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研究生: 丘一君
Chiu, Yi-Chun
論文名稱: 成人付費及持續使用數位學習意願之影響因素探討─以中小企業網路大學校為例
Affect Factors of Paid & Continued Willingness for Adult to Use e-Learning - The Case of SME e-Learning Project
指導教授: 張基成
Chang, Chi-Cheng
學位類別: 碩士
Master
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: 76
中文關鍵詞: 數位學習持續使用意願付費意願
英文關鍵詞: e-learning, continued willingness to use, willingness to pay
論文種類: 學術論文
相關次數: 點閱:302下載:35
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  • 本研究主要藉由政府所建構的數位學習入口網-中小企業網路大學校,以實證研究方式,探討成人付費及持續使用數位學習意願之影響因素。以資訊系統成功修正模式(Revised ISSM)、創新擴散(DOI)等觀點為探討因素基礎架構,並參酌數位學習的特性及有關文獻,分課程與系統、學習者認知二個構面推導八項可能影響因素並提出研究模型。藉問卷調查,分高、低參與度二群進行統計分析。
    研究結果顯示:持續使用意願之影響因素會因參與度而有差異。高參與度者的持續使用意願會受「課程彈性」、「相對利益」、「自我效能」正向影響,而「與他人互動」則會負向影響。低參與度者的持續使用意願則會受「課程彈性」、「系統品質」、「相對利益」、「相容性」及「自我效能」正向影響。此外在兩群體中,持續使用意願將正向影響付費意願;而付費意願在低參與度群體中會負向影響持續使用意願,高參與度群體中則無顯著影響。
    藉由本研究之架構釐清影響付費意願及持續使用意願之因素,可為業者經營數位學習及提供未來研究之參考。

    This study is based on the project-Portal-SME e-Learning, which is a portal website constructed (build) by the Government, and use the empirical way to explore the factors for e-Learning users’ willingness to paid and continues use, such as Revised ISSM, DOI. Also, refer to the characteristic of e-Learning, this study proposed a research model which conduct eight possibilities to affect the willingness to pay and continues use in two aspects: course and system, and users’ cognition. In addition to, questionnaire in different engagement levels of participant is also the basis of analysis.
    In this study, it shows: The continued willingness to use of the services can be differed by the level of engagement. “Interaction with others” will be the positive effect for highly engaged participant to pay. As to their willingness to continue the use, “course flexibility”, “relative benefits” and the “self-efficacy” will be the positive effect, on the contrary, “interaction” is the negative effect. Meanwhile, the willingness to continues use is affected by “course flexibility”, “the quality of system”, “relative benefits”, ”compatibility”, and the “self-efficacy”. However, the willingness to pay is positive affected by the continued willingness to use, and the willingness to pay will be the negative effect for lowly engaged participant, and there is no obvious relations between the willingness to pay and continues use of the services for the other.
    This study is to clarify the factors of the users’ willingness to pay and continue to use, which also can be a reference for business of e-Learning and even the future research.

    謝 誌 i 中文摘要 iii 英文摘要 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 研究目的與問題 2 第三節 名詞釋義 3 第四節 研究範圍與限制 4 第二章 文獻探討及研究假說 5 第一節 資訊系統成功修正模式與影響因素 5 第二節 創新擴散與影響因素 6 第三節 自我效能與影響因素 8 第四節 影響因素及假說推演 9 第三章 研究方法與設計 17 第一節 研究流程與步驟 17 第二節 研究架構 18 第三節 研究變項定義與衡量 18 第四節 資料蒐集與分析工具 20 第四章 資料分析 25 第一節 樣本基本資料分析 25 第二節 模型信度與效度 33 第三節 模型假說檢定 36 第五章 結論與建議 45 第一節 研究結論 45 第二節 研究貢獻 54 第三節 研究限制及建議 55 參考文獻 59 附  錄 65 附錄一 研究問卷 67 附錄二 中小企業網路大學校學員學習行為經驗值計算表 70 附錄三 問卷預試各研究變項之信度分析表 71 附錄四 問卷預試各研究變項之效度分析表 72 附錄五 各研究變項因素負荷量與交叉負荷量矩陣 73 附錄六 高低參與者回應不願意付費學習因素歸納對照表 74

    Arbaugh, J. B., & Duray, R. (2002). Technological and structural characteristics, student learning and satisfaction with web-based courses: An exploratory study of two on-line MBA programs.
    Management Learning, 33(3), 331-347.
    Bandura, A. (2005). The primacy of self-regulation in health promotion.
    Applied Psychology: An International Review, 54(2), 245-254.
    Barroso, C., Carrión, G. C., & Roldán, J. L. (2010). Handbook of partial least squares. New York: Springer Publisher.
    Beasley, N., & Smyth, K. (2004). Expected and actual student use of an online learning environment: A critical analysis. Electronic Journal on e-Learning, 2(1), 43-50.
    Bharati, P., & Chaudhury, A. (2004). An empirical investigation of decision-making satisfaction in web-based decision support systems.
    Decision Support Systems, 37(2), 187-197.
    Burnham, T. A., Frels, J. K., & Mahajan, V. (2003). Consumer switching costs: A typology, antecedents and consequences. Academy of Marketing Science, 31(2), 109-126.
    Chang, S. C., & Tung, F. C. (2008). An empirical investigation of students’ behavioural intentions to use the online learning course websites. British Journal of Educational Technology, 39(1), 71-83.
    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, 1628-1639.
    Chiu, C. M., & Wang, E. T. G. (2008). Understanding web-based learning continuance intention: The role of subjective task value. Information & Management, 45, 194-201.
    Cooper D., & Schindler, P. (2010). Business research methods. New York:McGraw-Hill Companies.
    Craig, V. S., France, B., & Christie, L. C. (2004). Factors influencing the adoption of web-based shopping: The impact of trust. ACM SIGMIS Database, 35(2), 32-49.
    DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean
    model of information systems success: A ten-year update, Journal of Management Information Systems, 19(4), 9-30.
    Elsayed, A., Hartley, R., & Qiu, Y. (2005, January). Multimodal communication and articulation in e-Learning. Paper presented in the 3rd ACS/IEEE International Conference on Computer Systems and Applications (AICCSA). Cairo, Egypt.
    Flavian, C., Guinaliu, M., & Gurrea, R. (2006). The role played by perceived usability, satisfaction and consumer trust on website loyalty. Information & Management, 43, 1-14.
    Grueskin, B., Seave, A., & Graves, L. (2011). The story so far: what we know about the business of digital journalism. Columbia : Columbia Journalism School Tow Centre for Digital Journalism. Hamid, A. A. (2002). E-learning is it the ‘e’ or the learning that matters?.
    The Internet and Higher Education, 4, 311-316.
    Hellier, P. K., Geursen, G. M., Carr, R. A., & Richard, J. A. (2003).
    Customer repurchase intention: A general structural equation model.
    European Journal of Marketing, 37(11), 1762-1800.
    Hensley, G. (2005). Creating a hybrid college course: Instructional design notes and recommendations for beginners. MERLOT Journal of Online Learning and Teaching, 1(2), 1-5.
    Johnson, D. M., Herrmann, A., & Huber, F. (2006). The evolution of loyalty intentions. Journal of Marketing, 70, 122-132.
    Jones, H., & Farquhar, J. D. (2003). Contact management and customer loyalty. Journal of Financial Services Marketing, 8(1), 71-78.
    Kim, H.-W., Chan, H. C., & Gupta, S. (2007). Value-based adoption of mobile internet: An empirical investigation. Decision Support Systems,43, 111-126.
    Lee, M. C. (2010). Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation-confirmation model. Computers & Education, 54, 506-516.
    Lee, M. C., & Hwan, I. S. (2005). Relationships among service quality,customer satisfaction and profitability in the Taiwanese banking industry. International Journal of Management, 22(4), 635-648.
    Liao, H. L., & Lu, H. P. (2008). The role of experience and innovation characteristics in the adoption and continued use of e-learning websites, Computers & Education, 51, 1405-1416.
    Liu, I.-F., Chen, M. C., Sun, Y. S., Wible, D., & Kuo, C.-H. (2010).
    Extending the TAM model to explore the factors that affect intention
    to use an online learning community. Computers & Education, 54,600-610.
    May So, W. C., Wong, T. N. D., & Sculli, D. (2005). Factors affecting intentions to purchase via the internet. Industrial Management & Data Systems, 105(9), 1225-1244.
    Murray, C. E. (2009). Diffusion of innovation theory: A bridge for the research–practice gap in counseling. Journal of Counseling & Development, 87, 108-116.
    Park, S. Y. (2009). An analysis of the technology acceptance model in understanding university students’ behavioral intention to use e-learning. Educational Technology & Society, 12(3), 150–162.
    Peng, H., Tsai, C.-C., & Wu, Y.-T. (2006). University students’ self-efficacy and their attitudes toward the Internet: The role of students’ perceptions of the Internet. Educational Studies, 32(1),73-86.
    Pituch, K. A., & Lee, Y.-K. (2006). The influence of system
    characteristics on e-learning use. Computers & Education, 47,222-244.
    Roca, J. C., Chiu, C. M., & Martínez, F. J. (2006). Understanding
    e-learning continuance intention: An extension of the Technology
    Acceptance Model. International Journal of Human Computer
    Studies, 64, 683-696.
    Rodgers, W., Negash, S., & Suk, K. (2005). The moderating effect of online experience on the antecedents and consequences of online satisfaction. Psychology and Marketing, 22(4), 313-331.
    Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York: Free
    Press.Shih, H.-P. (2008). Using a cognition-motivation-control view to assess the adoption intention for web-based learning. Computers & Education, 50, 327-337.
    Sun, P.-C., Tsai, R. J., Finger, G., Chen, Y.-Y., & Yeh, D. (2008). What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction. Computer & Education, 50, 1183-1202.
    Tan, S.-C., Chai, C.-S., Tsai, C.-C., Lim, C.-P., & Chou, C.-H. (2012).
    Learning sciences research in Asia Pacific countries from 1997 to 2010: A content analysis of publications in selected journals. The Asia-Pacific Education Researcher, 21(1), 4-14.
    Thong, J. Y. L., Hong, S.-J., & Tam, K.Y. (2006). The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. International Journal of Human Computer Studies, 64, 799-810.
    Van Slyke, C., Belanger, F., & Comunale, C. L. (2004). Factors
    influencing the adoption of web-based shopping: The impact of trust.
    Database for Advances in Information Systems, 35(2), 32-49.
    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 Behavio, 23, 1792-1808.
    Wong, M. S.-L. (2005). Language learning strategies and language
    self-efficacy: Investigation the relationship in Malaysia. Regional
    Language Centre Journal, 36(3), 245-269.
    Wu, C.-H., Kao, S.-C., & Shih, L.-H. (2010). Assessing the suitability of
    process and information technology in supporting tacit knowledge
    transfer. Behavior and Information Technology, 29(5), 513-525.
    Wu, J., Tsai, R. J., Chen, C. C., & Wu, Y. (2006). An integrative model to
    predict the continuance use of electronic learning systems: Hints for
    teaching. international. International Journal on E-Learning, 5(2),
    287-302.
    Wu, Y.-T., & Tsai, C.-C. (2006). University students’ internet attitudes and
    internet self-efficacy: A study at three universities in Taiwan.
    CyberPsychology and Behavior, 9(4), 441-450.
    Zhang, L., Wen, H., Li, D., Fu, Z., & Cui, S. (2010). E-learning adoption
    intention and its key influence factors based on innovation adoption
    theory. Mathematical and Computer Modelling, 51, 1428-1432.
    Zhou, L., & Wong, A. (2008). Exploring the influence of product
    conspicuousness and social compliance on purchase motives of young
    Chinese consumers for foreign brands. Journal of Consumer Behavior,
    7, 470-483.
    Žvanut B., Pucer P., Licen S., Trobec I., Plazar N., & Vavportic D. (2011).
    The effect of voluntariness on the acceptance of e-learning by nursing
    students. Nurse Education Today, 31, 350-355.

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