• Journal of Information Technology Applications and Management
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• v.26 no.4
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• pp.41-50
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• 2019

Block chain technology revolutionizes the 'double entry bookkeeping' of accounting principles in 600 years. It will be an opportunity for you to become one. The advent of the block chain will revolutionize the accounting world. It is no exaggeration to say that it is a skill. The use of block chains for accounting leads to the occurrence of transactions. It's easy to identify a transaction, and it's easy to fake or tamper with it. The accounting industry because it is difficult to communicate transparent accounting information to stake holders. Transformations will be possible across the board (Carlozo, 2017). An entity shall provide financial information that is useful to interested parties in making reasonable economic decisions. Transactions arising from business activities are recorded and provided in the books. Interested parties are here. We need to make decisions to protect our interests and make those decisions rationally. To make a decision, we know how the outcome of the decision will affect our self-interest. Because it has to do so, it uses corporate information for this purpose. But the investor is one way of doing business. It is difficult to trust the information provided by (Yermack, 2017). As a result, ICO companies, startups, small businesses lose a lot of business opportunities because they don't have investors. In addition, the management mixes cash flows with accounting interests to indicate changes in cash flows. It experiences failure in its business due to its inability to analyze and predict faithfully. But it's a blockhead in accounting. Applying the factors and recording them in the book will result in a number of benefits for different stake holders. It can be provided. The financial information in the block chain is not subject to further review or verification. It can improve the timeliness and increase reliability of financial information because it cannot be forged or tampered with (Delloitte, 2016). Based on the fourth industrial revolution, the pace of change in all sectors of society has never been faster. Based on block chain technology, decision-making structure is based on vertical structure of the past. Transforming into a horizontal structure collapses existing tools and advances transparency and decentralization a change of Copernican interpersonal awareness with the trend of the times, which is becoming angry with modern people.

• Proceedings of the Technology Innovation Conference
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• 1992.12a
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• pp.119-155
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• 1992

Traditionally, the target of manufaturing technology strategy was derived in a efficiency, cost and productivity. So most activities of the manufacturing brought focus into the engineering technology, equipments and research and improvement of new products to maximize the efficiency. As a resell of this legacy, most of the activities of manufacturing has been executed on the method of quality improvement, development of new equipment to incense the efficiency and the research of materials for new products. Those trends, however overlook the operation management activities which is very important as a assets in competitive strategy. But the market enviornment of morden manufacturing companies faced to the uncertainty and complexity. So they need capability of competition which requires new concept of manufacturing technology strategy to grasp the competitive advantages. In this point of view, this paper deal with the empirical study in korean manufacturing technology strategy of the electic and electronic industry. For the empirical study, check list was made to survey the 98 manufacturing companies. The analysis procedures are as below. First, identify the manufacturing technology group an product structure group by each variable. Second manufacturing technology variables are segmented into product technology and vertical integration, suborder and infrastructure, to analyse the decision making pattern which derive the strategy groups. Third, by the fitness analysis between product structure group and manufacturing technology group, the economic results of a growth rate of sale and a profit rate of sale are tested. In this approach, fitness analysis between product structure group and manufacturing technology group show, as a whole, the no significant values in economic results of the company. But investigating the statistical values shows the trend that econmic result of the complany is somewhat higher when the degree of fitness of manufacturing technology strategy by product structure has high value. Concluding the remarks, the competitive advantages of company lies not in the efficiency of manufacturing systems but in the way of the structure and decision making pattern of the manufacturing system. And the cons i stoney between strategy target and manufacturing technology strategy, and the consistency of manufacturing technology strategy and product structure are the term of competitive advantages.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2002.03a
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• pp.73-87
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• 2002

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.4
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• pp.171-178
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• 2018

Recently, the continuing operation of nuclear power plants has become a major controversial issue in Korea. Whether to continue to operate nuclear power plants is a matter to be determined considering many factors including social and political factors as well as economic factors. But in this paper we concentrate only on the economic factors to make an optimum decision on operating nuclear power plants. Decisions should be based on forecasts of plant accident risks and large and small accident data from power plants. We outline the structure of a decision model that incorporate accident risks. We formulate to decide whether to shutdown permanently, shutdown temporarily for maintenance, or to operate one period of time and then periodically repeat the analysis and decision process with additional information about new costs and risks. The forecasting model to predict nuclear power plant accidents is incorporated for an improved decision making. First, we build a one-period decision model and extend this theory to a multi-period model. In this paper we utilize influence diagrams as well as decision trees for modeling. And bayesian statistical approach is utilized. Many of the parameter values in this model may be set fairly subjective by decision makers. Once the parameter values have been determined, the model will be able to present the optimal decision according to that value.

• 한국디지털정책학회:학술대회논문집
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• 2004.11a
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• pp.233-246
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• 2004

This paper proposes a design of a citizen advisory model under the consideration of the unique characteristics of the government, namely complex structure of goals, predominance by laws, knowledge driven organization, and the good governance objectives. The legal knowledge-based technology is explored with the aims to facilitate citizens in accessing e-government services in five phases: search, intake, decision-making, explanations, and objection and appeal phases. The design of the citizen advisory model consists of four components: specific service advice, customized form fill-in service, decision-making services, and a statement of reasons service. The prototype of the citizen advisory model is illustrated using the Thai Anti Dumping and Countervailing Act 1999 as a legal domain and e-government services example.

• Korean Management Science Review
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• v.27 no.1
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• pp.1-16
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• 2010

According to appearance of a new competitive factor, as 'Green', Green Logistics becomes the important evaluation factor for many firms in emerging competitive environment. Despite this importance, the recognition level of Korean firms on Green Logistics lags behind that of leading companies in developed countries. In addition, the literature studies and practical strategies for systematic management control plans are very insufficient. In this paper, we establish decision making framework of Green Logistics by using ANP(analytic network process). Specifically, we suggest at first the overall concepts and issues of Green Logistics through literature studies. Next, we derive 6 clusters and 21 components forming the strategic green logistics, and then we conduct surveys for pairwise comparison of experts on Green Logistics and compute relative weights of the clusters, components and altanatives considering the feedback structure. We expect that the results of this study will be very helpful for managers to make strategic decisions.

• 한국신재생에너지학회:학술대회논문집
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• 2011.05a
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• pp.135.2-135.2
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• 2011

The goal of this study is the derivation of priority for business in the areas of green energy technologies. In this paper, we calculated the importance weights of impact factors using the AHP (Analytic Hierarchy Process) method in order to derivation of priority to the green energy technologies business. AHP is a useful method for evaluating multi-criteria decision making problems. To apply the AHP method, specialists for the assessment have been identified by using the concept of 'plan, do, see' and the decision-making hierarchy was established. We selected 5 criteria and 16 sub-criteria for impact factors by brainstorming. According to the result in this study, the most important impact factor is the possibility of commercialization, the second is the possibility of developing the fundamental technology, and the third is the possibility of convergence technology.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.30B no.2
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• pp.8-18
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• 1993

A multi-font, multi-size and high speed character recognition system is designed. The design principles are simpilcity of algorithm, adaptibility, learnability, hierachical data processing and attention by feed back. For the multi-size character recognition, the extracted character images are normalized. A hierachical classifier classifies the feature vectors. Feature is extracted by applying the directional receptive field after the directional dege filter processing. The hierachical classifier is consist of two pre-classifiers and one decision making classifier. The effect of two pre-classifiers is prediction to the final decision making classifier. With the pre-classifiers, the time to compute the distance of the final classifier is reduced. Recognition rate is 95% for the three documents printed in three kinds of fonts, total 1,700 characters. For high speed implemention, a multiprocessor system with the ring structure of four transputers is implemented, and the recognition speed of 30 characters per second is aquired.

• Asian Journal of Innovation and Policy
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• v.5 no.2
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• pp.197-207
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• 2016

This paper seeks to measure the monetary value of technical development in the deep seabed manganese nodule mining by applying the compound option model (COM). The COM is appropriate for the project in terms of its decision-making structure and embedded uncertainty. The estimation results show that the deep seabed mining project has more economic potential than shown by the previously obtained results from the discounted cash flow (DCF) analysis. In addition, it is reasonable to invest in the project taking the various uncertainty factors into consideration, because the ratio of the value to the cost of the project is far higher than one. This information can be utilized in national ocean policy decision-making.

• Korean System Dynamics Review
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• v.7 no.1
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• pp.229-243
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• 2006

In recent years, due to a lack of expertise, many organizations have been devoting large portions of their budget to outsourcing. Outsourcing is now often regarded as a solution for all problems. However, the lack of clear understanding of the effectiveness of outsourcing could lead to many problems in organizations even though outsourcing is known to provide advantages to some organizations. Moreover, outsourcing could have a negative effect on knowledge management in some aspects. There have been and continue to be numerous studies into outsourcing; however, their findings primarily relate to cost reduction in short-term. Regardless of increasing demands on outsourcing and the importance of knowledge management, little research has focused on decision-making structure from knowledge management perspective. This paper attempted to quickly identify promising movements with potentially significant effects on IT/IS outsourcing.