學術產出-Theses

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

  • No doi shows Citation Infomation
題名 臺北市政府消防局推行差勤電子表單系統之研究─ 科技接受與使用整合理論的觀點
Electronic form system of staff’s attendance in Taipei City fire department-perspective from unified theory of acceptance and use of technology
作者 郭芷均
Kuo, Chihchun
貢獻者 蕭乃沂
Hsiao, Naiyi
郭芷均
Kuo, Chihchun
關鍵詞 差勤
電子表單
科技接受行為
結構方程模式
Management of staff’s attendance
Electronic Form System
Tchnology acceptance behavior
Structural Equation Model
日期 2010
上傳時間 5-Oct-2011 14:53:32 (UTC+8)
摘要 隨著資訊科技的發達,差勤管理已邁向E化。本研究為瞭解對差勤電子表單系統的接受行為,進一步探討影響使用者接受與使用的關鍵因素。在文獻回顧後,選擇以具有整合性質的科技接受與使用整合理論(UTAUT)為理論基礎,加上知覺易用性及知覺有用性模式若干構面,並配合消防局勤務特殊性及目前差勤電子表單系統(Webitr)使用情形建立研究架構。
本研究以臺北市政府消防局全體同仁為研究對象,經由問卷調查蒐集資料,於100年2月下旬發出635份問卷,於2週後收回,有效問卷總計482份。再以結構方程模式進行驗證性因素分析、路徑分析和調節變數分析檢驗模式適用性,並驗證研究假設與理論作對照。
經由資料分析得到結果如下:
一、預期績效對使用差勤電子表單系統的意圖有正向的直接影響,且受到性別和年齡的調節影響,至於勤務性質則無調節作用。又女性及年輕者受到調節作用比男性及年長者顯著。
二、預期付出對使用差勤電子表單系統的意圖有正向的直接影響,且受到年齡的調節影響,惟調節效果不明顯。至於性別和使用經驗則無調節作用。
三、有利條件對使用差勤電子表單系統的意圖有正向的直接影響,且受到勤務性質和使用經驗的調節影響,至於年齡則無調節作用。又外勤與使用經驗多者受到調節作用比內勤及無使用經驗者顯著。
四、工作相關對差勤電子表單系統的預期績效有負向的直接影響。
五、結果明顯性對差勤電子表單系統的預期績效有正向的直接影響。
六、自我效能對差勤電子表單系統的預期付出有正向的直接影響。
七、焦慮對差勤電子表單系統的預期付出有負向的直接影響。
因此本研究建議管理者在實質方面,推行初期加強教育訓練、增加駐點輔導員或是相關輔助,以減少同仁使用該系統發生錯誤機率,有助於減少同仁的疑慮不安和抗拒心理,並致力於提高使用者對系統的熟練度,尤其是對男性及年長者;在心理方面,加強差勤電子表單系統的行銷,使同仁對系統有正面接受度。對於系統設計建議,差勤電子表單系統的介面應簡單易操作,並融入娛樂性互動效果,產製的報表也應力求簡明易懂,使結果易呈現。而最重要也是最基礎的一點,引入系統前應先確認是否具有充分的電腦設備、便利的網路環境等資源,並盡量化解與原先作業環境的衝突因素,尤其是外勤單位。
Along with the development of information technology, the management of staff’s attendance has electronized. The author tries to figure out what are the determinants of acceptance and use of the electronic form system of staff’s attendance. After reference review, the study proposes a model that bases on Unified Theory of Acceptance and Use of Technology (UTAUT), and modifies the model by the constructs of Usefulness perception (U) and Ease of Use perception (EOU). Moreover, the model contains several variables according to the specifics of duty in Taipei City Fire Department and the implements of the electronic form system of staff’s attendance.
The study is conducted among colleagues in Taipei City Fire Department using the electronic form system of staff’s attendance: Webitr. There are 635 questionnaires provided and reclaimed after 2 weeks on the end of Faburary. There are total 482 questionnaires valid.
The result of confirmatory factor analysis, path analysis analysis and other analysis suggests that: (1) Performance expectancy has sifnificant positive influence on use intention, and the influence is moderated by gender and age but not the duty. Such the effect of moderation is stronger for the female and the younger than the male and the elder. (2) Effort expectancy has sifnificant positive influence on use intention, and the influence isn’t moderated by age, gender or experience. (3) Facilitating conditions has sifnificant positive influence on use intention, and the influence is moderated by duty and experience but not the age. Such the effect of moderation is stronger for the outside worker and those with increasing experience. (4) Job relevance has sifnificant negative influence on performance expectancy. (5) Result demonstrability has sifnificant positive influence on performance expectancy. (6) Self-efficacy has sifnificant positive influence on effort expectancy. (7) Anxiety has sifnificant negative influence on effort expectancy.
According to the results of the study, the author suggests that the administrator should enhance the education and training and increase instructors or other assistance in the early stage to reduce anxiety and resistance of users; and make users be familied with the system, especially for men and the elder. Meanwhile, the administrator should boost the system to increase the positive attitudes of users. The author also suggests that the system designers should devotes to make ease to use. Moreover, inoder to increase the pleasure, the system designers can intergrate the effects of interaction. The first of all, make sure that there are sufficient facilities and compatible conditions before the induction of the system, especially for outside worker.
參考文獻 古永嘉、楊雪蘭(譯)(2009)。企業研究方法(三版)(Cooper, D. R., & P. S. Schindler 原著)。臺北:麥格羅.希爾出版。
江岷欽(1998)。組織文化與政府生產力之硏究: 我國行政機關之實徵分析。行政院國家科學委員會補助專題硏究報告,臺北:行政院國科會科資中心。
行政院(2001)。行政院及所屬各機關公務人員平時考核要點。臺北:行政院。
行政院人事行政局(2010a)。行政院所屬各級人事機構人員設置管理要點。臺北:行政院人事行政局。
行政院人事行政局(2010b)。全國共享版機關內部差勤電子表單系統一般人員使用手冊。臺北:行政院人事行政局。
行政院研究發展考核委員會(編)(2006)。電子化政府報告書93-94年度。臺北:行政院研究發展考核委員會。
吳明隆(2010)。結構方程模式AMOS的操作與應用(第二版)。臺北:五南圖書。
吳敏華(2006)。差勤電子表單系統使用者滿意度之研究-以高雄市政府警察局為例。義守大學資訊管理學系碩士學位論文,未出版,高雄。
張美惠(譯)(2001)。血、汗與淚水: 人類工作的演化(Richard Donkin原著)。臺北 : 時報文化。
張凱貞(2008)。「差勤管理系統」行政人員滿意度之研究-以吳鳳技術學院為例。南華大學資訊管理學研究所碩士學位論文,未出版,嘉義。
張潤書(2009)。行政學(修訂四版)。臺北:三民書局。
黃芳銘(2004)。社會科學統計方法學: 結構方程模式(初版)。臺北:五南圖書。
劉柏廷(2006)。科技接受模式,結合計劃行為理論與科技接受模式,科技接受與使用統一理論之實證分析與比較: 以台北市停車收費採用PDA 為例。國立交通大學運輸科技與管理學系碩士學位論文,未出版,新竹。
鄭晉昌、林俊宏、黃猷悌(2006)。人力資源e化管理: 理論,策略與方法(初版)。臺北:前程文化。
羅清俊(2008)。社會科學研究方法─如何做好量化研究(初版三刷)。臺北:威仕曼文化。
Agarwal, R., & J. Prasad (1997). The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies. Decision Sciences, 28(3): 557-582.
Ajzen, I. (1985). From intentions to actions: A Theory of Planned Behavior. In Julius, K., & B. Jurgen (Eds.), Action Control from Cognition to Behavior (pp. 11-39). New York: Springer-Verlag.
Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50(2): 179-211.
Ajzen, I., & M. Fishbein (1980). Understanding Attitudes and Predicting Social Behavior. New Jersey: Prentice-Hall, Inc.
Ajzen, I., & T. J. Madden (1986). Prediction of Goal-Directed Behavior: Attitudes, Intentions, and Perceived Behavioral Control. Journal of Experimental Social Psychology, 22: 453-474.
Bandura, A. (1977). Self-efficacy: Toward a Unifying Theory of Behavioral Change. Psychological Review, 84(2): 191-215.
Bandura, A. (1982). Self-Efficacy Mechanism in Human Agency. American Psychologist, 37(2): 122-147.
Bandura, A. (1986). Social Foundations of thought and action: a social cognitive theory. Englewood Cliffs, New Jersey: Prentice-Hall, Inc.
Bandura, A. (1997). Self-efficacy : the exercise of control. New York: W. H. Freeman.
Bergeron, F., S. Rivard, & L. De Serre (1990). Investigating the Support Role of the Information Center. MIS Quarterly, 14(3): 247- 260.
Danziger, J. N. & K. L. Kraemer (1986). People and Computer. New York: Columbia University Press.
Davis, F. D., R. P. Bagozzi, & P. R. Warshaw (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8): 982-1003.
Fishbein, M., & I. Ajzen (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. MA.: Addison-Wesley, Inc.
Harrison, D. A., P. P. Mykytyn, & C. K. Riemenschneider (1997). Executive Decisions about Adoption of Information Technology in Small Business: Theory and Empirical Tests. Information Systems Research, 8(2): 171-195.
Hartwick, J., & H. Barki (1994). Explaining the Role of User Participation in Information System Use. Management Science, 40(4): 400-465.
Henry, N. (1999). Public Administration and Public Affairs (7th Ed.). Englewood Cliffs, New Jersey: Prentice-Hall, Inc.
Karahanna, E., D. W. Straub, & N. L. Chervany (1999). Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs. MIS Quarterly, 23(2): 183-213.
Kling, R. (1978). The Impacts of Computing on the Work of Managers, Data Analysts, and Clerks. Irvine, CACalif.: Public Policy Research Organization, University of California.
Levy, J. A. (1988). Intersectionso f Gender and Aging. The Sociological Quarterly, 29(4): 479-486.
Mathieson, K. (1991). Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior. Information Systems Research, 2(3): 173-191.
Minton, H. L., & F. W. Schneider (1980). Differential Psychology. Monterey, Calif.: Brooks/Cole Pub. .
Moore, G. C., & I. Benbasat (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 2(3): 192-222.
Morris, L. W., M. A. Davis, & C. H. Hutchings (1984). Cognitive and Emotional Components of Anxiety: Literature Review and A Revised Worry-emotionality Scale. Journal of Educational Psychology, 73(4): 541-555.
Morris, M. G., & V. Venkatesh (2000). Age Differencesin Technology Adoption Decisions: Implications for a Changing Workforce. Personnel Psychology, 53(2): 375-403.
Philipi, B. N., R. P. Martin, & J. Meyers (1972). Interventions in Relation to Anxiety in School. Current Trends in Theory and Research. New York: Academic Press.
Sheppard, B. H., J. Hartwick, & P. R. Warshaw (1988). The Theory of Reasoned Action: A Meta- Analysis of Past Research with Recommendations for Modifications and Future Research. Journal of Consumer Research, 15(3): 325-343.
Taylor, S., & P. A. Todd (1995a). Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research, 6(2): 144-176.
Taylor, S., & P. A. Todd (1995b). Assessing IT Usage:The Role of Prior Experience. MIS Quarterly, 19(2): 561-570.
Thompson, R. L., C. A. Higgins, & J. M. Howell (1991). Personal Computing: Toward a Conceptual Model of Utilization. MIS Quarterly, 15(1): 124-143.
Venkatesh, V. (2000). Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model. Information Systems Research, 11(4): 342-365.
Venkatesh, V., & F. D. Davis (1996). A Model of the Antecedents of Perceived Ease of Use: Development and Test. Decision Sciences, 27(3): 451-481.
Venkatesh, V., & F. D. Davis (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 45(2): 186-204.
Venkatesh, V., M. G. Morris, G. B. Davis, & F. D. Davis (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3): 425-478.
Warshaw, P. R. (1980). A New Model for Predicting Behavioral Intentions: An Alternative to Fishbein. J. Marketing Res., 17: 153-172.
描述 碩士
國立政治大學
行政管理碩士學程
98921068
99
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0098921068
資料類型 thesis
dc.contributor.advisor 蕭乃沂zh_TW
dc.contributor.advisor Hsiao, Naiyien_US
dc.contributor.author (Authors) 郭芷均zh_TW
dc.contributor.author (Authors) Kuo, Chihchunen_US
dc.creator (作者) 郭芷均zh_TW
dc.creator (作者) Kuo, Chihchunen_US
dc.date (日期) 2010en_US
dc.date.accessioned 5-Oct-2011 14:53:32 (UTC+8)-
dc.date.available 5-Oct-2011 14:53:32 (UTC+8)-
dc.date.issued (上傳時間) 5-Oct-2011 14:53:32 (UTC+8)-
dc.identifier (Other Identifiers) G0098921068en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/51416-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 行政管理碩士學程zh_TW
dc.description (描述) 98921068zh_TW
dc.description (描述) 99zh_TW
dc.description.abstract (摘要) 隨著資訊科技的發達,差勤管理已邁向E化。本研究為瞭解對差勤電子表單系統的接受行為,進一步探討影響使用者接受與使用的關鍵因素。在文獻回顧後,選擇以具有整合性質的科技接受與使用整合理論(UTAUT)為理論基礎,加上知覺易用性及知覺有用性模式若干構面,並配合消防局勤務特殊性及目前差勤電子表單系統(Webitr)使用情形建立研究架構。
本研究以臺北市政府消防局全體同仁為研究對象,經由問卷調查蒐集資料,於100年2月下旬發出635份問卷,於2週後收回,有效問卷總計482份。再以結構方程模式進行驗證性因素分析、路徑分析和調節變數分析檢驗模式適用性,並驗證研究假設與理論作對照。
經由資料分析得到結果如下:
一、預期績效對使用差勤電子表單系統的意圖有正向的直接影響,且受到性別和年齡的調節影響,至於勤務性質則無調節作用。又女性及年輕者受到調節作用比男性及年長者顯著。
二、預期付出對使用差勤電子表單系統的意圖有正向的直接影響,且受到年齡的調節影響,惟調節效果不明顯。至於性別和使用經驗則無調節作用。
三、有利條件對使用差勤電子表單系統的意圖有正向的直接影響,且受到勤務性質和使用經驗的調節影響,至於年齡則無調節作用。又外勤與使用經驗多者受到調節作用比內勤及無使用經驗者顯著。
四、工作相關對差勤電子表單系統的預期績效有負向的直接影響。
五、結果明顯性對差勤電子表單系統的預期績效有正向的直接影響。
六、自我效能對差勤電子表單系統的預期付出有正向的直接影響。
七、焦慮對差勤電子表單系統的預期付出有負向的直接影響。
因此本研究建議管理者在實質方面,推行初期加強教育訓練、增加駐點輔導員或是相關輔助,以減少同仁使用該系統發生錯誤機率,有助於減少同仁的疑慮不安和抗拒心理,並致力於提高使用者對系統的熟練度,尤其是對男性及年長者;在心理方面,加強差勤電子表單系統的行銷,使同仁對系統有正面接受度。對於系統設計建議,差勤電子表單系統的介面應簡單易操作,並融入娛樂性互動效果,產製的報表也應力求簡明易懂,使結果易呈現。而最重要也是最基礎的一點,引入系統前應先確認是否具有充分的電腦設備、便利的網路環境等資源,並盡量化解與原先作業環境的衝突因素,尤其是外勤單位。
zh_TW
dc.description.abstract (摘要) Along with the development of information technology, the management of staff’s attendance has electronized. The author tries to figure out what are the determinants of acceptance and use of the electronic form system of staff’s attendance. After reference review, the study proposes a model that bases on Unified Theory of Acceptance and Use of Technology (UTAUT), and modifies the model by the constructs of Usefulness perception (U) and Ease of Use perception (EOU). Moreover, the model contains several variables according to the specifics of duty in Taipei City Fire Department and the implements of the electronic form system of staff’s attendance.
The study is conducted among colleagues in Taipei City Fire Department using the electronic form system of staff’s attendance: Webitr. There are 635 questionnaires provided and reclaimed after 2 weeks on the end of Faburary. There are total 482 questionnaires valid.
The result of confirmatory factor analysis, path analysis analysis and other analysis suggests that: (1) Performance expectancy has sifnificant positive influence on use intention, and the influence is moderated by gender and age but not the duty. Such the effect of moderation is stronger for the female and the younger than the male and the elder. (2) Effort expectancy has sifnificant positive influence on use intention, and the influence isn’t moderated by age, gender or experience. (3) Facilitating conditions has sifnificant positive influence on use intention, and the influence is moderated by duty and experience but not the age. Such the effect of moderation is stronger for the outside worker and those with increasing experience. (4) Job relevance has sifnificant negative influence on performance expectancy. (5) Result demonstrability has sifnificant positive influence on performance expectancy. (6) Self-efficacy has sifnificant positive influence on effort expectancy. (7) Anxiety has sifnificant negative influence on effort expectancy.
According to the results of the study, the author suggests that the administrator should enhance the education and training and increase instructors or other assistance in the early stage to reduce anxiety and resistance of users; and make users be familied with the system, especially for men and the elder. Meanwhile, the administrator should boost the system to increase the positive attitudes of users. The author also suggests that the system designers should devotes to make ease to use. Moreover, inoder to increase the pleasure, the system designers can intergrate the effects of interaction. The first of all, make sure that there are sufficient facilities and compatible conditions before the induction of the system, especially for outside worker.
en_US
dc.description.tableofcontents 誌謝 I
中文摘要 II
Abstract IV
目次 VI
表次 IX
圖次 XIII
第一章 緒論 1
第一節 研究背景 1
第二節 研究動機 3
第三節 研究目的 7
第四節 研究流程 8
第二章 文獻回顧 9
第一節 臺北市政府消防局之差勤管理現況分析 9
第二節 科技接受行為模式、差勤電子表單系統之相關研究 17
第三節 科技接受行為相關理論 21
第四節 文獻評析 49
第三章 研究設計與實施 57
第一節 研究架構 57
第二節 研究假設 62
第三節 觀察變數 66
第四節 問卷設計 70
第五節 調查程序 76
第六節 資料分析方法 78
第四章 研究結果與分析 81
第一節 樣本結構分析 81
第二節 敘述性統計分析 88
第三節 問卷信度分析 92
第四節 交叉分析 93
第五節 驗證性因素分析 104
第六節 路徑分析 123
第七節 調節變數分析 128
第八節 綜合分析 145
第五章 結論 152
第一節 研究發現彙整 152
第二節 實務建議 155
第三節 後續研究建議 160
參考文獻 162
附錄 167
附錄一 行政院所屬各級行政機關、學校、事業機構人事人員員額設置標準表 167
附錄二 各縣市消防機關外勤單位勤休制度情形表 169
附錄三 差勤電子表單系統接受與使用意圖調查問卷 171
附錄四 本研究原始測量模式之「標準化殘差共變數矩陣」 176
zh_TW
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0098921068en_US
dc.subject (關鍵詞) 差勤zh_TW
dc.subject (關鍵詞) 電子表單zh_TW
dc.subject (關鍵詞) 科技接受行為zh_TW
dc.subject (關鍵詞) 結構方程模式zh_TW
dc.subject (關鍵詞) Management of staff’s attendanceen_US
dc.subject (關鍵詞) Electronic Form Systemen_US
dc.subject (關鍵詞) Tchnology acceptance behavioren_US
dc.subject (關鍵詞) Structural Equation Modelen_US
dc.title (題名) 臺北市政府消防局推行差勤電子表單系統之研究─ 科技接受與使用整合理論的觀點zh_TW
dc.title (題名) Electronic form system of staff’s attendance in Taipei City fire department-perspective from unified theory of acceptance and use of technologyen_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) 古永嘉、楊雪蘭(譯)(2009)。企業研究方法(三版)(Cooper, D. R., & P. S. Schindler 原著)。臺北:麥格羅.希爾出版。zh_TW
dc.relation.reference (參考文獻) 江岷欽(1998)。組織文化與政府生產力之硏究: 我國行政機關之實徵分析。行政院國家科學委員會補助專題硏究報告,臺北:行政院國科會科資中心。zh_TW
dc.relation.reference (參考文獻) 行政院(2001)。行政院及所屬各機關公務人員平時考核要點。臺北:行政院。zh_TW
dc.relation.reference (參考文獻) 行政院人事行政局(2010a)。行政院所屬各級人事機構人員設置管理要點。臺北:行政院人事行政局。zh_TW
dc.relation.reference (參考文獻) 行政院人事行政局(2010b)。全國共享版機關內部差勤電子表單系統一般人員使用手冊。臺北:行政院人事行政局。zh_TW
dc.relation.reference (參考文獻) 行政院研究發展考核委員會(編)(2006)。電子化政府報告書93-94年度。臺北:行政院研究發展考核委員會。zh_TW
dc.relation.reference (參考文獻) 吳明隆(2010)。結構方程模式AMOS的操作與應用(第二版)。臺北:五南圖書。zh_TW
dc.relation.reference (參考文獻) 吳敏華(2006)。差勤電子表單系統使用者滿意度之研究-以高雄市政府警察局為例。義守大學資訊管理學系碩士學位論文,未出版,高雄。zh_TW
dc.relation.reference (參考文獻) 張美惠(譯)(2001)。血、汗與淚水: 人類工作的演化(Richard Donkin原著)。臺北 : 時報文化。zh_TW
dc.relation.reference (參考文獻) 張凱貞(2008)。「差勤管理系統」行政人員滿意度之研究-以吳鳳技術學院為例。南華大學資訊管理學研究所碩士學位論文,未出版,嘉義。zh_TW
dc.relation.reference (參考文獻) 張潤書(2009)。行政學(修訂四版)。臺北:三民書局。zh_TW
dc.relation.reference (參考文獻) 黃芳銘(2004)。社會科學統計方法學: 結構方程模式(初版)。臺北:五南圖書。zh_TW
dc.relation.reference (參考文獻) 劉柏廷(2006)。科技接受模式,結合計劃行為理論與科技接受模式,科技接受與使用統一理論之實證分析與比較: 以台北市停車收費採用PDA 為例。國立交通大學運輸科技與管理學系碩士學位論文,未出版,新竹。zh_TW
dc.relation.reference (參考文獻) 鄭晉昌、林俊宏、黃猷悌(2006)。人力資源e化管理: 理論,策略與方法(初版)。臺北:前程文化。zh_TW
dc.relation.reference (參考文獻) 羅清俊(2008)。社會科學研究方法─如何做好量化研究(初版三刷)。臺北:威仕曼文化。zh_TW
dc.relation.reference (參考文獻) Agarwal, R., & J. Prasad (1997). The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies. Decision Sciences, 28(3): 557-582.zh_TW
dc.relation.reference (參考文獻) Ajzen, I. (1985). From intentions to actions: A Theory of Planned Behavior. In Julius, K., & B. Jurgen (Eds.), Action Control from Cognition to Behavior (pp. 11-39). New York: Springer-Verlag.zh_TW
dc.relation.reference (參考文獻) Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50(2): 179-211.zh_TW
dc.relation.reference (參考文獻) Ajzen, I., & M. Fishbein (1980). Understanding Attitudes and Predicting Social Behavior. New Jersey: Prentice-Hall, Inc.zh_TW
dc.relation.reference (參考文獻) Ajzen, I., & T. J. Madden (1986). Prediction of Goal-Directed Behavior: Attitudes, Intentions, and Perceived Behavioral Control. Journal of Experimental Social Psychology, 22: 453-474.zh_TW
dc.relation.reference (參考文獻) Bandura, A. (1977). Self-efficacy: Toward a Unifying Theory of Behavioral Change. Psychological Review, 84(2): 191-215.zh_TW
dc.relation.reference (參考文獻) Bandura, A. (1982). Self-Efficacy Mechanism in Human Agency. American Psychologist, 37(2): 122-147.zh_TW
dc.relation.reference (參考文獻) Bandura, A. (1986). Social Foundations of thought and action: a social cognitive theory. Englewood Cliffs, New Jersey: Prentice-Hall, Inc.zh_TW
dc.relation.reference (參考文獻) Bandura, A. (1997). Self-efficacy : the exercise of control. New York: W. H. Freeman.zh_TW
dc.relation.reference (參考文獻) Bergeron, F., S. Rivard, & L. De Serre (1990). Investigating the Support Role of the Information Center. MIS Quarterly, 14(3): 247- 260.zh_TW
dc.relation.reference (參考文獻) Danziger, J. N. & K. L. Kraemer (1986). People and Computer. New York: Columbia University Press.zh_TW
dc.relation.reference (參考文獻) Davis, F. D., R. P. Bagozzi, & P. R. Warshaw (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8): 982-1003.zh_TW
dc.relation.reference (參考文獻) Fishbein, M., & I. Ajzen (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. MA.: Addison-Wesley, Inc.zh_TW
dc.relation.reference (參考文獻) Harrison, D. A., P. P. Mykytyn, & C. K. Riemenschneider (1997). Executive Decisions about Adoption of Information Technology in Small Business: Theory and Empirical Tests. Information Systems Research, 8(2): 171-195.zh_TW
dc.relation.reference (參考文獻) Hartwick, J., & H. Barki (1994). Explaining the Role of User Participation in Information System Use. Management Science, 40(4): 400-465.zh_TW
dc.relation.reference (參考文獻) Henry, N. (1999). Public Administration and Public Affairs (7th Ed.). Englewood Cliffs, New Jersey: Prentice-Hall, Inc.zh_TW
dc.relation.reference (參考文獻) Karahanna, E., D. W. Straub, & N. L. Chervany (1999). Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs. MIS Quarterly, 23(2): 183-213.zh_TW
dc.relation.reference (參考文獻) Kling, R. (1978). The Impacts of Computing on the Work of Managers, Data Analysts, and Clerks. Irvine, CACalif.: Public Policy Research Organization, University of California.zh_TW
dc.relation.reference (參考文獻) Levy, J. A. (1988). Intersectionso f Gender and Aging. The Sociological Quarterly, 29(4): 479-486.zh_TW
dc.relation.reference (參考文獻) Mathieson, K. (1991). Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior. Information Systems Research, 2(3): 173-191.zh_TW
dc.relation.reference (參考文獻) Minton, H. L., & F. W. Schneider (1980). Differential Psychology. Monterey, Calif.: Brooks/Cole Pub. .zh_TW
dc.relation.reference (參考文獻) Moore, G. C., & I. Benbasat (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 2(3): 192-222.zh_TW
dc.relation.reference (參考文獻) Morris, L. W., M. A. Davis, & C. H. Hutchings (1984). Cognitive and Emotional Components of Anxiety: Literature Review and A Revised Worry-emotionality Scale. Journal of Educational Psychology, 73(4): 541-555.zh_TW
dc.relation.reference (參考文獻) Morris, M. G., & V. Venkatesh (2000). Age Differencesin Technology Adoption Decisions: Implications for a Changing Workforce. Personnel Psychology, 53(2): 375-403.zh_TW
dc.relation.reference (參考文獻) Philipi, B. N., R. P. Martin, & J. Meyers (1972). Interventions in Relation to Anxiety in School. Current Trends in Theory and Research. New York: Academic Press.zh_TW
dc.relation.reference (參考文獻) Sheppard, B. H., J. Hartwick, & P. R. Warshaw (1988). The Theory of Reasoned Action: A Meta- Analysis of Past Research with Recommendations for Modifications and Future Research. Journal of Consumer Research, 15(3): 325-343.zh_TW
dc.relation.reference (參考文獻) Taylor, S., & P. A. Todd (1995a). Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research, 6(2): 144-176.zh_TW
dc.relation.reference (參考文獻) Taylor, S., & P. A. Todd (1995b). Assessing IT Usage:The Role of Prior Experience. MIS Quarterly, 19(2): 561-570.zh_TW
dc.relation.reference (參考文獻) Thompson, R. L., C. A. Higgins, & J. M. Howell (1991). Personal Computing: Toward a Conceptual Model of Utilization. MIS Quarterly, 15(1): 124-143.zh_TW
dc.relation.reference (參考文獻) Venkatesh, V. (2000). Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model. Information Systems Research, 11(4): 342-365.zh_TW
dc.relation.reference (參考文獻) Venkatesh, V., & F. D. Davis (1996). A Model of the Antecedents of Perceived Ease of Use: Development and Test. Decision Sciences, 27(3): 451-481.zh_TW
dc.relation.reference (參考文獻) Venkatesh, V., & F. D. Davis (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 45(2): 186-204.zh_TW
dc.relation.reference (參考文獻) Venkatesh, V., M. G. Morris, G. B. Davis, & F. D. Davis (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3): 425-478.zh_TW
dc.relation.reference (參考文獻) Warshaw, P. R. (1980). A New Model for Predicting Behavioral Intentions: An Alternative to Fishbein. J. Marketing Res., 17: 153-172.zh_TW