臺灣博碩士論文加值系統

目錄
摘要 i
ABSTRACT ii
誌謝 iv
目錄 v
表目錄 viii
圖目錄 x
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的 3
1.3 研究範圍與限制 3
1.4 研究架構 3
第二章 文獻探討 5
2.1 穿戴式裝置相關文獻 5
2.1.1 穿戴式裝置 5
2.1.2睡眠障礙相關文獻 7
2.1.3睡眠障礙的評估方式 9
2.1.4睡眠中心營運概況 11
2.1.5穿戴式裝置應用於睡眠障礙相關文獻 12
2.2 商業生態系統 14
2.2.1商業生態系統相關文獻 14
2.2.2商業生態系統之特性 18
2.2.3 睡眠商業生態系統相關文獻 21
2.3 商業模式 28
2.3.1 商業模式相關文獻 28
2.3.2睡眠產業商業模式構面相關文獻 32
2.4 模糊德爾菲法 36
第三章 研究方法與流程 41
3.1 研究流程 41
3.2睡眠商業生態系統之架構 42
3.3睡眠障礙商業生態系統之商業模式 47
3.4 穿戴式裝置應用於睡眠障礙商業生態系統營運模式前測研究問卷分析 62
3.4 Fuzzy Delphi Method之研究方法 69
3.4.1模糊德爾菲法說明 69
3.4.2模糊德爾菲法問卷設計 72
第四章 研究結果與分析 74
4.1研究問卷分析 74
4.2 穿戴式裝置應用於睡眠障礙商業生態系統營運模式第一回合問卷分析 75
4.2.1 目標客層 75
4.2.2 價值主張 75
4.2.3 通路 76
4.2.4 顧客關係 77
4.2.5 收益流 78
4.2.6 關鍵資源 78
4.2.7 關鍵活動 79
4.2.8 關鍵合作夥伴 80
4.2.9 成本結構 80
4.3 穿戴式裝置應用於睡眠障礙商業生態系統營運模式第二回合問卷分析 81
4.3.1 第一回合專家意見彙整與建立第二回合問卷 82
4.3.2 第二回問卷分析 84
4.4 建立穿戴式裝置應用於睡眠障礙商業生態系統營運模式 85
第五章 研究結論與建議 90
5.1 研究結論 90
5.2研究建議 91
參考文獻 93
附錄 104

【中文文獻】
期刊
1.王琬昀，陳賜賢，徐文華，任上鳴，甘岱佑，黃仕宗，王衍襲，富士Chimera總研(2018)，智慧醫療趨勢暨應用案例，資策會產業情報研究所。
2.朱哲生(2011)，失眠之最新概況，台灣醫界期刊，第五十四卷第六期。
3.江渝(2016)，智慧穿戴裝置於健康管理的市場應用與商業模式探討，國立政治大學商學院經營管理碩士學程全球企業家組碩士論文。
4.吳家碩(2009)，【好眠筆記】何謂『睡眠檢查』？七類適用對象，康健專欄。
5.吳萬益(2015)，企業研究方法，華泰文化。
6.李佩珊、陳建和(2013)，從商業生態系統觀點探討醫療觀光健檢產業，旅遊健康學刊 第12 卷 第一期，P.17-36。
7.李俊毅，白佳原，游士嫺，曾馨慧，黃靖雅(2009)，教學醫院設立睡眠中心之損益平衡分析，中山醫學雜誌,，第20卷第二期，p. 113-p. 114。
8.李瑜(2014)，穿戴式電子，掌握三大關鍵核心技術，電工通訊 C.I.E.E Magazine。
9.林甦，任澤平(2009)，模糊德爾非法及其應用，中國科技論壇，第五期。
10.林敬文, 吳佳珈(2017)，穿戴式感測警示功能智慧運動衣設計，華岡紡織期刊，24卷8期。
11.林韻芬(2013)，以模糊德爾菲法應用於劃定都市更新地區評估指標之研究，國立屏東商業技術學院不動產經營所碩士論文。
12.洪祺森. (2017). 文化創意產業園區營運模式與群聚策略之研究. 商業設計學報, (21), 57-76.
13.原磊(2007)，國外商業模式理論研究評介，外國經濟與管理，第29卷第10期。
書籍
14.郭國泰‧司徒達賢‧于卓民(2000)，商業生態系統中利基者策略之變遷：以資訊安全軟體公司為例 (1986 – 2000)，輔仁管理評論。
15.陳昌偉、楊建銘(2006)，失眠病因理論與認知行為治療療效因子：理論與實務的對應，臨床心理學刊，第三卷第一期，p.1-p.12。
16.陳崇賢(2009)，失眠之評估與治療，家庭醫學與基層治療期刊，第二十五卷第三期。
17.陳濘宏(2018)，睡眠醫學的未來趨勢，長庚醫訊，第三十九卷第三期。
18.曾雅京(2019)，個人化智慧睡眠服務平台，國立臺灣大學管理學院企業管理碩士專班碩士論文。
19.湯幃皓(2018)，皮膚貼片式脈搏心血管能量擷取器與工作模態之研究與實作，國立台灣大學工學院孤城科學及海洋工程研究所碩士論文。
20.黃建文，王婉馨，張庭語(2016)，應用模糊德菲法與模糊層級分析法於美容SPA工作分析，育達科大學報43期，第 1-20 頁。
21.楊敏生(1994)，模糊理論簡介，數學傳播，第18卷一期。
22.葉晉嘉，翁興利，吳濟華(2007)，德菲法與模糊德菲法之比較研究，調查研究方法與應用 ；第 21期 P31 – 58。
23.葉晉嘉，翁興利，吳濟華(2007)，德菲法與模糊德菲法之比較研究，調查研究-方法與應用，第21期。
24.劉文德(2019)，當睡眠障礙患者遇到AI 長期動態數據蒐集更有助於改善與預防，今周刊名人專欄。
25.劉寅春(2009)，普及化醫療產業之商業發展 專案分析 – 英諾美公司與睡眠者教練，國立臺灣大學管理學院企業管理碩士專班碩士論文。
論文
26.鄭滄濱(2001)，軟體組織提昇人員能力之成熟度模糊評估模式，國立台灣科技大學 資訊管理系碩士學位論文。
27.羅健文，邱良忠(2015)，應用模糊德爾菲法與分析網路程序法建立綠色運輸與遊憩路線規劃指標之研究，台灣土地研究第十八卷第二期，P.81-P.108。
28.鐘威昇(2013)，失眠的分類及治療，學術期刊。
計畫
29.frost & Sullivan(2018)，工研院產科國際所。
30.楊家琳(2018)，睡眠科技：創新腦電活動監測裝置之發展與應用，經濟部技術處科專計畫成果。
31.鄭月雅(2006)，由社會發展趨勢探討國人睡眠品質，行政院專載分析。
網頁
32.大紀元趨勢觀察(2008)，新新行業：200億美元的睡眠產業，https://www.epochtimes.com/b5/8/11/8/n2323764.htm
33.李清遠(2019)，3 億人撐起 4000 億睡眠經濟，你的「缺覺」很燒錢-創新前線，https://www.chainnews.com/zh-hant/articles/019967378924.htm
34.商業生態系的理論緣起(2010)，
http://business-ecosystem.blogspot.com/2010/01/blog-post.html
35.黃筱珮(2017)，睡眠危機與商機，民報，https://www.peoplenews.tw/news/bbda212c-6f30-46e6-b40e-ddfb4c2d7220
36.勤業眾信(2016)，行動醫療商機觀察－從大數據應用及資訊安全看台灣發展契機，https://www2.deloitte.com/content/dam/Deloitte/tw/Documents/life-sciences-health-care/tw-2016mhealth-business.pdf
37.經濟部技術處(2013)，2013年重要產業技術-科技服務創新，http://investtaiwan.org/doc/itech/2013/2013_2_5_3.pdf
38.資策會(2017)，智慧穿戴 創新生活 解析智慧穿戴式裝置市場趨勢與創新產品應用，https://www.iii.org.tw/Focus/FocusDtl.aspx?f_type=2&f_sqno=Zdw7bw%2B50oGAn2GA6qArNg__&fm_sqno=13
【英文文獻】
書籍
39.Slywotzky, A. J., Morrison, D. J., & Andelman, B. (2007). The profit zone: How strategic business design will lead you to tomorrow's profits. Currency.
40.Osterwalder, A., & Pigneur, Y. (2010). Business model generation: a handbook for visionaries, game changers, and challengers. John Wiley & Sons.
41.Weill, P., & Vitale, M. (2001). Place to space: Migrating to eBusiness Models. Harvard Business Press.
42.Linder, J. (2000). Changing business models: Surveying the landscape.
Journal
43.Ishikawa, A., Amagasa, M., Shiga, T., Tomizawa, G., Tatsuta, R., & Mieno, H. (1993). The max-min Delphi method and fuzzy Delphi method via fuzzy integration. Fuzzy sets and systems, 55(3), 241-253.
44.Schwartz, A. R., Cohen-Zion, M., Pham, L. V., Gal, A., Sowho, M., Sgambati, F. P., ... & Glasner, L. (2020). Brief Digital Sleep Questionnaire Powered by Machine Learning Prediction Models Identifies Common Sleep Disorders. Sleep Medicine.
45.Burgdorf, A., Güthe, I., Jovanović, M., Kutafina, E., Kohlschein, C., Bitsch, J. Á., & Jonas, S. M. (2018). The mobile sleep lab app: An open-source framework for mobile sleep assessment based on consumer-grade wearable devices. Computers in biology and medicine, 103, 8-16.
46.Marakhimov, A., & Joo, J. (2017). Consumer adaptation and infusion of wearable devices for healthcare. Computers in Human Behavior, 76, 135-148.
47.Fogg, B. J. (2002). Persuasive technology: using computers to change what we think and do. Ubiquity, 2002(December), 2.
48.Farahani, B., Firouzi, F., Chang, V., Badaroglu, M., Constant, N., & Mankodiya, K. (2018). Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare. Future Generation Computer Systems, 78, 659-676.
49.Reeder, B., & David, A. (2016). Health at hand: a systematic review of smart watch uses for health and wellness. Journal of biomedical informatics, 63, 269-276.
50.Baden-Fuller, C., & Mangematin, V. (2013). Business models: A challenging agenda. Strategic Organization, 11(4), 418-427.
51.Zott, C., & Amit, R. (2010). Business model design: an activity system perspective. Long range planning, 43(2-3), 216-226.
52.Zott, C., Amit, R., & Massa, L. (2011). The business model: recent developments and future research. Journal of management, 37(4), 1019-1042.
53.Barnes, C. M., & Watson, N. F. (2019). Why healthy sleep is good for business. Sleep medicine reviews, 47, 112-118.
54.Fotiadis, D. I., Glaros, C., & Likas, A. (2006). Wearable medical devices. Wiley Encyclopedia of Biomedical Engineering.
55.Ban, D. J., & Lee, T. J. (2001). Sleep duration, subjective sleep disturbances and associated factors among university students in Korea. Journal of Korean Medical Science, 16(4), 475.
56.Grigsby-Toussaint, D. S., Shin, J. C., Reeves, D. M., Beattie, A., Auguste, E., & Jean-Louis, G. (2017). Sleep apps and behavioral constructs: A content analysis. Preventive medicine reports, 6, 126-129.
57.Yacchirema, D., Sarabia-Jácome, D., Palau, C. E., & Esteve, M. (2018). System for monitoring and supporting the treatment of sleep apnea using IoT and big data. Pervasive and Mobile Computing, 50, 25-40.
58.Due, B. L. (2014). The future of smart glasses: An essay about challenges and possibilities with smart glasses. Working papers on interaction and communication, 1(2), 1-21.
59.Epstein, L. J., & Valentine, P. S. (2010). Starting a sleep center. Chest, 137(5), 1217-1224.
60.Ding, E. Y., Ensom, E., Hafer, N., Buchholz, B., Picard, M. A., Dunlap, D., ... & Fitzgibbons, T. P. (2019). Point-of-care technologies in heart, lung, blood and sleep disorders from the Center for Advancing Point-of-Care Technologies. Current Opinion in Biomedical Engineering, 11, 58-67.
61.Lin, F., Zhuang, Y., Song, C., Wang, A., Li, Y., Gu, C., ... & Xu, W. (2016). SleepSense: A noncontact and cost-effective sleep monitoring system. IEEE transactions on biomedical circuits and systems, 11(1), 189-202.
62.Rowe, G., & Wright, G. (2001). Expert opinions in forecasting: the role of the Delphi technique. In Principles of forecasting (pp. 125-144). Springer, Boston, MA.
63.Hägg, M., Houston, B., Elmståhl, S., Ekström, H., & Wann‐Hansson, C. (2014). Sleep quality, use of hypnotics and sleeping habits in different age‐groups among older people. Scandinavian journal of caring sciences, 28(4), 842-851.
64.Tarakci, H., Kulkarni, S., & Ozdemir, Z. D. (2018). The impact of wearable devices and performance payments on health outcomes. International Journal of Production Economics, 200, 291-301.
65.Scott, H., Lack, L., & Lovato, N. (2020). A systematic review of the accuracy of sleep wearable devices for estimating sleep onset. Sleep Medicine Reviews, 49, 101227.
66.Chesbrough, H. (2010). Business model innovation: opportunities and barriers. Long range planning, 43(2-3), 354-363.
67.Higgins, J. P. (2016). Smartphone applications for patients' health and fitness. The American journal of medicine, 129(1), 11-19.
68.Huhtala, T., Pikkarainen, M., & Saraniemi, S. (2015). Transformation of the business model in an occupational health care company embedded in an emerging personal data ecosystem: a case study in Finland. International Journal of Economics and Management Engineering, 9(10).
69.Belton, I., MacDonald, A., Wright, G., & Hamlin, I. (2019). Improving the practical application of the Delphi method in group-based judgment: A six-step prescription for a well-founded and defensible process. Technological Forecasting and Social Change, 147, 72-82.
70.Moore, J. F. (1993). Predators and prey: a new ecology of competition. Harvard business review, 71(3), 75-86.
71.Exelmans, L., & Van den Bulck, J. (2017). Binge viewing, sleep, and the role of pre-sleep arousal. Journal of Clinical Sleep Medicine, 13(8), 1001-1008.
72.Ramezani, J., & Camarinha-Matos, L. M. (2020). Approaches for resilience and antifragility in collaborative business ecosystems. Technological Forecasting and Social Change, 151, 119846.
73.Kapur, V. K., Auckley, D. H., Chowdhuri, S., Kuhlmann, D. C., Mehra, R., Ramar, K., & Harrod, C. G. (2017). Clinical practice guideline for diagnostic testing for adult obstructive sleep apnea: an American Academy of Sleep Medicine clinical practice guideline. Journal of Clinical Sleep Medicine, 13(3), 479-504.
74.Baron, K. G., Duffecy, J., Berendsen, M. A., Mason, I. C., Lattie, E. G., & Manalo, N. C. (2018). Feeling validated yet? A scoping review of the use of consumer-targeted wearable and mobile technology to measure and improve sleep. Sleep medicine reviews, 40, 151-159.
75.Tarakci, H., Kulkarni, S., & Ozdemir, Z. D. (2018). The impact of wearable devices and performance payments on health outcomes. International Journal of Production Economics, 200, 291-301.
76.Bove, L. A. (2019). Increasing Patient Engagement Through the Use of Wearable Technology. The Journal for Nurse Practitioners, 15(8), 535-539.
77.Dubosson‐Torbay, M., Osterwalder, A., & Pigneur, Y. (2002). E‐business model design, classification, and measurements. Thunderbird International Business Review, 44(1), 5-23.
78.Marek, K. W. (2016). The National Heart, Lung, and Blood Institute Small Business Program: a comprehensive ecosystem for biomedical product development. JACC: Basic to Translational Science, 1(7), 660-665.
79.Bianchi, M. T. (2018). Sleep devices: wearables and nearables, informational and interventional, consumer and clinical. Metabolism, 84, 99-108.
80.Mayo, M. C., & Brown, G. S. (1999). Building a competitive business model. Ivey Business Journal, 63(3), 18-23.
81.Petrov, M. E., Hasanaj, K., Hoffmann, C. M., Epstein, D. R., Krahn, L., Park, J. G., ... & Morgenthaler, T. I. (2020). Rationale, design, and development of SleepWell24: A smartphone application to promote adherence to positive airway pressure therapy among patients with obstructive sleep apnea. Contemporary Clinical Trials, 89, 105908.
82.Morris, M., Schindehutte, M., & Allen, J. (2005). The entrepreneur's business model: toward a unified perspective. Journal of business research, 58(6), 726-735.
83.Dehghani, M., Abubakar, A. M., & Pashna, M. (2020). Market-driven management of start-ups: The case of wearable technology. Applied Computing and Informatics.
84.Lee, M., & Yoon, K. (2018). Ecosystem of the medical device industry in South Korea: A Network Analysis Approach. Health Policy and Technology, 7(4), 397-408.
85.Jiang, N., Mück, J. E., & Yetisen, A. K. (2020). The Regulation of Wearable Medical Devices. Trends in biotechnology, 38(2), 129-133.
86.Lane, N. D., Lin, M., Mohammod, M., Yang, X., Lu, H., Cardone, G., ... & Choudhury, T. (2014). Bewell: Sensing sleep, physical activities and social interactions to promote wellbeing. Mobile Networks and Applications, 19(3), 345-359.
87.Huba, N., & Zhang, Y. (2012). Designing patient-centered personal health records (PHRs): health care professionals’ perspective on patient-generated data. Journal of medical systems, 36(6), 3893-3905.
88.Timmers, P. (1998). Business models for electronic markets. Electronic markets, 8(2), 3-8.
89.Boulkedid, R., Abdoul, H., Loustau, M., Sibony, O., & Alberti, C. (2011). Using and reporting the Delphi method for selecting healthcare quality indicators: a systematic review. PloS one, 6(6), e20476.
90.Thomas, R. J., & Bianchi, M. T. (2013). Changing the direction of sleep medicine: business can boom, but it is not as usual. Journal of Clinical Sleep Medicine, 9(9), 977-979.
91.Rosenberg, R., Hirshkowitz, M., Rapoport, D. M., & Kryger, M. (2019). The role of home sleep testing for evaluation of patients with excessive daytime sleepiness: focus on obstructive sleep apnea and narcolepsy. Sleep Medicine, 56, 80-89.
92.Kang, S. G., Kang, J. M., Ko, K. P., Park, S. C., Mariani, S., & Weng, J. (2017). Validity of a commercial wearable sleep tracker in adult insomnia disorder patients and good sleepers. Journal of psychosomatic research, 97, 38-44.
93.Shilkrot, R., Huber, J., Steimle, J., Nanayakkara, S., & Maes, P. (2015). Digital digits: A comprehensive survey of finger augmentation devices. ACM Computing Surveys (CSUR), 48(2), 1-29.
94.Son, H. J., Lee, S. W., & Cho, M. H. (2014). Influential Factors of College Students' Intention to Use Wearable Device-An Application of the UTAUT2 Model. Korean journal of communication and information, 68, 7-33.
95.Stewart, D. W., & Zhao, Q. (2000). Internet marketing, business models, and public policy. Journal of public policy & marketing, 19(2), 287-296.
96.Quan, S. F., & Epstein, L. J. (2013). A warning shot across the bow: The changing face of sleep medicine. Journal of Clinical Sleep Medicine, 9(12), 301-302.
97.Swan, M. (2012). Crowdsourced health research studies: an important emerging complement to clinical trials in the public health research ecosystem. Journal of medical Internet research, 14(2), e46.
98.Murray, T. J., Pipino, L. L., & van Gigch, J. P. (1985). A pilot study of fuzzy set modification of Delphi. Human Systems Management, 5(1), 76-80.
99.Thomas, R. J., & Bianchi, M. T. (2013). Changing the direction of sleep medicine: business can boom, but it is not as usual. Journal of Clinical Sleep Medicine, 9(9), 977-979.
100.Zhang, X., Kou, W., Eric, I., Chang, C., Gao, H., Fan, Y., & Xu, Y. (2018). Sleep stage classification based on multi-level feature learning and recurrent neural networks via wearable device. Computers in biology and medicine, 103, 71-81.
101.Hsu, Y. L., Lee, C. H., & Kreng, V. B. (2010). The application of Fuzzy Delphi Method and Fuzzy AHP in lubricant regenerative technology selection. Expert Systems with Applications, 37(1), 419-425..
102.Zhang Ran, Zhang Qin, Zhu Jiannan, Sun Qingqing, Wang Zan (2016), Sleep Center Management in Germany, World Journal of Sleep Medicine, 3(4)