跳到主要內容

臺灣博碩士論文加值系統

(44.200.122.214) 您好!臺灣時間:2024/10/06 02:15
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:黃子芸
研究生(外文):HUANG, ZIH-YUN
論文名稱:以修正的UTAUT模型探討國小生手機之黏著度-以臺中市某國小為例
論文名稱(外文):Use of a Modified UTAUT Model to Investigate Smartphone Stickiness-A Case Study of Some Elementary School in Taichung City
指導教授:李德治李德治引用關係
指導教授(外文):LEE,DE-CHIH
口試委員:曹偉駿洪春男
口試委員(外文):CAO,WEI-JUNHONG,CHUN-NAN
口試日期:2020-06-12
學位類別:碩士
校院名稱:大葉大學
系所名稱:資訊管理學系碩士班
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2020
畢業學年度:108
語文別:中文
論文頁數:58
中文關鍵詞:知覺樂趣修正的整合性科技接受模型家庭管教黏著度
外文關鍵詞:Perceived enjoymentModified UTAUT modelParentingStickiness
相關次數:
  • 被引用被引用:0
  • 點閱點閱:99
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
本研究欲了解國小高年級學生對於手機的使用意圖與黏著度之間的關係,修正整合性科技接受模型(UTAUT),將知覺樂趣、家庭管教的變項加入模型中。
透過問卷調查法蒐集資料,回收321份有效問卷,經SPSS 22.0進行處理分析後,研究發現知覺樂趣可做為績效期望與付出期望的前置變項,而行為意圖會正向影響黏著度,但家庭管教並無干擾行為意圖和黏著度的關係。主要研究結果如下:
1. 知覺樂趣會正向影響績效期望。
2. 知覺樂趣會正向影響付出期望。
3. 績效期望會正向影響行為意圖。
4. 付出期望會正向影響行為意圖。
5. 社會影響會正向影響行為意圖。
6. 行為意圖會正向影響黏著度。
7. 促進條件會正向影響黏著度。
8. 家庭管教無干擾行為意圖和黏著度的關係。
最後,根據研究結果,提供實務上的建議,供未來相關研究參考。

關鍵字:知覺樂趣、修正的整合性科技接受模型、家庭管教、黏著度
The purpose of this study is to explore the association among behavioral intention and stickiness. In addition, the survey objects of this study were senior graders from the elementary school. This study was carried out on the base of the Modified UTAUT model, with the inclusion of two variables : Perceived enjoyment and Parenting.
A questionnaire descriptive survey design was adopted to collect the data. Through the analysis of 321 samples by the use of statistical software SPSS22.0, the research results reveals that perceived enjoyment can be used as the antecedence variable of performance expectancy and effort expectancy, and behavioral intention was discovered to be positively associated with stickiness; however, the hypothesis of the moderator is not fully supported, concluding findings as follows:
1. Perceived enjoyment has a positive effect on performance expectancy.
2. Perceived enjoyment has a positive effect on effort expectancy.
3. Performance expectancy has a positive effect on behavioral intention.
4. Effort expectancy has a positive effect on behavioral intention.
5. Social influence has a positive effect on behavioral intention.
6. Behavioral intention has a positive effect on stickiness.
7. Facilitating conditions has a positive effect on stickiness.
8. Parenting will not moderate the effect of behavioral intention on stickiness.
Based on the results of valid samples, summarize the conclusions and provide practical suggestions for future relevant research.

Keywords : Perceived enjoyment, Modified UTAUT model, Parenting, Stickiness

封面內頁
簽名頁
中文摘要 iii
英文摘要 iv
誌謝 vi
目錄 vii
圖目錄 ix
表目錄 x
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的 3
第三節 研究流程 4
第二章 文獻探討 5
第一節 知覺樂趣 5
第二節 整合性科技接受模型的相關理論 6
第三節 黏著度 8
第四節 家庭管教 10
第三章 研究方法 13
第一節 研究架構 13
第二節 研究假設 14
第三節 操作性定義與測量 16
第四節 研究設計與施測對象 20
第五節 資料分析方法與工具 21
第四章 資料分析與研究結果 24
第一節 預試問卷分析 24
第二節 正式問卷分析 35
第三節 假設結果檢定彙整 41
第五章 討論與建議 42
第一節 結論 42
第二節 管理意涵和實務建議 43
參考文獻 45
附錄研究問卷 56
一、中文部份
吳于卉(2017)。國小學童使用數位科技對同儕關係的影響。大葉大學資訊管理學系碩士班碩士論文。
吳昭彥、林惠珠、梁佳玲(2017)。國小學童網路使用行為與同儕關係之研究—以屏東縣某國小高年級為例。source:黃埔學報(WHAMPOA-An Interdisciplinary Journal)。
李怡叡(2015)。一手掌握天下事:以媒體豐富度、科技接受模式探討新聞APP。國立中山大學行銷傳播管理研究所碩士論文。
李家瑩、沈依亭、沈思薇、林家如、劉彤筠(2014)。探討智慧型手機應用程式之使用黏著度。明志科技大學經營管理系專題研究。
李德治(2015)。多變量分析:專題及論文常用的統計方法。臺北:雙葉。
林宗宏(2013)。以科技接受模式探討手機休閒遊戲之使用者行為。中國文化大學數位內容管理產業碩士班碩士論文。
林欣怡(2019)。國中生生活壓力、父母管教方式與手機成癮關係之研究。中國科技大學企業管理系碩士班碩士論文。
林惠雅(2000)。母親與幼兒互動中之教養行為分析。應用心理研究,(6),75-96。
林淑燕(2004)。青少年父母教養方式、人際關係與寂寞之相關研究-以高雄市立高中職學生為例。
邱妤甄(2018)。以整合性科技模式及沉浸經驗探討高等教育學生對遊戲化之接受度。淡江大學教育科技學系碩士班碩士論文,1-99。
邱珠蘭(2014)。國小高年級學生網路使用行為與人際關係之探討-以臺中市某國小為例。僑光科技大學碩士論文。
孫于婷(2018)。結合修正的UTAUT模型與創新擴散理論探討上網裝置之使用行為。大葉大學資訊管理學系碩士班碩士論文。
許怡安(2001)。兒童網路使用與網路媒體素養之研究—以台北縣市國小高年級學童為例。政治大學廣播電視學系碩士論文。
黃雪甄(2012)。使用者的認知風格及知覺玩興對智慧型手機沉浸經驗與成癮之研究。臺灣師範大學工業教育學系在職專班碩士論文,1-129。
黃淑惠(2005)。望子成龍,望女成鳳,談父母的教育期望。取自網路社會學通訊期刊: http://mail. nhu. edu. tw/~ society/ej/45/45-18. htm.
賈中行(2010)。探討網路成癮對消費者購買行為之影響-以沉浸理論為干擾變項。
廖梨里(2013)。整合沉浸理論與計畫行為理論觀點探討影響青少年手機使用之因素。國立虎尾科技大學資訊管理研究所在職專班碩士論文,1-80。
廖思涵(2005)。高雄市國中生網路使用行為,網路沉迷與生活適應,學業成就之相關研究。 國立高雄師範大學教育學系碩士論文,未出版。
劉宛貞(2019)家庭資本、家長教養態度與孩童使用數位裝置管理之研究。家庭資本、家長教養態度與孩童使用數位裝置管理之研究。
蔡淑琴(2013)。臺南市國中生手機使用行為與人際關係及親子互動之相關研究。教育研究論壇,4(2),1-21。
鍾佩育(2009)。國小高年級學童網路使用行為與自我概念、人際關係之研究,國立屏東教育大學碩士論文。
魏美惠、莊淑媛(2016)滑世代幼兒使用 3C 產品及其行為表現與學習態度之研究。國立屏東大學資訊科學系碩士論文。
王智弘(2018)。網路成癮不是罪,是孩子求助的警訊(親子天下)。2018.9.4。https://www.parenting.com.tw/article/5077783-%E7%8E%8B%E6%99%BA%E5%BC%98%EF%BC%9A%E7%B6%B2%E8%B7%AF%E6%88%90%E7%99%AE%E4%B8%8D%E6%98%AF%E7%BD%AA%EF%BC%8C%E6%98%AF%E5%AD%A9%E5%AD%90%E6%B1%82%E5%8A%A9%E7%9A%84%E8%AD%A6%E8%A8%8A/
許家齊(2019)。中小學「手機族」調查,92%家長支持中小學生在校禁用手機(親子天下)。2019.5.2。https://www.parenting.com.tw/article/5079320-%E3%80%90%E6%89%8B%E6%A9%9F%E6%95%99%E9%A4%8A%E8%AA%BF%E6%9F%A5%E3%80%91%E4%B8%AD%E5%B0%8F%E5%AD%B8%E3%80%8C%E6%89%8B%E6%A9%9F%E6%97%8F%E3%80%8D%E8%AA%BF%E6%9F%A5%EF%BC%8C92%25%E5%AE%B6%E9%95%B7%E6%94%AF%E6%8C%81%E4%B8%AD%E5%B0%8F%E5%AD%B8%E7%94%9F%E5%9C%A8%E6%A0%A1%E7%A6%81%E7%94%A8%E6%89%8B%E6%A9%9F/
Digital Report(2020)。DIGITAL AROUND THE WORLD IN APRIL 2020。2020.4.23。https://wearesocial.com/blog/2020/04/digital-around-the-world-in-april-2020
WAVENET(2019)。2019 網路數據大公開 台灣上網普及率高於全球平均近三成。2020.2.25。
https://www.wavenet.com.tw/2020/02/internet-data-2019-%E7%B6%B2%E8%B7%AF%E8%B3%87%E6%96%99/
World Health Organization. (2018). WHO releases new International Classification of Diseases (ICD 11)。https://www.who.int/news-room/detail/18-06-2018-who-releases-new-international-classification-of-diseases-(icd-11)
二、英文部份
Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS quarterly, 227-247.
Ajzen, I. (1991). The theory of planned behavior.Organizational behavior and human decision processes, 50(2): 179-211.
Bronfenbrenner, U. (1979). The ecology of human development. Harvard university press.
Chang, C. W., & Heo, J. (2014). Visiting theories that predict college students’ self-disclosure on Facebook. Computers in Human Behavior, 30, 79-86.
Chau, P. Y., & Hu, P. J. (2002). Examining a model of information technology acceptance by individual professionals: An exploratory study. Journal of management information systems, 18(4), 191-229.
Chen, Y. H., Chien, S. H., Wu, J. J., & Tsai, P. Y. (2010). Impact of signals and experience on trust and trusting behavior. Cyberpsychology, Behavior, and Social Networking, 13(5), 539-546.
Childers, T. L., Carr, C. L., Peck, J., & Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing, 77(4): 511-535.
Chin, W. W., & Gopal, A. (1995). Adoption intention in GSS: relative importance of beliefs. ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 26(2-3), 42-64.
Cyr, D., Head, M., & Ivanov, A. (2006). Design aesthetics leading to m-loyalty in mobile commerce. Information & management, 43(8), 950-963.
Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Doctoral dissertation, Massachusetts Institute of Technology.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
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.
Dubelaar, C., Leong, M., & Alpert, F. (2003). Impact of interactivity on the stickiness of online gift stores. Journal of Asia Pacific Marketing, 2(2), 22-41.
Fishbein, M., and Ajzen, I. (1975). Belief attitude, intention and behavior; an introduction to theory and research, reading. MA:Addison-Wesley.
Furner, C. P., Racherla, P., & Babb, J. S. (2014). Mobile app stickiness (MASS) and mobile interactivity: a conceptual model. The Marketing Review, 14(2), 163-188.
Han-Tang, L., & Chen, H. J. (2016). Relationships Between Parental Internet Intervention, School Engagement, and Risky Online Behaviors Among Adolescents: The Moderatoring Role of Family Cohesion. Jiaoyu Kexue Yanjiu Qikan, 61(4), 205.
Hsu, T. H., & Tang, J. W. (2020). Development of hierarchical structure and analytical model of key factors for mobile app stickiness. Journal of Innovation & Knowledge, 5(1), 68-79.
Kalmus, V., Blinka, L., & Olafsson, K. (2015). Does it matter what mama says: Evaluating the role of parental mediation in European adolescents’ excessive Internet use. Children & Society, 29(2), 122-133.
Koufaris, M., & Hampton-Sosa, W. (2002). Customer trust online: examining the role of the experience with the Web-site. Department of Statistics and Computer Information Systems Working Paper Series, Zicklin School of Business, Baruch College, New York.
Labrecque, L. I. (2014). Fostering consumer–brand relationships in social media environments: The role of parasocial interaction. Journal of Interactive Marketing, 28(2), 134-148.
Lederer, A. L., Maupin, D. J., Sena, M. P., & Zhuang, Y. (2000). The technology acceptance model and the World Wide Web. Decision support systems, 29(3), 269-282.
Li, D., Browne, G. J., & Wetherbe, J. C. (2006). Why do internet users stick with a specific web site? A relationship perspective. International journal of electronic commerce, 10(4), 105-141.
Livingstone, S., & Helsper, E. J. (2008). Parental mediation of children's internet use. Journal of broadcasting & electronic media, 52(4), 581-599.
Lin, J. C.-C. (2007). Online stickiness: its antecedents and effect on purchasing intention. Behaviour & Information Technology, 26(6), 507-516. doi: 10.1080/01449290600740843
Lu, H. P., & Lee, M. R. (2010). Demographic differences and the antecedents of blog stickiness. Online Information Review.
Lu, J., Liu, C., & Wei, J. (2017). How important are enjoyment and mobility for mobile applications?. Journal of Computer Information Systems, 57(1), 1-12.
Maccoby,E.E.&Martin,J.A. (1983) Socialization in the context of the family:Parent-child interaction. In E. M. Hetherington&P.H.
Madden, M., Cortesi, S., Gasser, U., Lenhart, A., & Duggan, M. (2012). Parents, Teens, and Online Privacy. Pew internet & American life project.
Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a World-Wide-Web context. Information & management, 38(4), 217-230.
Mummalaneni, V. (2005). An empirical investigation of web site characteristics, consumer emotional states and on-line shopping behaviors. Journal of Business Research, 58(4), 526-532.
Mun, Y. Y., & Hwang, Y. (2003). Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International journal of human-computer studies, 59(4), 431-449.
Nemzow, M. (1999). Ecommerce stickiness for customer retention. Journal of Internet Banking and Commerce, 4(1), 9908-03.
Prensky, M. (2001). Digital natives, digital immigrants. On the horizon, 9(5).
Powell-Smith, K. A., Stoner, G., Shinn, M. R., & Good III, R. H. (2000). Parent tutoring in reading using literature and curriculum materials: Impact on student reading achievement. School Psychology Review, 29(1), 5-27.
Shin, D. H., Jung, J., & Chang, B. H. (2012). The psychology behind QR codes: User experience perspective. Computers in Human Behavior, 28(4), 1417-1426.
So, K. K. F., Kim, H., & Oh, H. (2020). What makes Airbnb experiences enjoyable? The effects of environmental stimuli on perceived enjoyment and repurchase intention.
Steyer, J. P. (2012). Talking back to Facebook: The common sense guide to raising kids in the digital age. Simon and Schuster.
Taylor, S., & Todd, P. (1995). Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions. International journal of research in marketing, 12(2), 137-155.
Teo, T., & Noyes, J. (2011). An assessment of the influence of perceived enjoyment and attitude on the intention to use technology among pre-service teachers: A structural equation modeling approach. Computers & education, 57(2), 1645-1653.
Twenge, J. M. (2020). Why increases in adolescent depression may be linked to the technological environment. Current opinion in psychology, 32, 89-94.
Valcke, M., De Wever, B., Van Keer, H., & Schellens, T. (2011). Long-term study of safe Internet use of young children. Computers & Education, 57, 1292–1305.
Venkatesh, 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.
Venkatesh, V., and Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2): 186-204.
Venkatesh, V., Speier, C., and Morris, M. G. (2002). User acceptance enablers in individual decision making about technology: toward an integrated model. Decision Sciences, 33(2): 297–316.
Venkatesh, V., Morris, M. G., Davis, G. B., and Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3): 425-478.
Venkatesh, V., Thong, J., and Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 36(1): 157-178.
Walczuch, R., Lemmink, J., & Streukens, S. (2007). The effect of service employees’ technology readiness on technology acceptance. Information & Management, 44(2), 206-215.
Wang, Y. S., & Shih, Y. W. (2009). Why do people use information kiosks? A validation of the Unified Theory of Acceptance and Use of Technology. Government information quarterly, 26(1), 158-165.
Yeh, R., Lin, Y.-C., Tseng, K.-H., Chung, P., Lou, S.-J., & Chen, Y.-C. (2013). Why Do People Stick to Play Social Network Sites? An Extension of Expectation-Confirmation Model with Perceived Interpersonal Values and Playfulness Perspectives. In N. T. Nguyen, B. Trawiński, R. Katarzyniak & G.-S. Jo (Eds.), Advanced Methods for Computational Collective Intelligence (Vol. 457, pp. 37-46): Springer Berlin Heidelberg.
YU, M., YUEN, A. H., & Park, J. A. E. (2012). STUDENTS'COMPUTER USE AT HOME: A STUDY ON FAMILY ENVIRONMENT AND PARENTAL INFLUENCE. Research & Practice in Technology Enhanced Learning, 7(1).
Zhou, T., Li, H., & Liu, Y. (2010). The effect of flow experience on mobile SNS users' loyalty. Industrial Management & Data Systems.
電子全文 電子全文(網際網路公開日期:20250612)
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
無相關期刊