• Journal of Korea Society of Industrial Information Systems
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• v.14 no.4
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• pp.143-152
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• 2009

This paper deals with a case which is focused on the policy development connected with IT, and verify its validity to enhance R&D capability for Korean steel industry. Korean steel industry, which is at a turning point from technological catch-up to technological frontier, should go ahead with open R&D system to be able to connect with other steel companies, universities and laboratories for its capability buildup. To meet such a challenge, IT should act a critical part in R&D capability enhancement. In this study we discuss not only IT-related support policies and validity of proposed policies through priority analysis, but also the role of government, company and academia within the framework of Triple Helix.

• International Journal of Quality Innovation
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• v.5 no.2
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• pp.132-140
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• 2004

Supply Chain Management (SCM) has drawn high attention and been discussed and under investigation for over two decades. However, how Hong Kong manufacturing firms carry out SCM is still unclear. In order to open the myth on what essentials are critical for SCM implementation, a large-scale questionnaire survey was conducted together with Expert Interviews in 2003. A SCM framework was then developed in which all the critical factors were summarized, categorized and prioritized to come up with a foundation for a self-assessment system for improving SCM performance.

• Journal of the Korea Society of Computer and Information
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• v.26 no.9
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• pp.13-25
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• 2021

In the age of digital innovation based on the Internet, Information and Communication and Artificial Intelligence technologies, huge amounts of datasets are being generated, collected, accumulated, and opened on the web by various public institutions providing useful and public information. In order to analyse, gain useful insights and information from data, Formal Concept Analysis(FCA) has been successfully used for analyzing, classifying, clustering and visualizing data based on the binary relation between objects and attributes in the dataset. In this paper, we present an approach for enhancing the analysis of relational attributes of data within the extended framework of FCA, which is designed to classify, conceptualize and visualize sets of objects described not only by attributes but also by relations between these objects. By using the proposed tool, RCA wizard, several experiments carried out on some public open datasets demonstrate the validity and usability of our approach on generating and visualizing conceptual hierarchies for extracting more useful knowledge from datasets. The proposed approach can be used as an useful tool for effective data analysis, classifying, clustering, visualization and exploration.

• The Journal of Information Technology
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• v.5 no.3
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• pp.137-156
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• 2002

This paper is to analyzes the recent discussions in the WTO and to draw some basic policy implications for Korea concerning electronic commerce. To foster electronic transactions. the WTO agreement should establish a basic legal framework for international transactions to guarantee a stable and predictable environment. The member countries in the WTO, however, have not formed a consensus on the definition, classification, technological neutrality, and domestic regulations dealing with electronic commerce. Digital transfer and classifications of electronic transfer are the most difficult problems to be solved. The discussions on electronic commerce which had been on hold after the Seattle Ministerial is due to begin in a special working group of specialists. Electronic transactions in Korea have been increased rapidly and the implementation of concrete forms and rules of electronic commerce in the WTO will be influential to international trade as we to adopt them in the transactions. Therefore, we have to open our eyes to the trends of international discussions on this matter and to make our rules and laws of electronic commerce to the international levels.

• Journal of the Korean Society of Systems Engineering
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• v.2 no.1
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• pp.11-17
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• 2006

According to the change of customer needs, integration with other systems, and the advent of new technology, it is inevitable for the existing system requirements to be requested to redesign. However, there are actually no methodologies and processes to be able to reorganize the existing requirements or integrate a number of requirements different from each other. The traditional requirements processes do not work when solving such problems. Thus, since the existing approaches to develop requirements are not helpful, many traditional requirement engineering processes can not help falling in Red Ocean. In this paper, in order to solve such the problems, we propose a novel requirements engineering process applying Blue ocean strategy which is used to open a non-competition market not discovered yet. Blue Ocean approach is a novel effective method to elicit and build up new requirements from customers. In order to accomplish the strategy, this paper presents a framework and processes to discover new perspectives and analyze the corresponding requirements. In addition, some pieces of case study are presented to introduce how our approach is applied to practical system developments and the evaluation analysis for how valid it is.

• The Journal of Society for e-Business Studies
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• v.18 no.4
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• pp.25-43
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• 2013

Two of the most important changes in the global market can be represented with Hyper-connection and Glocalization. To cope with these changes and secure the competitive advantages, it is essential to develop the standard organization, policy, processes and criteria for service management. In addition, the service management system is required to effectively support the R&D project management. In this research, an adaptive framework and system architecture for designing R&D project management process using cloud computing has been introduced. With the proposed system, it is able to overcome the limitations of traditional service management and treat the demand from the market in agility. Moreover, it may be possible to present more value than customers want and secure the competitive advantages in the global market with the proposed system.

• Journal of Korea Technology Innovation Society
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• v.17 no.4
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• pp.786-819
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• 2014

Emphasizing the importance of R&D as a source of open innovation, Korean government is developing various programs focused on technology commercialization and is expanding investment on it. In spite of those efforts, technology commercialization is not vitalized yet due to the lack of demand for technology transfer, R&D planning scheme without considering market, immaturity of technology market, and so on. This study aims to suggest the business ecosystem model so that technology commercialization could be facilitated based on business ecosystem perspective. We set the framework for modeling a business ecosystem through reviewing the previous works, and draw several problems to be solved regarding public R&D commercialization in Korea from the perspective of ecosystem. Considering those, this research proposes the business ecosystem model for public R&D commercialization as a reference model for describing, discussing, and developing the technology commercialization strategy. The proposed model consists of 4 domains as follows: R&D, technology market, information distribution channels, and customers. The business ecosystem model shows that technology commercialization could be facilitated to create the market value through close relationship and organic cooperation among its members that form the ecosystem. Public research institutes as a keystone player could control the fate of the ecosystem. In this regard, this paper suggests roles of public research institutes for evolving the business ecosystem.

• The Journal of Information Technology
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• v.4 no.1
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• pp.125-139
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• 2001

EDI(Electronic Data Interchange) works by providing a collection of standard message formats and element dictionary in a simple way for businesses to exchange data via any electronic messaging service. Open-edi is electronic data interchange among autonomous parties using public standards and aiming towards interoperability over time, business sectors, information technology and data types. The number of Internet services using XML/EDI has grown rapidly since it is easily expansible and exchangeable. To use this service, the client does not have to install EDI S/W but only needs internet browser. Consequently, it became much easier and faster to handle the trading process in an office. eBusiness SML (extensible markup language) electronic data interchange. eXedi is the service that realizes B2B of XML/EDI. eXedi can be used easily in small and medium sized companies. Companies in any place can access to eXedi using the existing Internet connection. XML/EDI provides a standard framework to exchange different types of data -- for example, an invoice, healthcare claim, project status -- so that the information be it in a transaction, exchanged via an Application Program Interface (API), web automation, database portal, catalog, a workflow document or message can be searched, decoded, manipulated, and displayed consistently and correctly by first implementing EDI dictionaries and extending our vocabulary via on-line repositories to include our business language, rules and objects.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.3
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• pp.159-175
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• 2021

Business ecosystem is becoming more inclined towards platform ecosystem, which attracts multi-side participants based on digital technology. The burgeoning interest in digital ecosystem leads to the rapid rise of research. In this paper, we suggest a research agenda, focusing on the benefits of complementors in platform ecosystem. First, we outline the extant papers on benefits from platform to participants from economic perspective, strategic management perspective, technology management perspective, and economic sociological perspective to provide comprehensive understanding about platform ecosystem. Second, we suggest systemic framework to provide integrative insights on the the topic of benefit from platform to complementors- (1) open innovation view, (2) economic performance view, and (3) sociological view. Specifically, we focus on empirical studies that investigate the relationship between the benefits from platform and spillover effects on complementors based on various dataset. In addition, by reviewing the past empirical research, we suggest future research agenda and implications for policy in platform ecosystem.

• Design Convergence Study
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• v.16 no.5
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• pp.125-140
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• 2017

This study explores potential capability of a machine learning approach for monitoring urban morphology based on an evident case study. The case study conveys year 2006 investigations on interpreting urban morphology of Boston Main Streets by applying a machine learning approach. From the lesson of the precedent study, in 2016, another field research and interview was conducted to compare changes in urban situation, data commons culture, and technology innovation during the decade. This paper describes open possibilities to advance urban monitoring for morphological changes. Most of all, a multi-participatory data platform enables managing urban data system in real time. Second, collaboration with machines with artificial intelligence can intervene the framework of the urban management system as well as transform it through new demands of innovative industries. Recently, urban regeneration became a dominant urban planning strategy in Korean, therefore, urban monitoring is on demand. It is timely important to correspond to in-situ problems based on empirical research.