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支援技術與諮詢服務供應者營運之業務建議與個人化知識提供模式
Dissertation

支援技術與諮詢服務供應者營運之業務建議與個人化知識提供模式

楊士霆
Doctor of Philosophy (PHD), 國立清華大學, 工業工程與工程管理學系
2006

Abstract

知識管理 PDA 個人特質探勘 技術移轉 技術研發 Knowledge Management PDA Profiling Technical Transfer Technology Development
For most SMEs (Small and Medium-Sized Enterprises, SMEs) in Taiwan, in order to reduce the R&D (Research and Development, R&D) investment, the technology and service providers (TSPs) are required to provide technical services. Owing to high variety of industry development, the TSPs are dedicated to development of applied technologies. The operation purposes of TSPs are to provide customized services and technologies that meet the various client requirements and to improve capability of their clients via various projects. Previously, the technology development strategies are determined by domain experts or sales through trials and errors. However, the project history is usually too complicated for R&D engineers and sales to utilize for business promotion. Concerning operation characteristics of TSPs, this research develops technology mining, critical customer mining and profiling models based on the project history and user profiles. The proposed technology mining model focuses on exploring technologies with higher client demands and significant R&D returns so that the TSPs can effectively expand and continue their business. In the critical customer mining model, customers are clustered into critical and non-critical customers and the features of critical customers are extracted. By application of critical customer mining model, the TSPs can efficiently target the critical and potential customers. Furthermore, based on the profiling technique, the PDA (Personal Digital Assistant, PDA) ready knowledge and sales suggestions that fits user requirements is imported to the PDA through the personal computer. In addition to the proposed methodologies, a Web-based system, namely business information management system, is developed to evaluate the feasibility of the proposed models and techniques. As a whole, by application of the technology mining, customer mining and profiling models, effective R&D and sales suggestions (i.e. technology development and potential customer suggestions) and intelligent mobile KM (Knowledge Management, KM) technique can be provided to the TSPs for accurate business promotion.

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