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題名:衡量現有知識對知識創造與知識創新流程的影響模式
作者:迪米
作者(外文):Dmytro Korposh
校院名稱:中華大學
系所名稱:科技管理博士學位學程
指導教授:李友錚
魏秋建
學位類別:博士
出版日期:2011
主題關鍵詞:知識管理知識創造知識複雜度知識等級知識環繞模式化Knowledge managementknowledge creationknowledge complexityknowledge levelknowledge spiralmodeling
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技術的發展和不斷變化的市場需求加劇了組織間的競爭,並迫使企業採取更好的管理方法來改善營運績效與賺取利潤。知識管理已廣泛地被認為是一種可以達到上述目標的有效方法。知識管理也因此獲得經理人、學者與實務界的普遍關注。之前知識管理的研究者主要著重在定性方法的探討,而且大多數強調知識管理的關鍵成功因素,例如資訊技術架構、知識管理系統設計、激勵方案使用、資訊技術與人的互動與組織文化等。 在這些當中的主要研究與討論,都環繞在社交網路、外部連繫與內部溝通。 然而,早期研究只有揭露出必要的知識管理週期現象,主要目的也只在於收集組織可用的知識,以近一步印證於類似的情況而已。這些就是眾所皆知的經驗教訓。然而重複運用已存在的知識早已不能夠滿足組織的目標。為了組織的發展與產品與服務的改善,新的知識必須被持續發展出來。所以,創造新知識對組織而言是一件非常重要的事情。定量方法才可以發掘現有知識是如何創造新知識和提升現有知識。為了彌補這個缺口,本研究提出一個數學模式,可以量化現有知識對創造新知識的影響,並且幫助管理階層規劃和衡量新知識如何創造,模式應用到的參數包括綜合指數,突變指數,知識創造能力,對他人的知識需求,分享能力,學習能力,距離,不同領域的知識和不同等級的知識等等。本研究所提模式從複雜度(知識種類/知識領域) 和深度(知識等級)來評估知識,從案例的結果證明本模式可以有效評量現有知識對知識創造的貢獻度。
Advancing technologies and constantly changing market needs induce competition between organizations and force enterprises to adopt better management methods to improve operational performance to survive and make profits. Knowledge management has been widely recognized as one of the effective methods to achieve the above objective. Knowledge management attracts attention of managers, researchers, scholars, and practitioners. Previous researches of knowledge management chiefly focused on qualitative approaches, and largely stressed key success factors of knowledge management, such as the infrastructure of information technology, the design of the knowledge management system, deployment of motivation schemes, interaction between IT and people, organizational culture and the like. Among them, the knowledge spiral of socialization, externalization, connection and internalization are the core of researches and discussions. However, early studies only disclosed the necessary cyclical phenomenon of knowledge management. Main approaches are aimed at collection of knowledge available to the organization and its further implementation in analogical situations. These approaches are known as lessons learned. Though reusing of existing knowledge is not always enough to fulfill organization’s goals. New knowledge is needed for the organization’s development and product/service improvement. Therefore the creation of new knowledge is vital to the organization. A quantitative method revealing how the existing knowledge can support the creation of new knowledge or upgrade current knowledge remains nonexistent. To bridge this gap, this study proposes a mathematical model which can quantify the supporting effects of the existing knowledge on the creation of new knowledge, help managers to plan and to measure the outcome of new knowledge created based on the factors of combination index, mutation index, knowledge creation ability, knowledge needed from others, ability to share, ability to learn, physical distance, difference of knowledge areas and difference of knowledge levels. The model evaluates knowledge from the perspectives of complexity (knowledge type/knowledge area) and depth (knowledge level), and the results of the example illustrate that the proposed model can be an effective method of measuring the usefulness of the existing knowledge.
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