中文文獻
丁于珊 (民102年,12月)。穿戴式裝置 解放你的雙手。CTimes 零組件雜誌。民103年10月2日,取自:http://www.ctimes.com.tw/DispArt/tw/1312112344V9.shtml
丁于珊 (民103年,2月,10日)。科技穿上身 穿戴式裝置戰雲起。CTimes 零組件雜誌。民103年10月3日,取自:
http://www.ctimes.com.tw/DispArt/tw/1402101522UJ.shtml
江柏風 (民103年,7月)。穿戴式裝置引領PCB技術向上提升。工業材料雜誌331期。民103年10月1日,取自:http://www.materialsnet.com.tw/DocView.aspx?id=14949
吳筱雯 (民103年,12月3日)。宏達電、索尼:台灣穿戴裝置市況冷。中時電子報。民103年12月8日,取自:http://www.chinatimes.com/newspapers/20141203000028-260202
邱皓政(民99)。量化研究與統計分析: SPSS (PASW) 資料分析範例解析。台北:五南。
余鑑、嚴萬軒 (民102年,12月)。新世代學習,從行動科技到穿戴科技。國家文官學院 T&D 飛訊,180,1-17。
李孟芬、潘立傑 (民101)。淺談行動健康服務的應用。長期照護雜誌,16(3), 237-250。
李亭亭、施玉珊 (民98)。運用創新擴散理論於促進護理資訊系統之推展。護理雜誌,56(3),18-22。周君倚、陸洛(民103)。以科技接受模式探討數位學習系統使用態度─以成長需求為調節變項。資訊管理學報,21(1), 83-106。林政勳、邱煥科(民103)。穿戴式醫療電子裝置大未來。電工通訊季刊,35-41。
洪聖壹(民103年,10月17日)。Apple Watch SDK 11 月開放!2015 年初開賣。
ETtoday東森新聞。民103年12月27日,取自:http://www.ettoday.net/news/20141017/414285.htm
陳美如、陳冠宇、江碩儒、李俊秀、余文瑞、何清幼等人 (民100)。台北市高血壓個案對遠距健康照護服務接受度之初探。醫療資訊雜誌,20(2),1-13。陳怡靜、胡學誠、徐牧群 (民99)。共乘媒合網站使用行為之結構化模式分析。資訊管理展望,12(2),148-175。陳逸民(民103)。新興藍海市場-智慧型行動與穿戴式顯示產品。光連: 光電產業與技術情報,109,46-49。民103年11月16日,取自:www.pida.org.tw/optolink/optolink_pdf/1030110920.pdf。
陳根 (民103)。穿戴式裝置時代 :奇「機」上身‧第四波工業革命來襲。台北:上奇時代。
陳玉鳳(民103年,6月)。無線動態生理監測 滿足高齡社會所需。工業技術與資
訊,271。民103年10月3日,取自:
http://college.itri.org.tw/TopLPrint.aspx?id=780
陳佑寰(民103年,4月)。穿戴式行動健康科技 牽動生醫個資安全管理。網管人。
民103年10月4日,取自:
http://www.netadmin.com.tw/article_content.aspx?sn=1404100006
陳立儀(民103年,12月25日)。穿戴裝置開戰 Android組聯軍抗Apple。聯合報。民103年12月27日,取自:http://udn.com/news/story/7087/600885
陳炳宏(民103年,11月19日)。小米首款 4G 手機手環聯袂登台!要價 4799開賣。自由時報。民103年12月27日,取自:http://3c.ltn.com.tw/news/14517
國民健康局(民101)。從國民健康局角度談運動樂活。國民體育季刊,41(1),79-84。
湯宗益、江啟惠(民101)。物流業使用行動商務接受度之研究。電子商務研學報,10(3),69-296。
劉籹君、黃興進、廖則竣 (民99)。決策支援系統使用績效之實證研究:結合任務-科技適配與資訊系統成功模式。電子商務學報,12(3),407-430。英文文獻
Ajzen, I. (2005). Attitudes, personality, and behavior. McGraw-Hill International.
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. Springer Berlin Heidelberg.
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social. Behaviour. Englewood Cliffs, NJ:Prentice-Hall.
Ajzen, I., & Fishbein, M. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. MA: Addison-Wesley.
Ajzen, I. (2001). Nature and operation of attitudes. Annual review of psychology, 52(1), 27-58.
Ajzen, I. (1989). Attitude structure and behavior. Attitude structure and function, 241-274.
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
Ajzen, I., & Fishbein, M. (1967). Readings in Attitude Theory and Measurement.
Ajzen, I., & Madden, T. J. (1986). Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control. Journal of experimental social psychology, 22(5), 453-474.
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.
Amara, R. (1990). New directions for innovation. Futures, 22(2), 142-152.
Baber, C. (2001). Wearable computers: A human factors review. International Journal of Human-Computer Interaction, 13(2), 123-145.
Billinghurst, M., & Starner, T. (1999). Wearable devices: new ways to manage information. Computer, 32(1), 57-64.
Babbie, E. R. (2010). Introduction to social research. Wadsworth Cengage learning.
Barbarito, F., Pinciroli, F., Barone, A., Pizzo, F., Ranza, R., Mason, J., Mazzola, L.,
Bonacina, S., & Marceglia, S. (2013). Implementing the lifelong personal health record in a regionalised healthinformation system: The case of Lombardy, Italy. Computers in biology and medicine.
Chang, S. C., Tung, F. C., & Chou, C. M. (2008). An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry. International journal of medical informatics, 77(5), 324-335.
Chang, S. C., & Tung, F. C. (2008a). An empirical investigation of students' behavioural intentions to use the online learning course websites. British Journal of Educational Technology, 39(1), 71-83.
Chang, S. C., & Tung, F. C. (2008b). A new hybrid model for exploring the adoption of online nursing courses. Nurse Education Today, 28(3), 293-300.
Chang, S. C., & Tung, F. C. (2008c). Nursing students’ behavioral intention to use online courses: A questionnaire survey. International journal of nursing studies, 45(9), 1299-1309.
Chau, P. Y., & Hu, P. J. H. (2001). Information technology acceptance by individual professionals: A model comparison approach. Decision Sciences, 32(4), 699-719.
Cherrylyn Buenaflor, & Hee-Cheol Kim, (2013). Six Human Factors to Acceptability of Wearable Computers. International Journal of Multimedia and Ubiquitous Engineering, 8(3), 103-114.
Champney, L. (1995). Introduction to quantitative political science. HarperCollins College Publishers.
Chen, R. F., & Hsiao, J. L. (2012). An empirical study of physicians' acceptance of hospital information systems in Taiwan. Telemedicine and e-Health, 18(2), 120-125.
Chow, M., Herold, D. K., Choo, T. M., & Chan, K. (2012). Extending the technology acceptance model to explore the intention to use Second Life for enhancing healthcare education. Computers & Education, 59(4), 1136-1144.
Carrion, I., Alemán, J. F., & Toval, A. (2011, August). Assessing the HIPAA standard in practice: PHR privacy policies. In Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE (pp. 2380-2383). IEEE.
Comrey, A. L. (1988). Factor-analytic methods of scale development in personality and clinical psychology. Journal of consulting and clinical psychology, 56(5), 754.
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.
Dishaw, M., & Strong, D. (1998). Experience as a moderating variable in a task-
technology fit model. AMCIS 1998 Proceedings, 242.
Dishaw, M. T., & Strong, D. M. (1999). Extending the technology acceptance model with task–technology fit constructs. Information & Management, 36(1), 9-21.
Dishaw, M. T., Strong, D. M., & Bandy, D. B. (2006). Extending task technology fit with computer self-efficacy. ACM SIGMIS Database, 37(2-3), 96-107.
Dishaw, M., Strong, D., & Bandy, D. B. (2002). Extending the task-technology fit model with self-efficacy constructs. AMCIS 2002 Proceedings, 143.
Drucker, P. F. (1985). Innovations-Management für Wirtschaft und Politik. Düsseldorf: Econ-Verlag.
Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS quarterly, 213-236.
Goodhue, D. L. (1995). Understanding user evaluations of information systems. Management science, 41(12), 1827-1844.
Goodhue, D. L. (1997). The model underlying the measurement of the impacts of the IIC on the end-users. JASIS, 48(5), 449-453.
Garfield, M. J. (2005). Acceptance of ubiquitous computing. Information Systems Management, 22(4), 24-31.
Gebauer, J., & Shaw, M. (2002). A theory of task/technology fit for mobile applications to support organizational processes. University of Illinois at Urbana-Champaign.
Groen, P. J., & Goldstein, D. (2010). mHealth, mEHR and mPHR Current Solutions. Retrieved December 25, 2014 from
http://www.hoise.com/vmw/10/articles/vmw/LV-VM-02-10-12.html
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2009). Multivariate Data Analysis.
Hardgrave, B. C., Davis, F. D., & Riemenschneider, C. K. (2003). Investigating determinants of software developers' intentions to follow methodologies. Journal of Management Information Systems, 20(1), 123-152.
Hu, P. J., Chau, P. Y., Sheng, O. R. L., & Tam, K. Y. (1999). Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of management information systems, 91-112.
Hung, M. C., & Jen, W. Y. (2012). The adoption of mobile health management services : an empirical study. Journal of medical systems, 36(3), 1381-1388.
Information Handling Services. (September, 2013). Wearable Technology – Market Assessment. An HIS Whitepaper.
King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information & Management, 43(6), 740-755.
Kegerreis, R. J., Engel, J. F., & Blackwell, R. D. (1970). Innovativeness and diffusiveness: A marketing view of the characteristics of early adopters. Research in consumer behavior, 671-689.
Kotler, P., & De Bes, F. T. (2003). Lateral marketing: New techniques for finding breakthrough ideas. John Wiley & Sons.
Kuo, R. Z., & Lee, G. G. (2011). Knowledge management system adoption: exploring the effects of empowering leadership, task-technology fit and compatibility. Behaviour & Information Technology, 30(1), 113-129.
Kasl, S. V., & Cobb, S. (1966). Health behavior, illness behavior and sick role behavior: I. Health and illness behavior. Archives of Environmental Health: An International Journal, 12(2), 246-266.
Kharrazi, H., Chisholm, R., VanNasdale, D., & Thompson, B. (2012). Mobile personal health records: An evaluation of features and functionality.International journal of medical informatics, 81(9), 579-593.
Lee, Y., Kozar, K. A., & Larsen, K. R. (2003). The technology acceptance model: past, present, and future. Communications of the Association for Information Systems, 12(1), 50.
Lee, M. C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130-141.
Lee, J., Yoo, J. W., Lim, S. H., Park, K. W., & Park, K. H. (2010). A Ubiquitous Fashionable Computer with an i-Throw Device on a Location-based Service Environment. Mobile Intelligence, 510-529.
Lee, Y. H., Hsieh, Y. C., & Hsu, C. N. (2011). Adding Innovation Diffusion Theory to the Technology Acceptance Model: Supporting Employees' Intentions to use E-Learning Systems. Educational Technology & Society, 14(4), 124-137.
Larsen, T. J., Sørebø, A. M., & Sørebø, Ø. (2009). The role of task-technology fit as users’ motivation to continue information system use. Computers in Human Behavior, 25(3), 778-784.
Larsen, T. J., & McGuire, E. (Eds.). (1998). Information systems innovation and diffusion: issues and directions. Igi Global.
Lin, T. C., & Huang, C. C. (2008). Understanding knowledge management system usage antecedents: An integration of social cognitive theory and task technology fit. Information & Management, 45(6), 410-417.
Lin, Y. H., Chen, R. R., Guo, S. H. M., Chang, H. Y., & Chang, H. K. (2012). Developing a web 2.0 diabetes care support system with evaluation from care provider perspectives. Journal of medical systems, 36(4), 2085-2095.
Lin, W. S., & Wang, C. H. (2012). Antecedences to continued intentions of adopting e-learning system in blended learning instruction: A contingency framework based on models of information system success and task-technology fit. Computers & Education, 58(1), 88-99.
Lu, H. P., & Yang, Y. W. (2014). Toward an understanding of the behavioral intention to use a social networking site: An extension of task-technology fit to social-technology fit. Computers in Human Behavior, 34, 323-332.
Mann, S. (2013). Wearable computing. The Encyclopedia of Human-Computer Interaction, 2nd Ed.
Madden, T. J., Ellen, P. S., & Ajzen, I. (1992). A comparison of the theory of planned behavior and the theory of reasoned action. Personality and social psychology Bulletin, 18(1), 3-9.
Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information systems research, 2(3), 192-222.
Nunnally, J.C. (1978). Psychometric theory(2nd ed). New York: Mcgraw-Hill.
Oh, S., Ahn, J., & Kim, B. (2003). Adoption of broadband Internet in Korea: the role of experience in building attitudes. Journal of Information Technology, 18(4), 267-280.
Pender, N. J., Murdaugh, C. L., & Parsons, M. A. (2002). The health promotion model. Health promotion in nursing practice, 4.
Pituch, K. A., & Lee, Y. K. (2006). The influence of system characteristics on e-learning use. Computers & Education, 47(2), 222-244.
Pagliari, C., Detmer, D., & Singleton, P. (2007). Potential of electronic personal health records. BMJ, 335(7615), 330-333.
Rogers, E. M. (1983). Diffusion of innovations (3rd ed). New York, NY:The Free Press.
Rogers, E. M. (1995). Diffusion of innovations. (Vol. 4):NY:The Free.
Rogers, E. M. (2010). Diffusion of innovations. Simon and Schuster.
Robertson, T. S. (1967). The process of innovation and the diffusion of innovation. The Journal of Marketing, 14-19.
Ryan, B., & Gross, N. C. (1943). The diffusion of hybrid seed corn in two Iowa communities. Rural sociology, 8(1), 15-24.
Stone, T. H., Jawahar, I. M., & Kisamore, J. L. (2010). Predicting academic misconduct intentions and behavior using the theory of planned behavior and personality. Basic and Applied Social Psychology, 32(1), 35-45.
Straub, D., Limayem, M., & Karahanna-Evaristo, E. (1995). Measuring system usage: implications for IS theory testing. Management science, 41(8), 1328-1342.
Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Management science, 42(1), 85-92.
Seashore, S. E., & Taber, T. D. (1976). Job satisfaction indicators and their correlates. Measuring work quality for social reporting, 89-124.
Shang, R. A., Chen, Y. C., & Chen, C. M. (2007). Why people blog? An empirical investigations of the task technology fit model. PACIS 2007 Proceedings, 5.
Tehrani, Kiana, & Andrew Michael. (March, 2014) Wearable Technology and Wearable Devices: Everything You Need to Know. Wearable Devices Magazine.
Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: a test of competing models. Information systems research, 6(2), 144-176.
Trott, P. (2008). Innovation management and new product development. Pearson education.
Toft, M. B., Schuitema, G., & Thøgersen, J. (2014). Responsible technology acceptance: Model development and application to consumer acceptance of Smart Grid technology. Applied Energy, 134, 392-400.
Tang, P. C., Ash, J. S., Bates, D. W., Overhage, J. M., & Sands, D. Z. (2006). Personal health records: definitions, benefits, and strategies for overcoming barriers to adoption. Journal of the American Medical Informatics Association,13(2), 121-126.
Manhattan Research’ (2013) U.S. mobile health audience jumps to 95 million adults – new research highlights mobile opportunities for pharma marketers. Manhattan Research’s Cybercitizen Health.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management science, 46(2), 186-204.
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., & Ramesh, V. (2006). Web and wireless site usability: understanding differences and modeling use. Mis Quarterly, 181-206.
Venkatraman, N. (1989). The concept of fit in strategy research: toward verbal and statistical correspondence. Academy of management review, 14(3), 423-444.
Van der Aa, W., & Elfring, T. (2002). Realizing innovation in services. Scandinavian Journal of Management, 18(2), 155-171.
Wu, J. H., & Wang, S. C. (2005). What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Information & management, 42(5), 719-729.
Yu, J., Ha, I., Choi, M., & Rho, J. (2005). Extending the TAM for a t-commerce. Information & Management, 42(7), 965-976.
Zigurs, I., & Buckland, B. K. (1998). A theory of task/technology fit and group support systems effectiveness. MIS quarterly, 313-334.
網頁部分
Allion Labs (2014)。CES 2014系列報導(一):後智慧型手機時代的新寵兒:穿戴式科技裝置。 Allion Labs, Inc. 民103年10月20日,取自:http://technical435.rssing.com/browser.php?indx=10762068&item=21
International Data Corporation Research (2014) Smartphone OS Market Share, Q2, 2014. Retrieved October 16, 2014 from
http://www.idc.com/prodserv/smartphone-os-market-share.jsp
International Data Corporation Research (2013) Worldwide Quarterly Mobile Phone Tracker. November 2014 Retrieved October 16, 2014 from http://www.idc.com/tracker/showproductinfo.jsp?prod_id=37
THE VERGE (2014). Stay fit: Jawbone Up24 and Nike+ FuelBand SE review. Valentina. palladino. THE VERGE, Vox Media, Inc. Retrieved September 15, 2014 from http://www.theverge.com/2014/2/14/5408910/jawbone-up24-nike-fuelband-se-review
工業技術研究院(民103年,4月)。智慧行動健康裝置 居家守護不打烊。工業技術研究院新聞資料庫。民103年10月18日,取自:https://www.itri.org.tw/chi/news/detail.asp?RootNodeId=060&NodeId=061&NewsID=840
台北市政府衛生局(民93)。淺談職場健康促進與健康管理。民103年12月20日,取自:http://www.health.gov.tw/Default.aspx?tabid=417&mid=537&itemid=15401
世界衛生組織(1948)。世界衛生組織對健康的定義。民103年12月20日,取自:http://www.who.int/suggestions/faq/zh/index.html
永齡生技。穿戴式裝置簡介。永齡生技。民103年10月20日,取自:http://ylbiotech.com/ThinkTanks
拓墣產業研究所(民103年,8月,5日)。穿戴裝置話題火,要成營收解藥還得再等等。拓墣產業研究所新聞稿。民103年10月1日,取自:
http://www.topology.com.tw/release/releasecontent.asp?ID=49RN6E71F1U38NFC3EPWS1BQG6
教育部體育署(民102)。運動城市調查。台北:教育部體育署。民103年11月1日,取自:
http://www.edu.tw/pages/detail.aspx?Node=1088&Page=22013&wid=d5f7055e-a9e5-4311-9d7f-6831202fa970&Index=1
黃裕斌(民103年,6月)。從使用者行為樣態探討行動健康未來發展與穿戴式裝置商機。台灣服務業聯盟。民103年10月20日,取自:http://www.twcsi.org.tw/topic.php?Isid=4&Igp=1
黃偉正(民102年,4月)。穿戴式產品演化趨勢與開發策略思維分析。市場情報與諮詢研究所(MIC)研究報告。民103年10月20日,取自:
http://mic.iii.org.tw/aisp/reports/reportdetail_register.asp?docid=3015&rtype=freereport
謝宗閔、林楨喨、楊傑能 (民103年,2月)。關鍵元件襄助 穿戴式醫療設備蔚為風潮。Micro-Electronics新電子。民103年10月2日,取自:http://www.mem.com.tw/article_content.asp?sn=1401280006
衛生福利部國民健康署(民98)。國民健康訪問調查。民103年12月21日,取自:http://www.hpa.gov.tw/BHPNet/Web/HealthTopic/TopicArticle.aspx?No=201203210
001&parentid=200712270001