在知識經濟時代，科技創新競爭力，將是國家經濟發展最重要的成功關鍵因 素之一。而科技發展策略的擬定與執行，前後有相當程度的時間落差，且對未來 影響深遠，在瞬息萬變的市場競爭下，由於無法認知環境變遷要素為動態之變動 狀態，使科技發展策略之決策與動態環境變動狀態間出現時間落差，或難以預 測，導致原科技發展策略無法適時對應、效能降低。因此，本研究之目的，為分 析20 個主要先進國家跨期科技相對效率之比較，以了解它們各國科技政策與績 效。首先，採用瑞士洛桑國際管理學院(International Institute for Management Development of Lausanne, Swiss, 簡稱IMD)所提出的指標，作為本研究考量的基 準，再以最適合的資料包絡分析(Data Envelopment Analysis, DEA )模式，建構科 技發展策略投入產出效率之分析模型，並針對台灣科技發展策略執行效率加以分 析;其結果，以此作為政府資源運用與政策研擬之參考。 Decision making and practice of S&T policy are crucially for both government and private sectors, but they usually suffer from high volatility in dynamic environment of international competition. The first objective of this research is to propose the Data Enve lopment Analysis model for efficiency measuring of Taiwan S&T policy. The second objective of this research is to develop an empirically based framework for formulating and selecting Innovation Policy. The government is usually facing complex decision scenarios. Traditional decision making methods are failed to satisfy the government’s need in this regard. Thus, a hierarchy multi-criteria decision-making (MCDM) method for evaluating the Innovation Policy is proposed in this study. Finally, in order to show the practicality and usefulness of this model, an empirical study of national innovation systems are demonstrated.
