行動應用程式的持續使用行為之研究

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：11

、訪客IP：3.144.43.78

姓名

詹智超(Chih-Chao Jan) 查詢紙本館藏

畢業系所

企業管理學系

論文名稱

行動應用程式的持續使用行為之研究
(The Study of Continuing Use of App)

相關論文

★ 以第四方物流經營模式分析博連資訊科技股份有限公司	★ 探討虛擬環境下隱性協調在新產品導入之作用--以電子組裝業為例
★ 動態能力機會擷取機制之研究－以A公司為例	★ 探討以價值驅動之商業模式創新－以D公司為例
★ 物聯網行動支付之探討-以Apple Pay與支付寶錢包為例	★ 企業資訊方案行銷歷程之探討-以MES為例
★ B2C網路黏著度之探討-以博客來為例	★ 組織機制與吸收能力關係之研究－以新產品開發專案為例
★ Revisit the Concept of Exploration and Exploitation	★ 臺灣遠距醫療照護系統之發展及營運模式探討
★ 資訊系統與人力資訊科技資源對供應鏈績效影響之研究-買方依賴性的干擾效果	★ 資訊科技對知識創造影響之研究-探討社會鑲嵌的中介效果
★ 資訊科技對公司吸收能力影響之研究－以新產品開發專案為例	★ 探討買賣雙方鑲嵌關係影響交易績效之機制 ─新產品開發專案為例
★ 資訊技術運用與協調能力和即興能力對新產品開發績效之影響	★ 團隊組成多元性影響任務衝突機制之研究─ 以新產品開發專案團隊為例

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

[檢視]

[下載]

本電子論文使用權限為同意立即開放。
已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。

摘要(中)

隨著資訊科技的興起，行動裝置成為了生活的必需品，而行動應用程式在這樣的趨勢之下更是扮演非常了重要的角色，行動應用程式與以往企業組織所使用的大型IT，本質上有所差異，而使用產品的目的也與過去組織為了獲利或提升效率的目標性導向明顯不同，另外過去以理性的方式來研究人的使用行為，其中並無情緒牽涉其中，但是因為人在使用產品的過程中會產生情緒，情緒會影響使用者行為。使用者最終持續使用的行為，並非只有由經過思考所產生的持續使用意圖所組成，還有隨著使用產品的熟悉度會逐漸產生未經過思考的習慣，兩者結合才能更加完整的解釋使用者的持續使用行為。
而本研究也將行動應用程式分類成效用型和快樂型，根據Thüring（2007）提出的CUE模型，假設不同種類的App會經由情緒體驗來影響消費者持續使用行為的前因，包含持續使用意圖與習慣。
透過問卷發送的方式來驗證本研究的假說，有效問卷總計138份，在模型驗證的部分，本研究使用SPSS 22來進行敘述性統計的分析，且以SmartPLS 3.0來分析模型路徑之間的顯著性，在加以比較不同種類的App之間路徑是否有差異性，研究結果顯示:（1）效用型App與快樂型App的工具性價值感知與非工具性價值感知皆對情緒體驗有正向顯著影響。（2）使用效用型App與快樂型App之情緒體驗對持續使用意圖和習慣有中介效果存在。（3）效用型App與快樂型App在路徑分析上並無顯著的差異。

摘要(英)

Mobile devices become necessity with the advance of science and technology in recent years. Therefore, the apps are getting more and more important. Differing from traditional purpose-oriented information technology, people use apps not for specific purpose. There are various differences in nature between them. Previous continuing IT usage studies focused more on rational evaluations instead of non-rational factors. This study propose that the process of continuing IT use is not only decided by rational reaction, but also accompanied with emotional experience, which influence on antecedents of continuous usage . We think antecedents of continuing IT use consist of cognitive intention and unconscious behavior like habit.

According to component of user experience model purposed by Thüring(2007), this study used two types of apps to examine how emotional experience affect on intention of continued usage and habit.

By issuing questionnaires to validate hypotheses of this paper, 138 effective responses were collected. Descriptive and path analysis were analyzed by SPSS 22.0 and SmartPLS 3.0. Significant results imply that (1) Using utilitarian and hedonic mobile app, the value of perception of instrumental qualities and non-instrumental qualities have positive effect on emotional experience. (2) The emotional experience of using utilitarian and hedonic mobile app mediate the value of perception of instrumental qualities and the value of perception of non-instrumental qualities to continuous using intention and habit. (3)There are no significant differences between using utilitarian and hedonic mobile app to affect the antecedents of process of continuing IT use.

關鍵字(中)

★ 行動應用程式
★ 持續使用行為
★ 使用者行為
★ 情緒

關鍵字(英)

★ Application
★ Continuing Use
★ User Behavior
★ Emotion

論文目次

摘要 I
Abstract II
誌謝 III
目錄 IV
表目錄 VI
圖目錄 VII
一、緒論 1
1-1 研究背景與動機 1
1-2 研究目的與問題 6
二、文獻探討 7
2-1 行動應用程式（Ａpplication） 7
2-1-1 行動應用程式之定義 7
2-2 應用程式之感知價值（Perceived value）： 7
2-2-1 工具性的價值 7
2-2-2 娛樂的價值： 8
2-2-3 識別性價值： 8
2-2-4 社交的價值： 8
2-3 CUE(components of user experience)模型 9
2-4 情緒體驗、持續使用意圖與習慣情緒體驗（emotional experience） 12
三、研究設計 16
3-1 研究架構 16
3-2 研究假說 18
3-2-1 工具性價值感知、非工具性價值感知與情緒體驗之關係 18
3-2-2 工具與非工具性價值感知與持續使用意圖之關係 19
3-2-3 工具與非工具性價值感知與習慣之關係 20
3-3 研究變項定義與衡量 21
3-3-1 自變項：工具性價值感知包含易用性價值與有用性價值 21
3-3-2 自變項：非工具性價值感知包含娛樂性價值、社交性價值及識別性價值 23
3-3-3 中介變項：情緒體驗可分為情緒涉入與情緒喚起 25
3-3-4 依變項：持續使用意圖 27
3-3-5 依變項：習慣 28
3-4 抽樣對象 29
3-5 問卷發放 29
四、資料分析 30
4-1 資料處理與統計方法 30
4-1-1 資料處理 30
4-1-2 統計分析類別 30
4-2 敘述性統計分析 30
4-2-1 性別分析 31
4-2-2 年齡分析 31
4-2-3 使用App頻率分析 32
4-3 各構面問項之平均值、標準差、變異數 33
4-4 實體與線上樣本差異比較 36
4-5 構面問項信度與效度分析 37
4-6 結構模型結果評估 42
4-6-1 檢驗不同種類App之間的路徑係數差異 44
4-6-2 中介效果檢驗 45
五、結論與建議 54
5-1 研究結果與貢獻 54
5-1-1 兩種類App在工具性價值感知與非工具性價值感知對情緒體驗皆有正向影響 54
5-1-2 情緒體驗有顯著的中介效果 55
5-1-3 不同種類的App，工具性價值感知與非工具性價值感知對情緒影響沒有顯著差異 56
5-3 管理意涵 57
5-4 研究限制與未來研究建議 58
5-4-1 樣本單一性 58
5-4-2 App種類分類 58
5-4-3 持續使用意圖與習慣 58
六、參考文獻 59

參考文獻

1. Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived Usefulness , Ease of Use , and Usage of Information Technology : A Replication. MIS Quarterly, 16(2), 227–247.
2. Agarwal, A., & Meyer, A. (2009). Beyond usability: evaluating emotional response as an integral part of the user experience. In Proceedings of the 27th international conference (pp. 2919–2930).
3. Ainslie, G. (1986). Choice and Consequences: Perspectives of an Errant Economist. American Journal of Sociology, 91(6), 1467–1469.
4. Amoako-Gyampah, K. (2007). Perceived usefulness, user involvement and behavioral intention: an empirical study of ERP implementation. Computers in Human Behavior, 23(3), 1232–1248.
5. Anderson, R. E., & Srinivasan, S. S. (2003). E-Satisfaction and E-Loyalty: A Contingency Framework. Psychology & Marketing, 20(2), 123–138.
6. Bearden, W. O., Netemeyer, R. G., & Haws, K. L. (2011). Handbook of marketing scales : multi-item measures for marketing and consumer behavior research (3rd ed.). Thousand Oaks Calif.: SAGE.
7. Becker, J.-M., Klein, K., & Wetzels, M. (2012). Hierarchical Latent Variable Models in PLS-SEM: Guidelines for Using Reflective-Formative Type Models. Long Range Planning, 45(5), 359–394.
8. Brief, A. P., & Weiss, H. M. (2002). Organizational Behavior: Affect in the Workplace. Annual Review of Psychology, 53(1), 279–307.
9. Briggs, R. O., Reinig, B. A., & de Vreede, G.-J. (2012). The Yield Shift Theory of Satisfaction and Its Application to the IS/IT Domain (pp. 185–217). Springer New York.
10. Carstensen, L. L., Pasupathi, M., Mayr, U., & Nesselroade, J. R. (2000). Emotional Experience in Everyday Life Across the Adult Life Span. Journal of Personality and Social Psychology, 79(4), 644–655.
11. Chris Klotzbach. (2016). Enter the Matrix: App Retention and Engagement. Retrieved from http://flurrymobile.tumblr.com/post/144245637325/appmatrix
12. Christensson. (2012). App Definition.
13. Cronin, J. J. J., Brady, M. K., & Hult, G. T. M. (2000). Assessing the Effects of Quality, Value, and Customer Satisfaction on Consumer Behavioral Intentions in Service Environments. Journal of Retailing, 76(2), 193–218.
14. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982–1003.
15. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1. Journal of Applied Social Psychology, 22(14), 1111–1132.
16. Ding, Y., & Chai, K. H. (2015). Emotions and continued usage of mobile applications. Industrial Management & Data Systems, 115(5), 833–852.
17. Fornell, C., & Larcker, D. F. (1981). Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research, 18(3), 382–388.
18. Gratch, J., & Marsella, S. (2004). A domain-independent framework for modeling emotion. Cognitive Systems Research, 5(4), 269–306.
19. Guinea, A. O. de, & Markus, M. L. (2009). Why break the habit of a lifetime? Rethinking the roles of intention, habit, and emotion in continuing information technology use. MIS Quarterly, 33(3), 433–444.
20. Helm, S., Eggert, A., & Garnefeld, I. (2009). Modeling the impact of corporate reputation on customer satisfaction and loyalty using partial least squares. In Handbook of partial least squares (pp. 515–534).
21. Hirschman, E. C., & Holbrook, M. B. (1982). Hedonic consumption: Emerging concepts, methods and propositions. Journal of Marketing, 46(3), 92–101.
22. Hmelo-Silver, C. E., & Pfeffer, M. G. (2004). Comparing expert and novice understanding of a complex system from the perspective of structures, behaviors, and functions. Cognitive Science, 28(1), 127–138.
23. Holbrook, M. B., Chestnut, R. W., Oliva, T. A., & Greenleaf, E. A. (1984). Play as a Consumption Experience: The Roles of Emotions, Performance, and Personality in the Enjoyment of Games. Journal of Consumer Research, 11(2), 728–739.
24. Huy, Q. N. (2002). Emotional Balancing of Organizational Continuity and Radical Change: The Contribution of Middle Managers. Administrative Science Quarterly, 47(1), 31.
25. Izard, C. E. (1977). Human emotions. New York: Plenum Press.
26. Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs. MIS Quarterly, 23(2), 183.
27. Kim, H. W., Chan, H. C., & Chan, Y. P. (2007). A balanced thinking–feelings model of information systems continuance. International Journal of Human-Computer Studies, 65(6), 511–525.
28. Kim, H.-W., Chan, H. C., & Gupta, S. (2007). Value-based Adoption of Mobile Internet: An empirical investigation. Decision Support Systems, 43(1), 111–126.
29. Lacher, K. T. (1989). Hedonic consumption: Music as a product. Advances in Consumer Research, 16, 367–373.
30. Lacher, K. T., & Mizerski, R. (1994). An Exploratory Study of the Responses and Relationships Involved in the Evaluation of, and in the Intention to Purchase New Rock Music. Source Journal of Consumer Research, 21135243(2), 366–380.
31. Larivière, B., Joosten, H., Malthouse, E. C., Birgelen, M. van, Aksoy, P., Kunz, W. H., & Huang, M.-H. (2013). Value Fusion: The Blending of Consumer and Firm Value in the Distinct Context of Mobile Technologies and Social Media. Journal of Service Management, 24(3), 268–293.
32. Lazarus, R. S., & Lazarus, R. S. (1991). Cognition and motivation in emotion. The American Psychologist, 46(4), 352–67.
33. Leung, L., & Wei, R. (2000). More Than Just Talk on the Move: Uses and Gratifications of the Cellular Phone. Journalism & Mass Communication Quarterly, 77(2), 308–320.
34. Li, D., Chau, P. Y., & Lou, H. (2005). Understanding Individual Adoption of Instant Messaging: An Empirical Investigation *. Journal of the Association for Information Systems, 6(4), 102–129.
35. Limayem, M., Hirt, S. G., & Chin, W. W. (2001). Global Co-Operation in the New Millennium INTENTION DOES NOT ALWAYS MATTER: THE CONTINGENT ROLE OF HABIT ON IT USAGE BEHAVIOR. In The 9th European Conference on Information Systems (pp. 274–286). Bled, Slovenia.
36. Lin, C.-P., & Bhattacherjee, A. (2010). Extending technology usage models to interactive hedonic technologies: a theoretical model and empirical test. Information Systems Journal, 20(2), 163–181.
37. Lin, K.-M., Chen, N.-S., & Fang, K. (2011). Understanding e-learning continuance intention: a negative critical incidents perspective. Behaviour & Information Technology, 30(1), 77–89.
38. Mathwick, C., Malhotra, N., & Rigdon, E. (2001). Experiential value: conceptualization, measurement and application in the catalog and Internet shopping environment૾. Journal of Retailing, 77(1), 39–56.
39. McGrath, K. (2006). Affection not affliction: The role of emotions in information systems and organizational change. Information and Organization, 16(4), 277–303.
40. Mehrabian, A., & Russell, J. A. (James A. (1974). An approach to environmental psychology. M.I.T. Press.
41. Moon, Y. (2002). Personalization and Personality: Some Effects of Customizing Message Style Based on Consumer Personality. Journal of Consumer Psychology, 12(4), 313–325.
42. Mudie, P., Cottam, A., & Raeside, R. (2003). An Exploratory Study of Consumption Emotion in Services. The Service Industries Journal, 23(5), 84–106.
43. Nico H. Frijda. (1987). THE EMOTIONS (STUDIES IN EMOTION AND SOCIAL INTERACTION). Cambridge University Press.
44. Price, L. L., Arnould, E. J., & Tierney, P. (1995). Going to Extremes: Managing Service Encounters and Assessing Provider Performance. Journal of Marketing, 59(2), 83.
45. Pura, M. (2005). Linking perceived value and loyalty in location-based mobile services. Managing Service Quality.
46. Richard S. Lazarus, & Susan Folkman. (1984). Stress, Appraisal, and Coping. Springer Publishing Company.
47. Schelling, T. C. (1984). Choice and consequence. Harvard University Press.
48. Scherer, K. R. (1984). On the nature and function of emotion: A component process approach. In Approaches to emotion (pp. 293 – 317).
49. Seidah, A., & Bouffard, T. (2007). BEING PROUD OF ONESELF AS A PERSON OR BEING PROUD OF ONE’S PHYSICAL APEARANCE: WHAT MATTERS FOR FEELING WELL IN ADOLESCENCE? Social Behavior and Personality, 35(2), 255–268.
50. Shi, L., & Al, E. (2006). The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements. Nature Biotechnology, 24(9), 1151–1161.
51. Smith, C., & Ellsworth, P. (1985). Patterns of cognitive appraisal in emotion. Journal of Personality and Social, 48(4), 813–838.
52. Smock, A. D., Ellison, N. B., Lampe, C., & Wohn, D. Y. (2011). Facebook as a toolkit: A uses and gratification approach to unbundling feature use. Computers in Human Behavior, 27(6), 2322–2329.
53. Swanson, G. E. (1978). Travels Trough Inner Space: Family Structure and Openness to Absorbing Experiences. American Journal of Sociology, 83(4), 890–919.
54. Taylor, S., & Todd, P. (1995). Assessing IT Usage: The Role of Prior Experience. Source: MIS Quarterly, 19115142(4), 561–570.
55. Thong, J. Y. L., Hong, S.-J., & Tam, K. Y. (2006). The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. International Journal of Human-Computer Studies, 64(9), 799–810.
56. Thüring, M., & Mahlke, S. (2007). Usability, aesthetics and emotions in human–technology interaction. INTERNATIONAL JOURNAL OF PSYCHOLOGY, 42(1013), 253–264.
57. Titz, K., Andrus, D., & Miller, J. (2012). Hedonistic Differences Between Mechanical Game Players And Table Game Players: An Exploratory Investigation On The Road To A Comprehensive Theory For Gambling. UNLV Gaming Research & Review Journal, 6(1), 23–32.
58. Venkatech, V. (2000). Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model. Information Systems Research, 11(4), 342–365.
59. Venkatesh, V., & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field. Management Science, 46(2), 186–204.
60. Venkatesh, V., Thong, J., & Xu, X. (2012). Consumer acceptance and user of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.
61. Voss, K. E., Spangenberg, E. R., & Grohmann, B. (2003). Measuring the Hedonic and Utilitarian Dimensions of Consumer Attitude. Journal of Marketing Research, 40(3), 310–320.
62. Wu, J., & Holsapple, C. (2014). Imaginal and emotional experiences in pleasure-oriented IT usage: A hedonic consumption perspective. Information & Management, 51(1), 80–92.
63. Yang, I., & Bahli, B. (2015). Interplay of cognition and emotion in IS usage: Emotion as mediator between cognition and IS usage. Journal of Enterprise Information Management, 28(3), 363–376.
64. Yoo, Y. (2010). COMPUTING IN EVERYDAY LIFE: A CALL FOR RESEARCH ON EXPERIENTIAL COMPUTING. MIS Quarterly, 34(2), 213–231.
65. 湯家偉（譯）. (2016). 結構方程模式：偏最小平方法PLS-SEM. 高等教育文化事業有限公司.

指導教授

陳炫碩(Ken Chen)

審核日期

2017-7-10

推文