整合相對效率與準則權重之觀點於圖書館電子資料庫使用效益分析 A Study on Using Performance of Electronic Databases with Combination of Relative Efficiency and Criteria Weighting Perspectives

Abstract

過去圖書館績效評估之研究多以探討其實體資源利用為主，然網路普及化，致使現今圖書館對電子資料庫的需求與投入與日俱增，績效評估也更顯重要。本研究應用可同時評估多項投入產出之資料包絡分析法，並導入模糊層級分析求取各投入產出項之相對權重，以進行某軍事學校圖書館2011-2012年所購買電子資料庫之使用績效評估。結果發現，造成整體技術無效率之原因，來自純技術之管理無效率；生產力變動部分，發現ASME等三個資料庫呈現衰退趨勢，分析原因主要為規模效率衰退所致。相較過去評量方式，本研究整合了相對效率與準則權重的概念評估模式，將可提供更多元且客觀之評估資訊予決策者參考。Past studies on library performance evaluation mainly investigate the physical resource utilization. However, the popularization of the internet has increased the deed and investment in electronic database day by day, as well as the need for assessment on the usage efficiency of electronic database. This study took a military university library for example, and used the data envelopment analysis (DEA) where multiple inputs and outputs can be concurrently assessed to introduce Fuzzy AHP to obtain the relative weights of various input and outputs, in order to assess the usage performance of library electronic database. This study found that the cause for the overall technical inefficiency was pure technical inefficiency. To improve the inefficiency, it is necessary to adjust the management and allocation of resources. In terms of the change in total productivity in a longitudinal aspect, a declining trend was observed in the databases, such as ASME, SDOL and EBSCO that the main cause was the decline in technical efficiency change. The research model with combination of relative efficiency and criteria weighting perspectives can be provided as reference to libraries for the practical assessment and modification of databases.

Keywords

• Performance evaluation
• Electronic database
• Fuzzy analytic hierarchy process
• Slack-based measure
• Data envelopment analysis
• 績效評估
• 電子資料庫
• 模糊層級分析
• 差額變數
• 資料包絡分析