以二十五年的科技管理學刊描繪台灣科技管理學術社群

Analyzing Twenty-Five Years' Journal of Technology Management for Understanding Technology Management Research Community in Taiwan

台灣科技管理學術社群屬於跨領域研究範疇，其具有跨領域性、異質性、整合性、與科技產業共同演化的特性。國內探討科技管理研究社群之相關文獻甚少，且其跨領域知識發展的歷程與參與知識生產之科技管理學術社群有著密切關係，故本研究旨於分析科技管理學術社群之知識網路，期望透過揭示科技管理學刊之知識網路結構，以完整呈現科技管理學術社群之多元知識發展，其中包含學者社群、大專院校系、核心概念等網路。本研究針對科技管理學刊之所有發表文章，使用書目計量學與社會網路分析法進行資料蒐集與分析，根據學者過去在科技管理學刊所發表之期刊論文，分別使用關鍵字共現與作者合著網路分析進行資料處理，進一步使用社會網路進行大學校系網路分析、學者網路分析、關鍵字分析，以獲致科技管理學術社群二十五年來在我國發展出之知識網路。將網路節點分類為大學、系所、作者與關鍵字，可將之分作四個網路群體進行觀察，本研究發現科技管理學術社群除領域內交流之外，系所與大學間聯繫亦相當頻繁，此現象說明科技管理學術社群之知識互動乃是建立在研究主題與議題之上，不僅侷限於相同學科背景內部。本研究結果顯示，科技管理學術社群之網路連結密度偏低，並且存在核心人物發揮凝聚網路之社群影響力，此為跨領域學術社群內異質性成員交流溝通之重要凝聚基礎。

Taiwan's research community of Technology Management is featured by its interdisciplinarity, heterogeneity, integrity, co-evolution high-tech industry. The research community of Technology Management in Taiwan has been barely investigated, the role played by this community helps develop technology management knowledge critically influencing the trajectory of interdisciplinary knowledge development. Therefore, this study aims to understand the knowledge network developed in Taiwan's technology management research community by analyzing the network structure of knowledge developed in the Journal of Technology Management. The network structures with university, department, scholar, keyword as network actors provide a channel to understand knowledge developed in Taiwan's Technology Management community from multiple perspectives. This study analyzed papers published in the Journal of Technology Management through collaborative relations of university, department, scholar, as well as keyword co-occurrence. The results show that extensive research interaction occurred between different universities or departments. Such cross-universities or cross-department research collaboration facilitate topic-based researches underpinned by interdisciplinary research capabilities. It can also be observed that density of Technology Management knowledge network is relatively low and several core scholars considerably influence the formation of knowledge network. All of these characteristics are served as the bases for interactions among Technology Management community members with heterogeneous knowledge backgrounds.