透過比較台灣以及法國之大數據對於新創企業的影響進行分析，進而探討 雙邊大數據如何影響新創企業活動為本篇論文的重點研究主軸。在科技發展極 為發達的時代，數據量急劇地增長，數據分析亦越趨成熟，文內整理出時下大 數據在企業中的實際應用狀況，尤其針對其運用於企業活動的效能作為主要探 討，並且分析企業主目前使用大數據的困境;新創企業方面，本文就企業主態 度、企業主精神、企業行為三方面探討，並比較分析台灣以及法國的大數據使 用經驗對於新創企業環境之影響，進而了解兩國的新創企業的競爭優勢。

Startup business is increasing and shocking the existing market. Taiwanese and
French entrepreneurs have above-average level of attitude and aspiration toward startup business. Data analytics, big data, is considered as a useful tool which is able to improve business performance, i.e. BlaBlaCar. Therefore, this thesis is going to describe the current condition and challenge of implementing big data on startup business. Besides, with purpose of discovering competitive advantage this thesis is going to analyze comparison advantage between Taiwan and France.

目錄
謝辭.................................................................... I 
中文摘要............................................................. II 
英文摘要............................................................. III 
目錄.................................................................... IV 
圖表目錄............................................................. V
Chapter 1: Introduction...................................... 1 
Chapter 2: Related literature.............................. 7 
Chapter 3: Startup business.............................. 13 
Chapter 4: Method and results.......................... 22 
Chapter 5: Conclusion....................................... 35 Reference.......................................................... 38 

圖表目錄
Figure 1: The structure of this thesis ..................................................................... 6 
Figure 2: Potential payback of big data initiative ................................................. 33
Figure 3: Startup business ecosystem: Taiwan and France.................................. 34
Table 1: What business goals or objectives are driving investments for data-
driven initiatives at your organization? ................................................................ 24 
Table 2: What is your organization aiming to solve with data driven initiatives? .. 24
Table 3: Do you feel threatened by security concern? ......................................... 25 
Table 4: The biggest challenges firms face when implementing their big data
strategies ............................................................................................................. 26 
Table 5: Big data adoption ................................................................................... 27 
Table 6: Startup ecosystem performance ............................................................ 28

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