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題名:知識互補建構過程分析-以技術知識與顧客知識為例
作者:姚成彥 引用關係
作者(外文):Yao, Chen Yen
校院名稱:國立政治大學
系所名稱:科技管理研究所
指導教授:吳思華
尚孝純
學位類別:博士
出版日期:2009
主題關鍵詞:知識互補創新知識互動技術知識顧客知識Knowledge complementarityBusiness innovationKnowledge interactionTechnological knowledgeCustomer knowledge
原始連結:連回原系統網址new window
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在快速變動的環境下,全球企業致力於持續創新以維持競爭優勢。創新是不同知識重組的過程。技術知識與顧客知識成為建構知識互補,達到創新的重要因素。過去的研究著重於測試互補效果的存在以及對於結果的影響。然而,針對知識互補的過程缺乏詳細的瞭解。本研究的目的即希望經由瞭解技術知識與顧客知識如何互補達到創新的過程,對於知識互補建構完整的概念。本研究包含兩個研究問題: (1) 如何定義兩種組織知識(技術知識與顧客知識)的知識互補?(2) 組織如何管理知識互補(技術知識與顧客知識)以達到創新?
本研究經過反覆的文獻探討及深度個案訪談後,將知識互補定義為一種狀態,當某一種知識提供另外一種知識的缺乏,經過知識互動後增加為了達到某個特定目的的全部價值。此外,建構知識互補過程開始於察覺為了達到某個特定目標知識的不足,進而確認另一種知識來補足它。經過知識互動後,互動的深度及廣度有所變化,兩種知識可能逐漸增加或產生知識質變而達到創新。
本研究基於文獻探討及個案分析的結果提出五個命題。命題主要是針對知識互補的過程、階段及不同類型的知識互補進行探討。本研究發現知識互補有三種型態:基礎性互補、突現性互補及機會性互補。
本研究利用動態觀點分析研發及業務部門知識互動情形,進而瞭解組織建構知識互補的過程。這種過程導向的研究不僅發現知識互補的存在,更進一步解釋知識互補的建構過程。組織可藉由動態管理知識互動以建構知識互補的過程,來達到持續創新的目的。本研究著重於知識本身,知識互補的概念、流程及型態對於創新及知識管理提供未來進一步研究的基礎。
Global enterprises are currently engaged in continuous innovation to compete and sustain themselves in the dynamic changing market. The development of innovation is a process of novel combination of different kinds of knowledge. Both technological and customer knowledge have been identified as crucial for building knowledge complementarity for delivery of innovation. Researches have examined the existence of complementarity between inputs and the effect of output. Nevertheless, detailed understanding of the process of knowledge complementarity development is still lacking. The objective of this study is to develop a complete concept of knowledge complementarity with a thorough understanding of how technological knowledge complements customer knowledge in the process of adaptation and innovation. There are two research questions, as follows. (1) How can we define knowledge complementarity between the two kinds of organizational knowledge (technological knowledge and customer knowledge)? (2) How do organizations manage knowledge complementarity between technological knowledge and customer knowledge for innovation?
Through iterative analyses of the existing literature and examination of empirical data, this study clarifies the definition of knowledge complementarity as a situation in which one source supplies knowledge that another source lacks, thus increasing the total value for achieving a specific purpose through knowledge interaction.
The process of building knowledge complementarity starts with sensing the insufficiency of knowledge for a specific goal and identifying sources that can satisfy the deficiency. Then, through knowledge interactions, the scope and depth of the knowledge of the interactive parties are increased and evolved, resulting in an increased innovative value for the specific purpose.
Based on the literature review and observation of case studies of T Probe Card and Cyber Software, five propositions were formulated. These propositions concern the sequences of the process of knowledge complementarity and different types of knowledge interaction for knowledge complementarity. The three types of knowledge complementarity identified are: infrastructural complementarity, emergent complementarity, and opportunity complementarity.
In different to the static view to examine the relationship between knowledge management variables, this study uses a dynamic view to understand knowledge interaction between R&D and sales department in the process of building knowledge complementarity. This process-oriented study not only examines the existence of complementarity but also provides the explanation for "how" something happened and the sequence of events leading to the outcome. Rather than placing focus on the interactive activities, the underlying point of this study is on the knowledge itself. Operationalizable indexes of the scope and depth of knowledge interaction have been clearly developed for the purpose of examining knowledge interaction and their interplay in different types of knowledge complementarity. The concept, process and distinctive types of knowledge complementarity provide essential input to innovation and knowledge management. Organizations intent to build sustained innovation capability could benefit from this study by dynamically managing knowledge interactions for complementarity of different purposes.
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