臺灣博碩士論文加值系統

創新的商業模式改變既有產業結構模式，特別是競爭及快速變化的市場中，企業在整個產業鏈中的定位與角色得適時的調整與更換。站在頂端的企業，未必就表示擁有不敗地位，盛極而衰的企業的例子比比皆是。因此，我們發現企業發展的策略競爭優勢包括：發掘自身的優勢還要與科技結合並且懂得彈性運用資源、組織備有學習能力和創新變革之精神。

基於上述，本研究係以Amazon由智慧語音助理產品切入的個案為研究對象，從中探討產業發展概況及其商業模式。在超競爭的環境中，產品生命週期被擠縮，產業快速在輪轉汰換，產業疆界日趨模糊，企業與企業間的跨界合作成為一趨勢。企業不能以企業自身角度衡量消費者所需或是被動的提供產品或服務；而是了解市場現象，充分運用資源，進而推出可以喚起消費者需求且帶來更多使用上便利性，也才能為企業帶出獲利模式。

The innovation business model has changed the industrial structure and its pattern, especially in competitive and rapidly changing markets. The role of jobs and positions in enterprise in the whole industry chain should be adjusted and replaced timely. Standing on the top of the enterprise, does not mean stand on the spot of the undefeated position, flourishing business examples are now visible everywhere. Hence, we have found that the enterprise competitive advantage has included: exploring their own advantages, combing with technology and understanding the flexibility to use resources and organizations with learning ability, and the spirit of innovation and conversion.

Based on the above, this study was conducted on Amazon’s case of intelligent voice assistant products, and explores the industrial development and business model. In a highly competitive business environment, the product life cycle has been squeezed, the business industry is in the era of rapid conversion, the boundaries are blurring, and business cooperation is needed. Meanwhile, companies can not base their point of view solely on consumer needs of products and services. They need to understand market phenomenon, the full use of resources, and then work to arouse consumer demand and convenience, helping the enterprise build a good profit model.

中文摘要 I
英文摘要 II
誌謝 III
目錄 IV
表目錄 VI
圖目錄 VII
第一章 緒論 1
1.1 研究背景 1
1.2 研究動機與目的 2
1.3 研究方法 4
第二章 文獻探討 5
2.1 破壞性創新理論 5
2.2 商業模式 8
2.2.1 商業模式的定義 8
2.2.2 商業模式涵蓋要素 10
2.3 跨疆界破壞式創新理論 13
2.4 超優勢競爭與最低限致勝賽局結構 14
第三章 產業市場概況 17
3.1 人工智慧定義 17
3.2 人工智慧領域市場發展趨勢 19
3.3 科技大廠業者發展近況 20
3.3.1 Google與Google Assistant 20
3.3.2 Microsoft與Cortana 21
3.3.3 Apple與Siri 22
3.3.4 其它科技大廠在人工智慧上的發展 24
3.4 科技大廠在智慧語音助理與裝置上的發展 25
第四章 個案商業模式探討 28
4.1 Amazon公司簡介 28
4.1.1 Amazon Echo的誕生 28
4.1.2 Amazon拓展智能語音市場 29
4.2 Echo以破壞式創新開創新市場 35
4.3 跨界破壞商業模式的誕生 38
4.3.1客戶價值主張 39
4.3.2 Alexa關鍵技術 42
4.3.3 Amazon關鍵流程 42
4.3.4 Alexa的贏利模式 43
4.4 組織變革與跨界創新之優勢 46
第五章 結論與未來建議 48
5.1 研究結論 48
5.2 研究建議 49
5.3 研究限制 49
參考文獻 51

1) Amit, R., & Zott, C. (2000). Value drivers of e-commerce business models: INSEAD Fontainebleau.
2) Burgelman, R. A., & Grove, A. S. (2007). Cross-boundary disruptors: powerful inter-industry entrepreneurial change agents.
3) Burgelman, R. A., & Siegel, R. E. (2007). Defining the minimum winning game in high-technology ventures. California Management Review, 49(3), 6-26.
4) Christensen, C. M. (1997). The Innovator’s Dilemma When New Technologies Cause Great Firms to Fail. Havard Business School Press.
5) Christensen, C. M., & Raynor, M. E. (2004). The Innovator’s Solution Creating and sustaining successful growth. [創新者的解答 (天下雜誌)]. Harvard business School Press.
6) Christensen, C. M. R., Michael E. ; McDonald, Rory. (2015). What Is Disruptive Innovation? Harvard business review, pp.44–53.
7) Clark, T., Osterwalder, A., & Pigneur, Y. (2012). Business model you: a one-page method for reinventing your career: John Wiley & Sons.
8) D'aveni, R. A. (2010). Hypercompetition: Simon and Schuster.
9) D'Aveni, R. A., Gunther, R. E., & Cole, J. (2001). Strategic supremacy: How industry leaders create growth, wealth, and power through spheres of influence: Simon and Schuster.
10) Danneels, E. (2004). Disruptive technology reconsidered: A critique and research agenda. Journal of product innovation management, 21(4), 246-258.
11) Govindarajan, V., & Kopalle, P. K. (2004). How legacy firms can introduce radical and disruptive innovations: Theoretical and empirical analyses. Paper presented at the Academy of Management proceedings.
12) Hammer, M. (2004). Deep Change: How Operational Innovation Can Transform Your Company. Harvard business review, 82(9), 133.
13) Helfat, C. E. (1997). Know-how and asset complementarity and dynamic capability accumulation: The case of R&D. Strategic management journal, 339-360.
14) Johnson, M. W., Christensen, C. M., & Kagermann, H. (2008). Reinventing your business model. Harvard business review, 86(12), 57-68.
15) Kisielius, J., & Sternthal, B. (1986). Examining the vividness controversy: An availabilityvalence interpretation. Journal of Consumer Research, 12, 418–431.
16) Lumpkin, G. T., & Dess, G. G. (2004). E-Business Strategies and Internet Business Models:: How the Internet Adds Value. Organizational Dynamics, 33(2), 161-173.
17) Magretta, J. (2002). Why business models matter.
18) Magretta, J. (2011). Understanding Michael Porter: The Essential Guide to Competition and Strategy, Boston: Harvard Business Review Press.
19) O'Mahony, S. & Bechky, B. A. (2008). Boundary organizations: Enabling collaboration among unexpected allies. Administrative Science Quarterly 53.3: 422-459.
20) Osterwalder, A., & Pigneur, Y. (2010). Business model generation: a handbook for visionaries, game changers, and challengers: John Wiley & Sons.
21) Schmidt, G. M., & Druehl, C. T. (2008). When is a disruptive innovation disruptive? Journal of product innovation management, 25(4), 347-369.
22) Timmers, P. (1998). Business models for electronic markets. Electronic markets, 8(2), 3-8.

參考資料
1) 人工智慧並不遙遠 未來十年大爆發http://www.digitimes.com.tw/tw/iac/shwnws.asp?cnlid=19&cat=10&cat1=10&id=0000477180_ITT02UC295CUSNL5T0PU7
2) Gartner：生物辨識將成為與越來越多裝置互動的方式http://technews.tw/2016/03/09/gartner-biological-recognition-device-will-become-the-main-portal/
3) 第三平臺崛起，商用認知運算成形http://www.ithome.com.tw/tech/100765
4) 人工智慧的目的究竟是什麼：模仿人類，讓人類永生？https://www.bnext.com.tw/ext_rss/view/id/671994
5) 微軟：人工智慧競爭 進入思想解放期https://udndata.com/ndapp/udntag/finance/Article?origid=2250296
6) 不是未來，就是現在！人工智慧走入商用領域https://www.bnext.com.tw/article/38812/BN-2016-03-02-142445-196
7) 2016年人類十大突破性技術與創新http://www.npf.org.tw/2/16039
8) 人工智慧帶動語音辨識產值成長https://udndata.com/ndapp/udntag/finance/Article?origid=2240324
9) 智慧型語音辨識http://www.intumit.com/WIVO.html
10) 雲端運算定義與範疇https://www.cloudopenlab.org.tw/ccipo_industryDefinition.do
11) 從賈伯斯的一席話認識雲端運算https://www.inside.com.tw/2014/07/15/cloud_computing_1
12) 【拓墣觀點】語音助理背後的 AI 技術之爭，Amazon否能技壓三大科技巨擘？http://technews.tw/2017/02/11/can-amazon-ai-technique-beat-google-apple-microsoft/
13) 下一個運算平台是「語音」？市調報告：2017年語音裝置出貨量將達2,400萬台 https://www.bnext.com.tw/article/42944/24-5m-voice-first-devices-expected-to-ship-in-2017
14) Google人工智慧產品大爆發的幕後秘辛https://www.bnext.com.tw/article/41535/secrets-of-google%27s-ai-products
15) Google Fellow Talks Neural Nets, Deep Learning http://www.eetimes.com/document.asp?doc_id=1330004
16) 亞馬遜CEO貝索斯：Alexa並非單一功能虛擬助手https://read01.com/D47K05.html
17) 智慧語音家電興起，網路女皇 Mary Meeker 看好 Amazon Echo 發展http://technews.tw/2016/06/02/mary-meeker-thinks-apple-is-the-past-amazon-is-the-future/
18) Amazon Echo 兩周年：也許它才是智能家庭生活的未來https://kknews.cc/zh-tw/tech/6k8yx5m.html
19) Amazon Echo憑什麼成為最火紅的IoT裝置？https://www.bnext.com.tw/article/40024/bn-2016-06-24-180752-178
20) 語音識別https://zh.wikipedia.org/wiki/%E8%AF%AD%E9%9F%B3%E8%AF%86%E5%88%AB
21) Amazon 把 Alexa 帶到 iOS App 上，Siri 地位可能不保？http://technews.tw/2017/03/20/amazon-puts-alexa-inside-its-main-iphone-app/
22) 一場艱難的產品革命，Echo 讓亞馬遜成功踏入智慧家庭樞紐中心https://buzzorange.com/techorange/2016/04/13/how-amazon-echo-successed/
23) 狠砍半價！Amazon 推 Echo Dot 四個月賣光！https://www.bnext.com.tw/px/article/40412/BN-2016-07-31-214839-187
24) 亞馬遜Alexa為什麼能宰制市場？http://www.cw.com.tw/article/article.action?id=5080365
25) Alexa不設限，亞馬遜展現新連網平台野心https://www.bnext.com.tw/article/43849/amazon-ambition-alexa
26) 懶人時代來臨 - Amazon Echo 智慧家庭小精靈 動口不動手http://www.hobbesstore.com/zh_TW/news_default/id/392
27) 亞馬遜 20 年：哈佛商業評論認為貝佐斯是最有遠見的 CEO https://www.inside.com.tw/2016/06/27/amazon-20-years-bezos-new-philosophy
28) Amazon創辦人貝佐斯的成功祕訣
https://bookzone.cwgv.com.tw/topic/details/5131