• The Journal of Bigdata
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• v.2 no.2
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• pp.9-16
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• 2017

Global Platform Solution Company (aka Amazon, Google, MS, IBM) who has cloud platform, are driving AI and Big Data service on their cloud platform. It will dramatically change Enterprise business value chain and infrastructures in Supply Chain Management, Enterprise Resource Planning in Customer relationship Management. Enterprise are focusing the channel with customers and Business Partners and also changing their infrastructures to platform by integrating data. It will be Digital Transformation for decision support. AI and Deep learning technology are rapidly combined to their data driven platform, which supports mobile, social and big data. The collaboration of platform service with business partner and the customer will generate new ecosystem market and it will be the new way of enterprise revolution as a part of the 4th industrial revolution.

• The Journal of Information Systems
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• v.26 no.4
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• pp.189-202
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• 2017

Purpose The purpose of this study is to find the factors for explaining the relationship between the satisfaction of IT consulting and entrepreneurship based on the corporate performance, financial and economic performance. Design/methodology/approach This study made a design of the research model by integrating the factors of entrepreneurship and satisfaction of IT consulting on the basis of ecosystem. In addition, this study, did empirical analysis of the structural equation model by PLS(Partial Least Squares) in order to find out the moderating effect of satisfaction of IT consulting on entrepreneurship. Findings According to the empirical analysis result, this study confirmed that the moderating effect of satisfaction of IT consulting on entrepreneurship, which increase the influence the effect of entrepreneurship on the corporate performance. However, the second order factor of enterprise ecosystem has no effect on the corporate performance. In addition, this study find out that the important role of IT consulting according to the change of business environment.

• 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.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.245-254
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• 2015

The purpose of this research is to study the cyclic structure of startup ecosystem and draw the necessary conditions for maintaining it to successfully induce the activation entrepreneurship. Therefore, we design start-up cycle structure based on the enterprise ecosystem to verify this, we discussed the Tech City in the United Kingdom and Silicon Valley in USA. Required factors for running the start-up cycle structure is summarized as follows. First, the shared platform is provided to form between components in accordance with the object, second, this can be made based on the excellent human resources, third, a number of consumer groups such as venture capitals and angels that revenue from the virtuous circle should be formed, fourth, get the other regional networks and associated, fifth to make it easy to start-ups through government and institutional support and finally, a stand-alone producers(startups) should be fostering entrepreneurship.

• Journal of Information Technology Services
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• v.11 no.4
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• pp.277-294
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• 2012

The purpose of this research is to analyze big data structure and various objects in big data industry based on ecological perspective. Big data is rapidly emerging as a highly valuable resource to secure competitiveness of enterprise and government. Accordingly, the main issues in big data are to find ways of creating economic value and solving various problems. However big data is not systematically organized, and hard to utilize as it constantly expands to related industry such as telecommunications, finance and manufacturing. Under this circumstance, it is crucial to understand range of big data industry and to which stakeholders are related. The ecological approach is useful to understand comprehensive industry structure. Therefore this study aims at confirming big data structure and finding issues from interaction among objects. Results of this study show main framework of big data ecosystem including relationship among object elements composing of the ecosystem. This study has significance as an initial study on big data ecosystem. The results of the study can be useful guidelines to the government for making systemized big data ecosystem and the entrepreneur who is considering launching big data business.

• Journal of the Economic Geographical Society of Korea
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• v.21 no.3
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• pp.254-269
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• 2018

The aim of this paper is to identify the components of the sustainable regional ecosystem of social economy enterprises (hereafter 'regional ecosystem'), and to explore the principles of reciprocity, regard and public policy, which have a fundamental impact on the development of such regional ecosystem. The regional ecosystem is an interactive system of the stakeholders who are related to the process of planning, producing, distributing and selling goods and services, and the agents who maintain and spread their social value orientation. This system operates through the interaction of 'local network (business relations and social relations)', 'intermediary organization' and 'public role.' On the basis of the conceptual framework on the regional ecosystem, the result of the in-depth analysis on the case of Gorang-erang Coop shows the interaction of reciprocity and public policy with respect to regard within the context of a characteristic of the regional ecosystem.

• World Technopolis Review
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• v.5 no.1
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• pp.2-18
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• 2016

The development of Technopolis and the establishment of innovative ecosystem have made an important contribution in South Korea's latest industrial development and economic growth. Particularly, Daedeok INNOPOLIS which is responsible for the central role in the national science technology advancement was founded as the Science Town in the 1970s. Since then, it has undergone three-phases of development: Science Park, Technopolis and Innovation cluster. As the result of the transition, Daedeok INNOPOLIS currently serve as the leading role for achieving sustainable economic growth, employment promotion, national and regional innovation. In order to accelerate the progress for success, Daedeok INNOPOLIS have arranged an opportunity for 21st century new industry development, improved growth of technology-intensive SMEs, reinforced academic-industrial cooperation, and established innovative ecosystem. Daedeok INNOPOLIS is considered as an outstanding case of endogenous development strategy of Technopolis. This study attempts to consider the endogenous development strategy of Technopolis in Korea through the analysis of development characteristics of Daedeok INNOPOLIS in two different perspectives: changes of spatial structure and establishment of innovation ecosystem. Daedeok INNOPOLIS have experienced a series of endogenous growth that is consisted of advancement strategy and structural changes, which allowed Daedeok research town to grow into an innovative cluster. A sign of growth of Daedeok INNOPOLIS became apparent when its strategy to reinforce the academic-industry cooperation system by promoting participation from universities helped to overcome a functional limitation as a research institute integrated for the establishment of innovative ecosystem. Since then, the center for creative economy and innovation established in cooperation with large enterprise, has a role to build a startup ecosystem and to promote next level of development such as proactive fostering of venture companies for sustainable technopolis development.

• Asian Journal of Innovation and Policy
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• v.8 no.1
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• pp.1-30
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• 2019

The advent of digitalisation has transformed economies into more integrated, but increasingly complex systems. This new trend has brought dynamic changes in the manufacturing sector through advanced ICT infrastructure, smart factories, digitally-controlled logistics, and skilled ICT-labour. The impacts of the digital economy on manufacturing could be best illustrated through "Industry 4.0." With this wave of technological advancement, countries aim to establish an industrial ecosystem where every manufacturing process and function is connected and interacts through digital networks. Industry 4.0 presents opportunities for Emerging Asia, as the region has emerged as a fast-growing manufacturing hub and particularly a production base for ICT goods. However, growing production capacity, increased exports, and increases in FDI in the field of ICT goods manufacturing have so far contributed little to the development and diffusion of ICT. A huge gap exists in the ICT uptake amongst countries and between small and large firms. This paper highlights the level of Industry 4.0 readiness of Emerging Asia and key factors that determine its enhancement.

• Journal of Information Technology and Architecture
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• v.10 no.2
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• pp.197-209
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• 2013

This study analyzes the nature of consumers and smart phones as well as its limitations that domestic mobile communication companies confront. According to the analysis results, emerging technologies such as 5G communication, pervasive computing, augmented reality, and big data seem to have significant effect on the ICT ecosystem in the near future. Based on the results, this study suggests four counterstrategies for domestic mobile communication companies: big data strategy, preparation of things acting as a main communication agent, new service platform development, and 'total life care service provider' strategy.

• Journal of Digital Convergence
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• v.12 no.8
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• pp.351-359
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• 2014

The log data generated by security equipment have been synthetically analyzed on the ESM(Enterprise Security Management) base so far, but due to its limitations of the capacity and processing performance, it is not suited for big data processing. Therefore the another way of technology on the big data platform is necessary. Big Data platform can achieve a large amount of data collection, storage, processing, retrieval, analysis, and visualization by using Hadoop Ecosystem. Currently ESM technology has developed in the way of SIEM (Security Information & Event Management) technology, and to implement security technology in SIEM way, Big Data platform technology is essential that can handle large log data which occurs in the current security devices. In this paper, we have a big data platform Hadoop Ecosystem technology for analyzing the security log for sure how to implement the system model is studied.