全球PC的出貨量從2012年第二季開始已經是連續第七季下降了，但和過去相比趨勢已經逐漸的緩和。在微軟決定結束XP的支援，將會是PC出貨量的轉折，電腦產業將開始逐步的復甦。如何平衡產品創新和用戶的接受程度，是許多廠商的最大問題。本研究的目的是分析影響變形筆電消費者購買意願的因素，以科技接受模式為基礎，採用問卷調查，分析影響變形筆電消費者購買意願的因素。
分析結果如下：
1. 形象、工作相關性、輸出品質、結果展示性和知覺易用性對「認知有用性」呈正向顯著 。
2. 電腦自我效能與「認知易用性」呈正顯著相關。
3. 主觀規範是對「形象」呈正顯著相關。
4. 主觀規範、認知有用和認知易用對「使用意願」呈正向顯著。
除此之外，如果具備更多的實用性、靈活性和更多的展現並符合消費者使用需求，將能提升消費者對變形筆電的使用意圖。

Worldwide PC shipments dropped for a seventh straight quarter. The decline slow down compared with the past seven quarters. End of XP support by Microsoft that will decline of PC shipments. The gradual recovery of PC will be start. How to balance between innovation of products and the user acceptability, the biggest problem the industry for many vendors today.The purpose of this study is to analyze factors of affecting consumer purchase intention on transformer notebook. Base on Technology Acceptance Model, this study uses questionnaire to analyze factors of affecting consumer purchase intention on transformer notebook. Regression model, Factor Analysis and ANOVA were used to verify the relationships among our proposed twelve hypotheses.
The analysis results as follow：
1. Image, Job relevance, Output Quality, result demonstrability and perceived ease of use were positively significant to "perceived usefulness".
2. Computer self-efficacy was positively significant to "perceived ease of use".
3. Subjective norm was positively significant to "image".
4. Subjective norm, perceived usefulness and perceived ease of use were positively significant to "behavioral intention to use".
Besides, more practicability, more flexibility and exhibition intention of consumers on using a transformer notebook would be enhanced if the system could support their needs.

第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的 2
1.3 研究範圍 3
1.4 論文架構 4
第二章 文獻探討 5
2.1 筆記型電腦之產業現況 5
2.2 消費者對「科技產品」接受意願之研究 6
2.3 科技接受模式及其發展過程 11
2.4 電腦自我效能 18
2.5 小結 20
第三章 研究方法 21
3.1 研究設計與架構 21
3.2 研究假設 22
3.3 變數之操作性定義與衡量 24
3.4 問卷設計 30
3.5 分析方法應用簡述 36
第四章 資料分析與結果 39
4.1 敘述性統計分析 39
4.2 因素分析 42
4.3 樣本資料分析 47
4.4 相關分析 54
4.5 迴歸分析 56
4.6 假設檢定結果 60
第五章 結論與未來研究 65
5.1 結論 65
5.2 未來研究 66
參考文獻 68
附錄 研究問卷 73

1.王偉國(2011)，「消費者使用科技創新產品之因素探討-以平板電腦為例」，成功大學企業管理學系碩士論文。
2.吳明隆(2004)，「SPSS統計應用實務(二版)」，文魁資訊股份有限公司。
3.李偉暄(2013)，「個人創新程度與消費者科技接受意圖關係之研究—以平板電腦為例」，中央大學企業管理學系碩士論文。
4.周政宏(2013) ，「以科技接受模式3探討醫療資訊系統使用者使用行為之研究」，世新大學資訊管理學系碩士論文。
5.邱皓政(2003)，「量化研究與統計分析─SPSS 中文視窗版資料分析範例解析」，五南圖書出版股份有限公司。
6.許素梅(2012)，「以科技接受模式探討電子書使用與需求之研究」，臺灣師範大學圖文傳播學系碩士論文。
7.張鈞豪(2013)，「整合科技接受與資訊系統成功模式探討企業員工數位學習使用意願」，逢甲大學科技管理學系碩士論文。
8.陳鳳庭(2011)，「探討導入公文線上簽核資訊系統成功模型-以使用者電腦自我效能為干擾變數」，東華大學管理學系碩士論文。
9.陳聰杰(2013)，「以延伸科技接受模式探討宜蘭縣國小班級導師使用教學光碟之研究」，佛光大學學習與數位科技學系碩士論文。
10.蕭恒哲(2012)，「以社會比較理論探討平板電腦的採用意願—以科技接受模式為調節」，臺北大學企業管理學系碩士論文。
11.Ajzen, Icek (1985), "From Intentions to Actions: A Theory of Planned Behavior", Berlin and New York: Springer.
12.Ajzen, Icek and Fishbein, Martin (1975), "Belief, Attitude, Intention, and Behavior: AnIntroduction to Theory and Research", Reading, Mass.: Addison - Wesley publication, Co.
13.Boyle, Randall and Ruppel, Cynthia (2004), "On-line Purchasing Intent: The Effect of Personal Innovativeness, Perceived Risk, and Computer Self-efficacy", in The 7th Annual Conference ofthe Southern Association for Information Systems, pp. 131-137.
14.Cheung, Ronnie and Vogel, Doug (2013), "Predicting User Acceptance of Collaborative Technologies: An Extension of the Technology Acceptance Model for E-Learning", Computers & Education, Vol. 63, pp. 160-175.
15.Compeau, Deborah and Higgins, Christopher (1995a), "Computer Self-Efficacy: Development of a Measure and Initial Test", MIS Quarterly, Vol. 19, No. 2, pp. 189-211.
16.Compeau, Deborah and Higgins, Christopher (1995b), "Application of Social Cognitive Theory to Training for Computer Skill", Information Systems Research, Vol. 6, No. 2, pp. 118-143.
17.Cohen, Jacob (1988), "Statistical power analysis for the behavioral sciences (2nd ed.)" Hillsdale, New Jersey: Lawrence Erlbaum Associates.
18.Davis, Fred and Venkatesh, Viswanath (2000), "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Tudies", Management Science, Vol. 46, No. 6, pp. 186-204.
19.Davis, Fred; Bagozzi, Richard and Warsha, Paul (1989), "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models", Management Science, Vol. 35, No. 8, pp. 982-1003.
20.Farhad, Saljoughi (2002), "Adoption of M-commerce, Postgraduate Thesis of Information and Communication Technology", Agder College.
21.Harrison, Allison and Rainer, Kelly (1992), "An Examination of the Factor structures and Concurrent Validity for the Computer Attitude Scale, The Computer Anxiety Rating Scale, the Computer Anxiety Rating Scale, and the Computer Self-efficacy Scale", Educational and Psychological Measurement, Vol. 52, pp. 735-745.
22.Hong, Weiyin; Thong, James; Wong Wai-Man and Tam Kar-Yan (2011), "Determinants of User Acceptance of Digital Libraries: An Empirical Examination of Individual Differences and System Haracteristics", Journal of Management Information Systems, Vol. 18, No. 3, pp. 97-125.
23.Hsu Chin-Lung and Lu Hsi-Peng (2004), "Why Do People Play On-Line Games? An Extended TAM with Social Influences and Flow Experience", Information & Management, Vol. 41, No. 7, pp. 853-868.
24.Igbaria, Magid and Iivari, Juhani (1995), "The Effects of Self-Efficacy on Computer Usage", Omega, Vol. 23, No. 6, pp. 587-605.
25.Kaiser, Henry (1974), "An Index of Factorial Simplicity", Psychometrika, Vol. 39, No. 1, pp.31-36.
26.Kinzie, Mable and Delcourt, Marcia (1993), "Computer Technologies in Teacher Education: The Measurement of Attitudes and Self-Efficacy", Journal of Research and Development in Education, Vol. 27, No. 1, pp. 35-41.
27.Lance, Charles, Butts, Butts Marcus and Michels, Lawrence (2006), "The Sources of Four Commonly Reported Cutoff Criteria: What Did They Really Say", Organizational Research Methods, Vol. 9, No. 2, pp. 202-220.
28.Levine, Tamar (1997), "Commitment to learning: Effects of Computer Experience, Confidence and Attitudes", Journal of Research on Computing in Education, Vol. 16, No. 1, pp. 83-105.
29.Likert, Rensis (1932), "A Technique for the Measurement of Attitudes", Archives of Psychology, Vol. 22, No. 140, pp. 5-55.
30.O'Cass, Aron and Fenech, Tino (2003), "Webretailing Adoption: Exploring the Nature of Internet Users Webretailing Behaviour", Journal of Retailing and Consumer Services, Vol. 10, No. 3, pp. 81-94.
31.Tan, Margaret and Teo, Thompson (2000), "Factors Influencing the Adoption of Internet Banking", Journal of the Association for Information Systems, Vol. 1, No. 5, pp. 1-42.
32.Venkatesh, Viswanath and Bala, Hillol (2008), "Technology Acceptance Model 3 and a Research Agenda on Interventions", Decision Sciences, Vol. 39, No.2, pp. 273-315.
33.Vijayasarathy, Leo (2004), "Predicting Consumer Intentions to Use On-Line Shopping: The Case For an Augmented Technology Acceptance Model", Information & Management, Vol. 41, No. 6, pp. 747-762.
34.CNET (2014), "Microsoft: Surface Pro 3 will replace your laptop", http://www.cnet.com/news/microsoft-announces-new-hardware/, 2014.
35.Gartner (2014a), "Gartner Says Worldwide PC Shipments in the First Quarter of 2014 Declined 1.7 Percent", http://www.gartner.com/newsroom/id/2705117, 2014.
36.Gartner (2014b), "Gartner Says Worldwide Traditional PC, Tablet, Ultramobile and Mobile Phone Shipments Are on Pace to Grow 6.9 Percent in 2014", http://www.gartner.com/newsroom/id/2692318, 2014.
37.Gartner (2014c), "Gartner Says Worldwide Tablet Sales Grew 68 Percent in 2013, With Android Capturing 62 Percent of the Market", http://www.gartner.com /newsroom /id/2674215, 2014.
38.IDC (2014), "IDC Expects PC Shipments to Fall by -6% in 2014 and Decline Through 2018 "，http://www.idc.com/getdoc.jsp?containerId=prUS24700314, 2014.
39.statista (2014), "Forecast for Global Shipments of Tablets, Laptops and Desktop PCs from 2010 to 2017 (in Million Units) ", http://www.statista.com/statisti-cs/272595/ global-shipments-forecast-for-tablets-laptops-and-desktop-PCs/, 2014.
40.TechNews (2014)，「微軟 Microsoft Surface Pro 2 部分機種於日本重啟販售」，http://technews.tw/2014/03/25/microsoft-surface-2-being-to-sell-again/，2014年。