探討影響讀者推薦系統滿意度之因素: 以建立圖書館讀者社群為例

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姓名

陳佳玲(Chia-ling Chen) 查詢紙本館藏

畢業系所

資訊工程學系在職專班

論文名稱

探討影響讀者推薦系統滿意度之因素: 以建立圖書館讀者社群為例
(Investigating the factors influencing the satisfaction of reader recommendation system: An example of building reader’s communities of practice in libraries)

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摘要(中)

由於Web 2.0的興起，締造出Library 2.0圖書館服務的風潮,因此圖書館的服務已不應只是僅僅提供圖書借閱的服務而已，更重要的是，如何為這群借閱者形成讀者社群，並進一步的透過此社群進行知識的分享，有基於此，本研究透過讀者在圖書館的借閱記錄中去探勘出相同領域的讀者，並推薦給讀者去形成讀者社群，因此本研究的目的在探討讀者在使用讀者推薦系統服務後對此系統的整體滿意程度是否為正向影響，其研究變項分為五個部份，分別為知識分享態度、系統品質、資訊品質、服務品質以及推薦系統滿意度。本研究的實驗對象為某大學願意提供及公開個人借閱記錄並參與實驗的教職員及學生。

摘要(英)

A trend of Library 2.0 service was created because of the thriving of Web 2.0. Therefore, library service should not be limited to lending service only; more importantly, it should help readers to form reader communities and further conduct knowledge sharing through the communities. Based on this theory, this study investigated readers of the same fields by examining their circulation records. The results will be recommended to the readers for creating reader communities.The purpose of this study is to examine whether readers’ overall satisfaction towards this recommendation service is positive after using it. Its research variables were divided into five parts; that is, knowledge sharing attitude, system quality, information quality, service quality and satisfaction survey for evaluating the recommendation system. The participants in this study are the school faculty and students from a domestic university; they are willing to provide and make their personal circulation records public. The data and their personal circulation records in the Library system were officially granted by the university with permission.

關鍵字(中)

★ 借閱記錄
★ 推薦系統
★ Library 2.0
★ 知識分享
★ 資訊系統

關鍵字(英)

★ information system
★ loan record
★ recommendation system
★ Library 2.0
★ knowledge sharing

論文目次

摘要 IV
ABSTRACT V
誌謝 VI
目錄 VII
圖目錄 IX
表目錄 X
第一章、簡介 1
第二章、相關研究 3
2.1 知識分享 3
2.2 Library 2.0 3
2.3 實踐社群 5
2.4 推薦系統 6
2.4.1 推薦系統的方法 6
2.4.2 協同式過濾的相關應用 6
2.5 使用者滿意度 8
第三章、研究方法與解決方法 10
3.1 研究問題 10
3.2 研究模型與假設 11
3.3 解決方法 11
3.3.1 個人借閱記錄 11
3.3.2 讀者和讀者間的關係 13
3.3.3 向量空間模型(Vector Space Model) 13
3.4 演算法 14
.4.1 相似度比對(Similarity Match) 14
第四章、系統設計與應用 16
4.1 系統架構 16
4.2 系統展示 18
第五章、實驗方法 24
5.1 資料收集 24
5.2 問卷設計 24
5.2.1評量問卷的信度 24
5.2.2評量問卷項目內容 24
第六章、資料分析與結果 28
6.1. 基本資料分析 28
6.2. 信度分析 28
6.3. 相關分析 31
6.4. 迴歸分析結果 32
第七章、結論 33
7.1 研究結論 33
7.1.1知識分享態度對讀者推薦系統滿意度有正向影響 33
7.1.2系統品質對讀者推薦系統滿意度有正向影響 33
7.1.3資訊品質對讀者推薦系統滿意度有正向影響 34
7.1.4服務品質對讀者推薦系統滿意度有正向影響 34
7.2 研究限制與挑戰 34
7.2.1 研究限制 34
7.2.2 研究挑戰 34
7.3 未來研究方向 35
參考文獻 36
附錄 39

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指導教授

楊鎮華(Stephen J.H. Ynag)

審核日期

2009-7-8

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