隨著資訊科技及網際網絡的蓬勃發展下，網路成為人們生活不可或缺的一部分，當今是一個動盪且環境快速改變的世代，為跟上時代潮流，學習是重要關鍵，因此線上學習(e- Learning)必然會是一項趨勢。本研究針對一項國內知名知識分享學習平台進行問卷調查，收回345份有效問卷。本研究以 Davis (1989) 提出的 「科技接受模式」為主要架構，再以DeLone and McLean(2003)所提出的資訊系統成功模式當中的系統品質、資訊品質、服務品質為衡量該線上學習網站品質的依據，再加入了自我效能、成長需求這兩項變數，以探究對於使用意圖的影響。
結果發現 (1)知覺易用性對知覺有用性有正向影響 (2)知覺易用性對使用態度有正向影響 (3)知覺有用性對使用態度有正向影響 (4)知覺有用性對使用意向有正向影響 (5)使用態度對使用意向有正向影響 (6)系統品質對知覺有用性與知覺易用性有正向影響(7)資訊品質對知覺有用性與知覺易用性有正向影響 (8)服務品質對知覺易用性有正向影響，但對知覺有用性沒有顯著影響 (9)自我效能對知覺易用性有正向影響 (10)成長需求對知覺易用性、易用性與使用態度間沒有顯著關聯。

With the rapid development of information technology and the Internet, the Internet has become an indispensable part of people's lives. Today is a turbulent and rapidly changing generation. To keep up with the trend of the times, learning is an important key, so e-learning is bound to be a trend. This study conducted a questionnaire survey on a well-known knowledge sharing learning platform in China and retrieved 345 valid questionnaires. This study uses the "Technology Acceptance Model" proposed by Davis (1989) as the main framework, and then the quality of the online learning website is measured by the system quality, information quality and service quality in the successful information system proposed by DeLone and McLean (2003). Based on the two variables of self-efficacy and growth demand, we explore the impact on the intention of use.
The results show that (1) Perceive Ease of Use has a positive impact on Perceived Usefulness. (2) Perceive Ease of Use has a positive impact on usage attitude. (3) Perceptual usefulness has a positive effect on usage attitude. (4) Perceptual usefulness Sex has a positive effect on the intention to use (5) Attitude Toward Using has a positive impact on the intention to use (6) System quality has a positive impact on perceived usefulness and perceived ease of use (7) Information quality is perceived usefulness and perception Ease of use has a positive impact (8) Service quality has a positive impact on perceived ease of use, but has no significant effect on perceived usefulness (9) Self-efficacy has a positive impact on perceived ease of use (10) There was no significant correlation between perceived ease of use, ease of use, and attitude toward use.

第一章 緒論 1
第一節 研究背景 1
第二節 研究動機 5
第三節 研究目的 6
第四節 研究流程 7
第二章 文獻探討 9
第一節 線上學習 9
第二節 科技接受模式 14
第三節 自我效能 20
第四節 網站服務品質 26
第五節 成長需求 31
第六節 變數間關係與假設推導 36
第三章 研究方法 41
第一節 研究架構與研究假說 41
第二節 研究變數定義與衡量題項 43
第三節 資料蒐集方法 49
第四節 資料分析方法 49
第四章 資料分析與發現 51
第一節 樣本結構之敘述性統計分析 51
第二節 共同方法變異檢測 59
第三節 信度分析 60
第四節 效度分析 64
第五節 結構方程模式衡量分析 72
第六節 驗證調節效果 76
第五章 結論與建議 79
第一節 結論 79
第二節 研究限制與後續建議 81
參考文獻 83
附錄一、正式問卷 91

中文部分

李威德 (2008)，網路線上學習之顧客滿意度及使用意圖研究，國立東華大學企業管理學系碩士在職專班，碩士論文。
沈旭豐 (2008)。以科技接受模式探討數位學習之學習滿意及購買意願。國立東華大學企業管理學系碩士在職專班，碩士論文。
周君倚、陸洛（2014），『以科技接受模式探討數位學習系統使用態度－以成長
洪新原、梁定澎、張嘉銘（2005），『科技接受模式之彙總研究』，資訊管理學報，第十二卷，第四期，頁 211-234。
需求為調節變項』，資訊管理學報，第二十一卷，第一期，83-106。
彭台光，高月慈，林鈺琴 (2006)。管理研究中的共同方法變異:問題本質、影響、測試與補救。管理學報，23(1)，77-98。


英文部分

Adel M. Aladwani and Prashant C. Palvia (2002).Developing and validating an instrument for measuring user-perceived web quality. Information & Management 39 (P467–476).

Ajzen, I., & Driver, B.L. (1992). Application of the theory of planned behavior to leisure choice. Journal of Leisure Research, 24, 207-224.

Ajzen, I., & Fishbein, M. (1980), Understanding Attitudes and Predicting Social Behavior. NJ: Prentice Hall.

Ajzen, I. (1985). From intentions to action: A theory of planned behaviour. In Kuhl, J., & Beckmann, J. (Eds.), Action-control: From cognition to behaviour. (pp.11-39).Heidelberg: Springer-Verlag.

Ajzen, I., & Madden, T. J. (1986). Prediction of goal-directed behavior:Attitudes, intentions and perceived behavioral control. Journal of Experimental Social Psychology, 22, 453-474.

Ajzen, I. (1988). Attitudes, Personality, and Behavior. Chicago, IL: The
Dorsey Press.
Ajzen, I. (1989). Attitude structure and behavior. In Breckler, S. J., &
Greenwald, A. G. (Eds.). Attitude Structure and Function, 241-274. Lawrence Erlbaum, Hillsdale, NJ.

Ajzen, I. (1991). The theory of planning behaviour. Organizational Behavior and the Human Decision Process, 50, 179-211.

Ajzen, I. (1988), Attitudes, Personality and Behavior, Open University Press, Milton Keynes, England.

Ajzen, I. and Fishbein, M. (1980), Understanding Attitudes and Predicting Social Behaviour, Prentice-Hall, Eaglewood Cliffs, NJ.

Aladwani, M. A. and Palvia, C. P. (2002), “Developing and validating an instrument for measuring user-perceived web quality,” Information and Management, Vol. 39, No. 6, pp. 467-476.

Albert Bandura (1977). Self-efficacy: Toward a Unifying Theory of Behavioral Change. Psychological Review, Vol. 84, No. 2, 191-215

Alderfer,C. P. (1972), Existence, relatedness, and growth:Human needs in organizational settings, Free Press,New York.

Alderfer,C.P(1969)”An Empirical Test of a New Theory of Human Need,”Organization Behavior and HumanPerformance,1,pp.142-175.

Baddeley, A. (1992). Working memory, Science, 255, 556-559.

Bandura, A. (1977a). Self-efficacy: Towards a unifying theory of behavior change, Psychological Review, 84, 191-215.

Bandura, A. (1997b). Self-efficacy: The Exercise of Control, W.H. Freeman and Company, New York.

Bandura, A. (1986). Social Foundations of Thought and Action, Prentice Hall, Englewood Cliffs, NJ.

Böhringer, M.& Richter , A.,(2009). Adopting social software to the intranet: A case study on enterprise microblogging. . Proceedings Mensch und Computer, Oldenbourg, Berlin.

Compeau, D., & Higgins, C. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19, 189-211.

Williams, J. J., and Ramaprasad, A.（1996）, “A taxonomy of critical success factors,”
European Journal of Information Systems, Vol. 5, No. 4, pp. 250-260.

Davis, F. D. (1989), “Perceived usefulness, perceived ease of use, and user acceptance of Information technology,” MIS Quarterly, Vol. 13, No. 3, pp. 319-340.

Davis, F. D., Bagozzi, R. P. and Warshaw, P. R（. 1989）,“User Acceptance of Computer Technology: A Comparison of Two Theoretical Models,” Management Science, Vol. 35 ,No. 8, pp. 982-1003.

DeLone, William H. and Mclean, Ephraim R（. 1992）,“Information system success: Thequest for the dependent variable,” Information Systems Research, Vol. 3, Issue 1, pp. 60-95.

DeLone, William H. and Mclean, Ephraim R.（2003）,“The Delone and Mclean modelof information systems success: A ten-year update,” Journal of Management Information Systems, Vol. 19, No. 4, pp. 9-30.

Grandon, E. E., Alshare, K., & Kwun, O. (2005). Factors influencing student intention to adopt online classes: A cross-cultural study. Journal of Computing Sciences in Colleges, 20(4), 46-56.

Hackman, J.R. and Lawler, E.E. (1971), ‘Employee reactions to job characteristics’,Journal of Applied Psychology Monograph, Vol. 55, No. 3, pp. 259-286.

Hackman, J.R. and Oldham, G.R. (1975), ‘Development of the job diagnostic survey’,Journal of Applied Psychology, Vol. 60, No. 2, pp. 159-170.

Hackman, J.R. and Oldham, G.R. (1976), ‘Motivation through the design of work: test of a theory’, Organizational Behavior and Human Performance, Vol. 16, No. 2, pp.250-279.

Hackman, J.R. and Oldham, G.R. (1980), Work Redesign, Reading, Addison-Wesley,MA.

James C. Anderson, David W. Gerbing(1988).Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin, Vol.103, pp. 411-423

Juan Carlos Rocaa, Chao-Min Chiub, Francisco Jose’ Martı’neza (2006)”Understanding e-learning continuance intention: An extension of the Technology Acceptance Model

Maslow, Abraham H. (1937), "The influence of familiarization on preference,” Journal of Experimental Psychology, 21, pp.162-180.

Maslow, Abraham H. (1943), "A theory of human motivation ", Psychological Review, 50, pp.370-396.

Maslow, Abraham H. (1987), “Motivation and Personality ",3rd ed., Harper Collins, New York.

Maslow, Abraham.H. (1954),"Motivation and Personality",Harper and Row, New York.

Mclean’s model of IS Success,” Australian Journal of Information System, Vol. 4, No. 1, pp. 90-109.

Parasuraman, A, Zeithaml, V. A. and Malhotra, A. (2005), “E-S-QUAL: A multiple-item scale for assessing electronic service quality,” Journal of Service Research, Vol. 7, No. 3, pp. 213-234.

Parasuraman, A., Zeithaml, V. A. and Berry, L. L. (1985), “A conceptual model of service quality and its implications for future research,” Journal of Marketing, Vol. 49, No. 4, pp. 41-50.

Parasuraman, A., Zeithaml, V. A. and Malhotra, A. (2000), “E-service quality: Definition, dimensions and conceptual model,” Working Paper, Marketing Science Institute, Cambridge, MA.

Parasuraman, A., Zeithaml, V. A. and, Berry, L. L.（1988）, “Communication and control processes in the delivery of service quality,” Journal of Marketing, Vol. 52, No. 2, pp. 35-48.

Parasuraman, A., Zeithaml, V. A., and Berry, L. L.（1991）,“Refinement and reassessment of the SERVQUAL scale,” Journal of Retailing, Vol. 67, No. 4, pp. 420-450.
Parasuraman, A., Zeithaml, V. A., and Berry, L. L.（1985）, “Problem and strategies in services marketing,” Journal of Marketing Vol. 49, No. 2, pp. 33-46.

Parasuraman, A.,（1997）, “Reflections on gaining competitive advantage through customer valve,” Journal of the Academy of Marketing Science, Vol. 25, No. 2, pp. 154-161.

Park, C. H. and Kim, Y. G.（2006）, “The effect of information satisfaction and relational benefit on consumers' online shopping site commitments,” Journal of Electronic Commerce in Organizations, Vol. 4, No. 1, pp. 70-90.

Park, S. Y.(2009), An analysis of the technology acceptance model in understandinguniversity students’ behavioral intention to use e-learning. Educational technology & society, 12 (3), 150–162.

Peltier, J. W., Boyt, T. and Schibrowsky, J. A.（1999）, “Obstetrical care and patient loyalty,” Marketing Health Services, Vol. 19, No. 3, pp. 4-12.

Pitt, L. F., Watson, R. T., and Kavan, C. B.（1995）, “Service quality: A measure of information systems effectiveness,” MIS Quarterly, Vol. 19, No. 2, pp. 173-187.

Prus, A. and Brandt, D. R.（1995）, “Understanding your customers,” Marketing Tools, Vol. 2, No. 5, pp. 10-14

Raghunathan, B., and Raghunathan, T. S. (1994), “Adaptation of a planning system success model to information systems planning,” Information Systems Research, Vol. 5, No. 3, pp. 326-340.

Rai, A., Lang, S. S. and Welker, R. B.（2002）, “Assessing the validity of IS Success
reassessment of the SERVQUAL scale,” Journal of Retailing, Vol. 67, No. 4, pp. 420-450.

Rust, R. T. and Oliver, R. L. (1994),“Service quality: Insights and managerial implications from the frontier,”In Rust, R. T. and Oliver, R. L. (Eds.), Service Quality: New Directions in Theory and Practice, pp. 1-19, Sage Publications, Thousand Oaks, CA.

Sakaguchi, T., Frolick, M. N.（1997）,“A review of the data warehousing literature,”
Sasser W. E., Paul, O. R. and Wyckoff, D. D., (1978), Management of Service Operations: Test, Cases, and Readings, Allyn and Bacon, pp. 21.

Seddon, P. B. and Yip, S. K.（1992）, “An empirical evaluation of user information
satisfaction (UIS) measures for use with general ledger accounting software,” Journal of Information Systems, Vol. 6, No. 1, pp. 75-92.

Seddon, P. B. and Kiew, M. Y.（1996）, “A partial test and development of Delone and Mclean’s model of IS Success,” Australian Journal of Information System, Vol. 4, No. 1, pp. 90-109.

Seddon, P. B. and Yip, S. K.（1992）, “An empirical evaluation of user information satisfaction (UIS) measures for use with general ledger accounting software,” Journal of Information Systems, Vol. 6, No. 1, pp. 75-92.

Seddon, P. B.（1997）, “A respecification and extension of the Delone and Mclean’s model of IS Success,” Information Systems Research, Vol. 8, No. 3, pp. 240-253.

Segars, A. H. and Grover, V. (1993), “Re-examining perceived ease of use and usefulness: A confirmatory factor analysis,” MIS Quarterly, Vol. 17, No. 4, pp. 517-525.

Segars, A. H., and Grover, V. (1998), “Strategic information systems planning success: An investigation of the construct and its measurement,” MIS Quarterly, Vol. 22, No. 2, pp. 139-163.

Watson, R. T., Pitt, L. F., and Kavan, C. B.（1998）, “Measuring information systems
service quality:Lessons from twolongitudinal case studies,” MIS Quarterly, Vol. 22, No. 1, pp. 61-79.
Singh, Jagdip (1988), “Consumer complaint intentions and behavior: Definitional and taxonomical issues,” Journal of Marketing, Vol. 52, No. 1, pp. 93-107.

Sirohi, Niren., Edward W Maclaughlin and Dick R Wittink（1998）, “A model of
Srinivasan, A（. 1985）, “Alternative measures of system effectiveness: Associations and implications,” MIS Quarterly, Vol. 9, No. 3, pp. 243-253.

Swanson, E. B. （ 1974 ） , “Management-information-systems - appreciation and involvement,” Management Science, Vol. 21, No. 2, pp. 178-188.

Taylor, S（. 1994）,“Waiting for service: The relationship between delays and evaluations of service,” Journal of Marketing, Vol. 58, No. 2, pp. 56- 69.

Torkzadeh, G., & Koufteros, X. (1994). Factorial validity of a computer self-efficacy scale and the impact of computer training. Educational and Psychology measurement, 54(3),813-821.

Tsai, S. P.（2005）, “Utility, cultural symbolism and emotion: A comprehensive model
Venkatesh V. and Davis, F. D. (2000), “A theoretical extension of the technology acceptance model: Four longitudinal field studies,” Management Science, Vol. 46, No. 2, pp. 186-204.

Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451.

Venkatesh, V., Morris, G. M., Davis, G. B. and Davis, F. D. (2003), “User acceptance of information technology: Toward a unified view,” MIS Quarterly, Vol. 27, No. 3, pp. 425-478.

Viswanath Venkatesh and Fred D. Davis (2000). A Theoretical Extension of the Technology Acceptance Model:Four Longitudinal Field Studies. MANAGEMENT SCIENCE Vol.46,No. 2,February pp. 186-204

Viswanath Venkatesh and Hillol Bala (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences. Volume 39 Number 2.

Wang, R. Y. and Strong, D. M.（1996）, “Beyond accuracy: What data quality means to
data consumers,” Journal of Management Information Systems, Vol. 12, No. 4, pp. 5-33.

Watson, R. T., Pitt, L. F., and Kavan, C. B.（1998）, “Measuring information systems service quality:Lessons from twolongitudinal case studies,” MIS Quarterly, Vol. 22, No. 1, pp. 61-79.

Webster, J. and Hackley, P. (1997), “Teaching effectiveness in technology mediated distance learning,” Academy of Management Journal, Vol. 40, No. 6, pp. 1282-1309.

Webster, J., & Hackley, P. (1997). Teaching effectiveness in technology-mediated distance learning. Academy of Management Journal, 40(6), 1282-1309.

Webster, J., Martocchio, J. J.(1993). Turning work into play:Implications for microcomputer software training. Journal of management,19, 127-146.

Westbrook, R. A. (1987), “Product consumption-based affective responses and postpurchase processes,” Journal of Marketing Research, Vol. 24, No. 3, pp.258-270.

Westbrook, R. A. and Oliver, R. L.（1991）,”The dimensionality of consumption emotion patterns and consumer satisfaction,” Journal of Consumer Research,Vol.18, Issue 1, pp. 84-91.

William, L. J. and Hazer, J. T.（1986）, “Antecedents and consequences of satisfaction and commitment in turnover models: A reanalysis using latent variable structural equation methods,” Journal of Applied Psychology, Vol. 71, No. 2, pp. 219-231.

Williams, J. J., and Ramaprasad, A.（1996）, “A taxonomy of critical success factors,” European Journal of Information Systems, Vol. 5, No. 4, pp. 250-260.

Yang, Z., Cai, S., Zhou, Z. and Zhou, N. (2005), “Development and validation of an instrument to measure user perceived service quality of information presenting Web portals,” Information and Management, Vol. 42, No. 4, pp.575-589.

Yap, C. S., Soh, C. P. P., and Raman, K. S. (1992), “Information systems success factors in small business,” Omega, The International Journal of Management Science, Vol. 20, Issue 5/6, pp. 597-609.

Yoon, Y., Guimares, T., and O Neal, Q. (1995), “Exploring the factors associated with expert systems success,” MIS Quarterly, Vol. 19, No. 1, pp. 83-106.