導入決策支援系統於大學圖書館

Building Decision Support System for Academic Library

邱莉媛(Li-Yuan Chiu) ； 江玉婷(Yu-Ting Chiang) ； 黃乾綱(Chien-Kang Huang)

《大學圖書館》 18卷2期 (2014/09) Pp. 141-165

https://doi.org/10.6146/univj.18-2.07

摘要

為最佳化圖書館統計資料之利用分析，本文探討如何以決策支援系統導入圖書館。系統建構主要工作有三大重點：首先希望以自動化的數據介接，逐步代替人工登錄統計數據；利用各項數據產出圖書館績效指標，幫助管理者對整體發展政策或特定資源之分配，有量化數據與初步分析指標可以參考；使用者介面以圖形化方式即時呈現資料，更可直觀地反映讀者使用行為與各類資源使用情況。系統收集量化數據後，引入國際評鑑資料及排名，與國際標準接軌，績效指標資料可以進一步做更深入的智慧化運用。圖書館評鑑導入決策支援系統，期能達成統計自動化、評鑑數據化、資訊視覺化，並逐步邁向標準國際化與系統智慧化。

關鍵字

決策支援系統 ； 圖書館統計

並列摘要

In order to maximize the benefit of library statistical analysis, National Taiwan University Library utilizes Decision Support System for library assessment. First of all, we propose the automatic data collection and analysis instead of manual statistical data collection. Secondly, calculating library performance indicators by reference to a variety of data provides decision makers with quantitative data and preliminary analytical results which are useful for policy development and resources allocation. Thirdly, data could be displayed in graphic forms on a timely basis therefore user behavior and resources utilization can be directly perceived. What is more, with the quantitative data being collected, the system is able to cite worldwide assessment publications and rankings in order to be in accordance with international standards. Furthermore, these performance indicators can be used in intelligence approaches. In conclusion, we expect that the utilization of Decision Support System for library assessment will help us to obtain automatic statistics collection, quantitative assessment, and information visualization, to meet international standard and ultimately to establish an intelligent system.

並列關鍵字

decision support system ； library statistics

參考文獻

童敏惠(2009)。從投資報酬觀點檢視大學圖書館的服務績效。大學圖書館。13(1)，107-122。

教育部（2004）。大學圖書館設立及營運基準（台高（四）字第0970018494C 號）。檢自http://edu.law.moe.gov.tw/LawContent.aspx?id=FL031322

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Association of Research Libraries. (2014). StatsQUAL. Retrieved February 27th, 2014, from http://www.arl.org/focus-areas/statistics-assessment/statsqual