• Korean Journal of Construction Engineering and Management
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• v.15 no.3
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• pp.113-119
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• 2014

Recently, the demand on the practical application of life-cycle cost effectiveness for design and rehabilitation of structure is rapidly growing unprecedently in engineering practice. Accordingly, in the 21st century, it is almost obvious that life-cycle cost together with value engineering will become a new paradigm for all engineering decision problems in practice. However, in spite of impressive progress in the researches on the LCC, the most researches have only focused on the Deterministic or Probabilistic LCC analysis approach (Level-1 LCC Model) at design stage. Thus, the goal of this study is to develop a practical and realistic methodology for the Lifetime risk based Life-Cycle Cost (LCC)-effective optimum decision-making at design stage.

• Korean Journal of Legislative Studies
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• v.15 no.1
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• pp.119-143
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• 2009

Public disapproval of National Assembly is resulted not only from the structural peculiarity of its decision-making process, but from the gap between public expectation of the National Assembly and its performance. While Korean electorate, being interested in politics with relatively high level of political efficacy, hold higher expectation from politics, the National Assembly fails to satisfy public expectation. In particular, irresponsible behaviors of representatives and the crippled operation of the National assembly are responsible for the low level of public trust to it. Institutional reform and individual efforts of representatives are necessary to promote public trust toward the National Assembly.

• The Korean Journal of Financial Management
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• v.27 no.1
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• pp.31-62
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• 2010

This paper analyzes empirically how analysts' forecasts affected by ownership structure. This study examine a sample of 1,037~1,629 the analysts' forecasts of firms registered in Korean Stock Exchange in the period from 2000 to 2006. The empirical results are summarized as follows. First, from the analysis, companies which have higher major shareholder's holdings tend to increase earnings forecast errors and earnings forecast accuracy. Meanwhile, companies which have higher institution shareholder's holdings tend to decrease earnings forecast errors and earnings forecast accuracy. This result is in line with the view of previous works that companies with higher major shareholder's holdings look towards more of analysts' optimistic forecasts in order to maintain friendly relations with major shareholders. Because of analysts' private information use from major shareholders, earnings forecast accuracy is higher in high major shareholder's holdings firm than in high institution shareholder's holdings it. Second, this analysis is whether the minimal required selection condition of outside directors, audit committee adoption and audit quality affect the relation between ownership structure and analysts' forecasts. This result is that variables related corporate governance do not affect statically the relation between ownership structure and analysts' forecasts. The meanings of this paper is to suggest the positive relations between ownership structure and analysts' forecasts. After this, if analysts will notice forecasts of more many firms, capital market will be more efficient and this field works are plentiful. Also it will need monitoring systems not to distort market efficiency by analysts' dishonest forecasts.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2002.04a
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• pp.274-283
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• 2002

This paper presents an efficient models for reinforeced concrete structures using CART-ANFIS(classification and regression tree-adaptive neuro fuzzy inference system). a fuzzy decision tree parttitions the input space of a data set into mutually exclusive regions, each of which is assigned a label, a value, or an action to characterize its data points. Fuzzy decision trees used for classification problems are often called fuzzy classification trees, and each terminal node contains a label that indicates the predicted class of a given feature vector. In the same vein, decision trees used for regression problems are often called fuzzy regression trees, and the terminal node labels may be constants or equations that specify the Predicted output value of a given input vector. Note that CART can select relevant inputs and do tree partitioning of the input space, while ANFIS refines the regression and makes it everywhere continuous and smooth. Thus it can be seen that CART and ANFIS are complementary and their combination constitutes a solid approach to fuzzy modeling.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.6
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• pp.155-166
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• 2020

The purpose of this study is to explore the impact of self-efficacy, hope, and resilience, which are factors of the positive psychology capital of the re-startup CEO, on the quality of decision-making through the absorption capacity, and the effect of the re-startup's absorption capacity. In particular, this study was started from the question of how positive psychological capital would affect to the re-startup CEO. The survey was conducted from re-founders who received funding from Korea SMEs & Startups Agency. And 144 sample data were analyzed by using SPSS 24.0 for descriptive statistics and by using Smart PLS 3.0. for SEM. The factors of Positive Psychological Capital were extracted to three factors: self-efficacy, hope, and resilience. As a result, it is shown that self-efficacy had a positive effect on potential absorption capacity, and hope had no effect on potential absorption capacity, and positive effects on realized absorption capacity. Resilience has been shown to have a positive effect on potential absorption and realized absorption capacity. It has been shown that potential absorption and realized absorption have a positive effect on the quality of decision making. This study is intended to provide theoretical and practical implications.

• International Area Studies Review
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• v.13 no.3
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• pp.551-581
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• 2009

This case study explores the stock sale, the resulting governance structures, and the airport management and development in Beijing Capital International Airport and Shanghai International Airport at Pudong. It is imperative for Incheon International Airport Corporation (IIAC) to change the management paradigm to survive in the changing environment and to become hubs in the relevant regions. And IIAC needs to search for the new ownership and governance structure to cope with the internal and external demands for innovation. In this study, along with the recent trends of the global airport industry, we suggest the implications for the IIAC's major decisions, especially, for the stock sale, the resulting governance structure, and the airport development and management. It is suggested that Korean government retain the majority control in the process of privatization to keep IIAC as a government-owned enterprise to provide the public goods to the citizen. Furthermore, to maximize the value of stock sale, IIAC needs to decide strategically the time and speed in the hybrid form of stock selling using trade sale and IPOs.

• Journal of Korean Tunnelling and Underground Space Association
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• v.20 no.1
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• pp.131-144
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• 2018

The urban center of a large city has a high concentration ratio of population, commerce, and traffic. Therefore, the expected effect is high from the introduction of the urban utility tunnel and it also has sufficient economic feasibility considering life cycle cost. Moreover, the construction cost can be greatly reduced if it is included in a large underground development such as a subway or a complex transfer center construction. However, it is not reflected in actual underground development plan. When planning a urban utility tunnel in Korea, it is expected to have difficulties such as the cost of relocation of the existing Life-Line, conflicts among the individual facility institutions, procurement of construction resources and sharing. Furthermore, it is possible to promote the project only if a consensus is drawn up by a collective council composed of all facilities and project developers. Therefore, an optimal alternative should be proposed using economic analysis and feasibility assessment system. In this study, the analytic hierarchy process (AHP) is performed considering the characteristics of urban areas and the importance of each indicator is quantified. As a result, we can support reasonable design capacity optimization using the feasibility assessment system.

• Spatial Information Research
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• v.22 no.6
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• pp.55-65
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• 2014

By combining the role of current GIS technology and design behaviors from the cognitive perspective, spatial conceptualization can be extended efficiently and creatively for ill-structured problems. This study elaborates the model of a conceptualization-oriented SDSS(Spatial Decision Support System) for a landscape design problem. Current information-oriented GIS technology plays a minor role in planning and design. The three attributes in planning and design problems describe how the deficiencies of current GIS technology can be seen as a failure of the technology. These are summarized: (1) Information Explosion/Information Ignorance (2) Dilemma of Rigor and Relevance (3) Ill-structured Nature of planning and Design. In order to implement the conceptualization idea in the current GIS environment, it will be necessary to shift from traditional, information-oriented GISs to conceptualization-oriented SDSSs. The conceptualization-oriented SDSS model reflects the key elements of six important theories and techniques. The six useful theories and techniques are as follows; (1) Human Information Processing (2) Tool/Theory Interaction (3) The Sciences of the Artificial and Epistemology of Practice (4) Decision Support Systems (DSSs) (5) Human-Computer Interaction (HCI) (6) Creative Thinking. The future conceptualization-oriented SDSS can provide capabilities for planners and designers to figure out some "hidden organizations" in spatial planning and design, and develop new ideas through its conceptualization capability. The facilitation of conceptualization has been demonstrated by presenting three key ideas for the framework of the SDSS model: (1) bubble-oriented design support system (2) prototypes as an extension of semantic memory, and (3) scripts as an extension of episodic memory in a cognitive pschology perspective. The three ideas can provide a direction for the future GIS technology in planning and design.

• Korea Real Estate Review
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• v.27 no.3
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• pp.23-40
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• 2017

This study examined the motive and incentive for the disposal and purchase of corporate real estate assets based on the various firm characteristics. It was empirically found that firms with a higher leverage ratio, lower cash holdings, and lower sales growth are more likely to dispose of their real estate assets. This implies that financial constraints, internal reserves, and growth opportunities are important factors affecting the corporate decisions regarding the disposal of real estate assets. Meanwhile, it was found that firms with a lower leverage ratio have a higher probability of purchasing real estate assets, suggesting that a stable financial structure enables firms to acquire more of such assets. Using the transaction amount of corporate real estate assets, consistent results were found. While varied opinions on the utilization of corporate real estate assets have been raised, this study broadened the understanding of such by performing rigorous analyses. The result of this study would have practical implications in terms of the introduction of regulations or the establishment of business strategies related to corporate real estate assets.

• Journal of Convergence for Information Technology
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• v.10 no.9
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• pp.1-7
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• 2020

In order to implement a smart factory for manufacturing innovation, more digital twins will be developed and applied gradually. In particular, simulation and optimization of digital twins makes it possible to support critical decision-making like a predictive maintenance of the equipment for manufacturing. In terms of a user perspective, this study suggests the conceptual framework of Digital Twin Management System (DTMS) for supporting the analytical and managerial activities for Digital Twins. We integrate the methods and structure of the area like Manufacturing Engineering, Decision Support Systems, and Optimization for developing the DTMS. The framework suggested in this study shows a typical DSS which consists of dialog management system, model management system and data management system. It also includes Analytical Digital Twins and simulations & optimization module. The framework is being applied in one of the most competitive and complex industrial sector. Also this study is meaningful to suggest a new direction of research.