簡易檢索 / 詳目顯示

研究生: 翁婉慈
Wan Tzu, Wong
論文名稱: 員工數位學習遷移動機影響因素之研究
Assessing the Factors Affecting Employees’ e-Learning Motivation to Transfer
指導教授: 黃能堂
Huang, Neng-Tang
學位類別: 博士
Doctor
系所名稱: 科技應用與人力資源發展學系
Department of Technology Application and Human Resource Development
論文出版年: 2012
畢業學年度: 100
語文別: 中文
論文頁數: 207
中文關鍵詞: 遷移動機數位學習影響因素
英文關鍵詞: motivation to transfer, e-learning, effect factors
論文種類: 學術論文
相關次數: 點閱:173下載:30
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 本研究旨在於探求影響員工數位學習遷移動機的因素,並確認其因素間如何影響遷移動機。研究以企業組織的角度為出發點,運用跨領域的思維,融合實體訓練的學習遷移系統(LTSI)以及數位學習科技相關模式(如,UTAUT、ISS、ELS等模式)和組織情境相關文獻找出影響數位學習遷移動機的因素。繼而經由訪談 11 位企業實務專家確認影響因素並經過問卷調查進行探索性因素分析發展出具備良好信、效度的研究工具 ─ 數位學習遷移動機量表。量表中含括 11 個影響因素以及 1 個依變數(遷移動機),共計 41 個題項。研究透過結構方程模式驗證影響因素間的關係,獲得良好的模式適配度。本研究致獲主要結論為數位學習遷移動機共有 11 個影響因素,其中 4 個因素為直接影響(主管支持、學習滿意度、遷移能力以及服務品質),7 個因素為間接影響(遷移設計、持續學習文化、知覺組織支持、績效結果期望、內容效度、內容使用以及系統品質),而因素之間的路徑有 23 個假設獲得成立,形成數位學習遷移動機影響因素模式。研究最後亦根據研究結果提出對企業經營者以及未來研究者之建議。

    This study aimed to explore the factors that affect the employee’s e-Learning motivation to transfer, and to verify the relationships among themselves. This study used an organization perspective and interdisciplinary thinking to integrate some theory models (e.g., LTSI, UTAUT, ISS, and ELS) and extracted factors from them, besides this study also considered the relevant literatures of organizational context and put them into the research model. This study confirmed the effect factors through interview with 11 corporate e-Learning experts and questionnaires investigation. The scale with 41 items encompasses 11 effect factors and a dependent variable (motivation to transfer). Through the validation of structural equation modeling, the study’s model got a good model fit and most of the research hypotheses were supported. Overall, the main results of this study found: first, the 11 effect factors (4 direct and 7 indirect effect factors) would affect motivation to tranfer via directly and indirectly. Second, 23 hypotheses were established to form a model of e-Learning motivation to transfer and between the factors generated meaningful paths base on on the theories. In the end of this study also provide some suggestions for organizational e-Learning operators and future researchers.

    謝 誌 i 中文摘要 iii Abstract v 目  錄 vii 表 次 ix 圖 次 xi 第一章 緒 論 1 第一節 研究背景與動機 1 第二節 研究目的與待答問題 5 第三節 研究範圍與限制 6 第四節 名詞解釋 9 第二章 文獻探討 13 第一節 數位學習 13 第二節 數位學習成效主要衡量模式 22 第三節 遷移動機及相關理論基礎 34 第四節 遷移動機衡量模式 41 第五節 數位學習遷移動機的影響因素 49 第三章 研究設計與實施 59 第一節 研究架構 59 第二節 研究方法與流程 60 第三節 問卷工具發展 64 第四節 正式調查研究對象 80 第五節 資料處理與分析 87 第四章 研究結果與討論 91 第一節 數位學習遷移動機影響因素確認 91 第二節 數位學習遷移動機影響因素驗證 117 第三節 數位學習遷移動機影響因素之路徑關係模式 129 第五章 結論與建議 151 第一節 研究結論 151 第二節 研究建議 160 參考文獻 167 附 錄 183 附錄一、專家效度修正對照表 184 附錄二、員工數位學習遷移動機影響因素之研究-訪談問卷 187 附錄三、訪談後題項修改對照 190 附錄四、員工數位學習遷移動機影響因素之研究-預試問卷 195 附錄五、預試各題項信度分析 198 附錄六、員工數位學習遷移動機影響因素之研究-正式調查問卷 201 附錄七、探索性因素分析、信度分析後之題項 204 附錄八、驗證性分析後之題項 206 附錄九、數位學習遷移動機影響因素量表 207 表 次 表 2-1 數位學習相關模式因子統整表 34 表 2-2 LTSI 因子統整表 48 表 2-3 影響遷移動機之研究彙整表 54 表 2-4 數位學習遷移動機影響因素統整表 56 表 3-1 學術專家背景 64 表 3-2 受訪專家及其企業背景 67 表 3-3 專家訪談因素確認 69 表 3-4 專家內容效度後之題項 70 表 3-5 影響因素之信度 74 表 3-6 研究避免 CMV 之說明 79 表 3-7 調查企業範疇 82 表 3-8 問卷調查發放與回收問卷數 84 表 3-9 研究對象基本資料 86 表 4-1 第一次探索性因素分析結果彙整 93 表 4-2 第二次探索性因素分析結果彙整 96 表 4-3 第三次探索性因素分析結果彙整 99 表 4-4 第四次探索性因素分析結果彙整 102 表 4-5 第五次探索性因素分析結果彙整 104 表 4-6 探索性因素分析結果摘要 109 表 4-7 影響因素信度分析結果 112 表 4-8 影響因素相關分析結果 116 表 4-9 基本適配度指標檢視表 118 表 4-10 估計參數間的相關係數 120 表 4-11 量測模式驗證與修飾摘要表 123 表 4-12 模式內在結構適配度檢驗表 126 表 4-13 量測模式檢測結果摘要 128 表 4-14 數位學習遷移動機影響因素模式驗證適配度 138 表 4-15 數位學習遷移動機影響因素之研究假說驗證結果總表 147 表 4-16 驗證分析後的數位學習遷移動機影響因素 149 圖 次 圖 2-1 績效導向的企業數位學習環境概念 21 圖 2-2 數位學習成效的三層次架構 22 圖 2-3 TAM 模式架構 24 圖 2-4 TAM 2 模式架構 25 圖 2-5 UTAUT模式架構 27 圖 2-6 資訊系統成功模式 28 圖 2-7 新版資訊系統成功模式 29 圖 2-8 數位學習成功模式 30 圖 2-9 動機對訓練成效之影響模式 43 圖 2-10 修正版的 HRD 評鑑與研究模式 45 圖 2-11 學習遷移系統概念架構 47 圖 3-1 數位學習遷移動機影響因素概念架構 60 圖 3-2 研究流程 63 圖 4-1 依據 LTSI 模式的假設架構圖 131 圖 4-2 依據數位學習相關模式的假設架構圖 135 圖 4-3 依據組織情境脈絡的假設架構圖 137 圖 4-4 路徑結構模式驗證結果 146

    一、中文部份
    行政院勞工委員會職業訓練局(2011a)。人力創新獎選拔表揚計畫。2011 年 9 月 21 日,取自 http://www.evta.gov.tw/content/content.asp?mfunc_id=7&func_id=7&cata_id=&id=18509
    行政院勞工委員會職業訓練局(2011b)。訓練品質評核系統(TTQS)。2011 年 9 月 21 日,取自 http://ttqs.evta.gov.tw/Plan.aspx
    邱皓政(2010)。量化研究與統計分析(第五版)。臺北:五南。
    洪贊凱、李昆靜(2009)。員工訓練遷移動機影響之實證分析。企業管理學報,80,87-116。
    國家數位學習品質服務中心(2011)。學習服務品質認證。2011 年 9 月 21 日,取自 http://www.elq.org.tw/elsc_apply/digi_service01.aspx
    張春興(2000)。心理學。臺北:東華。
    張肅婷、方崇雄(2010)。探討醫療產業病人安全教育訓練與員工訓練遷移動機之研究—以台灣省某區域教學醫院為例。中華管理評論國際學報,13(3),1-14。
    莊世杰、楊仁壽、黃俊祥(2002)。受訓動機與訓練評量三個層次之關係研究。管理評論,22(2),81-102。
    陳順宇(2005)。多變量分析(第四版)。臺北:華泰文化。
    彭台光、高月慈、林鉦棽(2006)。管理研究中的共同方法變異:問題本質、影響、測試和補救。管理學報,23(1),77-98。
    黃芳銘(2007)。 結構方程模式:理論與應用(第五版)。臺北:五南。
    經濟部工業局(2010)。數位學習與典藏產業推動計畫。2012 年 4 月 30 日,取自 http://www.epark.org.tw/epark_project_1.php
    榮泰生(2006)。SPSS與研究方法。臺北:五南。
    數位學習國家型科技辦公室(2003)。數位學習定義。2011 年 4 月 14 日,取自http://wiki.teldap.tw/index.php/

    二、外文部分
    Agarwal, R., Sambamurthy, V., & Stair, R. M. (2000). Research report: The evolving relationship between general and specific computer self-efficacy - an empirical assessment. Information Systems Research December, 11(4), 418-430.
    Ajzen, I. & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall.
    Axtell, C. M., Maitlis, S., & Yearta, S. K. (1997). Predicting immediate and longer-term transfer of training. Personnel Review, 26(3), 201-213.
    Bagozzi, R. P. & Yi, Y. (1988). On the evaluation of structural equation mdels. Academy of Marking Science, 16, 76-94.
    Baldwin, T. T. & Ford, J. K. (1988). Transfer of training: A review and directions for future research. Personnel Psychology, 41, 63–105.
    Bandura, A. (1997). Self-efficacy: The exercise of control. New York: Freeman.
    Bandura, A. & Wood, R. (1989). Social cognitive theory of organizational management. Academy of Management Review, 5, 361 -384.
    Bates, R. A. & Holton III, E. F. (2004). Linking workplace literacy skills and transfer system perceptions. Human Resource Development Quarterly, 15(2), 153-170.
    Bates, R. A. & Khasawneh, S. (2005). Organizational learning culture, learning transfer climate, and perceived innovation in Jordanian organizations. International Journal of Training and Development, 9(2), 96-109.
    Bates, R. A. (2003). Training transfer: Progress and prospects. In A. M. Gilley, J. L. Callahan, & L. L. Bierema (Eds.), Critical issues in HRD (pp. 179-197). Cambridge, MA: Perseus.
    Bates, R. A., Holton III, E.F., Seyler, D. L., & Carblho, M. A. (2000). The role of interpersonal factors in the application in a computer-based training in an industrial setting. Human Resource Development International, 3(1), 19-42.
    Bates, R. A., Holton III., E. F., & Seyler, D. L. (1997). Factors affecting transfer of training in an industrial setting. Proceedings of Academy of Human Resource Development Annual Conference, USA, 345-359.
    Bates, R. A., Kauffeld, S., & Holton III, E. F. (2007).Examining the factor structure and predictive ability of the german-version of the learning transfer systems inventory. Journal of European Industrial Training, 31(3), 195-211.
    Beer, V. (2000). The web learning field book: Using the world web to building workforce learning environments. San Francisco, CA: Jossey-Base.
    Bell, M., Martin, G., & Clarke, T. (2004). Engaging in the future of e-learning: A scenario-based approach. Education and Training, 46, 296-307.
    Bransford, J., Brown, A. L., & Cocking, R. R. (1999). How people learn: Brain, mind, experience, and school. Washington, DC: National Academy Press.
    Burke, L. A. & Hutchins, H. M. (2007). Training transfer: An integrative literature review. Human Resource Development Review, 6(3), 263-296.
    Chatti, M. A., Jarke, M., & Frosch-Wilke, D. (2007). The future of e-learning: A shift to knowledge networking and social software. International Journal of knowledge and learning, 3(4/5), 404-420.
    Chen, H. C., Holton III, E. F., & Bates, R. A. (2005). Development and validation of the learning transfer system inventory in Taiwan. Human Resource Development Quarterly, 16(1), 55-84.
    Chen, H. J. (2010). Linking employees' e-learning system use to their overall job outcomes: An empirical study based on the IS success model. Computers & Education, 55(4), 1628-1639.
    Cheng , B., Wang, M., Moormann, J., Olaniran, B. A., & Chen, N. S. (2012). The effects of organizational learning environment factors on e-learning acceptance. Computers & Education, 58(3), 885–899.
    Cheng, W. L. & Ho, C. K. (2001a). A review of transfer of training studies in the past decade. Personnel Review, 30(1), 102-118.
    Cheng, W. L. & Ho, C. K. (2001b). The influence of job and career attitudes on learning motivation and transfer. Career Development International, 6(1), 20-27.
    Chiu, C., Hsu, M., Sun, S., Lin, T., & Sun, P. (2005). Usability, quality, value and e-learning continuance decisions. Computers & Education 45(4), 399-416.
    Compeau, D. R. & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189-211.
    Darolia, C. R., Kumari, P., & Darolia, S. (2010). Perceived organizational support, work motivation, and organizational commitment as determinants of job performance. Journal of the Indian Academy of Applied Psychology, 36(1), 69-78.
    Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information system: Theory and results. Unpublished doctoral dissertation, Sloan School of Management of MIT, Cambridge, MA.
    Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 318-339.
    Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 982-1003.
    DeConinck, J. B. (2010). The effect of organizational justice, perceived organizational support, and perceived supervisor support on marketing employees' level of trust. Journal of Business Research, 63, 1349-1355.
    DeCorte, E. (2003). Transfer as the productive use of acquired knowledge, skills, and motivations. Current Directions in Psychological Science, 12, 142–146.
    DeLone, W. H. & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95.
    DeLone, W. H. & McLean, E. R. (2003). The DeLone and McLean model of information system success: A ten-year update. Journal of Management Information Systems, 19(4), 9-30.
    DeRouin, R., Fritzsche, B. A., & Salas, E. (2005). E-learning in organizations. Journal of Management, 31, 920-940.
    Devos, C., Dumay, X., Bonami, M., Bates, R. A., & Holton III, E. F. (2007). The Learning transfer system inventory (LTSI) translated into french: Internal structure and predictive validity. International Journal of Training and Development, 11(3), 181-199.
    Durndella, A. & Haagb, Z. (2002). Computerselfefficacy, computer anxiety, attitudes towards the internet and reported experience with the internet, by gender, in an east european sample. Computers in Human Behavior, 18(5), 521-535.
    Easterby-Smith, M., Araujo, L., & Burgoyne, J. (1999). Organizational learning and the learning organization: Developments in theory and practice. London: Sage Publications.
    Economist Intelligence Unit & IBM (2005). The 2005 e-readiness rankings: A white paper from the economist intelligence unit. Retrieved April, 19, 2011 from http://a330.g.akamai.net/7/330/2540/20050415154011/graphics.eiu.com/files/ad_pdfs/2005Ereadiness_Ranking_WP.pdf
    Edens, P. S. & Bell, S. T. (2003). Effectiveness of training in organizations: A meta-analysis of design and evaluation features. Journal of Applied Psychology, 88(2), 234-245.
    Efimova, L. & Swaak, J. (2003). Converging knowledge management, training and e-learning: Scenarios to make it work. Journal of Universal Computer Science, 9(3), 571–578.
    Egan, T. M., Yang, B., & Bartlett, K. R. (2004). The effects of organizational learning culture and job satisfaction on motivation to transfer learning and turnover intention. Human Resource Development Quarterly, 15(3), 279-301.
    Eisenberger, R., Cummings, J., Armeli, S., & Lynch, P. (1997). Perceived organizational support, discretionary treatment, and job satisfaction. Journal of Applied Psychology, 82 (5) 812-820.
    Eisenberger, R., Huntington, R., Hutchison, S., & Sowa, D. (1986). Perceived organizational support. Journal of Applied Psychology, 71(3), 500-507.
    Facteau, J. D., Dobbins, G. H., Russell, J. E. A., Ladd, R. T., & Kudisch, J. D. (1995). The influence of general perceptions of the training environment on pretraining motivation and perceived training transfer. Journal of Management, 21(1), 1-25.
    Freeze, R. D., Alshare, K. A., Lane, P. L., & Wen, H. J. (2010). IS success model in e-learning context based on students' perceptions. Journal of Information Systems Education, 21(2), 173-185.
    Gagné, M., & Deci, E. L. (2005). Self-determination theory and work motivation. Journal of Organizational Behavior, 26, 331-362.
    Gegenfurtner, A. (2011). Motivation and transfer in professional training: A meta-analysis of the moderating effects of knowledge type, instruction, and assessment conditions. Educational Research Review, 6, 153-168.
    Gegenfurtner, A., Veermans, K., Festner, D., & Gruber, H. (2009). Motivation to transfer training: An integrative literature review. Human Resource Development Review, 20(10), 1-21.
    Hair, J. F., Black, B., Babin, B., Anderson, R. E., & Tatham, R. L. (1992). Multivariate Data Analysis (6th ed.). New York: Macmillan.
    Hill, T., Smith, N. D., & Mann, M. F. (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.
    Holton III, E. F. (1996). The flawed four-level evaluation model. Human Resource Development Quarterly, 7(1), 5-21.
    Holton III, E. F. (2005). Holton's evaluation model: New evidence and construct elaborations. Advances in Developing Human Resources, 7(1), 37-54.
    Holton III, E. F., Bates, R. A., & Ruona, W. E. A. (2000). Development of a generalized learning transfer system inventory. Human Resource Development Quarterly, 11(4), 333-359.
    Holton III, E. F., Chen, H. C., & Naquin, S. S. (2003). An examination of learning transfer System characteristics across organizational settings. Human Resource Development Quarterly, 14(4), 459-482.
    Horton, W. (2000). Designing web-based training: How to teach anyone anything, anywhere, anytime. New York: Wiley Online Library.
    Hsu, M.-H. & Chiu, C.-M. (2004). Internet self-efficacy and electronic service acceptance. Decision Support Systems, 38(3), 369-381.
    Huang, S. H., Ke, H. R., & Yang, W. P. (2005). Enhancing semantic digital library query using a content and service inference model (CSIM). Information Processing & Management, 41(4), 891-908.
    Hutchison, S. & Sowa, D. (1986). Perceived organization support. Journal of Applied Psychology, 71(3), 500-507.
    Johnson, R. D., Hornik, S., & Salas, E. (2008). An empirical examination of factors contributing to the creation of successful e-learning environments. International Journal of Human-Computer Studies, 66 (5), 356-369.
    Joo, Y. J., Lim, K. Y., & Park, S. Y. (2011). Investigating the structural relationships among organizational support, learning flow, learners’ satisfaction and learning transfer in corporate e-learning. British Journal of Educational Technology, 42(6), 973–984.
    Jöreskog, K. G. and Sorbom, D. (2000). LISREL VI, Analysis of Linear Structural Relationships by Maximum Likelihood, Instrumental Variables, and Least Squares Methods (7th ed.). Mooresville: Scientific Software.
    Kan, G. F., Moon, J. J., & Rho, J. J. (2011). E-learning motivation and educational portal acceptance in developing countries. Online Information Review, 35(1), 66-85.
    Kauffeld, S., Bates, R. A., Holton III, E. F., & Muller, A. C. (2008). The german version of the learning transfer systems inventory (GLTSI): Psychometric validation. Personal Psychologie, 7(2), 50-69.
    Khasawneh, S., Bates, R. A., & Holton III, E. F. (2006). Construct validation of an arabic version of the learning transfer system inventory for use in Jordan. International Journal of Training and Development, 10 (3), 180-194.
    Kim, H. (2004). Transfer of training as a sociopolitical process. Human Resource Development Quarterly, 15(4), 497-501.
    King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information & Management, 43(6), 740-755.
    Kirkpatrick, D. L. (1967). Evaluation of training. In R. L. Craig (Ed.), Training and Development Handbook (pp.86-112). New York: McGraw-Hill.
    Lai, J. Y., & Chen, W. W. (2009). Measuring e-business dependability: The employee perspective. The Journal of Systems and Software, 82, 1046-1055.
    Landrum, H., Praybutok, V. R., Keppelman, L. A., & Zhang, X. (2008). Servcess: A parsimonious instrument to measure service quality and information system success. The Quality Management Journal, 15(3), 17-25.
    Lee - Post, A. (2009). E-learning success model: An information systems perspective. Electronic Journal of e-Learning, 7(1), 61-70.
    Lee, J. K. & Lee, W. K. (2008). The relationship of e-learner’s self-regulatory efficacy and perception of e-learning environmental quality. Computers in Human Behavior, 24(1), 32-47.
    Lim, H., Lee, S. G. & Nam, K. (2007). Validating e-learning factors affecting training effectiveness. International Journal of Information Management, 27, 22–35.
    Long, L. K. & Smith, R. D. (2004). The role of web-based distance learning in hr development. The Journal of Management Development, 23(3), 270-284.
    Ma, W. W., Andersson, R., & Streith, K. (2005). Examining user acceptance of computer technology: An empirical study of student teachers. Journal of Computer Assisted Learning, 21(6), 387-395.
    MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Method, 1, 130-149.
    Makanjee, C. R., Hartzer, Y. F., & Uys, I. L. (2005). The effect of perceived organizational support on organizational commitment of diagnostic imaging radiographers. Radiography, 12, 118-126.
    Marakas, G. M., Yi, M. Y., & Johnson, R. D. (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.
    Marakas, G., Johnson, R., & Clay, R. F. (2007). The evolving nature of the computer self-efficacy construct: An empirical investigation of measurement construction, validity, reliability and stability over time. Journal of the Association for Information Systems, 8(1/2), 16-46.
    Marsh, H. W. & Hocevar, D. (1985). Application of confirmatory factor analysis to the study of self-concept: First-and higher order factor models and their invariance across groups. Psychological Bulletin, 97, 562–582.
    Mbarek, R. (2011). Individual and perceptual characteristics influences on e-learning outcomes. Communications of the IBIMA, 2011, 1-13.
    McGuire, D & Gubbins, C. (2010). The slow death of formal learning: A polemic. Human Resource Development Review, 9(3), 249-265.
    Min, Q., Ji, S., & Qu, G. (2008). Mobile commerce user acceptance study in china: A revised UTAUT model. Tsinghua Science & Technology, 13(3), 257-264.
    Moitra, S.(1976). A pre-program evaluation model determining training effectiveness based on expectancy theory of work motivation (Doctoral Dissertation, University of Tennessee, 1996). Dissertation Abstracts International, 42, 1455.
    Moon, J. W., & Kim, Y. G. (2001). Extending the tam for a world wide web context. Information and Management, 38(4), 217-230.
    Netemeyer, R. G., Bearden, W. O., & Sharma, S. (2003). Scaling procedures: Issues and applications. London: Sage Publications, Inc.
    Newbert, S. L. (2008). Value, rareness, competitive advantage, and performance: A conceptual-level empirical investigation of the resource-based view of the firm. Strategic Management Journal, 29(7), 683-791.
    Newstorm, J. W. (1978). Catch-22: The problems of incomplete evaluation of training. Training and Development Journal, 32(11), 22-24.
    Nijman, D. J. J. M., Nijhof, W. J., Wognum, A. A. M., & Veldkamp, B. P. (2006). Exploring differential effects of supervisor support on transfer of training. Journal of European Industrial Training, 30(7), 529–549.
    Noe, R. A. & Colquitt, J. A. (2002). Planning for training impact: Principles of training effectiveness. In K. Kraiger (Ed.), Creating, Implementing, and managing effective training and development (pp. 53-79). San Francisco, CA: Joessey-Bass.
    Noe, R. A. & Schmitt, N. (1986). The Influence of trainee attitudes on training effectiveness: Test of a model. Personnel Psychology, 39(3), 497-523.
    Noe, R. A. (1986). Trainees’ Attributes and attitudes: Neglected influences on training effectiveness. Academy of Management Review, 11(4), 736-749.
    Ozkan, S., Koseler, R., & Baykal, N. (2009). Evaluating learning management systems: Adoption of hexagonal e-learning assessment model in higher education. Transforming Government: People, Process and Policy. Bradford, 3(2), 111-130.
    Paechter, M., Maier, B., & Macher, D. (2010). Students’ expectations of, and experiences in e-learning: Their relation to learning achievements and course satisfaction. Computers & Education, 54(1), 222-229.
    Park, J. H. & Wenlting, T. (2007). Factors associated with transfer of training in workplace e-learning. Journal of Workplace Learning, 19(5), 293-311.
    Parka, N., Romanb, R., Leec, S., & Chungd, J. E. (2009). User acceptance of a digital library system in developing countries: An application of the technology acceptance model. International Journal of Information Management, 29, 196-209.
    Peters, S., Barbier, M., Faulx, D., & Hansez, I. (in press). Learning and motivation to transfer after an e-learning programme: Impact of trainees’ motivation to train, personal interaction and satisfaction. Innovations in Education and Teaching International. Retrived from http://hdl.handle.net/2268/68369
    Pineda-Herrero, P., Quesada, C., & Stoian, A. (2011). Evaluating the efficacy of e-learning in Spain: A diagnosis of learning transfer factors affecting e-learning. Procedia - Social and Behavioral Sciences, 30, 2199-2203.
    Podsakoff, P. M., MacKenzie, S. B., Lee, J.Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88, 879-903.
    Popescu, L., Popescu, V., & Iancu, A. (2010). The economic impact of employer investment in training. Economics, Management & Financial Markets, 5(1), 170-175.
    Popper, M. & Lipshitz, R. (2000). Organizaitonal learning: Mechanisms, culture, and feasibility. Management Learning, 31(2), 181-196.
    Quin ̃ones, M. A. (1997). Contextual influences on training eddectiveness. In M. A. Quin ̃ones & A. Ehrenstein (Eds.). Training for a rapidly changing workplace (pp. 177-200). Washington, DC: American Psychological Association.
    Quin ̃ones, M. A., Ford, J. K., Sego, D. J., & Smith, E. M. (1995). The effect of individual and transfer environment characteristics on the opportunity to perform trained tasks. Training Research Journal, 1, 29-48.
    Rhoades, L. & Eisenberger, R. (2002). Perceived organizational sup- port: A review of the literature. Journal of Applied Psychology, 87, 698-714.
    Roca, J. C., Chiub, C. M., & Martineza, F. J. (2006). Understanding e-learning continuance intention: An extension of the technology acceptance model. International Journal of Human-Computer Studies, 64, 68-696.
    Rosenberg, M. J. (2000). E-Learning: Strategies for delivering knowledge in the digital age. New York: McGraw-Hill.
    Rosenberg, M. J. (2006). Beyond e-learning: Approaches and technologies to enhance organizational knowledge, learning, and performance. New York: Pfeiffer.
    Rossin, D., Ro, Y. K., Klein, B. D., & Guo, Y. M. (2008). The effects of flow on learning outcomes in an online information management course. Journal of Information Systems Education, 20(1), 87-98.
    Santos, J. R. A. (1999). Cronbach's alpha: A tool for assessing the reliability of scales. Journal of Extension, 37(2), 1-6.
    Schmidt, S. W. (2007). The relationship between satisfaction with workplace training and overall job satisfaction. Human Resource Development Quarterly, 18(4), 481-498.
    Schweizer, H. (2004). E-learning in business. Journal of Management Education, 28, 674-692.
    Settoon, R. P., Bennett, N., & Liden, R. C. (1996). Social exchange in organizations: Perceived organizational support, leader-member exchange, and employee reciprocity. Journal of Applied Psychology, 81, 219-227.
    Seyler, D. L., Holton, E. F. III, Bates, R. A., Burnett, M. F., & Carvalho, M. A. (1998). Factors affecting motivation to transfer training, International Journal of Training and Development, 2(1), 2-16.
    Shore, L. & Tetrick, L. E. (1991). A construct validity study of the survey of perceived organizational support. Journal of Applied Psychology, 76, 637-643.
    Slotte, V. & Herbert, A. (2006). Putting professional development online: Integrating learning as productive activity. Journal of Workplace Learning, 18, 235-247.
    Sun, P. C., Tsai, R. J., Finger, Glenn, Chen, Y. Y., & Yeh, D. (2008). What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction. Computers & Education, 50(4), 1183-1202.
    Tracey, J. B., Tannenbaum, S. I., & Kavanagh, M. J. (1995). Applying trained skills on the job: The importance of the work environment. Journal of Applied Psychology, 80(2), 239-252.
    Tynjälä, P., & Häkkinen, P. (2005). E-learning at work: Theoretical underpinnings and pedagogical challenges. The Journal of Workplace Learning, 17(5/6), 318–336.
    Velada, R., & Caetano, A. (2007). Training transfer: The mediating role of perception of learning. Journal of European Industrial Training, 31(4), 283-296.
    Venkatesh, V. & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
    Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
    Vroom, V. H. (1981). The nature of the relationship between motivation and performance. In V. H. Vroom & E. L. Deci (Eds.), Management and motivation (8th ed.) (pp.229-236). New York: Penguin Books.
    Wang, M. (2011). Integrating organizational, social, and individual perspectives in Web 2.0-based workplace e-learning. Information Systems Frontiers, 13(2), 191-205.
    Wang, M., Ran, W., Liao, J., & Yang, S. J. H. (2010). A performance-oriented approach to e-learning in the workplace. Educational Technology & Society, 13(4), 167-179.
    Wang, Y. S., Wang, H. Y., & Shee, D. Y. (2007). Measuring e-learning systems success in an organizational context: Scale development and validation. Computers in Human Behavior, 23(4), 1792–1808.
    Wasti, S. A. & Can, O. (2008).Affective and normative commitment to organization, supervisor, and coworkers: Do collectivist values matter? Journal of Vocational Behavior, 73, 404-413.
    Werner, J. M. & DeSimone, R. L. (2006). Human Resource Development (5th ed.). Mason, OH: South-Western Publishing.
    Wexley, K.R. & Latham, G.P. (1991). Developing and training human resources in organisations. New York: Harper Collins.
    Wild, R. H., Griggs, K. A., & Downing, R. (2002). A framework for e-learning as a tool for knowledge management. Industrial Management & Data Systems, 102(7), 371-380.
    Wu, D., Hiltz, S., & Bieber, M. (2009). Acceptance of educational technology: Field studies of asynchronous participatory examinations. Communications of AIS, 26, 451-476.
    Yaghi, A., Goodman, D., Holton III, E. F., & Bates, R. A. (2008). Validation of the learning transfer system inventory: A study of supervisors in the public sector in Jordan. Human Resource Development Quarterly, 19(3), 241-262.
    Yamnill, S., & McLean, G. N. (2005). Factors affecting transfer of training in Thailand. Human Resource Development Quarterly, 16(3), 323-344.
    Yelon, S., Sheppard, L., Sleight, D., & Ford, J. K. (2004). Intention to transfer: How do autonomous professionals become motivated to use new ideas? Performance Improvement Quarterly, 17(2), 82-103.

    下載圖示
    QR CODE