臺灣博碩士論文加值系統

行動技術的快速發展，行動學習已經開始提供令人驚嘆的新技術，並成為一個新的教育趨勢。在文獻分析的基礎上，我們了解了行動學習及員工培訓的形成，並透過問卷來探討整合資料探堪能力的行動學習系統對提升企業員工培訓績效的影響關係。
本研究分成二個階段來進行本研究的研究方法。每階段的說明如下: 第一階段是從文獻分析來探討行動學習及員工培訓的形成，然後次級資料中分析影響企業行動學習的知識管理系統。第二階段是和領域中的專家進行深度訪談，以確認研究的有效性。然後進行問卷調查，運用定量分析來驗證研究構念及假設進而確認研究結果。
許多研究行動學習的文章都是關於技術層面的，很少是用管理的角度來探討。在台灣，到目前為此，企業在導入行動學習系統仍處於早期階段且相關研究仍還不夠充足。所以這是一個探索性研究，探討台灣的企業導入行動學習的相關分析。
問卷發放的對象是在各企業服務的資訊人員。共發放150份問卷，最後有效回收135份問卷。資料分析是利用SPSS統計套裝軟體，來進行統計分析作為本研究之研究方法。
這項研究結果將提供有價值的資訊，為企業計劃導入行動學習系統提供有建設性的建議來避免導入失敗以及如何規劃行動學習系統，以達到提升企業績效，我們將在第六章提出建議並詳細討論。

Rationale and motivation of this research is such as Emerging the rapid development of mobile technologies, mobile learning, M-learning, is beginning to offer 'stunning new technical capabilities' and become a new trend in education. Based on the literature review, this research understand the forming of mobile learning and employee training then to apply questionnaire to investigate how data mining integrated with mobile learning enhances enterprise employee training performance.
Research method of this research is designed in two phases. The details of each phase are illustrated as follows: The first stage is analyze the forming of mobile learning and employee training from historical literature review, then to analyze enterprise knowledge management system that affect mobile learning from secondary data. The second is to conduct in-depth interview with experts to confirm validity of the research and then conduct further questionnaire survey and apply quantitative analysis to confirm our research findings, then to verify research constructs and hypotheses.
As a result, many research articles regarding M-learning are found related to technical dimension, though little is on management perspectives. In addition, empirical studies on M-learning implementation, especially on education implementation are carried out by many researchers. So far implementing M-learning systems for enterprises are still at early stage in Taiwan and research on this topic is scarce. This is an exploratory research of M-learning implementation which focuses on industries in Taiwan. The findings of this research will provide valuable information for the enterprises which plan to implement M-learning systems with awareness of integrated M-learning system to avoid M-learning failure.
The questionnaires were distributed to the representatives of the enterprises of some Annual Academic Conferences. 150 questionnaires were distributed in total. Finally 135 questionnaires were collected.
It’s recommended that this research provide the solutions regarding how to plan M-learning system to reach enterprise performance requirement. Recommendations on M-learning management are proposed as well. They will be discussed in detail at Chapter 6 Managerial Implication.

ABSTRACT(CHINESE) i
ABSTRACT ii
TABLE OF CONTENTS iii
LIST OF TABLES vi
LIST OF FIGURES vii
CHAPTER 1. INTRODUCTION 1
1.1 Rationale and motivation of this research 1
1.2 Research objectives 2
1.3 Research purpose 3
1.4 Research scope 3
1.5 Theoretical foundation 4
1.6 Research method 5
1.7 Contribution 5
1.8 Managerial implication 6
1.9 Research limitation 6
CHAPTER 2. LITERATURE 7
2.1 Diffusion of Innovations Theory 7
2.2 Information of research constructs 10
2.2.1 Mobile Learning 10
2.3 Research model Description 10
2.3.1 M-learning Capabilities 11
2.3.2 Data Mining and KM task 12
2.3.3 M-learning Provider 13
2.3.4 Desired Effort Expenditure 14
2.3.5 Desired Accuracy 14
2.3.6 Five Constructs and Training Satisfaction 15
2.3.7 Training Satisfaction and Enterprise Performance 15
2.4 Model illustration each construct, relationship between constructs 16
CHAPTER 3. METHODOLOGY 18
3.1 Research Scope 18
3.2 Research model and hypothesis 19
3.3 Research design 21
3.4 Research Sample and Data Collection 22
3.5 Research Method 22
3.5.1 Phase I study 22
3.5.2 Phase II study 23
3.6 Research framework 24
3.6.1 Historical literature review 24
3.6.2 Secondary data analysis 25
3.6.3 Delphi method (In-depth interview) 26
3.6.4 Questionnaire survey 26
3.6.5 Questionnaire design 26
3.7 Statistic methods 29
3.7.1 Descriptive statistics analysis 29
3.7.2 Pearson Coefficient Correlation 29
3.7.3 Regression analysis 30
CHAPTER 4. EMPIRICAL ANALYSIS 31
4.1 Results from questionnaire survey 31
4.1.1 Background analysis 31
4.1.2 Descriptive statistics 33
4.1.3 Reliability and validity analysis 39
4.1.4 Pearson coefficient correlation analysis (Model I & Model II) 40
4.1.5 Regression analysis (Model I & Model II) 42
4.2 Research Finding 45
CHAPTER 5. CONCLUSION 51
CHAPTER 6. MANAGERIAL IMPLICATION 56
6.1. Recommendations 56
6.2. Research limitation 57
REFERENCES 60
Appendix 64
Appendices A: Tables 64
Appendices B: Figures 73
Appendices C: Questionnaires 77

[1] Peng, H.; Su, YJ.; Chou, C.; Tsai, CC., “Ubiquitous Knowledge Construction: Mobile Learning Re-Defined And A Conceptual Framework”, Innovations In Education And Teaching International, V.46, I.2, PP.171-183, 2009
[2] Cavus, N.; Ibrahim, D., “M-learning: An Experiment In Using Sms To Support Learning New English Language Words”, British Journal Of Educational Technology, V.40, I.1, PP.78-91, 2009
[3] Lu, M., “Effectiveness Of Vocabulary Learning Via Mobile Phone”, Journal Of Computer Assisted Learning, V.24, I.6, PP.515-525, 2008
[4] Wu, PH. 2, Hwang, GJ. 1, Chu, HC. 1, Tsai, CC. 3, Huang, YM.4 , “A Computer-Assisted Collaborative Approach For Developing Enterprise E-Training Courses On The Internet, Source: Journal Of Research And Practice In Information Technology”, V.41, I.4, PP.319-340, 2009
[5] Liaw, SS.; Hatala, M.; Huang, HM., “Investigating Acceptance Toward Mobile Learning To Assist Individual Knowledge Management: Based On Activity Theory Approach”,Computers & Education, V.54, I.2, PP.446-454, 2010
[6] Lan, YF.; Sie, YS, “Using Rss To Support Mobile Learning Based On Media Richness Theory”, Computers & Education, V.55, I.2, PP.723-732, 2010
[7] Huang, YM.; Lin, YT.; Cheng, SC.,“An Adaptive Testing System For Supporting Versatile Educational Assessment, Computers & Education”, V.52, I.1, PP.53-67, 2009
[8] Yong L., Hongxiu L. and Christer C., “Factors driving the adoption of M-learning: An empirical study”, Computers & Education, V.55, I.3, PP.1211-1219, 2010
[9] Evans, C., “The Effectiveness Of M-learning In The Form Of Podcast Revision Lectures In Higher Education”, Computers & Education, V.50, I.2, PP.491-498, 2008
[10] Alavi, M.; Leidner, DE., “Knowledge Management Systems: Issues, Challenges, And Benefits”, Communications of the AIS, V.1, I.2, 1999
[11] Rogers, E. M, “Diffusions of innovations. (3rd ed.)”, New York: The Free Press, 1983
[12] Rogers, E.M., “The Critical Mass in the Diffusion of Interactive Technologies in Organizations“, Harvard Business School Research Colloquium, 1991
[13] Rogers Everett M., “Diffusion of Innovations”. Glencoe: Free Press, 1962
[14] Rogers,E.M., “Diffusion of innovations (4th ed)”, New York : The Free Press, 1995
[15] Desmond Keegan (2001), “The Future of Learning: from eLearning to mLearning”, Ericsson. Retrieved April 15, 2005
[16] Joseph RC. and Maria EVC, “Are You Ready for Mobile Learning? Frequent use of mobile devices does not mean that students or instructors are ready for mobile learning and teaching”, EDUCAUSE Librarian, V.30, I.2, PP.51-58, 2007
[17] Benbasat, I., Dexter, A. S, “An Experimental Evaluation of Graphical and Color-Enhanced Information Presentation”. Management Science, V.31(11), 1348-1364, 1985
[18] Robert W. ZMUD, Michael F. Price, “Framing the Domains of IT Management”, Pinnaflex Educational Resources, Inc., 2000
[19] Chin, CY., Liao, PW., Huang, CF., and Hwang, IH., “Acceptance of Mobile Learning: a Respecification and Validation of Information System Success, World Academy of Science”, Engineering and Technology, V.53, PP.726-730, 2009
[20] Benbasat, I., & Dexter, A. S, “Individual differences in the use of decision support aids”, Journal of Accounting Research, 20(1), 1-11, 1982
[21] Lisa Ryan, “Mobile Learning Strategies”, 2007
[22] Simon, H. A., “Administrative Behavior: A Study of Decision Making Processes in Administrative Organizations. (2 ed.)”, New York: Collier/Macmillan, 1957
[23] Richard C., Mile T. and Danny S., “Employee Training, Quality Management And The Performance Of Australian and New Zealand Manaufacturers”, Working Paper, V.34, I.02, 2002
[24] Ellen W., “Mainstreaming Mobile Learning, Learning Solutions”, 2008
[25] Malterud, K., “Qualitative Research: Standards, challenges and guidelines.” The Lancet, V.358, PP. 485, 2001
[26] Saul Greenberg ET. AL., “How to write a literature review. Saul Greenberg’S Chapter 1 Club Wiki”, University Of Calgary, V.23, 2006
[27] Dena Taylor And Margaret Proctor, “The Literature Review: A Few Tips On Conducting It. University Of Toronto Writing Support Centre”, 2007
[28] “The Literature Review”, Deakin university library, V.9, 2006
[29] William H. DeLone, Ephraim R. McLean, “Information Systems Success: The Quest for the Dependent Variable, Information Systems Research”, V.3 I.1 PP.60-95, 1992
[30] DeVellis, R. F. “Scale development: Theory and applications“, Sage Publications, Inc., 1991
[31] Kaiser, H. F. “The varimax criterion for analytic rotation in factor analysis“, Psychometrika, V.23(3), PP.187-200, 1958