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研究生: 江宗達
研究生(外文): Tsung-Ta Chiang
論文名稱: 知識入口網採用之因素分析-以農業知識入口網為例
論文名稱(外文): Factor Analysis of Knowledge Portal Adoption:A Case of COA KMS
指導教授: 董信煌
指導教授(外文): Shing-Hwang Doong
學位類別: 碩士
校院名稱: 樹德科技大學
系所名稱: 資訊管理系碩士班
論文出版年: 2011
畢業學年度: 99
語文別: 中文
論文頁數: 65
中文關鍵詞: 知識管理、科技接受模式、計畫行為理論
外文關鍵詞: Knowledge Management, technology acceptance model, theory of planned behavior
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  進年來農業導入知識管理的概念,主要目的是要整合農業既有的核心知識與競爭優勢,利用資訊與網路使知識傳播、傳承及運用更快、更容易,並與其他因素結合提高知識應用價值。農業知識管理系統的使用將影響未來農耕技術的傳承。
  科技接受模式(TAM)主要是以技術的角度,透過認知有用性(PU)及認知易用性(PEOU)兩構面來預測使用行為,而計畫行為理論(TPB),廣泛用來預測及說明人類行為,其理論同時考量到個人、組織成員的角色及社會環境制度。本研究模型以科技接受模式結合計畫行為理論的主觀規範(SN)及行為控制認知(PBC)可以更完整的驗證農業知識入口網的使用情況。


    Recently, knowledge management (KM) has been introduced to the agriculture industry to improve the overall competitiveness by integrating core agriculture knowledge. Using information and communication technologies, KM can deliver knowledge, experiences and practices to needed entities faster and easier in order to increase the application values of knowledge. How a KM system is being used will no doubt affect how agriculture technologies will be transcended in the future.
    Technology acceptance model (TAM) predicts individuals’ usage behavior of technology by using perceived usefulness and perceived ease of use. The theory of planned behavior (TPB) has been widely used to explain human behaviors (not necessarily in the technology domain) by using personal attitudes, subjective norms (SN) and perceived behavioral control (PBC). This study combines TAM and TPB (in particular, the SN and PBC constructs) to propose a research model, which is empirically tested for a knowledge portal system from the Council of Agriculture


摘要  I
ABSTRACT  II
誌謝  III
目錄  IV
表目錄  VII
圖目錄  IX
第一章 緒論  1
1.1 研究背景  1
1.2 研究動機  2
1.3 研究目的  4
1.4 研究流程  4
第二章 文獻探討  6
2.1 知識管理系統相關文獻  6
2.1.1 知識的定義  6
2.1.2 知識管理的定義  8
2.1.3 知識管理系統的定義  10
2.1.4 農業知識入口網簡介  10
2.2 理論基礎  11
2.2.1 科技接受模式(TAM)  11
2.2.1 計畫行為理論(TPB)  13
第三章 研究模式與假說推導  15
3.1 研究構念與研究模型  15
3.2 研究假說  15
3.3 研究變項與操作性定義  17
3.4 研究設計  18
3.4.1 問卷設計  18
3.4.2 研究對象及問卷進行方式  19
3.4.3 分析方法與工具  19
第四章 資料分析  21
4.1 整體母體樣本  21
4.1.1 敘述性統計分析  21
4.1.2 建構效度-因素分析  23
4.1.3 信度分析  24
4.1.4 結構線性塑模  25
4.2 區域分類萃取樣本  26
4.2.1 北北基區域分類樣本  26
(1) 敘述性統計分析  26
(2) 建構效度-因素分析  27
(3) 信度分析  28
(4) 結構線性塑模  29
4.2.2 桃竹苗區域分類樣本  30
(1) 敘述性統計分析  30
(2) 建構效度-因素分析  31
(3) 信度分析  32
(4) 結構線性塑模  33
4.2.3 中彰投區域分類樣本  34
(1) 敘述性統計分析  34
(2) 建構效度-因素分析  35
(3) 信度分析  36
(4) 結構線性塑模  37
4.2.4 雲嘉南區域分類樣本  38
(1) 敘述性統計分析  38
(2) 建構效度-因素分析  39
(3) 信度分析  40
(4) 結構線性塑模  41
4.2.5 高高屏區域分類樣本  42
(1) 敘述性統計分析  42
(2) 建構效度-因素分析  43
(3) 信度分析  44
(4) 結構線性塑模  45
4.2.6 宜花東區域分類樣本  46
(1) 敘述性統計分析  46
(2) 建構效度-因素分析  48
(3) 信度分析  48
(4) 結構線性塑模  49
4.3 萃取小樣本  50
4.3.1 敘述性統計分  50
4.3.2 建構效度-因素分析  52
4.3.3 信度分析  53
4.3.4 結構線性塑模  53
4.4 綜合討論  54
第五章 結論與建議  56
5.1 研究結論  56
5.2 研究建議  56
5.3 研究貢獻  57
5.4 研究限制與未來研究方向  58
參考文獻  59
附件一 問卷樣本  64



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