• Journal of The Korea Institute of Healthcare Architecture
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• v.16 no.2
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• pp.47-54
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• 2010

This paper is a longitudinal study, comparing survey results between two time periods. A previous survey was conducted in 1999. After 10 years of the first survey, the second survey was conducted while utilizing the same questionnaire. A list of membership of Korea Institute of Heallthcare Architecture was used as a sampling frame. At the first survey in 1999, questionnaires of 27.3 percentage were returned, and 15.5 percentage in the 2008 survey. Healthcare design is one of the highly specialized design types in architecture. In addition, it is demanded highly specialized knowledge to solve healthcare design problems. As a professional service firm(PSF), architectural firm utilizes knowledge assets to provide design service to clients. Specialized knowledge in question is one of the core assets of PSF. The knowledge generates competitive advantages and plays an effective role as a marketing tool for PSF. However, empirical studies dealing with the knowledge characteristics of specialized design(healthcare) firms were hardly found. Thus, this study aims to trace the professional architects' perception of knowledge demands for task performance and architectural knowledge assets. The results can be used as a reference when a specialized firm in healthcare design initiates to build knowledge assets in it.

• Asia pacific journal of information systems
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• v.23 no.1
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• pp.107-132
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• 2013

Despite the importance of knowledge complementarities (KC) to firm performance, very little is known about exactly what constitutes KC and how synergistic knowledge is created in KC. This research looks into the dimensionality of KC and how synergistic knowledge as an essential component of KC is generated in a process innovation (PI) project. We propose that KC consists of potential complementary knowledge, collaborative elaboration (CE) process, and synergistic knowledge. The model is investigated quantitatively, using a sample of 26 matched-pairs of client and consultant who participated in a PI project, and then qualitatively using interviews of a sub-sample of 7 matched-pairs of client and consultant. Data were collected in a longitudinal way at four different points during the four month project period. Results show that consultant's learning about the client's business occurs first and then client learning about IT capabilities follows through CE. With this enhanced clients' knowledge about IT capabilities, clients play an initiative role in designing the To-Be business processes, while consultants play a supporting role by introducing best practices or making suggestions based on their experiences. Future research implications as well as practical implications are also discussed.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.592-606
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• 2021

This study examines the impact of knowledge management strategies and knowledge management determinants for each type of knowledge management of a company on knowledge activities, and because each company's situation and conditions are different, it is necessary to approach each knowledge management type. The analysis was conducted using the SPSS 18.0 program targeting 81 companies that have introduced knowledge management systems or knowledge management by categorizing them into technology-oriented and combined types. The result is that Initial types are based on changes in organizational structure and active adoption of information technology, and the Organizational knowledge centers use management systems (CEO support, performance compensation system, education and training system) and infrastructure building and information technology to maximize individual knowledge. The Information technology-oriented types rely more on information technology such as infrastructure building and information technology use rather than organizational knowledge. and the Combination type is understood as an educational and training system and decentralized organizational structure for the overall expansion of the organization. Through this study, effective and significant strategies, knowledge management determinants, and knowledge activities for each type were presented.

• Asia pacific journal of information systems
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• v.16 no.4
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• pp.121-149
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• 2006

This study tries to explain how the relationship-specificity of invested assets affects E-collaboration and consequently on performance of Small and Medium Enterprises (SMEs). We classify the relationship-specificity of invested assets into four types such as business process specificity, physical asset specificity, domain knowledge specificity, and site specificity. We define E-collaboration as composed of Electronic Information Sharing (EIS) and Electronic Cooperation (E-Co). In addition, we articulate firm's performance as operational and strategic one, and investigate the impacts of EIS and E-Co on its performance. The data were collected from 187 SMEs and used for analysis. Based on the survey results, we find the following: (1) EIS is directly influenced by business process specificity and physical asset specificity, (2) E-Co is affected by site specificity and domain knowledge specificity, (3) EIS has a positive and significant impact on E-Co, (4) EIS affects firm's operational performance, (5) E-Co influences on firm's strategic performance. In conclusions, the higher the level of EIS, SMEs seem to get greater operational performance, Respectively, the higher the level of E-Co, they tend to get greater strategic performance.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.1338-1343
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• 2003

Data is the expression of the language or numerical values that show some characteristics. And information is extracted from data for the specific purposes. The knowledge is utilized as information to construct rules that recognize patterns and make decisions. Today, knowledge extraction and application of the knowledge are broadly accomplished to improve the comprehension and to elevate the performance of systems in several industrial fields. The knowledge extraction could be achieved by some steps that include the knowledge acquisition, expression, and implementation. Such extracted knowledge can be drawn by rules. Clustering (CU, input space partition (ISP), neuro-fuzzy (NF), neural network (NN), extension matrix (EM), etc. are employed for expression the knowledge by rules. In this paper, the various approaches of the knowledge extraction are examined by categories that separate the methods by the applied industrial fields. Also, the several test data and the experimental results are compared and analysed based upon the applied techniques that include CL, ISP, NF, NN, EM, and so on.

• 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.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.487-492
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• 2011

As a knowledge-based economy is emerging, knowledge management (KM) is being rapidly disseminated in both academic circles and the business world. Accordingly, how to effectively manage knowledge is vital to the survival and advance of a company, particularly in project-based industries such as construction. For these reasons, construction companies have adopted IT-based Knowledge management systems (KMS), which is the technology platform and infrastructure that an organization employs to support knowledge management. However, many construction companies have spent resources on developing a KMS that only focus on codification. Furthermore, small and medium-sized companies have limited resources to afford extensive investments. This research addresses the problems found in the current KMS and develops a web-based construction knowledge management portal (CKMP). To achieve these objectives, a case study is conducted and requirements for implementing KM are identified. Based on the identified requirements, this paper builds CKMP using Expert Index (EI), blog, ontology based knowledge retrieval, and wikiblog. The most important functionality of CKMP is their fundamentals to synchronize and support KM process. In order to validate the CKMP, a pilot test with actual users is conducted, and the usability of the system is compared with the current systems. This study is relevant to both the construction industry and academia, as it provides a means of enhancing the performance of KM.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.125-136
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• 2021

Innovation is essential for the survival of a company in the fierce competitive environment of the global era of borders along with rapid technological development and changes from the environment. It is very important to secure your own competitive advantage. In this study, the relationship between internal R&D capability and organizational support as a company internal factor and external R&D capability, external knowledge search, and absorptive capability as a company external factor on performance was examined. As a result of the analysis, it was found that internal R&D capability, organizational support, and external knowledge search had a significant effect on absorptive capability, and innovation performance had a positive effect on new product performance. However, the mediating effect of absorptive capacity has not been verified, suggesting that absorptive capacity has a low correlation between innovation performance and new product performance, or that other important factors act between absorptive capacity and performance variables. The results of this study are expected to be utilized as useful guidelines when establishing R&D strategies in companies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.9
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• pp.174-185
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• 2018

This study was conducted to explore the levels of Middle East Respiratory Syndrome (MERS)-related knowledge, attitudes and preventive behaviors performance and to identify predictors of MERS-related preventive behaviors performance among clinical practice students in a tertiary hospital. The participants were 480 nursing and medical clinical practice students. Data collection was conducted using self-reported questionnaires in June of 2015 and were analyzed using descriptive statistics, independent t-tests, one-way ANOVA, and hierarchical regression using the SPSSWIN 24.0 program. The MERS-related knowledge (9.56 out of 13 points) was high, attitudes towards MERS, such as severity cognition and prevention about MERS was positive (4.15 out of 5 points), and MERS-related preventive behaviors performance level was moderate (3.02 out of 5 points). Female students, having education experience regarding MERS, taking vaccination for influenza H1N1 infection in the last year, having the intention of taking influenza H1N1 in the current year, having fear of MERS infection, higher knowledge and more positive attitudes about MERS were predictors of better MERS-related preventive behaviors performance. These results show that general characteristics associated with MERS-related preventive behaviors performance should be considered to improve preventive behaviors of clinical practice students. Furthermore, this study highlights the need to develop effective and useful MERS education programs that provide essential knowledge and attitude about MERS that clinical practice students must acquire to promote the MERS-related preventive behaviors performance.

• The Journal of Information Systems
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• v.16 no.1
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• pp.179-200
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• 2007

In this research, we study how task and KMS fit influences on KMS performance in large corporations during its practical use. Based on the task-technology fit theory and information system success model, we developed a research model by considering the characteristics of KMS for supporting tasks. We try to verify how individual traits, task traits, and KMS Units affect task-KMS fit and how task KMS fit influences on KMS performance. We surveyed 212 employees who were using KMS and working for the large-sized manufacturing firms. We analyzed the collected data from LISREL 8.54 for Windows, and found the following significant results. First user satisfaction is increased when KMS provides knowledge to help to perform task rather than KMS' functionality. Second, user satisfaction is increased when KMS is suitable for performing task Hence, we verified task-KMS fit is an antecedent of user satisfaction. Third, task-KMS fit and user satisfaction have significant impacts on KMS performance. And user satisfaction affected more heavily on KMS performance than task-KMS fit did. As a result, we realized an individual performance can be improved when task KMS fit is high and, consequently, user satisfaction is increased. Forth while the usefulness of task-KMS fit is demonstrated, causal factors such as individual traits, task traits, and KMS traits significantly affect task-KMS fit. Formalization and knowledge trait we significant in enhancing user satisfaction, but KMS self-efficacy, autonomy, md system trait are not. These results indicate that task-KMS fit variable is useful as a measure of KMS performance as well as that of user satisfaction. Based on these results, we conclude that when KMS supports task activity, performance can be significantly improved by coordinating the task with KMS.