• Asian Journal of Innovation and Policy
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• v.6 no.2
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• pp.225-244
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• 2017

When evaluating the economic value of technology or business project, we need to consider the period and cost for commercialization. Since the discounted cash flow (DCF) method has limitations in that it can not consider consecutive investment or does not reflect the probabilistic property of commercialization cost, we often take it desirable to apply the concept of real options with key metrics of underlying asset value, commercialization cost, and volatility, while regarding the value of technology and investment as the opportunity value. We at this moment provide more elaborated real options model with the effective region of volatility, which reflects the uncertainty in the option pricing model (OPM).

• Communications for Statistical Applications and Methods
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• v.10 no.1
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• pp.153-166
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• 2003

This study presents the time-divided forecasting model to integrate evolutionary optimization algorithm and change point detection based on artificial neural networks (ANN) for the prediction of (Korea) stock price index. The genetic algorithm(GA) is introduced as an evolutionary optimization method in this study. The basic concept of the proposed model is to obtain intervals divided by change points, to identify them as optimal or near-optimal change point groups, and to use them in the forecasting of the stock price index. The proposed model consists of three phases. The first phase detects successive change points. The second phase detects the change-point groups with the GA. Finally, the third phase forecasts the output with ANN using the GA. This study examines the predictability of the proposed model for the prediction of stock price index.

• Journal of Digital Convergence
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• v.1 no.1
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• pp.235-253
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• 2003

In this research, we have developed a model that can explain the potential customer's needs for the potable Internet service, a concept with 'QoS guaranteed lower-price high speed mobile Internet service. Based on the developed model, we have also derived some empirical implications for the business firms interest in the potable Internet market. The developed model is incorporating a survey result, answering of potential customer's attitude for the portable Internet service, from the subscribers to the Internet service, wireless LAN service, and mobile Internet service. As a result, we have found that a very innovative group, such as wireless LAN users and 20's age group using mobile Internet service, could be the most attractive market segment. Moreover, the aspects of the service coverage and the price competitiveness at the service launching stage could be the most critical success factors for the portable Internet service.

• International Commerce and Information Review
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• v.9 no.3
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• pp.161-180
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• 2007

The electronic bill of lading system replacing with traditional paper B/L has been evolved from SeaDocs and CMI to Bolero system. Therefore e-B/L is considered as an evolving concept rather than fixed one because it has been changed with development of information technology. Bolero system designed to replicate all functions of a paper B/L has some limitation to be utilized as an e-B/L in changing international business arena because it has a centralized model. Therefore it is considered to be important that the current e-B/L operating system needs to be diversified. This paper aims to provide three types of the operating model of global e-B/L to be applied with feasible solution coping with the current problems, which is expected to contribute to the utilization of electronic bill of lading.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.3
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• pp.198-203
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• 2013

Industry convergence is the inexorable trend, which has become a fundamental concept to understand the industrial dynamics and to develop business strategies. However, most of the previous studies on convergence have dealt with the issues at the macro-level (technology- or industry-level), little attention has been paid to the analysis of convergence at the micro level (firm-level). Recognizing that firms are the principal agents that develop fusion technologies, it is encouraged to help firms to work together for technology convergence. Therefore, this research proposes a collaboration model for SMEs, since SMEs tend to have novel ideas and are flexible enough to make fusion-technology. To do this, we conducted a survey for Korean SMEs and analyzed their successful cases of collaboration, which was used as a basis to develop the model. The research results will help develop strategy or policy to promote the collaboration between SMEs and ultimately to make a fusion-technology.

• Journal of Information Processing Systems
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• v.17 no.2
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• pp.284-296
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• 2021

The cloud has already become the core infrastructure of information systems, and government institutions are rapidly migrating information systems to the cloud. Government institutions in several countries use private clouds in their closed networks. However, because of the advantages of public clouds over private clouds, the demand for public clouds is increasing, and government institutions are expected to gradually switch to public clouds. When all data from government institutions are managed in the public cloud, the biggest concern for government institutions is the leakage of confidential data. The public-private-partnership (PPP) cloud provides a solution to this problem. PPP cloud is a form participation in a public cloud infrastructure and the building of a closed network data center. The PPP cloud prevents confidential data leakage and leverages the benefits of the public cloud to build a cloud quickly and easily maintain the cloud. In this paper, based on the case of the PPP cloud applied to the Korean government, the concept, architecture, operation model, and contract method of the PPP cloud are presented.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.3
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• pp.301-315
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• 2010

Recently, competition between companies has intensified and so has the necessity of creating a new business value inventions has increased. A numbers of Business organizations are beginning to realize the importance of business process management. Processes however can often not go the way they were initially designed or non-efficient performance process model could be designed. This can be due to a lack of cooperation and understanding between business analysts and system developers. To solve this problem, business process mining which can be used as the basis of the business process re-engineering has been recognized to an important concept. Current process mining research has only focused their attention on extracting workflow-based process model from competed process logs. Thus there have a limitations in expressing various forms of business processes. The disadvantage in this method is process discovering time and log scanning time in itself take a considerable amount of time. This is due to the re-scanning of the process logs with each new update. In this paper, we will presents a modified FP-Tree algorithm for FP-Tree based business processes, which are used for association analysis in data mining. Our modified algorithm supports the discovery of the appropriate level of process model according to the user's need without re-scanning the entire process logs during updated.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.167-180
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• 2021

The purpose of this study is to present a framework of the MyData business ecosystem that shows a different pattern from the previous one by the MyData concept and to define the characteristics of actors participating in the ecosystem. Because MyData is an individual exercising sovereignty over his or her data, there is a characteristic that the individual participates as a key actor in the business. In other words, MyData Operators participate in the MyData business ecosystem to help individuals who own MyData, MyData creating business and MyData using business, among them, manage their own data. Therefore, this study conducts a case study of domestic and foreign MyData businesses to revitalize the domestic MyData industry. In particular, the business model of 45 cases of overseas MyData operators was analyzed and classified into 7 types of 4 groups. And through this, the importance of the role of MyData Operator in the MyData industry ecosystem is confirmed and a developmental ecosystem model is proposed.

• The Journal of Information Systems
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• v.23 no.1
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• pp.203-223
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• 2014

Co-creation is a new business strategy that creates "mutual value" for both the firm and the consumer through active collaboration among stakeholders. This includes a broader range of participants compared to the traditional environment. Co-creation is currently being applied to a wide range of fields such as marketing, manufacturing, governance, and other disciplines. With a growing interest in co-creation, it is vital to establish a clearly define concept of what co-creation is and what it encompasses. Therefore, the goal of this study is to define the concept of co-creation, to discover current research trends within this area, and to suggest a future research agenda. For this study extensive literature review on co-creation was carried out, adding this paper to the body of co-creation research as a pioneer study.

• Journal of KIISE:Software and Applications
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• v.28 no.12
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• pp.885-895
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• 2001

Existing system analysis models suggest various ideas to present entity relations and event flows for consistency between analysis and design paradigms. However, they are preferred to derive and arrange related entities on system flow than to identify entities. To identify entities systematically is a basic and important work of software development, and identified entities can be major assets of business system. In case of business systems the business rules or the computed or derived information like attendance lists of lecture system can be the most important system assets. The management information or meta data are also. In this paper, we suggest a business system analysis models to derive and present entities. System is identified entities, interfaces and event or behaviors through this model then entities are extended to independent entities, dependent entities, which are dependent to independent entities, constraint shows the physical and administrative notices. Various entity identification can reduce the incompleteness of entity analysis.