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研究生: 黃珮茹
Pei-Ju Huang
論文名稱: 影響電子書閱讀器採用意願因素之探討
A Study of the Factors that Affect the Behavioral Intension of Using E-reader
指導教授: 欒 斌
Pin Luarn
口試委員: 陳正綱
Cheng-kang Chen
詹前隆
Chien-Lung Chan
學位類別: 碩士
Master
系所名稱: 管理學院 - 企業管理系
Department of Business Administration
論文出版年: 2011
畢業學年度: 99
語文別: 中文
論文頁數: 103
中文關鍵詞: 電子書閱讀器科技接受模型創新擴散知覺愉悅自我效能
外文關鍵詞: E-reader, Technology Acceptance Model, Innovation Diffusion Theory, Perceived Playfulness, self-efficacy
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  • 電子書閱讀器在全球颳起一陣旋風,成為眾所矚目之消費性電子新應用,吸引許多相關廠商投入。本研究欲探究廠商應如何行銷及研發電子書閱讀器,以提升使用者的採用意願。
    本研究以個人認知行為、創新擴散特質及自我效能、知覺愉悅等構面探討其對於行為意願之影響,研究結果發現,使用者將易用性視為電子書閱讀器基本門檻,同時,在行銷時應強調其「實用性」,並強調使用電子書閱讀器可達到閱讀及工作上的效益,以刺激大眾購買電子書閱讀器的意願。企業可參考本研究之實務建議,研發符合使用者需求的電子書閱讀器。


    E-Reader has raised a burst of upsurge and appealed to many tech-related firms to invest. This thesis investigated how to do marketing and develop E-reader to improve the users’ intention behavior.
    This study investigated the effect on behavioral intention in the base of these factors: Perceived Behavioral, Innovation Diffusion Theory, Self-efficacy and Perceived Playfulness. The results showed that users take Perceived Ease of Use as necessary characteristic of E-reader. In the meantime, enterprises should emphasize that using E-reader can enhance efficiency in reading and work to stimulate the consumers' willingness of purchasing. In addition, enterprises could refer the practical suggestions in this study to develop the E-reader which meets the users' demands.

    第一章 緒論 1 第一節 研究背景 1 第二節 研究動機與目的 3 第三節 研究流程 5 第二章 文獻探討 8 第一節 電子書閱讀器之背景介紹 8 1.1 電子書閱讀器定義與型態 8 1.2 電子書閱讀器演進及發展起源 11 1.3 電子書閱讀器之市場概況 13 第二節 科技接受模式 16 2.1 理性行為模式(TRA) 16 2.2 計劃行為理論(TPB) 18 2.3 科技接受模型(TAM) 19 第三節 創新擴散理論 21 3.1 創新 21 3.2 創新決策過程 22 3.3 認知創新特質 25 第四節 自我效能與知覺愉悅 28 4.1 自我效能(self-efficacy) 29 4.2 知覺愉悅(Perceived Playfulness) 31 第五節 文獻整理小結 33 第三章 研究方法 34 第一節 研究架構 34 1.1 研究模型 34 1.2 研究假說 35 1.3 變數定義與衡量 39 第二節 問卷發展 45 2.1 問卷設計 46 2.2 前導測試 47 2.3 信度分析 47 2.4 正式問卷 52 第三節 資料蒐集 54 3.1 研究範圍 54 3.2 抽樣方法 55 3.3 分析工具 55 第四章 實證分析 57 第一節 樣本統計分析 57 1.1 敘述統計分析 57 1.2 量表信度與效度分析 61 1.3 變數間相關性分析 62 第二節 T檢定與變異數分析 66 2.1 獨立樣本T檢定 66 2.2 單因子變異數分析 67 第三節 假說檢定 70 3.1 迴歸分析 71 3.2 迴歸模型合適性檢定 75 3.3 分析結果 82 第五章 結論與建議 85 第一節 研究結論 85 1.1 假說驗證結果 85 1.2 事後分析 88 第二節 研究貢獻 89 2.1 學術之貢獻 89 2.2 實務之貢獻 90 第三節 研究限制與建議 91 參考文獻 93 英文部分 93 中文部分 97 附錄 99

    英文部分

    1. Adams (1992), D.A., Nelson, R.P., and Todd, P.A., “Perceived usefulness, ease of use, and usage of information technology: a replication.” MIS Quarterly, 16(2), 227-247.
    2. Agarwal & Karahanna (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665-694.
    3. Agarwal & Prasad, J. A. (1998). Conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204-215.
    4. Agarwal, R. and Prasad, J. (1997), “The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies.” Decision Sciences, 28(3), 557-582.
    5. Agarwal, R.and Prasad, J. (1998), “A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology.” Information Systems Research, Vol.9, No.2, pp.204-215.
    6. Ajzen, I. (1985).From Intentions to Actions: A theory of Planned Behavior. In J. Kuhl and J. Bechmann (Eds.), Action-Control: From Cognition to Behavior (pp. 11-39). Springer, Heidelberg.
    7. Ajzen, I., (1985). “From Intentions to Actions: A Theory of Planned Behavior.” Berlin: Springer.
    8. Atkinson and Kydd (1997):Atkinson, MaryAnne and Christine Kydd (1997), “Individual CharacteristicsAssociated with World Wide Web Use: An Empirical Study of Playfulness and Motivation,” The DATABASE for Advances in Information Systems, 28(2), pp.53-62.
    9. Atkinson, M., and Kydd, C. (1997). Individual characteristics associated with WorldWide Web use: an empirical study of playfulness and motivation. The DATABASE for Advances in Information Systems, 28(2), 53-62.
    10. Bandura, A. (1977) , “Self-efficacy : toward a unifying theory of behavioral change” , Psychological Review , 84(2), pp.191-215.
    11. Bandura, A. (1982) , “Self-efficacy mechanism in human agency” , American Psychologist , 84(2), pp.191-215.
    12. Busch, T. (1995), “Gender differences in self-efficacy and attitudes toward computers”, Journal of Educational Computing Research 12(2), pp.147-158.
    13. Busselle, R., Reagan, J., Pinkleton, B., and Jackson, K. (1999), “Factors Affecting Internet Use in a Saturated-Access Population.” Telematics and Informatics, 16, 45-58.
    14. Chau, P.Y.K. and Hu, P.J-H. (2001), “Information Technology Acceptance by IndividualProfessionals: A Model Comparison Approach.” Decision Science, 32(4), 699-719.
    15. Chen, L., Gillenson, M.L., and Sherrell, D.L. (2002), “Enticing online consumers: an extended technology acceptance perspective.” Information & Management, 39, 705-709.
    16. Compeau, D. R. and C. A Higgins (1995) “Computer Self-Efficacy: Development of a Measure and Initial Test”, MIS Quarterly, 19, 2, pp189-211.
    17. Compeau, D.R. and Higgins, C.A. (1995), “Computer self-efficacy : development of a measure and initial test”, MIS Quarterly, June, pp.189-211.
    18. Davis, F. D. (1986). “A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results.” Doctoral Dissertation, Sloan School of Management, Massachusetts Institute of Technology.
    19. Davis, F. D. (1986). “A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results.” Doctoral Dissertation, Sloan School of Management, Massachusetts Institute of Technology.
    20. Davis, F. D. (1992) Extrinsic and intrinsic motivation to use computer in theworkplace, Journal of Applied Social Psychology, Vol.22: pp1111~1132.
    21. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R., (1989). “User Acceptance of Computer Technology: A Comparison of Tow Theoretical Models.” Management Science, vol. 35, no. 8, pp. 982-1003.
    22. Davis, F.D. and Venkatesh, V. (1996), “A critical assessment of potential measurement biases in the technology acceptance model : the three experiments”, International Journal of Human-Computer Studies 45, pp.19-45.
    23. Delcourt, M.A.B., & Kinzie, M.B. (1993), “Computer technologies in teacher education : the measurement of attitudes and self-efficacy”, Journal of Research and Development in Education 27(1), pp.35-41.
    24. Dunphy S., and P. A. Herbig (1995). Acceptance of Innovations: The Customer is the Key! The Journal of High Technology Management Research, Vol.6, No.2, pp. 193-209.
    25. Fishbein, M. & Ajzen, I., (1975). “Belief Attitude, Intention and Behavior: An Introduction to Theory and Research.” MA, Addison-Wesley.
    26. Gera, K., & Chen, L.D. (2003), “Wireless technology diffusion: an evaluation model for wireless services,” Proceedings of AMCIS.
    27. Hartwick, J., & Barki, H. (1994). Explaining the role of user participation in information system use. Management Science, 40(4), 440-465.
    28. Heijden, H.V.D, (2003). Factors Influencing the Usage of Websites : The Case Of A Generic Portal In The Netherlands. Information & Management, 40,pp.541-549.
    29. Igbaria, M. and Iivari, J. (1995), “The effects of self-efficacy on computer usage”, Omega, 23, 6, 587-605.
    30. Igbaria, M., Zinatelli, N., Cragg, P., and A. L. M. Cavaye. “Personal Computing Acceptance Factors in Small Firms: a Structural Equation Model.” MIS Quarterly 21, no.3 (1997): 279-305
    31. Imsook Ha , Youngseog Yoon, Munkee Choi (2007). Determinants of adoption of mobile games under mobile broadband wireless access environment. Information & Management 44, 276-286.
    32. Johnson, R. D. and G. M. Marakas (2000), "Research Report: The Role of Behavioral Modeling in Computer Skills Acquisition - Toward Refinement of the Model," Information Systems Research, 11(4), pp.402-417.
    33. Karahanna, E., Straub, D., and Chervany, N. (1999), “Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs.” MIS Quarterly, 23(2), 183-213.
    34. Kolter, P. (2000), “Marketing Management: The Asia View.” Prentice Hall.
    35. Levine, T. (1997), “Commitment to learning : effects of computer experience, confidence and attitudes”, Journal of Research on computing in Education 16(1), pp.83-105.
    36. Liao, S., Shao, Y.P., Wang, H., and Chen, A. (1999), “The Adoption of Virtual Banking: An Empirical Study.” International Journal of Information Management, 19, 63-74.
    37. Mager, R. F. “No Self-efficacy, No Performance.”Training 29, no.4 (1992): 32-36.
    38. Marios Koufaris (2002) "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior" Information Systems Research Vol. 13, No. 2
    39. Moon, J. W., and Kim, Y. G. (2001). Extending the TAM for a World-Wide-Web context. Information and Management, 38(4), 217-230.
    40. Moore, G.C., Benbasat, I. (1991), “Development of an Instrument of Measure the Perceptions of Adopting an Information Technology Innovation.” Information Systems Research, 2(3), 192-222.
    41. Murphy, C.A., Coover, D. & Owen, S.V. (1998), “Development and validation of the computer self-efficacy scale”, Educational and Psychological Measurement 49, pp.893-399.
    42. Neter, J., Wasserman, W., Hutner & M. H. (1996). Applied Linear Statistical Models, Irwin.
    43. Oliver, T.A. & Shapiro, F. (1993), “Self-efficacy and computers”, Journal of Computer-Based Interactions 20, pp.81-85.
    44. Pin Luarn , Hsin-Hui Lin (2005). Toward an under standing of the behavioral intention to use mobile banking. Computers in Human Behavior, 21, 873-891.
    45. Robertson, T.S. (1967), “The Process of innovation and the Diffusion of Innovation.” Journal of Marketing, 31, 14-19.
    46. Rogers, E.M. (1995a), “Diffusion of Innovations.” 4th, New York: Free Press.
    47. Rogers, E.M. and Allbritton, M.M. (1995b), “Interactive Communication Technologies in Business Organizations.” Journal of Business Communication, 32, 175-195.
    48. Rogers, Evertt M. (1962), “Diffusion of Innovation,” New York: The Free Press of Glencoe.
    49. Schiffman & Kanuk (1994). Consumer Behavior (7 rd ed.). NJ: Prentice Hall. Shocker, A.D Rogers (1983)
    50. Schiffman, L.G. and Kanuk, L.L. (1994), ”Consumer Behavior.” 5rd, Prentice-Hall.
    51. Taylor, S. and Todd, P.A. (1995), “Understanding Information Technology Usage: A Test of Competing Models.” Information System Research, 6(2), 145-176.
    52. Torkzadeh, G. & Koufteros, X. (1994), “Factorial validity of a computer self-efficacy scale and the impact of computer training”, Educational and Psychological Measurement 54(3), pp.813-821.
    53. Tornatzky, L.G. and Klein, K.J. (1982), “Innovation Characteristics and Innovation Adoption-Implementation: A Meta-Analysis of Findings.” IEEE Transactions on Engineering Management, 29(1), 28-45.
    54. Venkatesh, V., & 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.
    55. Webster,and Martocchio, (1992),“Microcomputer playfulness: development of a measure with workplace implications”, MIS Quarterly ,vol.16,no.2 ,201-226.
    56. Wu, I. L., & Wu, K. W. (in press). A hybrid technology acceptance approach for exploring e-CRM adoption in organizations. Behaviour & Information Technology.
    57. Wu, J. H., & Wang, S. C., (2005), “What drives mobile commerce? an empirical evaluation of the revised technology acceptance model”, Information & Management, 42, 5, pp. 719-729.
    58. Wynne W. Chin, Eileen Peacock, and Kieran Mathieson (2001), “Extending the Technology Acceptance Model: The Influence of Perceived User Resources,” Advances in Information System, Vol.32, No3, pp.86-112.
    59. Yoshinori Sugihara. (1995). Multimedia-an easy guide.(中譯本:多媒體的時代,簫秋梅譯,台北市:朝陽堂,民國八十四年,第一版)

    中文部分

    1. 行政院新聞局,中華民國2008年出版年鑑。
    2. 余明勳 (2001),「華文數位內容媒合暨交易整合管理平台之研究」,出版與圖書館學術研討會論文集,台北:淡江大學,頁41-50。
    3. 吳明隆 (2007),SPSS操作與應用:問卷統計分析實務,第一版,五南書局。
    4. 吳萬益、林清河 (2000),企業研究方法,初版,華泰書局。
    5. 周文賢 (2001),多變量統計分析-SAS/STAT使用方法,智勝文化。
    6. 邱炯友 (2000),「古騰堡計劃與電子文件建置之相關模式初探」,資訊傳播與圖書館學,5卷3期:頁27-38。
    7. 邱炯友 (2000),「電子出版的歷史與未來」,http://www.gaya.org.tw/journal/m23/23-main1.htm
    8. 陳孟功 (2003),校園無線區域網路(WLAN)-科技接受模式(TAM)之研究,國立高雄師範大學工業科技教育研究所碩士論文。
    9. 陳德懷 (2002),邁向數位學習社會,遠流出版社。
    10. 黃俊英 (1999),行銷研究-管理與技術,華泰書局。
    11. 黃郁雯 (2003),電腦自我效能、電腦經驗與他人支持三者與電腦態度及電腦焦慮之關係。國立政治大學心理學系碩士論文。
    12. 黃羨文 (1997),紙本書與電子書之比較,漢美圖書。
    13. 謝政益 (2003),網路電話接受度之研究,國立台灣科技大學資訊管理系所碩士論文。
    14. 工研院 (2009年8月),電子書閱讀器進入百家爭鳴的時代,上網日期2010年1月17日。
    取自:http://college.itri.org.tw/TopicLearn.aspx?id=338
    15. 工研院 (2009年6月),電子書未來發展趨勢,上網日期2010年1月17日。
    取自:http://edm.itri.org.tw/enews/epaper/9806/c01.htm
    16. Digitimes (2009),電子書產業成長關鍵分析,上網日期2009年12月5日。取自:http://www.digitimes.com.tw/tw/rpt/rpt_show.asp?CnlID=3&v=20090608-174&n=1
    17. 資策會 (2009),E-Reader產品發展趨勢暨市場規模預測,上網日期2010年1月17日。
    取自:http://mic.iii.org.tw/intelligence/
    18. 資策會 (2010年2月),E-Reader關鍵IC發展趨勢與台灣廠商的機會,上網日期2010年3月24日。
    取自:http://mic.iii.org.tw/intelligence/
    19. 資策會 (2009年9月),蓄勢待發-電子閱讀機市場規模預測-2009~2013,上網日期2010年3月24日。
    取自:http://mic.iii.org.tw/intelligence/
    20. 資策會 (2009年10月),電子書產業發展趨勢與商機,上網日期2010年3月24日。
    取自:http://mic.iii.org.tw/intelligence/

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