影響線上學習市場使用意向模式建構之研究：模糊類神經網路方法之應用

The Research of Model Construction Affecting Use Intention in e-Learning Market-Application of Fuzzy-Neural Network Method

10.6160/2005.09.07

林文寶(Wen-Bao Lin)；楊淑斐(Shu-Fei Yang)

線上學習 ； 計劃行為理論 ； 科技接受模式 ； 使用意向 ； 模糊類神經網路 ； Electronic Learning e-Learning ； Theory of Planned Behavior TPB ； Technology Acceptance Model TAM ； Use Intention ； Fuzzy-Neural Network

中山管理評論

13卷3期（2005 / 09 / 01）

721 - 748

繁體中文

本研究目的以計劃行為理論模式、科技接受模式、擴散式的計劃行為理論模式為基礎所提出本研究的整合模式，應用模糊類神經網路的方法，分析潛在使用者對線上學習使用意向的重要因素的關係和交互作用，並蒐集300份完整填答資料進行分析，並獲得下列研究結果：潛在使用者線上學習模式的「使用意向」主要受「行銷組合」、「使用動機」、「態度」等三項正向和「認知有用」、「知覺風險」負向的影響;「態度」變項，主要受「認知有用」、「認知易用」等正向和「知覺風險」負向的影響；「行為控制知覺」變項，主要受「行銷組合」正向和「知覺風險」負向的影響；「認知易用」變項，主要受「使用動機」等二項正向和「知覺風險」的負向影響；「認知有用」變項，主要受「使用動機」和「行銷組合」正向的影響；學習的「使用動機」，主要受「行銷組合」正向的影響。

The major purpose of the study is based on the Theory of Planned Behavior (TPB), Technology Acceptance Model (TAM), Decomposition TPB(DTPB) and integrate Model with Fuzzy-Neural method by this study as basis to construct user e-Learning intention causal model. Then, we retrieve 300 valid samples to examine model whether or not suitable for e-Learning market, compare the goodness of fit of hypothesis, establish the use intention of e-Learning market and analysis the causal relationship by Structure Equation Model (SEM). By implementing above analysis, the findings and result yield out of the study are obtained as the followings: 1. Latent user e-Learning ”use intention” have significant positive effect by ”marketing mixes”, ”use motive”, ”attitude” and negative effect by ”perceptive risk” and ”perceived usefulness”. 2. Latent user e-Learning ”attitude” have significant positive effect by ””perceived usefulness” and ”perceived easy of use” and negative effect by. ”perceptive risk”. 3. Latent user e-Learning ”behavior control” have significant positive effect by ”marketing mix” and negative effect by ”perceptive risk”. 4. Latent user e-Learning ”perceived easy of use” have significant positive effect by ”use motive” and negative effect by ”perceptive risk”. 5. Latent user e-Learning ”perceived usefulness” have effect by ”marketing mixes”, ”use motive”. 6. ”Marketing mixes” have significant positive effects on latent user e-Learning ”use motive”.

1. 余泰魁、李能慧(2001)。台灣地區北部民衆對金門旅遊滿意度模式之建構與實證。戶外遊憩研究，14(4)，51-76。
   連結：
2. Ajzen, I.(1985).From Intentions to Actions: a Theory of Planned Behavior, Action-Control: from Cognition to Behavior.Heidelberg:Springer.
3. Arbaugh, J. B.(2000).Virtual Classroom Characteristics and Student Satisfaction with Internet-Based MBA.Journal of Management Education,24(1),32-54.
4. Bagozzi, R. P.(1981).Attitudes, Intentions and Behavior: A Test of Some Key Hypotheses.Journal of Personality and Social Psychology,41,607-627.
5. Brooker, G.(1984).An Assessment of an Expended Measure of Perceived Risk.Advances in Consumer Research,11,439-441.
6. Burns, J.,Cliff, J.,Duncan, J.(1990).Understanding of Understanding: Implications for Learning and Teaching.British Journal of Educational Psychology,61,276-289.
7. Chen C. T.,Peng, S. T.(1999).Intelligent Process Control Using Neural Fuzzy Techniques.Journal of Process Control,9,493-503.
8. Davis, F. D.(1986).A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results.Doctoral Dissertation, MIT Sloan School of Management
9. Davis, W. R.(1992).The FCI Rule of Identification for Confirmatory Factor Analysis: A General Sufficient Condition.Sociological Methods and Research,21,403-437.
10. Dishaw, M. T.,Strong, D. M.(1999).Extending the Technology Acceptance Model with Task-Technology Fit Constructs.Information & Management,36,9-21.
11. Eccles, J.(1983).Achievement and Achievement Motives.San Francisco:Freeman.
12. Engel, J. F.,Kollat, D. T.,Blackwell, R. D.(1984).Consumer Behavior, Hinsdale.Illinois:The Dryden Press.
13. Gay, L. R.(1992).Educational Research Copetencies for Analysis and Application.N.Y.:Macmillan.
14. Goodhue, Dale, L.(1998).Development and Measurement Validity of a Task-Technology Fit Instrument for User.Decision Science,105-138.
15. Harter, S.(1981).A New Self-Report Scale of Intrinsic Versus Extrinsic Orientation in the Classroom: Motivation and Informational Components.Developmental Psychology,17,300-312.
16. Howard, J.,Sheth, J. N.(1969).The Theory of Buyer Behavior.N.Y:John Wiley & Sons Inc.
17. Kaplan, L. B.,Jacoby, J.(1972).Association for Consumer Research.M. Venkatesan, Urbana, IL:
18. Kotler, P.(1998).Marketing Management: Analysis, Planning, Implementation and Control.Prentice-Halt Inc.
19. Masie, E.(1998).Click to Enroll: Web Registers Influence in Online Learning.Computer Reseller News,799,59-60.
20. Mathieson, K.(1991).Predicting User Intensions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior.Information Systems Research,2(3),173-191.
21. Mayadas, A. F.(1997).Asynchronous Learning Networks: A Sloan Foundation Perspective.Journal of Asynchronous Learning Networks,1(1),1-16.
22. Moon, J. W.,Kim, Y. G.(2001).Extending the TAM for a World Wide Web Context.Information and Management,38,217-230.
23. Moore, M. G.,Kearsley, G.(1996).DISTANCE EDUCATION- A System View.California:Wadsworth.
24. Nicosia, F. M.(1966).Consumer Decision Process.Englewood Cliffs, N. J.:Prentice-Hall.
25. Piccoli, G.,Ahmad, R.,Lves, B.(2001).Web-Based Virtual Learning Enironments: A Research Framework and a Preliminary Assessment of Effectiveness in Basic IT Skills Training.MIS Quarterly,25(4),401-426.
26. Pintrich, P. R.,Smith, D. A.,Mckeachie, W. J.(1989).A Manual for the use of the Motivated Strategies for Learning Questionnaire (MISQ).Mich:National Center for Research to Improve Postsecondary Teaching and Learning (NCRIFTAL), School for Education, The University Michigan.
27. Roger, E. M.(1995).Diffusion of Innovations.N.Y.:Frees Press.
28. Roselius, T.(1971).Consumer Rankings of Risk Reduction Methods.Journal of Marketing,35,56-61.
29. Ryan, R. M.,Deci, E. L.(2000).Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions.Contemporary Educational Psychology,25,54-67.
30. Shimp, T. A.,Kavas, A.(1984).The Theory of Reasoned Action Applied to Coupon Usage.Journal of Consumer Research,11,795-809.
31. Sugeno, M.(1985).Industrial Applications of Fuzzy Control.Elsevier Science Pub. Co..
32. Szajna, B.(1996).Empirical Evaluation of the Revised Technology Acceptance Model.Management Science,43(1),85-92.
33. Tan, S. J.(1999).Strategies for Reducing Consumers` Risk Aversion in Internet Shopping.Journal of Consumer Marketing,16(2),163-180.
34. Tanaka, J.(1987).How Big is Enough? Sample Size and Goodness-of-Fit in Structural Equation Models with Latent Variables.Child Development,58,134-146.
35. Taylor, S.,Todd, P. A.(1995).Decomposition and Crossover Effects in the Theory of Planned Behavior: A Study of Consumer Adoption Intentions.International Journal of Research in Marketing,12,137-155.
36. Taylor, S.,Todd, P. A.(1995).Understanding Information Technology Usage: A Test of Competing Models.Information Systems Research,6(2),144-176.
37. Taylor, S.,Todd, P. A.(1995).Assessing IT Usage: The Role of Prior Experience.MIS Quarterly,19(4),561-570.
38. Zadeh, L.A.(1965).Fuzzy Sets.Information and Control,8,338-353.
39. 張春興、林清山(1990)。教育心理學。台北:東華書局。

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