本研究從知識分享與知識整合的觀點，探索知識流的障礙，並利用概念圖呈現各障礙因子在知識流上的知識結構與因果關係，進而幫助改善知識管理的績效。本研究使用概念圖做為研究方法，主要目的是將半結構式資料或文字稿資料，轉換成結構式的資訊，更進一步地，利用圖形化介面將概念清楚地呈現，並從中找出有價值的管理意涵。本研究採用正規概念分析法(Formal Concept Analysis, FCA)做為概念圖的工具，利用FCA分析訪談逐字稿並結合知識階層圖(Knowledge Hierarchy)圖形化地呈現訪談逐字稿的概念，更進一步利用FCA找出各障礙因子的因果關係(Association Rule)，再利用Knowledge Structure Map全面地呈現所有障礙因子的因果關係。有別於以往知識流方面的研究，本研究不只提出知識流的障礙因子，並且藉由Knowledge Hierarchy和Knowledge Structure Map以動態的觀點，更全面性、清楚地表達組織知識傳遞的活動，進而改善知識傳遞的障礙因子，提升組織知識管理的績效。
此外，本研究發現FCA的確可以適當地呈現文字稿的概念並且準確地分析出概念中各因子之間的關係。結合FCA與質性研究，FCA可以協助質性研究者更全面性地考量整個研究，並且系統性而非主觀地提出有價值的研究命題，進而消除一些質性研究原本難以避免的人為誤差，改善研究品質。

This research aims to use concept mapping to discover barriers which would influence the performance of knowledge management, from the perspective of knowledge sharing and integration. The major feature of concept mapping is to transform the semi-structured or term-rich contexts to be a structured and systematic map for easy understanding and (or) focusing on; furthermore, it could help to present the visualized contexts with an essential concept, and mine the potential implication behind. Comparison with the nature of knowledge itself and knowledge flow, both of them are involved in sense making and contextual issues, thus here we adopt one of the tools for mapping the concepts - Formal Concept Analysis (FCA) to present the barriers of knowledge flow which could be considered as the influencing factors of knowledge management, to explore and generate the association rule which is general or specific for reasoning the relationship between them. In this study, we not only combined the context and content analysis but also confirm with support of FCA to redeem the deficiencies of qualitative research that are argued by academy and practice.
Furthermore, FCA supplies a suitable method for combining with qualitative research to comprehensively observe the situation and propose meaningful propositions systemically and objectively from semi-structured data. Furthermore, we can explore valuable implications from these propositions.

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