Bongsusan, Chungnam were listed 439 taxa (9.0% of all 4,881 taxa of vascular plants); 95 families, 268 genera, 339 species, 5 subspecies, 75 varieties and 20 forms. Furthermore, the Ohseosan were listed 339 taxa and the Bongsusan were listed 306 taxa. So, Hemicryptophytes (H) were 107 taxa (24.4%), Therophytes (Th), Geophytes (G) same as were 82 taxa (18.7%) showed high proportional ratio in life form. Based on the list of rare plants, 4 taxa; Aristolochia contorta, Viola albida, Scutellaria insignis (LC) and Scrophularia koraiensis (DD) and endemic plants, 8 taxa; Aconitum pseudolaeve, Ajuga spectabilis, etc. Based on the list of specific plants, 35 taxa; Wisteria floribunda for. floribunda in class IV, 5 taxa (Scutellaria insignis, Scrophularia koraiensis, etc.) in class III, 5 taxa (Acer triflorum, Cymopterus melanotilingia, etc.) in class II, 24 taxa (Pyrus ussuriensis var. ussuriensis, Campanula punctata, etc.) in class I. Based on the list of naturalized plants, 9 families, 20 genera, 24 taxa (Persicaria orientalis, Carduus crispus, etc.) and ecosystem disturbing plants were Rumex acetocella, Ambrosia artemisiifolia. Naturalization rate was 5.5% of all 439 taxa of vascular plants and urbanization index was 7.5% of all 321 taxa of naturalized plants. In particular, for rare plants, in and ex-situ conservation of genetic resources must surely be done, by preserving present natural habitats, discovering additional natural habitats and securing seeds. Moreover, ecosystem disturbing plants require long-term monitoring and consistent management, since not only do they disturb the ecosystem in competition with Korean native species, but damage humans, too.

• Korean Journal of Environment and Ecology
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• v.26 no.2
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• pp.233-246
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• 2012

We need to analyze the ecological characteristics in the basin of agricultural reservoir that include urbanized area, agricultural area and fringe area, etc. The purpose of this study is not only that presenting the methods of basin ecosystem management but also suggesting ecosystem management plan proposals for the water quality based on analysis of ecological characteristics. As the results of analysis, the urbanized area(the ratio of area(ROA): 14.0%) is most likely to possibility of water pollution, then followed by paddy fields(ROA: 65.5%) where a wide spread up-basin(or up-stream), farmlands(ROA: 11.3%), farm buildings(ROA: 5.7%) and orchard(ROA: 3.9%). According to those, we investigated the impact degree of water pollutants. Thus, we were able to classify 5 types through considering the biotope assessment and the hydrosphere basin assessment, i.e. the level of priority control for source pollution. As a result, the source pollution intensive management area(11.3%) where are adjacent waterfront has caused water pollution, however, most importantly, it is necessary to control in source pollution management area(0.6%) that are away from waterfront. In conclusion, according to the these results, the plan of basin ecosystem management for the water quality should be included the plan of ecosystem conservation and restoration such as improving inhabitants function, controling environmentally sound basin management, promoting biodiversity.

• Journal of Information Technology Applications and Management
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• v.27 no.1
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• pp.125-145
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• 2020

We explore technology ecosystem of smart surgical medical system by analyzing patent data applied for in Korea and Japan. First, a review of trends of patent application by country/technological domain show that there exist a minority of technology domains focused on R&D, which represent their trends have been increasingly active. Also, while a number of Japanese firms mainly consist of the patent market of Japan, in case of the Korean market, a few universities, SMEs, and foreign firms are found to be the main applicants. As a result of the network analysis with the links as the relations of co-patenting, the relationships, which are active of convergence and knowledge spillover among the heterogeneous technology domains within each market, as well as the technology domains, which are the most active in international cooperation among each homogeneous domain, could get derived and visualized in the ecosystem. In addition, the technology domains in each patent market with leading locations, roles, and influence in the network can also be identified through the centrality analysis. In this study, the analysis for technology competitiveness are carried out focusing on patent activity and patent impact. The results denote that across all domains, the Japanese market may possess higher patent activity and patent impact compared to the Korean market. In consequence, we derive the position map for comparison by country and technology domain from a perspective considering comprehensively the multi-dimensional attributes based on the results of both network analysis and technology competitiveness.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.6
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• pp.141-154
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• 2009

Digital Ecosystem is a new word for dynamic IT business environments. Digital Ecosystem can consist of various enterprise federations such as competing, collaborating and stable or unstable ones. They make it difficult to implement identity management for the environment. Existing solutions are either too restricting and inflexible to support the dynamic nature of ecosystems since they are too complex and difficult to adopt. This paper is to propose an distributed identity management model for automated processing of identity information between ecosystems. It is featured with being practical, clear and easy to deploy. And it is based on the new OASIS SAML3.0 standard to provide interoperability between existing identity technologies. This paper presents the basic and extended identity model for single service and multiple services. The model presented in this paper can be applied to enterprise context easily.

• Proceedings of the Korean Society of Environment and Ecology Conference
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• 2003.10a
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• pp.234-238
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• 2003

• Proceedings of the Korean Society of Environment and Ecology Conference
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• 2001.04a
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• pp.75-78
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• 2001

• Journal of Information Technology Applications and Management
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• v.21 no.4_spc
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• pp.431-447
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• 2014

Demand of spectrum resource is tremendously increasing and this trend will continue as more IT services such as cloud computing, smart devices, Internet of Things are provided through wireless network. Recent development of spectrum sharing technology has drawn attention to spectrum policy makers as a promising way to overcome the expected spectrum shortage problem. However, technology-based solution to spectrum shortage problem may not be sustainable since the solution affect only one aspect of spectrum sharing ecosystem. To understand the whole picture of spectrum shortage problem, policies to vitalize spectrum sharing ecosystem were proposed based on the analysis of System Dynamics causal map in the previous study. This study compares and analyzes the effect of those proposed vitalization policies by using System Dynamics simulation. Among seven alternative policies, combined application of demand acceleration policy and technology development policy was found to be more effective for better utilization of spectrum. The effect of demand acceleration policy was offset when other policies are applied together except supply acceleration policy which shows better spectrum sharing.