• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.1150-1156
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• 2003

This paper suggests process knowledge management (PKM) which aims at lossless integration of business process management (BPM) and knowledge management (KM). To implement PKM, this paper suggests the concept of process knowledge and explores how to use them to extend the functionalities of knowledge management systems and process management systems by considering the lifecycle requirements of both knowledge and business processes. The framework and extended functionalities can provide a new corporate paradigm that combines the advantages of BPM and KM. Further, important corporate knowledge about business processes can be defined and managed in a single framework.

• Journal of Applied Reliability
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• v.8 no.3
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• pp.113-124
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• 2008

In reliability engineering, failure reporting, analysis, and corrective action system (FRACAS) is an useful tool for effective failure reporting and related operations. FRACAS is generally mainly focused on implementation of its closed-loop process, but also includes various related information which has to be effectively managed such as failure types, failure modes, failure mechanisms, and corrective actions. In this study, we adopt and utilize the concept of process knowledge, and create it through abstraction of FRACAS information. At each step of closed-loop process, the necessary type of knowledge, priority and usability are clearly defined. This study also suggests corresponding management tools such as business process management system, knowledge management system, and their key elements and functions to deal with process knowledge. A prototype system using simple closed-loop process with its process knowledge is presented to demonstrate the feasibility of the proposed work.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.9
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• pp.2415-2423
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• 2009

We consider organizational knowledge combination process. Previous literature investigated the issue from either managerial or social aspects, emphasizing on a part of the whole process and limiting to qualitative analyses. Here we propose an integrative and quantitative approach which considers knowledge combination process from engineering perspective. We employ a queueing network model and techniques to capture the process of interactions of entities in the knowledge combination environment. By doing so, we are able to understand the performance of the knowledge combination process. The performance measures derived can provide valuable implications for managerial decisions such as planning and controlling the knowledge combination process.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.664-667
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• 2000

Although managing knowledge about business processes has been recognized as an important aspect of Knowledge Management System (KMS), it has not been satisfactorily addressed academically or commercially. This paper proposes a KMS architecture to effectively manage business process as knowledge. It expands commonly recognized KMS functions with the process packaging module that defines business processes, monitors and evaluates process instances, keeps process instance history, and provides link between processes and other knowledge items such as documents and experts. The users can not only find the best practice of a business process but also learn from mistakes. A prototype system is implemented to show the feasibility of the proposed architecture. The results of this paper can contribute to expand current KMSs to help use knowledge to enhance the users' performance in their business processes.

• The Journal of Information Systems
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• v.9 no.1
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• pp.157-188
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• 2000

Today a knowledge management systems (KMS) is an enabler for gaining competitive position in the market environments. However, it is just recognized as a conceptual management paradigm not as realistic management philosophy in an organization. A firm just accustomed to deal with tangible assets such as inventory and buildings based on the cumulated experiences. However, the firm often struggle with how to define and apply the knowledge management system into its real business activities such as business strategy and productivity. For example, one of textile company, E-land, in Korea found the way how the firm utilize intelligent assets of its employees to overcome the performance differences among the employees in an organization to increase their ability. Managers in an organization should fully understand and try to figure out the concept of knowledge management systems to implement KMS more efficiently and effectively. Even though lots of previous knowledge management literature proposed several unique knowledge management process models, they have their own terms, process sequences, or different approaches. There are three common knowledge management processes： knowledge creation, knowledge store and search, knowledge sharing process. In this study, a new KM process theoretical framework based on the previous researches is developed. This study will guide to those who will adopt or implement of KMS in the organization in near future.

• Journal of Intelligence and Information Systems
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• v.18 no.2
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• pp.61-83
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• 2012

A knowledge map describes the network of related knowledge into the form of a diagram, and therefore underpins the structure of knowledge categorizing and archiving by defining the relationship of the referential navigation between knowledge. The referential navigation between knowledge means the relationship of cross-referencing exhibited when a piece of knowledge is utilized by a user. To understand the contents of the knowledge, a user usually requires additionally information or knowledge related with each other in the relation of cause and effect. This relation can be expanded as the effective connection between knowledge increases, and finally forms the network of knowledge. A network display of knowledge using nodes and links to arrange and to represent the relationship between concepts can provide a more complex knowledge structure than a hierarchical display. Moreover, it can facilitate a user to infer through the links shown on the network. For this reason, building a knowledge map based on the ontology technology has been emphasized to formally as well as objectively describe the knowledge and its relationships. As the necessity to build a knowledge map based on the structure of the ontology has been emphasized, not a few researches have been proposed to fulfill the needs. However, most of those researches to apply the ontology to build the knowledge map just focused on formally expressing knowledge and its relationships with other knowledge to promote the possibility of knowledge reuse. Although many types of knowledge maps based on the structure of the ontology were proposed, no researches have tried to design and implement the referential navigation-enabled knowledge map. This paper addresses a methodology to build the ontology-based knowledge map enabling the referential navigation between knowledge. The ontology-based knowledge map resulted from the proposed methodology can not only express the referential navigation between knowledge but also infer additional relationships among knowledge based on the referential relationships. The most highlighted benefits that can be delivered by applying the ontology technology to the knowledge map include; formal expression about knowledge and its relationships with others, automatic identification of the knowledge network based on the function of self-inference on the referential relationships, and automatic expansion of the knowledge-base designed to categorize and store knowledge according to the network between knowledge. To enable the referential navigation between knowledge included in the knowledge map, and therefore to form the knowledge map in the format of a network, the ontology must describe knowledge according to the relation with the process and task. A process is composed of component tasks, while a task is activated after any required knowledge is inputted. Since the relation of cause and effect between knowledge can be inherently determined by the sequence of tasks, the referential relationship between knowledge can be circuitously implemented if the knowledge is modeled to be one of input or output of each task. To describe the knowledge with respect to related process and task, the Protege-OWL, an editor that enables users to build ontologies for the Semantic Web, is used. An OWL ontology-based knowledge map includes descriptions of classes (process, task, and knowledge), properties (relationships between process and task, task and knowledge), and their instances. Given such an ontology, the OWL formal semantics specifies how to derive its logical consequences, i.e. facts not literally present in the ontology, but entailed by the semantics. Therefore a knowledge network can be automatically formulated based on the defined relationships, and the referential navigation between knowledge is enabled. To verify the validity of the proposed concepts, two real business process-oriented knowledge maps are exemplified: the knowledge map of the process of 'Business Trip Application' and 'Purchase Management'. By applying the 'DL-Query' provided by the Protege-OWL as a plug-in module, the performance of the implemented ontology-based knowledge map has been examined. Two kinds of queries to check whether the knowledge is networked with respect to the referential relations as well as the ontology-based knowledge network can infer further facts that are not literally described were tested. The test results show that not only the referential navigation between knowledge has been correctly realized, but also the additional inference has been accurately performed.

• Knowledge Management Research
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• v.3 no.2
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• pp.31-48
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• 2002

Recent trend of business is characterized by a recognition of importance of knowledge asset. Especially, this phenomenon is receiving more momentum as our society goes digital rapidly. However, most of literature on knowledge management is based on knowledge circulation from the corporate point of view, not from individual viewpoint. In this regard, this paper is concerned with proposing knowledge circulation process and its efficiency from the individual perspective. We adopted structural equation model or SEM to prove the statistical validity of our research framework. Eight hypotheses were built and tested empirically, leading to the fact that the knowledge utilization and sharing of individuals have a positive impact on the knowledge management efficiency.

• Knowledge Management Research
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• v.9 no.3
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• pp.125-140
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• 2008

In this study, we try to explain the impacts of self-directedness and self-efficacy on individual knowledge building process and website loyalty. To verify empirically the proposed research model. first, we reviewed literatures on self-directedness, self-efficacy, knowledge building process, and website loyalty. Second, we performed a survey with questionnaires to undergraduate school students, graduate school students, professionals, and office workers who search information frequently using website. Third, on the basis of collected 221 data, measurement model and structural goodness-of-fit of the research model were verified with, SEM analysis using Lisrel 8.54 version. We found important results such that self-directedness impacted information sharing and elaboration, self-efficacy affected information sharing and knowledge building, and information sharing and knowledge building improved website loyalty.

• Journal of Digital Convergence
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• v.7 no.3
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• pp.61-74
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• 2009

This research reviewed previous research related to Performance Measurement Models of Knowledge Management (PMMKM) in order to integrate their findings with more recent research and construct a new PMMKM. This new hypothetical PMMKM consists of an input sector, a process sector, an outcome sector, and an infrastructure sector. Each sector has three measurement items with the exception of the infrastructure sector which has two. Empirical analyses testing the overall performance model validity of the hypothetical PMMKM were favorable. However, it show be noted that the "share process" and "utilization process" items in the process sector merged into one single item. The same is true with the "individual outcome" and "organization outcome" items in the outcome sector found one single item. The study's results reveal three implications with respect to performance. First, there are derived integrated performance measurement sectors and items based on overall management process of knowledge management, which can be practically applied to the government related research entities. This became apparent after extensive review or previous theoretical studies related to the public sector and private sector. Second, weighted performance measurement of knowledge management using AHP (Analytic Hierarchy Process) Analysis makes it possible to propose PMMKM in government sponsored research institutes. Finally, measuring performance to management knowledge, as shown in this study, will prove useful for inside and outside experts who propose specific guidelines and methodologies for Knowledge management at government sponsored research institutes.

• Journal of Electrical Engineering and information Science
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• v.1 no.2
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• pp.146-146
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• 1996

Although knowledge discovery is increasingly important in databases, the discovered knowledge sets may not be effectively used for application domains. It is partly because knowledge discovery does not take user's interests into account, and too many knowledge sets are discovered to handle efficiently. We believe that user's interests are conveyed by a query and if a nested query is concerned it may include a user's thought process. This paper describes a novel concept for discovering knowledge sets based on query processing. Knowledge discovery process is performed by: extracting features from databases, spanning features to generate range features, and constituting a knowledge set. The contributions of this paper include the following: (1) not only simple queries but also nested queries are considered to discover knowledge sets regarding user's interests and user's thought process, (2) not only positive examples (answer to a query) but also negative examples are considered to discover knowledge sets regarding database abstraction and database exceptions, and (3) finally, the discovered knowledge sets are quantified.