• Proceedings of the KSR Conference
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• 2009.05a
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• pp.581-588
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• 2009

With the development of IT industry and formation of web-based knowledge sharing platform, a variety of railway-related information services on the web have emerged, ranging from personal blogs to dedicated portal sites, as in the other sectors. These services are contributing to advancing railway industry after all. As far as it is concerned with specific areas such as railway sector, the internet users are hardly expected to avail satisfactory results in acquiring customized information from the access, as the information served varies on the intension of the web site operator or relevant agency, and indexing categories and sub-categories is not easy to work out in a straight manner. This study will review on the feasibility of standardizing categories and sub-categories for railway industry information on the web, and present optimum categorization and sub-categorization approach for the most satisfactory results when searched, ultimately aiming at laying a foundation to satisfy the wide spectrum of users' need for railway information.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.2
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• pp.691-708
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• 2014

This paper formalizes a special type of social networking knowledge, which is called "workflow performer-role affiliation networking knowledge." A workflow model specifies execution sequences of the associated activities and their affiliated relationships with roles, performers, invoked-applications, and relevant data. In Particular, these affiliated relationships exhibit a stream of organizational work-sharing knowledge and utilize business process intelligence to explore resources allotting and planning knowledge concealed in the corresponding workflow model. In this paper, we particularly focus on the performer-role affiliation relationships and their implications as organizational and business process intelligence in workflow-driven organizations. We elaborate a series of theoretical formalisms and practical implementation for modeling, discovering, and visualizing workflow performer-role affiliation networking knowledge, and practical details as workflow performer-role affiliation knowledge representation, discovery, and visualization techniques. These theoretical concepts and practical algorithms are based upon information control net methodology for formally describing workflow models, and the affiliated knowledge eventually represents the various degrees of involvements and participations between a group of performers and a group of roles in a corresponding workflow model. Finally, we summarily describe the implications of the proposed affiliation networking knowledge as business process intelligence, and how worthwhile it is in discovering and visualizing the knowledge in workflow-driven organizations and enterprises that produce massively parallel interactions and large-scaled operational data collections through deploying and enacting massively parallel and large-scale workflow models.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.328-329
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• 2017

본 논문에서는 위치 기반의 지식 공유 서비스를 제안한다. 이 서비스는 사용자의 위치를 기반으로 온라인에서 오프라인까지 효과적인 지식 공유를 가능하게 한다. 또한 위치 기반 서비스의 고질적인 문제인 위치정보의 노출을 방지하고, 서비스의 사용자를 판단하여 응답후보자를 고려하는 알고리즘이 적용되었다. 본 서비스는 실제환경에서 국내외 서버로부터 질의를 요청하였고 콜백시간이 최대 2.6초로 좋은 성능을 보였다.

• Journal of Korean Society for Quality Management
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• v.44 no.4
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• pp.735-749
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• 2016

Purpose: This study is addressing the establishment of the knowledge information system supplying the quality management of weapon system. It is going to support the continuous quality management through the linkages and integration between the product structure and the quality information. Methods: The interrelated relationship of the product structure information and quality information of weapon system would be expressed explicitly by taking advantage of the ontology concept. The quality information of distributed systems would be integrated through the SOA(Service Oriented Architecture)-based Web services. After defining the inference rules, which could be utilized in the quality management, in the constructed knowledge information system, the quality information would be inferred through the queries. Results: By building the integrated quality information knowledge system through the ontology and SOA, the connectivity between the product structures and dispersed quality information was enhanced. The utility and applicability of this study were checked up through the inferences on the products and quality information by using the information built by the semantic relationship of facts. Conclusion: We established the knowledge and information system as a systematic approach to support the quality management of weapon system. This is not affected by the organizations and systems, and it seems that it could be utilized across the quality management as the efficient knowledge sharing architecture supporting the quality management of weapon systems in the aspect of the product integration.

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.6
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• pp.17-34
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• 2021

As knowledge management is recognized as an important factor for organizational performance, organizations are increasing their investment in knowledge management policies and technologies. The purpose of this study is to suggest positive and negative causes on the intention to share knowledge through a using knowledge management system(KMS) and to suggest the effect of organizational sharing climate. Research models and hypotheses were presented through previous studies, and 417 samples were obtained through the survey for employees of organizations that adopted a KMS. As a result of the analysis, usefulness and ease of use of the KMS had a positive effect on the intention to share knowledge, and task conflict and ambiguity had a negative effect. The knowledge sharing climate was found to be an antecedent for the technology acceptance model and task stress. In addition, task stress moderated the effect of usefulness and ease of use with the intention to share knowledge using KMS. The results suggested the direction to be pursued at the organizational level for the continuous use of KMS.

• The Journal of Information Systems
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• v.19 no.4
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• pp.65-85
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• 2010

The importance of communities of practice(CoP) as an organizational informal unit for fostering knowledge transfer and sharing gains a lot of attention from KM researchers and practitioners. Since most of CoPs are formulated online these days, the credibility or trustworthiness of knowledge contents circulated within a certain CoP should be considered thoroughly for them to be fully utilized safely. Here comes the need for an appropriate trust measuring methodology to determine the true value of knowledge given by unknown people through an online channel. In this paper, an improved trust measuring method is proposed using new trust variables such as level of degrees derived from the relationships among community users. In addition, activeness, relevance, and usefulness of the knowledge contents themselves, which are calculated automatically using a text categorization technique, are also used for trust measurement. The proposed framework incorporates fuzzy set and calculation concepts to help build trust matrices and models, which are used to measure the level of trust involved in specific knowledge artifacts concerned.

• Journal of Information Technology Services
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• v.6 no.1
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• pp.1-15
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• 2007

An objective and valid knowledge activity indicator (KAI) is essential for encouraging knowledge activity in public institution. However, knowledge activity of public institution is inherently different from one of private corporation and, therefore, new method to find aggregated knowledge mileage considering public organizational culture and structure is to be developed. Therefore, this paper shows how to develop KAI of public institution based on three steps. First, knowledge activities were categorized as knowledge creation, knowledge sharing, and knowledge value increasing. Several knowledge indicators and hierarchical knowledge structure were developed for each knowledge categories. Second, personal knowledge mileage was calculated using AHP method considering whole organization's opinion. Finally, these approaches to find KAI were applied to "P" public institution as case studies. The results shows that KAI developed in this paper was very effective in grouping knowledge workers based on knowledge activities.

• The Journal of Information Systems
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• v.27 no.1
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• pp.111-131
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• 2018

Purpose This study empirically investigated the impact of information technology(IT) capability on the co-innovation with suppliers and the effects of the co-innovation with suppliers on the product and process innovations in manufacturing firms. We demonstrated that IT promotes innovations trough the sharing of knowledge with suppliers. Design/methodology/approach The empirical data were collected through post-survey. 97 valid survey data were finally collected. With a multiple-regression analysis, we confirmed the influence relationships among critical variables. Findings In the empirical results, it was found that IT integration positively and significantly influences the amount of inter-organizational information exchange with suppliers. The results showed that the inter-organizational information flow with suppliers has a positive and significant impact on the inter-organizational learning with suppliers. It was also observed that the inter-organizational learning with suppliers facilitates and promotes the co-innovation with suppliers. From these results, it is concluded that the co-innovation with suppliers is activated through the knowledge transfer or sharing caused by an inter-organizational information flow or learning. Finally, the positive effects of the co-innovation with suppliers on the product and process innovations were empirically confirmed. Thus, it is suggested that IT capability influences innovations through the co-innovation with suppliers caused by an inter-organizational information flow.

• Journal of Haehwa Medicine
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• v.22 no.1
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• pp.49-56
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• 2013

Objectives: The objectives of this study are to determine both what information Korean Medicine(KM) doctors want from medical classics and how classic KM knowledge should be structured. Methods: KM doctor survey was conducted in October 2012 via E-mail to determine what information Korean Medicine doctors want to collect from a larger volume of existing classics. Specialist survey was made in October 2012 through questionnaire and 8 workshops were held between April 2012 ~ February 2013 to discuss how to reorganize classic KM knowledge. Results: With two surveys and 8 workshops, we built a conceptualization of the classic KM knowledge system for KM practice. KM doctors wanted to engage with the design of KM knowledge system informed by authentic medical classics, and hoped that more information on common disorders would be added to the table of contents of classic KM books than now. A comprehensive knowledge system was also required to maximize information sharing. Conclusions: Future KM knowledge systems need to be more comprehensive and include more information about disorders with which patients commonly consult KM doctors.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.1
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• pp.34-49
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• 2015

Market means of spectrum trading have been utilized as a vital method of spectrum sharing and access in future cognitive radio system. In this paper, we consider the spectrum trading with multiple primary carrier providers (PCP) leasing the spectrum to multiple secondary carrier providers (SCP) for a short period of time. Several factors including the price of the resource, duration of leasing, and the spectrum quality guides the proposed model. We formulate three trading policies based on the game theory for dynamic spectrum access in a LTE based cognitive radio system (CRS). In the first, we consider utility function based resource sharing (UFRS) without any knowledge of past transaction. In the second policy, each SCP deals with PCP using a non-cooperative resource sharing (NCRS) method which employs optimal strategy based on reinforcement learning. In variation of second policy, third policy adopts a Nash bargaining while incorporating a recommendation entity in resource sharing (RERS). The simulation results suggest overall increase in throughput while maintaining higher spectrum efficiency and fairness.