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研究生:顏奕仁
研究生(外文):Yi-Jen Yen
論文名稱:資訊系統特性、任務特性與電腦自我效能對工作績效的影響
論文名稱(外文):The Effects of Technology Characteristics, Task Characteristics and Computer Self-efficacy on Performance
指導教授:周惠文周惠文引用關係
指導教授(外文):Huey-Wen Chou
學位類別:碩士
校院名稱:國立中央大學
系所名稱:資訊管理研究所
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:中文
論文頁數:61
中文關鍵詞:工作績效自我效能任務特性任務科技配適度資訊系統特性
外文關鍵詞:task-technology fittask characteristicstechnology characteristicsself-efficacyperformance
相關次數:
  • 被引用被引用:67
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一件任務的完成,主要受到任務執行者、任務所需工具及其他環境因素的影響。任務要成功的達成,有賴於這些因素之間良好的配合與互動。資訊系統必須滿足工作任務所需,並且被正確有效的運用,才能夠真正提升工作績效,進而對企業競爭力有所幫助。本研究以任務科技配適度理論為研究基礎,希望能夠瞭解資訊系統特性、任務特性與個人特性對工作績效所造成的影響。
任務科技配適度理論的相關研究,向來皆著重於討論任務與科技之間的配適,對於使用者與任務,或使用者與科技之間的配適關係,則較少提及。自我效能是社會學習理論的重要觀念之一,代表個人對自身能力的評價,對個人的態度與行為有相當的影響力。然而自我效能大多出現在教育學習領域的相關研究,在組織及工作績效方面,則鮮少被討論。因此本研究除了瞭解個人特性在任務科技配適理論中的重要性外,也將社會學習理論的重要概念帶入,希望能瞭解自我效能與個人工作績效之間的關係。
研究結果發現,資訊系統特性、任務特性與電腦自我效能三者對任務科技配適度都有顯著影響,而以電腦自我效能的影響力最大。在自我效能與工作績效方面,其影響力並不顯著,與過去文獻之觀點不同,仍須進一步研究探討。
目錄I
圖次II
表次III
第一章 緒論1
第一節 研究動機1
第二節 研究目的2
第三節 研究方法與問題2
第四節 論文結構與研究流程3
第五節 預期貢獻5
第二章 文獻探討6
第一節 資訊系統與工作績效6
第二節 任務科技配適度理論10
第三節 自我效能19
第三章 研究方法24
第一節 研究架構24
第二節 變數的定義與操作化25
第三節 研究假說27
第四節 問卷設計29
第五節 資料蒐集及資料分析方法29
第四章 資料分析31
第一節 樣本基本資料分析31
第二節 效度與信度檢定34
第三節 研究假說檢定41
第四節 探索性研究47
第五章 結論與建議48
第一節 研究結論48
第二節 研究貢獻50
第三節 研究限制與未來研究方向51
參考文獻53
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Thompson (1997), “Testing the Self-efficacy-performance Linkage of Social-cognitive Theory,” The Journal of Social Psychology, 137(1), 79-87.Hill, T., Mann, M. F. and N. D. Smith (1987),“Role of Efficacy Expectations in Predicting the Decision to Use Advanced Technologies - The Case of Computers,” Journal of Applied Psychology, 72(2), 307-313.Igbaria, M. and J. Iivari (1995), “The Effects of Self-efficacy on Computer Usage,” Journal of Management Science, 23(6), 587-605.Igbaria, M. and M. Tan (1997), “The Consequence of Information Technology Acceptance Subsequent Individual Performance,” Information and Management, 32, 113-121.Igbaria, M., Nancy, Z., Paul, C. and L. M. C. Angele (1997), “Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model,” MIS Quarterly, 279-302.Igbaria, M., Parasuraman, S. and J.B. Jack (1996), “ A Motivational Model of Microcomputer Usage,” Journal of Management Information Systems, 13(1), 127-143.Lent, R. W., Brown, S. D. and G. Hackett (1994), “Toward a Unifying Social Cognitive Theory of Career and Academic Interest, Choice, and Performance,” Journal of Vocational Behavior Monograph, 45, 79-122.Marakas G. M., M. Y. Yi and R. D. Johnson (1998), “The Multilevel and Multifaceted Character of Computer Self-Efficacy: Toward Clarification of the Construct and an Integrative Framework for Research,” Information Systems Research, 9(2), 126-163.Murphy, C.A., Coover, D. and S.V. Owen (1989), “Development and Validationof the Computer Self-efficacy Scale,” Educational and PsychologicalMeasurement, 49, 893-899.Schunk, D. H. (1995), “Self-efficacy and Education and Instruction. In J. Maddux (Ed.),” Self-efficacy adaptation, and adjustment: Theory, Research and Application (281-303), New York: Plenum Press.Stajkovic, A. D. and F. Luthans (1998), “Self-Efficacy and Work-Related Performance: A Meta-Analysis,” Psychological Bulletin, 124(2), 240-261.Szajna, B. 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