研究生: |
楊麗菁 Li-Ching Yang |
---|---|
論文名稱: |
以計劃行為理論探討消費者購買智慧鞋之行為意圖 Applying the Theory of Planned Behavior to Consumers' Behavioral Intentions toward Smart Shoes |
指導教授: |
曾盛恕
Seng-Su Tsang 林孟彥 Meng-Yen Lin |
口試委員: |
林孟彥
Meng-Yen Lin 陳家祥 Ja-Shen Chen 曾盛恕 Seng-Su Tsang |
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: | 2019 |
畢業學年度: | 107 |
語文別: | 中文 |
論文頁數: | 47 |
中文關鍵詞: | 智慧鞋 、智慧穿戴式裝置 、計劃行為理論 |
外文關鍵詞: | Smart shoes, Smart wearable devices, TPB |
相關次數: | 點閱:451 下載:0 |
分享至: |
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
隨著資訊科技與智慧產品的不斷演進,智慧型穿戴式裝置已經成為現代人生活中的一部分。高科技及電子產品業者每年推陳出新各式各樣的智慧型穿戴式裝置,隨著生活品質提升及運動風氣的盛行,市面上越來越多結合運動數據及特殊功能的智慧穿戴裝置,本研究探討產品為智慧鞋,並採用計畫行為理論了解一般社會大眾對智慧鞋之態度與購買意圖。本研究以線上問卷進行調查,試圖了解受訪者對智慧鞋的看法,透過計劃行為理論分析,利用「生理訊號」、「附加價值」、「社群意識」當作外生變數設計出問卷,研究這三項變數與態度、主觀規範及知覺行為控制的關係。
研究結果顯示,生理訊號能顯著正向影響知覺行為控制。附加價值與態度有顯著正向關係。社群意識顯著正向影響主觀規範及知覺行為控制。最後,行為意圖與態度、主觀規範及知覺行為控制有顯著的正向關係。
With the evolution of information technology and smart products, smart wearable devices have become a part of modern life. Every year, high-tech and electronic products manufacturers introduce a variety of smart wearable devices. With the improvement of quality of life and the prevalence of sports, more and more smart wearable devices combining sports data and special functions have been launched into market. We used the Theory of Planned Behavior to understand the public's attitude towards and purchase intentions. This study was conducted by online questionnaire, trying to understand the respondents' perceptions of smart shoes. Through the analysis, we used three variables, which are physiological signals, added value, and sense of community, to set up questionnaires, and then explored the relationship between TPB model.
The results show that physiological signals will significantly influence perceived behavioral control. There is a significantly positive relationship between added value and attitude. Sense of community will positively affects subjective norms and perceived behavioral control. In the end, behavior intention is significantly positively associated with attitude, subjective norm, and perceived behavioral control.
Ajzen, I. (1985). From Intentions to Actions: A Theory of Planned Behavior. Action Control: From cognitions to behaviors (pp. 11-39). Berlin, Heidelberg: Springer.
Ajzen, Icek. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. doi:10.1016/07495978(91)90020-T
Ajzen, Icek. (2002). Perceived Behavioral Control, Self-Efficacy, Locus of Control, and the Theory of Planned Behavior1. Journal of Applied Social Psychology, 32(4), 665-683. doi:10.1111/j.1559-1816.2002.tb00236.x
Ajzen, Icek. (2006). Behavioral Interventions Based on the Theory of Planned Behavior.
Ajzen, Icek, & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour. Prentice-Hall, Englewood Cliffs, NJ.
Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological bulletin, 88(3), 588-606.
Brauner, P., Calero Valdez, A., Schroeder, U., & Ziefle, M. (2013). Increase Physical Fitness and Create Health Awareness through Exergames and Gamification, Berlin, Heidelberg.
Case, M. A., Burwick, H. A., Volpp, K. G., & Patel, M. S. (2015). Accuracy of smartphone applications and wearable devices for tracking physical activity data. JAMA, 313(6), 625-626. doi:10.1001/jama.2014.17841
Chan, M., Estève, D., Fourniols, J.-Y., Escriba, C., & Campo, E. (2012). Smart wearable systems: Current status and future challenges. Artificial Intelligence in Medicine, 56(3), 137-156. doi:10.1016/j.artmed.2012.09.003
Chen, M., Huang, B., & Xu, Y. (2008). Postural kyphosis detection using intelligent shoes. Paper presented at the Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on.
Chernatony, L. d., Fiona, H., & Riley, F. D. O. (2000). Added value: its nature, roles and sustainability. European Journal of Marketing, 34(1/2), 39-56. doi:10.1108/03090560010306197
DeVellis, R. F. (2016). Scale development: Theory and applications (Vol. 26). Newbury Park, CA: Sage publications.
Esakia, A., McCrickard, D. S., Harden, S., & Horning, M. (2018). FitAware: Promoting Group Fitness Awareness ThroughGlanceable Smartwatches. Paper presented at the Proceedings of the 2018 ACM Conference on Supporting Groupwork, Sanibel Island, Florida, USA.
Eskofier, B. M., Lee, S. I., Baron, M., Simon, A., Martindale, C. F., Gaßner, H., & Klucken, J. (2017). An Overview of Smart Shoes in the Internet of Health Things: Gait and Mobility Assessment in Health Promotion and Disease Monitoring. Applied Sciences, 7(10), 986.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of marketing research, 382-388.
Gatto, A., & Frontoni, E. ( 2014). Energy Harvesting system for smart shoes. Paper presented at the 2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA).
Godin, G., & Kok, G. (1996). The theory of planned behavior: a review of its applications to health-related behaviors. American journal of health promotion, 11(2), 87-98.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (1998). Multivariate data analysis (Vol. 5): Prentice hall Upper Saddle River, NJ.
Hayakawa, Y., Kawanaka, S., Kanezaki, K., Minami, K., & Doi, S. (2015). Study on Presentation System for Walking Training Using High-Performance Shoes. Journal of Robotics and Mechatronics, 27(6), 706-713. doi:10.20965/jrm.2015.p0706
Hu, L. t., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: a multidisciplinary journal, 6(1), 1-55.
Hwang, P.-Y., Chou, C.-C., Fang, W.-C., & Hwang, C.-M. (2016). Smart shoes design with embedded monitoring electronics system for healthcare and fitness applications. Paper presented at the 2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW).
Karvonen, J. V., T. Sports Medicin. (1988). Heart Rate and Exercise Intensity During Sports Activities. Sports Medicine, 5(5), 303-311. doi:10.2165/00007256-198805050-00002
Kong, K., Bae, J., & Tomizuka, M. (2008). Detection of abnormalities in a human gait using smart shoes. Paper presented at the Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2008.
Kramer, R. M. (1993). Cooperation and organizational identification. NJ: Prentice-Hall.
Kumari, P., Mathew, L., & Syal, P. (2017). Increasing trend of wearables and multimodal interface for human activity monitoring: A review. Biosensors and Bioelectronics, 90, 298-307. doi:10.1016/j.bios.2016.12.001
McMillan, D. W., & Chavis, D. M. (1986). Sense of community: A definition and theory. Journal of Community Psychology, 14(1), 6-23. doi:doi:10.1002/1520-6629(198601)14:1<6::AID-JCOP2290140103>3.0.CO;2-I
Osborne, S., Douglas, C., Reid, C., Jones, L., & Gardner, G. (2015). The primacy of vital signs – Acute care nurses’ and midwives’ use of physical assessment skills: A cross sectional study. International Journal of Nursing Studies, 52(5), 951-962. doi:10.1016/j.ijnurstu.2015.01.014
Schumacker, R. E., & Lomax, R. G. (2012). A beginner's guide to structural equation modeling: Routledge.
Ullman, J. B., & Bentler, P. M. (2012). Structural equation modeling. Handbook of Psychology, Second Edition, 2.
Wilden, J., Chandrakar, A., Ashok, A., & Prasad, N. (2017, 15-18 Oct. 2017). IoT based wearable smart insole. Paper presented at the 2017 Global Wireless Summit (GWS).
Wood, T. L. (1994). Smart shoes: Google Patents.
吳思穎、周學雯. (2016). 穿戴式裝置應用於運動訓練之探討-以GPS智慧運動錶為例. 中華體育季刊, 30(1), 39-48. doi:10.3966/102473002016033001006
周子敬. (2006). 結構方程模式 (SEM): 精通 LISREL: 全華科技圖書股份有限公司.
林聖翔. (2017). 穿戴式裝置在運動情境下接受度研究. (碩士), 輔仁大學, 新北市.
陳智揚. (2015). 穿戴式科技. 台達電子工業股份有限公司. 科學發展, 512, 20-25.