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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 資訊管理學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/58980
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dc.contributor.advisor翁崇雄(Chorng-Shyong Ong)
dc.contributor.authorYing-Ying Huangen
dc.contributor.author黃英瑛zh_TW
dc.date.accessioned2021-06-16T08:42:27Z-
dc.date.available2016-09-02
dc.date.copyright2013-09-02
dc.date.issued2012
dc.date.submitted2013-08-29
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5. Beaudry, A. and A. Pinsonneault (2005). 'Understanding User Responses to Information Technology: A Coping Model of User Adaption.' MIS Quarterly 29: 493-524.
6. Beaudry, A. and A. Pinsonneault (2010). 'The Other Side of Acceptance: Studying the Direct and Indirect Effects of Emotions on Information Technology Use.' MIS Quarterly 34: 689-710.
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10. An Expectation-Confirmation Model.' MIS Quarterly 25(3): 351-370.
11. Browne, M. W. and R. Cudeck (1993). 'Alternative ways of assessing model fit.'
12. Cenfetelli, R. T. (2004). 'Getting in Touch with Our Feelings Towards Technology.' Best Paper Proceedings of the Academy of Management Conference, New Orleans: F1-F6.
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14. Chung, J. and F. B. Tan (2004). 'Antecedents of perceived playfulness: an exploratory study on
15. user acceptance of general information-searching websites.' Information & Management 41: 869–881.
16. Compeau, D., C. Higgins, et al. (1999). 'Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study.' MIS Quarterly 23: 145-158.
17. Compeau, D. and C. A. Higgins (1995). 'Computer Self-Efficacy: Development of a Measure and Initial Test.' MIS Quarterly 19: 189-211.
18. Davis, F. D. and A. Arbor (1989). 'Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology.' MIS Quarterly: 320-340.
19. Davis, F. D., R. P. Bagozzi, et al. (1989). 'User Acceptance of Computer Technology: A Comparison of Two Theoretical Models.' MANAGEMENT SCIENCE 35: 982-1003.
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25. Gelbrich, K. (2010). 'Anger, Frustration, and Helplessness After Service Failure: Coping Strategies and Effective Informational Support.' Academy of Marketing Science 38: 567-585.
26. Griffiths, P. E. (1997). 'What emotions really are: The problem of psychological categories.'
27. Ha, S., T.-L. Chung, et al. (2010). 'Moving Beyond Accpetance: Exploring Determinants of Consumer Use Of Mobile Services.' International Journal of Mobile Marketing 5: 30-42.
28. Hackbartha, G., V. Groverb, et al. (2003). 'Computer playfulness and anxiety: positive and negative mediators of the system experience effect on perceived ease of use.' Information & Management 40: 221-232.
29. Hair, J. F., R. E. Anderson, et al. (1998). 'Multivariate Data Analysus.'
30. Kim, H. W., H. C. Chan, et al. (2004). 'Understanding the Balanced Effects of Belief and Feeling on
31. Information Systems Continuance.' 297-310.
32. Koufaris, M. (2002). 'Applying the Technology Acceptance Model
33. and Flow Theory to Online Consumer Behavior.' Information Systems Research 13(2): 205-223.
34. Lazarus, R. S. and S. Folkman (1984). 'Stress, Appraisal, and Coping.'
35. Lee, M. K. O., C. M.K., et al. (2005). 'Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation.' Information & Management 42: 1095–1104.
36. Lichtenstein, S. and P. Slovic (2006). 'The construction of preference.'
37. Malone, T. (1981). 'Toward a Theory of Intrinsically Motivating Instruction.' Cognitive Science 4: 333–369.
38. Mick, D. and S. Fournier (1998). 'Paradoxes of Technology: Consumer Cognizance, Emotions, and Coping Strategies.' Journal of Consumer Research 25: 123-143.
39. Moon, J. W. and Y. G. Kim (2001). 'Extending the TAM for a World-Wide-Web Context.' Information & Management 38: 217-230
40. Morris, L. W., M. A. Davis, et al. (1984). 'Cognitive and emotional components of anxiety: Literature review and a revised worry-emotionality scale.' J. Ed. Psych. 73: 541–555.
41. Mulaik, S. A. L. R., J. V. James, et al. (1989). 'Evaluation of Goodness-of-fit Indices for Structural Equation Models.' Psychological Bulletin 105: 430-445.
42. Myers, D. G. (2004). 'Theories of Emotion.' Psychology: Seventh Edition: 500.
43. Nunnally, J. C. (1978). 'Psychometric Theory.'
44. Pfister, H.-R. and G. Bohm (2008). 'The Multiplicity of Emotions: A Framework of Emotional Functions inDecision Making.' Judgment and Decision Making 3(1): 5-17
45. Porter, C. E. and N. Donthu (2006). 'Using the Technology Acceptance Model to Explain How Attitudes Determine Internet Usage: The Role of Perceived Access Barriers and Demographics.' Journal of Business Research 59: 999-1007.
46. Rafaeli, A. and I. Vilnai-Yavetz (2004). 'Emotion as a Connection of Physical Artifacts and Organizations.' Organization Science 15(6): 671-686.
47. Russell, J. A. (2003). 'Core affect and the psychological construction of emotion.' Psychological Review 110: 145-172.
48. Segars, A. H. and V. Grover (1993). 'Re- Examining Perceived Ease of Use and Usefulness: A Confirmatory Factor Analysis.' MIS Quarterly 17: 517-522.
49. Shih, C.-F. and A. Venkatesh (2004). 'Beyond Adoption: Development and Application of a Use-Diffusion Model.' Journal of Marketing 68: 59-72.
50. Solomon, R. C. and L. D. Stone (2002). 'On 'positive' and 'negative' emotions.' Journal for the Theory of Social Behavior 32: 417-443.
51. Todman, J. and E. Monaghan (1994). 'Qualitative Differences in Computer Experience, Computer Anxiety, and Students’ Use of Computers: A Path Model.' Computers in Human Behavior 10(4): 529-539.
52. Tversky, A. and R. H. Thaler (1990). 'Anomalies: Preference reversals.' Journal of Economic Perspectives 4: 201-211.
53. Venkatesh, V. (1999). 'Creation of Favorable User Perceptions: Exploring the Role of Intrinsic Motivation.' MIS Quarterly 23(2): 239-260.
54. Venkatesh, V. (2000). 'Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model.' Information Systems Research 11: 342–365.
55. Venkatesh, V. and F. D. Davis (2000). 'A theoretical extension of the technology acceptance model: Four longitudinal field studies.' Management Science 46: 186-204.
56. Venkatesh, V., M. G. Morris, et al. (2003). 'User acceptance of information technology: toward a unified view.' MIS Quarterly 27: 425-478.
57. Webster, J. and J. J. Martocchio (1992). 'Microcomputer Playfulness:
58. Development of a Measure with Workplace Implications.' MIS Quarterly 16: 201-226.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/58980-
dc.description.abstract在Davis提出科技接受模式(TAM)之後,即被廣泛的應用在各領域,藉以測量資訊科技使用者之使用意圖及行為,而對於科技接受模式中知覺易用性之前因也逐漸受到重視。過去的研究多以外生變項作為其前因進行探討,但內生變項仍有不可忽視之重要性。在內生變項的眾多因素之一,包括了情緒因素。情緒為影響人類行為之重要因子,因此日漸受到重視。但雖然情緒對科技接受模式之影響的研究雖然日漸增多,卻仍然缺乏利用有系統的框架,對各情緒進行整體分析的研究。
本研究將以Facebook的台灣使用者為研究對象,探討使用者情緒是否會影響使用者的知覺易用性。整體架構將以科技接受模式(Davis and Arbor, 1989)為基礎,並採用Beaudry和Pinsonneault在2010年提出的情緒分類框架,探討各類型情緒對於使用者的影響,並對驗證之假設進行討論,進行實證研究,為線上服務提供者擬定可行的策略建議。
zh_TW
dc.description.abstractDue to the credibility of measuring intention of use and behavior of technology users, Technology Acceptance Model (Davis and Arbor, 1989) has been broadly used in different fields. Therefore, there has been more and more emphasis put on the antecedents of the model. In the past, most of research used external variables as the antecedents, but the internal variables should not be ignored; among the internal variables, emotion is one of the most essential ones since it plays an important role in affecting the behavior of human being, but there has not been enough research for this important topic.
This research would based on TAM and combine a emotion framing method (Beaudry and Pinsonneault, 2011) to investigate how emotions can affect users’ perceived ease of use. The survey data would be collected from the Facebook users in Taiwan. The study would also five some administrative suggestion and strategic advice in the end.
en
dc.description.provenanceMade available in DSpace on 2021-06-16T08:42:27Z (GMT). No. of bitstreams: 1
ntu-101-R99725048-1.pdf: 1118611 bytes, checksum: 67ebfa437d25d9e18fbfa57275732bcb (MD5)
Previous issue date: 2012
en
dc.description.tableofcontents論文摘要 I
THESIS ABSTRACT II
目錄 III
圖目錄 V
表目錄 VI
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的 2
第二章 文獻探討 3
第一節 科技接受模式 3
第二節 情緒分類框架 5
第三節 情緒與科技使用模式 7
第三章 研究方法 10
第一節 研究架構 10
第二節 變項定義與操作 11
3.2.1 科技接受模式 11
3.2.2 情緒分類框架 13
第三節 研究假設 17
第四節 研究抽樣與資料蒐集 18
第五節 資料分析方法 19
第四章 資料分析與研究結果 20
第一節 問卷回收 20
第二節 人口統計變數分析 20
第三節 測量模式分析 22
第四節 測量數據分析 28
第五節 假設驗證 30
第五章 結論與建議 33
第一節 研究結論 33
第二節 學術貢獻 35
第三節 實務貢獻 35
第四節 研究限制 36
第五節 後續研究建議 36
參考文獻 38
附錄 本研究問卷 42
dc.language.isozh-TW
dc.subject情緒zh_TW
dc.subject知覺易用性zh_TW
dc.subject科技接受模式zh_TW
dc.subject社群網站zh_TW
dc.subjectPerceived Ease of Useen
dc.subjectEmotionen
dc.subjectTechnology Acceptance Modelen
dc.subjectSocial Networken
dc.title情緒對科技接受模式影響之研究zh_TW
dc.titleEffects of Emotions on Technology Acceptance Modelen
dc.typeThesis
dc.date.schoolyear101-2
dc.description.degree碩士
dc.contributor.oralexamcommittee黃恆獎(Heng-Chiang Huang),盧信銘(Hsin-Min Lu)
dc.subject.keyword知覺易用性,情緒,科技接受模式,社群網站,zh_TW
dc.subject.keywordPerceived Ease of Use,Emotion,Technology Acceptance Model,Social Network,en
dc.relation.page46
dc.rights.note有償授權
dc.date.accepted2013-08-29
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept資訊管理學研究所zh_TW
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