本篇研究主要討論知識管理因素對合資企業的不穩定性。知識管理是一個動態和連續的流程，包含了知識創造、知識轉移、與知識應用。此外，幾何布朗運動模型的概念被用來描述知識轉移：合資企業的隨機學習行為。本篇研究證明知識管理架構對合資企業不穩定性的預測力，也證明了兩調節變數：母公司的直接競爭性和合資企業產業的出貨量增長量，對主要效果的影響。本研究構建了一個獨特的數據庫來衡量合資企業的知識變化過程，利用加權專利被引證數作為知識的代理變數，並收集電子產業1996至2000年123合資企業與其知識變數相關資料。本研究比較了兩種模式來討論知識管理對合資企業的不穩定影響。首先，是無需考慮合資企業存活時間長短的羅吉斯迴歸。其次為考慮了時間因素的加速失敗時間模型。本研究證明出後者具有較佳的解釋能力。本篇研究的管理意涵為母公司知識管理有效性會將影響合資企業的持久性。

The focus of the following empirical analysis is the influence of knowledge management framework on dissolution of joint ventures (JVs). Knowledge management in this study consisted of a dynamic and continuous set of processes, knowledge creation, knowledge transfer, and knowledge application. In addition, the concept of Brownian motion is used to describe knowledge transfer, the stochastic learning behavior in a joint venture. This study demonstrated knowledge management framework is appropriate to predict the instability of joint ventures, and also proved the two competitive factors, direct competition of parent firms and the shipment growth of joint venture’s industry as moderators to regulate the main effects. This research constructed a unique database to measure the knowledge process of joint ventures, used citation weighted patents number as the proxy of knowledge, and collected 123 joint venture cases in electronics industry with knowledge data from 1996 to 2000. Two models are developed and compared to discuss the effects of knowledge management to the instability of IJVs. The logit regression model is used first, which without considering the age of joint ventures. And then accelerated failure time model is employed, which considered the time factor and was proved that it’s a better explanatory power than logit regression model. A managerial implication of the findings is knowledge management effectively from parent firms could influence a joint venture’s persistent.

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