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題名:技術關鍵人員流入對知識創新和知識相依的影響
作者:蔡淑美
作者(外文):TSAI, SHUMEI
校院名稱:國立臺北大學
系所名稱:企業管理學系
指導教授:陳銘薰
學位類別:博士
出版日期:2007
主題關鍵詞:知識相依知識創新人員流動路徑相依知識移轉資源基礎InnovationKnowledge DependenceEmployee TurnoverPath DependenceKnowledge TransferResouce Based View
原始連結:連回原系統網址new window
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挖角行為一直盛行於所有產業,雖然聘僱同業精英人才的作為被視為有助於組織績效,但一直缺少實證研究加以證實。本研究旨在探討聘僱同業技術關鍵人員能否成為改變廠商技術軌跡和提昇知識創新的手段;並進一步探討流入人員的來源背景差異和數量,對知識相依和知識創新的影響程度和限制。
本研究以台灣和美國半導體廠商為研究對象,運用美國專利商標局之專利資料庫1976-2006年的專利資料作為資料來源,以負二項迴歸進行實證分析。研究結果顯示,
1.聘僱同業技術關鍵人員有利於知識創新績效。流入技術關鍵人員的來源不會影響知識創新績效,但流入人數與創新績效間的關係呈倒U型曲線關係。
2.聘僱不同來源的同業技術關鍵人員可以降低流入廠商的知識相依程度,但是隨著人數的增加,知識相依程度上升的幅度比降低的幅度更大。
在管理意涵上,本研究證實人力資源是有力的競爭武器,挖角策略可以作為廠商提昇創新績效和改變技術軌道的良好手段。
Employing the talent from competitors is regarded as the useful strategy to acquire additional performance, but there is little evidence to prove it. This paper examines the possibility that employing key technologists from other firms in the same business would enchance the innovation and impact the technology trajectory, especial focus on the background and number of employed technologists. This study is aimed at semiconductor firms in USA and Taiwan that hired inventors from their competitors. The results are based on 1976-2006 patent data from U.S. Patent and Trademark Office patent database and statistical findings from negative binomial regressions.
This study demonstrates that the firms performed better when they hired the inventors from competitors. But the performance of innovation and the number of raided inventors are related in curvilinear owing to potential beneficial effects of mobility at moderate levels.This study also shows that the hiring firm is less knowledge dependence when the background of flow-in inventors are more variant, but the rate of knowledge dependence speeds quicker than the number of technologists employed.
This results support the idea that mobility is a useful tool to enchance the performance of innovation. When hiring-to-innovation is applied, the number and quality of target human resource should match the future direction of knowledge trajectory and strength of inertia.
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