• Knowledge Management Research
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• v.16 no.2
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• pp.1-27
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• 2015

This paper presents a knowledge-based view of platform-centered collaborations among multiple organizations. Studies of technological innovation and knowledge creation have broadened beyond their initial emphasis on internal development within an organization or simple exchange of ideas between two parties toward complex collaboration among many organizations at the level of platform-based knowledge ecosystems. Platforms serve as an interface between different groups of producers and consumers in a variety of multi-sided knowledge markets such as smartphone operating systems and video games industries. This study is an exploratory examination to offer theoretical understanding of how the organizational capabilities of platform leaders help expand a network of platform participants. The growth of platform participants is particularly important in the early stage of any platforms as the concept of network effects suggests that the platform with the largest number of participants will capture entire markets. Building upon organization studies and network economics theory on multisided markets, this paper focuses on the role of platform leaders in expanding platform-based collaboration. In our view, platform leaders develop varying levels of three organizational capabilities to discern quality of potential participants, to attract them to actually participate in collaboration, and to maintain long-term exchange relations in the ecosystem. We suggest that the capabilities of platform leaders will have a positive effect on the expansion of platform participants to secure network effects, and also examine several contextual factors that moderate the relationship between a platform leader's capacity and platform expansion.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2005.05a
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• pp.219-225
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• 2005

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2006.04a
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• pp.145-148
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• 2006

• Journal of the Korean Society for information Management
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• v.25 no.4
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• pp.67-85
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• 2008

The purposes of this study are to examine the factors influencing the user satisfaction of knowledge management system(KMS) and the influence of the user satisfaction on the performance, and to search the strategies for effective KMS operating. The results of covariance structural analyses indicate that the factors-knowledge quality and KMS quality significantly influence the user satisfaction. User satisfaction also significantly affects the performance. Based on the results, this study discusses the potential implications for the strategies of KMS implementing to improve the user satisfaction and performance.

• Journal of Electrical Engineering and Technology
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• v.3 no.3
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• pp.363-372
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• 2008

In this paper, knowledge-based approach using Support Vector Machines (SVMs) are used for estimating the coordinated zonal settings of a distance relay. The approach depends on the detailed simulation studies of apparent impedance loci as seen by distance relay during disturbance, considering various operating conditions including fault resistance. In a distance relay, the impedance loci given at the relay location is obtained from extensive transient stability studies. SVMs are used as a pattern classifier for obtaining distance relay co-ordination. The scheme utilizes the apparent impedance values observed during a fault as inputs. An improved performance with the use of SVMs, keeping the reach when faced with different fault conditions as well as system power flow changes, are illustrated with an equivalent 265 bus system of a practical Indian Western Grid.

• STI Policy Review
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• v.7 no.1
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• pp.40-65
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• 2016

Knowledge plays a more important role in promoting entrepreneurship in the current information-led society than it did during the age of industrialization. Many recent studies found that entrepreneurship stimulates and generates innovation and economic growth. In response to the issues of long-term low growth, the Japanese government implemented several policies to encourage universities initiate entrepreneurial activities. This paper examines Japanese policies since 2014 that support universities in providing various programs for developing global entrepreneurs. Thirteen academic institutes were beneficiaries of three-year funding since the fiscal year of 2014. Each university designed its own educational programs according to their own contexts, built various forms of innovation ecosystems with domestic as well as international partner organizations, and offered entrepreneurship training courses or innovation workshops for companies to sustain its programs through broadening their funding bases. Due to the interdisciplinary nature and short history in operating the programs so far, it is difficult to evaluate the effectiveness of the programs. However, each participating university accumulated knowledge and experience while carrying out their various programs, suggesting important new directions for policymakers and education program designers in facilitating entrepreneurship and innovation.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.8 no.2
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• pp.140-145
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• 2008

In this paper, we constructed the advanced cargo monitoring system for liquid cargo tankers which embedded the Decision Support System (DSS) based on the International Ship Management Code (ISM Code). To make this system, we first organized a base of expert's knowledge concerning liquid tanker operations that largely affect ocean accidents. We can find out the knowledge via inference method which simply imitates the fuzzy inference method. Based on this expert's knowledge, we constructed the DSS that provides a code of conduct for operating cargo tanks safely. The proposed monitoring system could eliminate human error when confronting dangerous situations, so the system will help sailors to operate cargo tanks safely.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.672-683
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• 2007

The rapid development of Kuala Lumpur has seen numerous new and high-rise buildings introducing Building Automation System (BAS). Whilst effective application of Knowledge Management (KM) within BAS is the pre-requisite for the achievement of optimum BAS performance, there has been little research undertaken to investigate if have been the case. This paper presents a research undertaken to get a view of how KM applies in BAS in six (6) selected case-study buildings in Kuala Lumpur, all operating with the 'one-system' M&E workstation control BAS. The emergent findings positively suggest that adequate KM approaches were employed within their BAS management processes, but further studies would be necessary to determine the extent of their application and effectiveness.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.3
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• pp.1815-1823
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• 2015

This research empirically analyzed the effect of introduction factors of knowledge management system on organization performance with companies and agencies introducing and operating knowledge management system. As a result of analysis: first, it showed that CEO support among the sub-variables of organization factors affected organization performance; second, quality, reliability and convenience in use of knowledge information, sub-variables of knowledge information factors, had a significant influence; and vision and goal among sub-variables of organization factors, didn't have an influence on organization performance. These research results were identical with those of precedent studies. But we found out that vision and goal assessed by core strategy and establishment of vision, clarity and concreteness of vision and strategy, necessity of knowledge management, and regularization of core knowledge were analyzed as the variables having no positive effect on organization performance and analyzed differently from the precedent studies' results.

• Proceedings of the KIEE Conference
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• 2003.04a
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• pp.179-181
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• 2003

Conventional P/PI speed controller of today's servo drives should be manually tuned the controller switching set-point by trial-and-errors, which may translate the drive system down-time and loss of productivity. The adjustable drive performance is heavily dependent on the qualify of the expert knowledge and becomes inadequate in applications where the operating conditions change in a wide range, i.e., tracking command, cceleration/deceleration time, and load disturbances. In this paper, the demands on simple controls/setup are discussed for industry servo drives. Analyzing the frequency content of motor torque command, P/PI control mode switching is automatically peformed with some prior knowledge of the mechanical dynamics. The dynamic performance of the proposed scheme assures a desired tracking response curve with minimal oscillation and settling time over the whole operating conditions. For comprehensive comparison of traditional P/PI control scheme, extensive test is carried out on actual servo system.