• Journal of Construction Engineering and Project Management
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• v.4 no.3
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• pp.53-59
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• 2014

Project managers are responsible to conduct project on time with least amount of costs and the most possible quality with respect to shortage of resources and environmental certainties. They have to make the best decision to reach such conflicting objects. In this study the project scheduling with multi goals-multi modes was planned in fuzzy conditions under resource constraints and expanded by fuzzy goal programing (FGP). The project cost was calculated by the price of renewable resources and the quality criteria were evaluated by the quality function deployment method (QFD). Finally the model was verified by a construction case study with 22 activities along with solving by GAMS. The results showed that this model could provide a systematic framework to facilitate the decision making process and made the project managers to be able to schedule the project closer to reality.

• Journal of Construction Engineering and Project Management
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• v.5 no.2
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• pp.35-43
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• 2015

Project Management Consultant (PMC) plays a vital role in the overall performance of any project. Selecting right PMC for right project is the most crucial challenge for any construction owner. Thus, PMC selection is one of the main decisions made by owners at the early phase of construction project. It is not easy for the project owner to select a competent PMC due to the fuzziness, imprecision, vagueness, incomplete and qualitative criteria of the decision. This paper presents a model for selecting PMC contractor using the Fuzzy Analytical Hierarchy Process (FAHP). And a fuzzy number based framework is proposed to be a viable method for PMC contractor selection. A case study to illustrate the application of the model is also presented in this paper.

• Journal of Wetlands Research
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• v.8 no.1
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• pp.97-106
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• 2006

This study discusses two canceled dam projects, Youngwol Dam in South Korea and Two Forks Dam in Colorado of the United States. Both of them illustrate how the new paradigm applies to regional water projects because they became victims of environmental opposition in the new paradigm. While the cases have no apparent close relationships and they occurred in different decades, they offer interesting comparisons. They were basically struggles between water development coalitions and environmental protection coalitions on regional water conflicts. The two proposed projects brought about fierce debates on large dam as they embraced a wide-range of environmental, social, and political issues rather than construction of dams themselves. Huge anti-dam oppositions scrapped them at the cost of nearly ten years for decision-makings and enormous financial resources for feasibility studies respectively. It identifies who the policy actors were, what the policy strategies were, and how the water policies evolved in both countries. The decision-makings on the two projects appeared at first glance to be made under formal institutional frameworks, but in actuality, they relied significantly on decisions of the two important political actors. The Korean society began to learn negotiation and cooperation approaches to solve the water conflict by establishing the Joint Task Force Team on Youngwol project in 1999. The team is recognized as a new conflict resolution method in South Korea because a diverse of stakeholder interests voluntarily participated in the decision-making process and discussed water issues directly. Even though the projects resulted in futile fruits in each country, they illustrate the images of the new paradigm that significantly affected in formulating regional water policies in South Korea and the United States.

• Journal of Information Technology Services
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• v.2 no.2
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• pp.39-51
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• 2003

The Internet affects all economic activities. Physical world business must either adopt new digital strategies, launch new digital business to complement their physical world models, or be forced to completely revise their strategies. The purpose of this paper is to provide a framework that organizes the managerial decision-making process to assist managers in crafting and implementing e-business strategy. We applied the methodology to the case of KNK Educational Institute to explain the process. Core competence of KNK JUNIOR is researched according to our suggested methodology and activities and roles of KNK JUNIOR have been arranged.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.37 no.3
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• pp.205-216
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• 2024

Recently, seismic Probabilistic Safety Assessment (PSA) methods have been developed for process plants, such as gas plants, oil refineries, and chemical plants. The framework originated from the PSA of nuclear power plants, which aims to assess the risk of reactor core damage. The original PSA method was modified to adopt the characteristics of a process plant whose purpose is continuous operation without shutdown. Therefore, a fault tree, whose top event is shut down, was constructed and transformed into a Bayesian Network (BN), a probabilistic graph model, for efficient risk-informed decision-making. In this research, the fault tree-based BN from the previous research is further developed to consider the multi-hazard of earthquake-induced fire and explosion (EQ-induced F&E). For this purpose, an event tree describing the occurrence of fire and explosion from a release is first constructed and transformed into a BN. And then, this BN is connected to the previous BN model developed for seismic PSA. A virtual plot plan of a gas plant is introduced as a basis for the construction of the specific EQ-induced F&E BN to test the proposed BN framework. The paper demonstrates the method through two examples of risk-informed decision-making. In particular, the second example verifies how the proposed method can establish a repair and retrofit strategy when a shutdown occurs in a process plant.

• Journal of the Korea Institute of Military Science and Technology
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• v.21 no.5
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• pp.704-713
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• 2018

The purpose of this study is to develop a systematic framework that can scientifically and quantitatively evaluate the effectiveness of an LVC training system. The proposed framework is based on QFD(Quality Function Development) methodology. The process of developing the framework begins with identifying various needs of stakeholders related to the introduction of the LVC training system. Then the effectiveness areas and factors are derived based on the needs. The measured effectiveness for each factors on alternatives by L, V, C systems are finally synthesized into the one overall effectiveness of each training system for relative comparison among them. In addition, we developed an Excel$^{TM}$-based tool based on the proposed framework methodology to provide an ease-of-use environment for rapid evaluation on the effectiveness of each training system with the given stakeholder need importance combinations, training scenarios and assets. The suggested framework and the measurement tool are expected to be useful for efficient knowledge-based decision making on an acquisition of the LVC training system.

• International Journal of Contents
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• v.10 no.4
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• pp.53-62
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• 2014

Although many studies have considered the outcomes and impacts of serious games, little is known about the factors which affect a user's perception or interpretation in games during the process of decision making from theoretical perspectives. This study aimed to explore the process of user perception from the perspective of construal level theory, and to suggest a theoretical design approach for the development of effective serious games. In the current study, cognitive and affective learning outcomes were articulated through literature review and synthesized into a series of assumptions with persuasive and educational aspects in serious games. Serious games reflect the potential of the game mechanism for changing players' perception, and helping with knowledge acquisition of the users. The potential to use construal level theory for effective serious games interventions was suggested, and a Serious Games Design Framework was proposed via potential outcomes from recent advanced research. Finally, implications of the application of the suggested model with various-related purposes and directions for future research were discussed. The model could be useful not only for game researchers and designers, but also for game marketers in attracting potential consumers.

• Management & Information Systems Review
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• v.16
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• pp.1-35
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• 2005

The Virtual organization is a alternative organization for redesigning the classical organization. With the advantages of the quickness of decision making and also connection with other organization, it can be well prepared for the consumer's need. With recent increased interest in virtual organization, there are many companies that consider the virtual organization as practical use. However, it is still in an early stage of the research and the concept has not been established for the virtual organization. The purpose of this research is to systematize the understanding of the virtual organization for the future organizational model. The differences of existing organizational structure can be compared with these three reasons of practical use for the virtual organization, the development of information technology, the importance of strategic choice and unreliable environment. Also, the framework for the virtual organization can be presented with its profiles. The use of this research can be appeared by analyzing the given framework from the companies that are already made practical application of the virtual organization. For the future, this research will give the direction and its viewpoint how this will be used for achieving the competitive advantage of companies and practical use for actual aspects with the pursuit of this research.

• Knowledge Management Research
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• v.19 no.3
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• pp.173-187
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• 2018

This study was aimed at suggesting an integrative framework for creating collective intelligence and enhancing group performance after reviewing previous studies including those related to learning organizations, organizational learning, knowledge management, and collective intelligence. In the first, we examined that the similarities and differences between collective intelligence and other similar concepts, such as learning organizations, organizational learning, and knowledge management. Next, an integrative framework for creating collective intelligence and channeling it into strong group performance were suggested. In this process, we reviewed conditions for creating collective intelligence and segmented the major variables as expectancy, valence, and instrumentality, according to Vroom's (1964) expectancy theory. Characteristics of problems and the roles of leaders were respectively considered as valence for inducing collaboration and expectancy for managing probability to achieve goals. Instrumental factors were also adopted from conditions for creating group intelligence suggested from several researchers, such as creativity, openness, willingness for working together, horizontal communication, centralization in decision making, and building effective information and communication technology system and active usage of it. We discussed two potentially disputable matters about the scope and level of collective intelligence and group performance and suggest several theoretical and practical implications in the Discussion.

• Asia pacific journal of information systems
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• v.10 no.2
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• pp.51-69
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• 2000

Recently, as business problems become more complicated and require more precise quantitative results, large-scale model management systems are increasingly in demand for supporting the decision-making activities. In addition, as distributed computing over networks gains popularity, departmental computing systems are gradually adopted in an organization to facilitate collaboration of geographically dispersed multiple departments. In departmental collaborative model management systems, multiple departments share common models but approach them with different user-views depending on their departmental needs. Moreover, the shared models become evolved as their structures and the corresponding data sets change due to the dynamic nature of the operating environment and the inherent uncertainty associated with the problems. In such capacity, providing the multiple departmental users with synchronized and consistent views of the models is important to improve the overall productivity. In this paper, we propose a collaborative model management framework for coordinating model change and automatic user-view update in a departmental computing environment. To do so, we describes changes in the model and their effects occurred in departmental model management environments and identifies the constructs and processes for maintaining the consistency between a shared model and its departmental user-views. Especially, in this framework, generic model concept was adopted for accommodating diverse mathematical models in a uniform way in a modelbase and object-oriented database management systems(ODBMS) for combining the model management constructs and automatic user-view update mechanisms in a single formalism. A prototype object-oriented modeling environment was developed using an ODBMS called ObjectStore and $C^{++}$ programming language on Windows NT.