摘 要
從蘋果推出第一代iPhone智慧型手機後，短短幾年內，智慧型手機科技和產值呈現空前的速度蓬勃發展，無論是娛樂休閒或是商務工作等需要，幾乎處處都可見到智慧型手機的身影，儼然成為民眾生活的一部分。 根據拓墣產業研究所(Sep. 2014)報告指出，全球智慧型手機2015年的出貨量將高達14.67億支，年增率達14.79%，顯示智慧型手機驚人的產值和成長潛力，其周邊軟硬體應用服務的市場規模和商機亦是相當龐大。 隨著手機可折式面板的研發成功，讓使用者能同時擁有攜帶便利和享受大螢幕的操作樂趣及美好的視覺效果。由於手機科技的進步和市場變化過於快速，對相關企業廠商而言，所設計產品是否符合消費者的需求和科技發展的趨勢，甚至導引市場發展方向、以帶進更多商機和提升企業獲利，則是企業廠商所重視的關鍵議題。
本研究採便利抽樣方式，受訪對象為全球各地區使用過智慧型手機或平板電腦之使用者，採取隨機抽樣的訪測方式，透過網路平台共回收有效問卷344份。回收問卷資料依據本研究模型架構進行分析，探討構面間之影響關係及人口統計變數對於『使用意圖』之差異性，進而瞭解影響可折式面板使用者接受度和購買行為之主要因素及誘發動因。
研究結果顯示在研究模型構面中『任務攸關性』、『輸出品質』和『結果可說明性』都對『有用性認知』有顯著影響；而『有用性認知』對『使用意圖』亦有明顯的影響關係。 此外分析結果亦呈現『主觀規範』對『有用性認知』和『使用意圖』有顯著的正向關係。 就人口變數對『使用意圖』的影響關係，除每天平均使用時數(使用習慣)對『使用意圖』具明顯影響外，其他三項人口變數(性別、年齡和教育程度)對『使用意圖」的影響未顯著，結果說明使用習慣為『使用意圖』的主要影響因素。
關鍵詞：可折式面板、主觀規範、任務攸關性、輸出品質、結果可說明性、有用性認知、使用意圖。

Abstract
The smartphone technology and the output value have rocketed since the iPhone 1st generation was introduced in 2007. Today, smartphones can be seen everywhere, not only for entertainment, but also for business which has become part of everyday life. According to Topology Research Institute research, the shipment of smartphones are expected to reach 1.467 billion globally in 2015, increasing on year by 14.79%. Beside the large increase on sales revenue and the potential growth in of smartphone, the relevant software and services is also bring huge output value and business opportunity. With the foldable display has been successfully developed, smartphone users can enjoy more convenience with bigger screen and better visual effect. However, with the rapid advancement of smartphone technology and the fast changes in the market, it is essential to develop products according to the trend of technology and to fit the consumer preferences and demand; thus will bring in more business opportunity and increase profit, which is the critical issue for any enterprise.
These data of this study were collected with convenience sampling method from smartphone or tablet users. Total of 344 effective survey have been reclaimed from random sampling through internet. Basic survey analysis has been conducted based on this research model to check the effects of the dimensions and the differentiation in the “Intention to Use” with the variation of the population; thus to understand the reason and motivation for users’ acceptance and purchasing behavior of the foldable display.
The results show that all three factors, “Job Relevance”, “Output Quality” and “Result Demonstrability”, have profound effect, in which “Perceived Usefulness” has positive effect on “Intention to Use”. In addition, it is also observed from the results that “Subject Norm” has positive effect on “Perceived Usefulness” and “Intention to Use”. As for the effect of population variance to Intention to Use, the results indicate that all three factors of the population variance (sex, age, and education level) have no relevant effect on “Intention to Use”, and that average hour of use (or habit) has great effect on “Intention to Use”; thus, habit is the main effect of “Intention to Use”.

Keywords:
Foldable Displays, Subjective Norm, Job Relevance, Output Quality, Result Demonstrability, Perceived Usefulness, Intention to Use.

目 錄
論文審定書 i
誌 謝 ………………………………………………………………………………. ii
摘 要 …………………………………………………………………………..….. iii
Abstract iv
圖 次 ………………………………………………………………..…………….viii
表 次 ……………………………………………………………………………….. x
第一章 緒論 1
第一節 研究背景 1
第二節 研究動機 2
第三節 研究目的 3
第四節 研究範圍和對象 3
第五節 研究流程 4
第二章 文獻探討 5
第一節 智慧型手機概述 5
第二節 科技接受度理論發展 9
第三節 科技接受度修正模型 (TAM2) 15
第三章 研究設計 19
第一節 研究架構 19
第二節 研究假設 20
第三節 研究變項之操作型定義 21
第四節 抽樣計劃 27
第五節 前測 28
第四章 實證分析 35
第一節 樣本敘述性統計 35
第二節 信度分析 47
第三節 效度分析 50
第四節 相關分析 76
第五節 可折式面板接受度分析 84
第六節 人口統計變數差異性分析 98
第五章 結論與建議 99
第一節 研究結論 99
第二節 管理意涵 101
第三節 研究限制與後續研究建議 102
參考文獻 104
附 錄...…………………………………………………………………..107

參考文獻
一、中文部分：
(1) IDC Asia/Pacific Quarterly Phone Tracker, Q4 2014 http://www.idc.com/
(2) Materialsnet材料世界網 http://www.materialsnet.com.tw/
(3) TechNews website http://technews.tw/
(4) 林東清、孫培真、徐景智（2000）。影響資訊系統使用者抗拒行為之原因：以計劃行為理論為基礎之整合研究。資訊管理研究，2（2），1-26。
(5) 邱皓政，2008年，量化研究與統計分析，五南圖書出版股份有限公司。
(6) 拓樸產業研究所, Sep. 2014 http://www.idc.com/
二、英文部分：
(1) Ajzen, I. (1971). Attitudinal vs. normative messages: An investigation of the differential effects of persuasive communications on behavior. Sociometry, 34, 263-280.
(2) Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84, 888-91
(3) Ajzen, I. & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall.
(4) Ajzen, I. (1985). From Intention to Actions: A Theory of Planned Behavior. in J. Kuhl and J. Bechmann（Eds）, Action-Control: From Cognition to Behavior, Springer, Heidelberg.
(5) Ajzen, I. (1989). Attitude structure and behavior. In A. R. Pratkanis, S. J. Breckler, & A. G. Greenwald (Eds.), Attitude structure and function. Hillsdale, N.J.: L. Erlbaum Associates, 252
(6) Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-211
(7) Albert L. Lederer, Donna J. Maupin, Mark P. Sena, and Youlong Zhuang. (2000). the Technology Acceptance Model and the World Wide Web. Decision Support Systems, 29(3), 269-282.
(8) Bock, G. W., Zmud, R. W., and Kim, Y. G., (2005). Behavioral Intention Formation in Knowledge Sharing: Examining the Roles of Extrinsic Motivators, Social-psychological Forces, and Organizational Climate. MIS Quarterly, 29(1), 87–111.
(9) Davis, Fred D., Bagozzi, Richard P. and Warshaw, Paul R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982-1003.
(10) Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13 (3): 319–340
(11) Ericsson Mobility Report, June 2015 http://www.ericsson.com/
(12) Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley
(13) Gollwitzer, P.M. (1999). Implementation intentions: Strong effects of simple plans. American Psychologist, 54
(14) IDC World Mobile Phone Tracker, Jan. 27, 2014 http://www.idc.com/
(15) Khalifa M., and Shen K.N. (2008). Explaining the adoption of transactional B2C mobile commerce, Journal of Enterprise Information Management. Emerald Group Publishing Limited, Vol. 21 No. 2, 110-124
(16) Khalifa M., and Shen K.N. (2008). Drivers for transactional B2C M-commerce Adoption: Extended theory of Planned Behavior. The Journal of Computer Information Systems. April 1.
(17) Lee C, Green R. (1990). Cross-cultural examination al the Fishbein behavioral intentions model. J Int Business Stud, 22 (6):289－305.
(18) Moore, G.C. & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation: Information Systems Research, vol. 23
(19) Morris, M.G. & Venkatesh, V. (2000). Age Differences in Technology Adoption Decisions: Implications for a Changing Workforce. Personnel Psychology, 53
(20) Taylor Shirley & Todd Peter, Assessing. (1995). IT Usage: The Role of Prior Experience, MIS Quarterly, Vol. 19, No. 4. (Dec., 1995)
(21) Taylor, S. & Todd, P. A. (1995). Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research, 6(2), 144-176.
(22) Thompson, R. L., Higgins, C. A., and Howell, J. M. (1991), Personal Computing: Toward a Conceptual Model of Utilization. MIS Quarterly, 15(1), 124-143.
(23) Venkatesh, V. & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186-204.
(24) Venkatesh, V.; Morris, M. G.; Davis, G. B.; Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly 27 (3): 425–478
(25) Venkatesh,V. & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions, Decision Sciences, 39, 273
(26) Wixom, B.H. and Todd, P.A. 2005. A Theoretical Integration of User Satisfaction and Technology Acceptance. Information Systems Research, 16(1), 85-102.