Browsing by Author "Chen, Liang-Chu"

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Can organizational knowledge capabilities affect knowledge sharing behavior?
(2007)
Yang, Chyan
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Chen, Liang-Chu
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經營管理研究所
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資訊管理與財務金融系註：原資管所+財金所
;
Institute of Business and Management
Recent concerns about the issue of knowledge management (KM) within an organization have accentuated the need for more efficient and effective knowledge sharing - that is, knowledge sharing plays an increasingly significant role in determining the outcomes of KM. Most scholars explore this issue from the economic perspective, while only a few research studies have focussed on organizational capabilities. Drawing from the theories of resource-based view and KM, this study aims to investigate the relationship between organizational knowledge capabilities (OKC) and knowledge sharing (KS). Using regression analysis with data from questionnaires collected in different industries with a valid response rate of 62.4%, the results show that OKC have a positive association with KS. Technical, structural, and human knowledge capabilities are significant for organizational knowledge sharing. Moreover, the effects of implementing KM on OKC and KS are also significant.
Developing and evaluating an IT specification extraction system
(2006)
Yang, Chyan
;
Chen, Liang-Chu
;
Peng, Chun-Yen
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經營管理研究所
;
資訊管理與財務金融系註：原資管所+財金所
Purpose - This paper seeks to establish an extraction system for an information technology (IT) product specification named ITSIES which combines the natural language process (NLP) with the ontology concept and also to evaluate the system's effectiveness in advance. Design/methodology/approach - The development of the system is based on a prototype design and performance validation. This study adopts four classes of IT specification (PC, Unix server, Monitor, and Printer) that follow IBM's and HP's product lines as the baseline information in order to construct the extraction system in GATE (General Architecture for Text Engineering) tools and to examine the IT product specification with other brands and patterns. Additionally indices are adopted such as precision, recall, and F-measure as the matrices for evaluating system performance. Findings - The performance shows that the average recall, precision, and F-measure are all over 90 per cent, revealing that the JAPE (Java Annotation Patterns Engine) grammar rules in the IT domain are reasonably good and generally in line with expectations. Originality/value - The paper proposes an integrative framework to examine IT product specification information and demonstrates that the system is effective for IT application.