團隊的結構和特徵對大數據分析能力的影響

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詹以如(I-Ju Jan) 查詢紙本館藏

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論文名稱

團隊的結構和特徵對大數據分析能力的影響
(The Impact of Team Structure and Characteristics on Big Data Analytical Capability)

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摘要(中)

大數據是當今討論話題的中心，所有行業的組織都在大量投資大數據行動。大數據分析已經成為學術界和業界的重要研究領域，因為它大大改變了訊息的產生和用於決策的方式。儘管如此，這種新興科技在技術方面過於關注，並且對其他相關組織元素的關注有限。過去以資源基礎論或資訊科技發展為觀點的研究表明，組織要重新整合各項資源，這些資源組合建立了大數據分析能力。然而，基於組織能力的運作必定由組織來進行，產生這個能力的前因，必定和組織本身有關。在組織中，大數據分析團隊會來執行這個任務。團隊的結構、團隊的特徵和組織的慣例會影響組織能力的使用。本研究利用Garner的四層級資料分析作為測量大數據分析的階段，以文獻分析法推導團隊結構和團隊特徵，在組織慣例的運作下，如何影響各階層的大數據分析能力。

摘要(英)

Big data is the most intensively discussed topics today, organizations in all industries are large investing in big data initiatives. Big data analytics has become an important area of research in academia and industry because it has dramatically changed the way information are generated and used in decision making. Nevertheless, this emerging technology takes too much attention to technological aspects and has limited focus on other relevant organizational elements. Previous studies based on resource-based theory or information technology development has shown that organizations need to re-integrate resources that combine to build big data analytics. However, the operation based on organizational capabilities must be carried out by the organization, and the antecedent of this ability must be related to the nature of the organization. In the organization, the big data analytics team will perform this task. The structure and characteristics of the team, and the organization routine will influence the use of organizational capabilities. This study (1) uses Garner′s four-level data analysis as a stage for measuring big data analysis, (2) identifies team structure, team characteristics and organization routine that in combination build a big data analytical capability.

關鍵字(中)

★ 大數據
★ 大數據分析能力
★ 團隊結構
★ 團對特徵
★ 組織慣例

關鍵字(英)

★ Big data
★ Big data analytical capability
★ team structure
★ team characteristics
★ organization routine

論文目次

中文摘要 i
英文摘要 ii
目錄 iii
圖目錄 v
表目錄 vi
一、緒論 1
1-1 研究背景 1
1-2 研究動機及問題 2
二、文獻回顧 4
2-1 核心文獻探討 4
2-1-1 25 Years of Team Effectiveness in Organizations: Research Themes and Emerging Needs (Salas, Stagl, & Burke, 2005) 4
2-1-2 Transferring, Translating, and Transforming: An Integrative Framework for Managing Knowledge Across Boundaries(Carlile, 2004) 5
2-1-3 Team-Level Predictors of Innovation at Work: A Comprehensive Meta-Analysis Spanning Three Decades of Research(Hülsheger, Anderson, & Salgado, 2009) 6
2-1-4 Translating Team Creativity to Innovation Implementation The Role of Team Composition and Climate for Innovation(Somech & Drach-Zahavy, 2013) 7
2-1-5 A dynamic perspective on diverse teams: Moving from the dual-process model to a dynamic coordination-based model of diverse team performance(Srikanth, Harvey, & Peterson, 2016) 7
2-1-6 Big Data : The Management Revolution(McAfee & Brynjolfsson, 2012) 8
2-1-7 Predicts 2013: Information Innovation(Bitterer, Sallam, & Kart, 2012) 8
2-2定義 12
2-2-1團隊結構Team Structure 12
2-2-2 成員多元性Diversity of team members 14
2-2-3 權力分佈Power distribution 14
2-2-4 創新氛圍Climate for innovation 15
2-2-5 收集資料 Collect Data 16
2-2-6 以數據為主的決策文化 Data-Driven decision making-culture 17
2-2-7 溝通 Communication 18
2-2-8 協調 Coordination 19
三、研究方法及架構 21
3-1文獻分析法 21
3-2研究架構 23
3-3研究命題 24
四、研究討論 25
五、結論與建議 30
5-1 結論 30
5-2 研究限制與未來建議 30
六、參考文獻 31

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指導教授

陳炫碩(Shiuann-Shuoh Chen)

審核日期

2018-7-9

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