THE STUDY OF KNOWLEDGE SHARING BEHAVIOR IN R&D TEAMS

碩士論文[[abstract]]從1996年經濟合作發展組織(OECD)首先提出「知識經濟」一詞，不僅將其定義為是知識資源的擁有、配置、產生、和使用，亦認其為最重要生產因素之一，充分證明了當前對知識的重視。許多學者研究如何對知識來進行有效的管理，而這其中最為重要的課題，就是如何讓個人的知識經由分享行為來傳遞知識、吸收知識，並藉以創造新的知識。另一方面，在以知識為主的全球經濟體系下，科技創新是促進經濟成長與產業發展優勢的重要因素。因此，各國政府皆透過各種研發補助的措施來提升其國家競爭力，台灣政府也積極投入該措施，透過其對產業界、學術界、及其研發機構的補助，來幫助強化其整體競爭力。本研究以政府補助的工業技術研究院之研發團隊為主，以研發成員的認知角度為出發點，透過建立研發團隊的研發知識分享行為模式來進行研發團隊的知識分享分析，並探討政府補助的研發團隊知識分享對知識效能的影響程度。本研究調查21個研發團隊共248位工業技術研究院研發團隊的人員，並以線性結構方程式來分析該知識分享行為模式，研究結果顯示：（1）知識分享會影響知識效能；（2）知識分享受到交換記憶系統以及團隊預期產出的影響；（3）信任與網絡連結程度會影響交換記憶系統。綜上，本研究探討知識分享之相關建議，以供研發團隊知識分享之參考。[[abstract]]Organization for Economic Co-operation and Development (OECD) has first proposed the terminology of “knowledge-based economy” since 1996, defining it not only as the possession, deployment, generation, usage of the sources of knowledge, but also as one of the most significant factor of production. It has confirmed that people has paid much attention to knowledge. Many scholars have studied about effective management of knowledge, and the most important is how to transmit and absorb individual knowledge by sharing. On the other hand, technology innovation is the key point to promote the growth of economy and advantage of industry development in the global economic system in which knowledge has played an important role. Therefore, governments of many countries have promoted their competitiveness of their countries through all kinds of approaches to fund the researches. By funding industry, academy, and research and development institution, Taiwanese government also aggressively enhance its integral competitiveness. By investigating the R&D teams of Industrial Technology Research Institute of Taiwan, which is funded by the government of Taiwan, this study analyzes the sharing of knowledge of the R&D teams and scrutinizes the influence of the knowledge sharing on knowledge effectiveness. This study investigates 248 members of 21 R&D teams in Industrial Technology Research Institute of Taiwan, and analyzes members’ knowledge sharing behavior by Structural Equation Modeling. The results of this study indicate that (1) knowledge sharing affects knowledge effectiveness; (2) knowledge sharing is influenced by Transactive Memory System and team-related outcome expectation; and (3) trust and network tie affect Transactive Memory System. This study provides some implications for the R&D teams to enhance their knowledge sharing