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研究生: 翁少庭
Weng, Shao-Ting
論文名稱: 以信任建立模型探討大學生對遠距教學平台之信任感
A Study on College Students’ Trust in the Distance Learning System based on the Trust Building Model
指導教授: 李懿芳
Lee, Yi-Fang
學位類別: 碩士
Master
系所名稱: 工業教育學系
Department of Industrial Education
論文出版年: 2019
畢業學年度: 107
語文別: 中文
論文頁數: 129
中文關鍵詞: 信任建立模型偏最小平方法結構方程模型遠距教學平台數位學習
英文關鍵詞: Trust Building Model, Partial Least Squares Method, Structural Equation Modeling, Distance Learning System, Digital Learning
DOI URL: http://doi.org/10.6345/NTNU201900595
論文種類: 學術論文
相關次數: 點閱:186下載:0
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  • 隨著高速網路的普及與雲端技術的快速發展,大學生的學習方式也隨之改變,使用數位平台已成為目前遠距學習常見的方式之一,惟使用者在數位媒介中未能與實體有直接接觸的機會,其對平台的信任感是否會影響使用者的行為,值得進一步探究。有鑑於此,本研究以信任建立模型(Trust Building Model, TBM)為理論基礎,包括信任的前置因素、信任和行為意圖三個階段,此模型將大學生對遠距教學平台的信任分為四類變項:「建立信任方式」、「對網站的信任」、「制度結構因素」和「行為意圖」。本研究以結構式問卷調查法進行資料收集,於2019年2月1日至3月1日採立意取樣方式進行問卷施測,對象為臺灣北區某綜合大學具有使用遠距教學平台修課經驗之大學生,回收樣本共計445份,並使用結構方程模型,針對研究假說進行檢驗。結果顯示,本研究各變項間關係之驗證結果符合信任建立模型理論,模型中13項關聯有顯著影響;其中又以下列三個關係最為顯著:「感知遠距教學平台的聲譽」對「教學平台的信任信念」、「感知教學平台的品質」對「對網站的信任」、「教學平台的信任信念」對「依循教學平台所提供的建議」。根據研究發現,本研究提出4項對教學平台具體建議:1.宜提升大學生對遠距教學平台之信任感;2.宜積極經營、維護與強化平台內容與功能,以提升遠距教學平台品質;3.宜廣為推廣與行銷教學平台,提升平台聲譽;4.宜提升教學平台的保護技術結構,提供完善的資料風險管理與保護。

    As the rapid development of cloud technology and the popularization of high-speed internet, learning methods of students in college changed accordingly. The digital platform has already become the most common way to conduct distance learning. We still need to conduct further research to see if the trust for the platform would affect the behaviors of users. For this reason, the theoretical basis of this study is based on the Trust Building Model (TBM), which includes three steps: antecedent factors, trust and behavioral intentions. This model categorizes the trust of college students in distance learning systems into four variables: “Trust Building Levers”, ”Trust in Websites”, ”Institutional / Structural Factors” and ”Behavioral Intention”. The data collection was conducted via the structured questionnaire survey in this study. From 1st February 2019 to 1st March 2019, purposive sampling was used to conduct the questionnaire survey. The subjects of survey were focused on college students in a certain comprehensive university in the north of Taiwan, who have experience in taking course on the distance learning system. A total of 445 samples were collected, with structural equation modeling of principle components being used to inspect the research hypotheses. According to the result of study, we’ve proved that the test result of relationship between each variable corresponds to the TBM. There are 13 relevant items in the model having the significant effect. Among which, three items have the most significant effect, which includes: “Perception on the reputation of distance learning systems” to ”Belief and trust in learning systems”, ”Perception on the quality of learning systems” to ” Trust in the websites” and ” Belief and trust in learning systems” to ”Following the suggestions provided by the learning systems”. According to the discovery of this study, we proposed four concrete advice for learning systems: 1. Fortify the trust of college students in the distance learning system; 2. Aggressively run, maintain and improve the content and functions of systems in the hope of increasing the quality of distance learning systems; 3. Recommended to promote and conduct marketing of learning systems in order to elevate its reputation; 4. Recommended to improve the protection and technology structure of learning systems and provide perfect data risk management and protection.

    摘要 i Abstract ii 目次 iv 表次 vi 圖次 viii 第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的 3 第三節 名詞釋義 4 第四節 研究流程 9 第五節 研究範圍與限制 12 第二章 文獻探討 15 第一節 遠距教學 15 第二節 信任建立模型 21 第三節 信任模型相關研究 28 第三章 研究設計與實施 39 第一節 研究架構與方法 39 第二節 研究假設 41 第三節 研究對象 46 第四節 研究工具 47 第五節 資料分析方法與研究倫理 60 第四章 研究結果與討論 67 第一節 樣本及各變項的描述統計分析 67 第二節 信任建立模型之信度與效度分析 75 第三節 信任建立模型之適配度分析 91 第四節 結果討論 101 第五章 結論與建議 111 第一節 結論 111 第二節 建議 113 參考文獻 117 附錄一 大學生對遠距教學平台信任感問卷 125 附錄二 以遠距教學平台研究之授權同意書 129

    中文部分
    大專院校校務資訊公開平台(2019)。學1-2正式學籍在學學生人數-以「校(含學制班別)」統計。取自https://udb.moe.edu.tw/Index
    王全世(2000)。資訊科技融入教學之意義與內涵。國立高雄師範大學,高雄市。
    王存國(1997)。資訊密度在組織特性與資訊科技角色間的中介性。第八屆國際資訊管理學術研討會論文集(一),1,169-176。
    何榮桂(2014)。大規模網路開放課程(MOOCs)的崛起與發展。台灣教育,686(1),2-8。
    吳統雄(1985)。態度與行為研究的信度與效度:理論, 應用, 反省。民意學術專刊 夏季號,1,29-53。
    林心慧、盧希鵬(2004)。網路經濟環境之網站品牌權益衡量模式-顧客基礎觀點。Electronic Commerce Studies,2(2),161-180。
    林天祐(1996)。認識研究倫理教育資料與研究,(12),57-63。
    姚永錩(2003)。遠距教學平台建置之關鍵成功因素探討:以中山遠距教學平台為例。國立中山大學,高雄市。
    祝道松、盧正宗、徐雅培(2007)。制度型信任機制與知覺風險影響網路消費者購物意圖之研究-以Yahoo!奇摩購物為例。電子商務學報,9(2),291-320。
    高海霞(2004)。消費者購買決策的研究—基於感知風險。企業經濟,1,92-93。
    張偉豪(2011)。SEM論文寫作不求人。臺北市:三星統計發行。
    教育部(2006)。教育部大學遠距教學實施辦法。臺北市。
    教育部(2014)。教育部數位學習推動計畫。臺北市。
    教育部(2010)。教育部數位學習碩士在職專班申請審核及認證作業要點。臺北市。
    許正妹、張奕華(2005)。教學平台發展與設計之研究:以Blackboard和中山遠距教學平台為例。教育研究與發展期刊,1,177-206。
    許成之(1998)。論我國遠距教育的發展空間。隔空教育論叢,10,31-51。
    陳世敏(1988)。隔空教學的本質 創刊號,1,1-10。
    陳邦正(2009)。從資安看如何防止公務機密資料外洩。人事月刊。取自https://www.dgpa.gov.tw/archive?uid=123
    陳宜棻、劉璧瑩(2010)。結合服務品質與TAM觀點探討消費者線上信任及購買意願之影響因素。顧客滿意學刊,6(1),1-32。
    陳美芬、李憲忠(2012)。旅遊網站品質,品牌形象與網路購買意願之關聯研究。運動與遊憩研究,6(4),58-76。
    陳順宇(2005)。多變量分析。臺北市:華泰書局。
    彭耀政(2001)。網際網路中多媒體技術應用於海洋環境教育基本架構之研究。國立中山大學,高雄市。
    黃國禎、蘇俊銘、陳年興(2015)。數位學習導論與實務(第二版)。 新北市:博碩文化股份有限公司。
    財團法人資訊工業策進會(2003)。資策會專科以上學校開辦遠距教學作業要點。臺北市。
    廖益興、陳彥綺、王貞靜(2011)。年報資訊揭露與資訊不對稱:來自私有資訊交易之證據。經濟研究,47(1),45-96。
    廖漢君、曾光輝(2017)。電子商務網站經營與管理:osCommerce。臺北市:碁峰資訊。
    臺灣資安年鑑(2019)。2019臺灣資安年鑑。臺北市:電週文化事業股份有限公司。
    蕭文龍(2013)。統計分析入門與應用:SPSS中文版+PLS-SEM (SmartPLS)。臺北市:碁峯資訊。
    蘇懿、黃怡芳、鄭舜仁(2015)。影響消費者網路購物付款方式之研究。全球商業經營管理學報,7(1),109-121。

    英文部分
    Abratt, R., & Kleyn, N. (2012). Corporate identity, corporate branding and corporate reputations: Reconciliation and integration. European Journal of Marketing, 46(7/8), 1048-1063.
    Akter, S., D'Ambra, J., & Ray, P. (2011). Trustworthiness in mhealth information services: An assessment of a hierarchical model with mediating and moderating effects using partial least squares (PLS). Journal of the American society for Information Science and Technology, 62(1), 100-116.
    American Society for Training and Development, ASTD (2012). E-learning. 2018/12/31, Retrieved from: http://www.learningcircuits.org/glossary
    Bilgihan, A. (2016). Gen Y customer loyalty in online shopping: An integrated model of trust, user experience and branding. Computers in Human Behavior, 61, 103-113.
    Bouzon, M., Govindan, K., Rodriguez, C. M., & Campos, L. M.(2016). Identification and analysis of reverse logistics barriers using fuzzy Delphi method and AHP. Resources, Conservation and Recycling, 108, 182-197.
    Cadregari, C., & Cutaia, A. (2011). Every silver cloud has a dark lining: A primer on cloud computing, Regulatory and Data Security Risk. ISACA Journal, 3, 12.
    Carter, L., & Bélanger, F. (2005). The utilization of e‐government services: Citizen trust, innovation and acceptance factors. Information Systems Journal, 15(1), 5-25.
    Chaudhuri, A., & Holbrook, M. B. (2001). The chain of effects from brand trust and brand affect to brand performance: The role of brand loyalty. Journal of Marketing, 65(2), 81-93.
    Chen, C. (2000). Millennium elearning: The next killer application, implications for educators and information professionals. International Conference on Computer in Education Conference, 1(1), 13-21.
    Center and Dupree College of Management, GVU (2018). The GVU are pleased to announce the new and revitalized. 2018/12/31, Retrieved from https://www.cc.gatech.edu/gvu/user_surveys/
    Chen, J. V., Jubilado, R. J., Capistrano, E. P., & Yen, D. C. (2015). Factors affecting online tax filing: An application of the is success model and trust theory. Computers in Human Behavior, 43, 251-262.
    Chiang, C.-F., & Jang, S. S. (2007). The effects of perceived price and brand image on value and purchase intention: Leisure travelers' attitudes toward online hotel booking. Journal of Hospitality & Leisure Marketing, 15(3), 49-69.
    Chin, W. (1998). Issues and opinion on structural equation modeling management. Information Systems Quarterly, 22(1), 19-24.
    Chin, W. W. (1998), The partial least squares approach for structural equation modeling, in g. a. marcoulides (Ed.), Modern Methods for Business Research, Lawrence Erlbaum Associates, 1, 295-336.
    Chin, W. W., & Newsted, P. R. (1999). Structural equation modeling analysis with small samples using partial least squares. Statistical Strategies for Small Sample Research, 1(1), 307-341.
    Daigle, R. J., & Lampe, J. C. (2004). The impact of the risk of consequence on the relative demand for continuous online assurance. International Journal of Accounting Information Systems, 5(3), 313-340.
    DeCarlo, T. E., Laczniak, R. N., Motley, C. M., & Ramaswami, S. (2007). Influence of image and familiarity on consumer response to negative word-of-mouth communication about retail entities. Journal of Marketing Theory and Practice, 15(1), 41-51.
    Dobing, B. R. (1993). Building trust in user-analyst relationships. Doctoral dissertation, Information and Decision Sciences Department, University of Minnesota, Minneapolis, MN.
    Douglas, J., Douglas, A., & Barnes, B. J. (2006). Measuring Student Satisfaction at a UK University. 14(3), 251-267.
    Education, & Bruton G. (2006). US Department of Education. Notes, 4, 04.
    Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 382-388.
    Gefen, D. (2000). E-commerce: The role of familiarity and trust. Omega, 28(6), 725-737.
    Ginter, K. L., Shear, V. H., Spahn, F. J., Van Wie, D. M., & Weber, R. P. (2014). Trusted infrastructure support systems, methods and techniques for secure electronic commerce transaction and rights management. In: Google Patents.
    Google Scholar. (2018). The impact of initial consumer trust on intentions to transact with a web site: a trust building model. 2018/12/31, Retrieved from https://scholar.google.com.tw/scholar?q=trust+building+model
    Green, S.B., Salkind, N.J., & Akey, T.M. (2004). Using SPSS for Windows: Analyzing and understanding data (3nd ed.) In: Upper Saddle River, NJ: Pearson Prentice Hall.
    Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2014). Multivariate Data Analysis (Vol. 6). In: Upper Saddle River, NJ: Pearson Prentice Hall.
    Hancock, G. R., & Mueller, R. O. (2013). Structural equation modeling: A second course: Iap. Greenwich, CT: Information Age Publishing.
    Hopp, T., Santana, A., & Barker, V. (2018). Who finds value in news comment communities? An analysis of the influence of individual user, perceived news site quality, and site type factors. Telematics and Informatics, 2(1), 25-37.
    Innes, M. (2004). Signal crimes and signal disorders: Notes on deviance as communicative action. The British Journal of Sociology, 55(3), 335-355.
    Jarvenpaa, S. L., Tractinsky, N., & Vitale, M. (2000). Consumer trust in an Internet store. Information Technology and Management, 1(1-2), 45-71.
    Kalia, P., Law, P., & Arora, R. (2018). Determining impact of demographics on perceived service quality in online retail. In encyclopedia of Information Science and Technology, Fourth Edition (pp. 2882-2896): IGI Global.
    Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544-564.
    Kline, R. B.(2015). Principles and practice of structural equation modeling: Guilford publications. In: New York Guilford.
    Lang, M., Wiesche, M., & Krcmar, H. (2017). Conceptualization of relational assurance mechanisms: A literature review on relational assurance mechanisms, Their Antecedents and Effects, 3(4), 237-253.
    Lindgaard, G., Fernandes, G., Dudek, C., & Brown, J. (2006). Attention web designers: You have 50 milliseconds to make a good first impression! Behaviour and Information Technology, 25(2), 115-126.
    Lomax, R. G., & Schumacker, R. E. (2004). A beginner's guide to structural equation modeling: Psychology press. London, New Jersey: Mahwah.
    McKnight, D. H., & Chervany, N. L. (2001). What trust means in e-commerce customer relationships: An interdisciplinary conceptual typology. International Journal of Electronic Commerce, 6(2), 35-59.
    McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). The impact of initial consumer trust on intentions to transact with a web site: A trust building model. The Journal of Strategic Information Systems, 11(3-4), 297-323.
    McKnight, D. H., Cummings, L. L., & Chervany, N. L. (1998). Initial trust formation in new organizational relationships. Academy of Management Review, 23(3), 473-490.
    Menon, N. M., Konana, P., Browne, G. J., & Balasubramanian, S. (1999). Understanding trustworthiness beliefs in electronic brokerage usage. Paper presented at the Proceedings of the 20th international conference on Information Systems.
    Nilashi, M., Jannach, D., bin Ibrahim, O., Esfahani, M. D., & Ahmadi, H. (2016). Recommendation quality, transparency, and website quality for trust: Building in recommendation agents. Electronic Commerce Research and Applications, 19, 70-84.
    Nunnally, J. (1978). Psychometric methods. McGraw-Hill New York.
    Nunnally, J. C., & Bernstein, I. (1994). Psychometric theory (McGraw-Hill Series in Psychology) (Vol. 3). McGraw-Hill New York.
    NYSE:NLSN (2017). Online transaction. 2018/12/31, Retrieved from https://www.nyse.com/quote/XNYS:SE
    Oliveira, J., Giannetti, B., Agostinho, F., & Almeida, C. (2018). Decision making under the environmental perspective: Choosing between traditional and distance teaching courses. Journal of Cleaner Production, 172, 4303-4313.
    Park, J., Lee, H., & Kim, C. (2014). Corporate social responsibilities, consumer trust and corporate reputation: South Korean consumers' perspectives. Journal of Business Research, 67(3), 295-302.
    Pavlou, P. A., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS Quarterly, 115-143.
    Pirouz, D. M.(2006). An overview of partial least squares. 2018/12/31, Social Science. Research from http://ssrn.com/abstract=1631359
    Sethi, V., & Carraher, S. (1993). Developing measures for assessing the organizational impact of information technology: A comment on Mahmood and Soon's paper. Decision Sciences, 24(4), 867-877.
    Siemens, G., Gašević, D., & Dawson, S. (2015). Preparing for the digital university: blended and online learning. 2018/12/31, Retrieved from http://linkresearchlab.org/PreparingDigitalUniversity.pdf
    Stouthuysen, K., Teunis, I., Reusen, E., & Slabbinck, H. (2018). Initial trust and intentions to buy: The effect of vendor-specific guarantees, customer reviews and the role of online shopping experience. Electronic Commerce Research and Applications, 27, 23-38.
    Swaminathan, V., Lepkowska-White, E., & Rao, B. P. (1999). Browsers or buyers in cyberspace? An investigation of factors influencing electronic exchange. Journal of Computer-Mediated Communication, 5(2), JCMC523.
    Teoh, K.-K., & Cyril, E. U. (2008). The role of presence and para social presence on trust in online virtual electronic commerce. Journal of Applied Sciences, 16(8), 2834-2842.
    Wakefield, K. L., & Baker, J. (1998). Excitement at the mall: Determinants and effects on shopping response. Journal of Retailing, 74(4), 515-539.
    Wang, W. T., Wang, Y. S., & Liu, E. R. (2016). The stickiness intention of group-buying websites: The integration of the commitment–trust theory and e-commerce success model. Information & Management, 53(5), 625-642.
    Welsh, E. T., Wanberg, C. R., Brown, K. G., & Simmering, M. J. (2003). E‐learning: Emerging uses, empirical results and future directions. International Journal of Training and Development, 7(4), 245-258.
    Wetzels, M., Odekerken-Schroder, G., & van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS Quarterly, 33, 177-196.
    Wingo, N. P., Ivankova, N. V., & Moss, J. A. (2017). Faculty perceptions about teaching online: Exploring the literature using the technology acceptance model as an organizing framework. Online Learning, 21(1), 15-35.
    Wrightsman, L. S.(1991). Interpersonal trust and attitudes toward human nature. Psychological Reports, 14(1), 743-751.
    Yahia, I. B., Al-Neama, N., & Kerbache, L. (2018). Investigating the drivers for social commerce in social media platforms: Importance of trust, social support and the platform perceived usage. Journal of Retailing and Consumer Services, 41, 11-19.
    Zhang, L. C., & Worthington, A. C. (2017). Scale and scope economies of distance education in Australian universities. Studies in Higher Education, 42(9), 1785-1799.

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