淡江大學機構典藏:Item 987654321/94227
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    Title: 文化創意產業價值創新與網絡應用之研究 : 以舞蹈生態系創意團隊為例
    Other Titles: Value innovation and network application in cultural and creative industries : a case study of dancecology
    Authors: 陳韻文;Chen, Yun-Wen
    Contributors: 淡江大學公共行政學系公共政策碩士班
    韓 釗
    Keywords: 文化創意產業;知識創新;網絡;鏈結;Cultural and Creative Industry;Knowledge innovation;Network;Tie
    Date: 2013
    Issue Date: 2014-01-23 14:12:05 (UTC+8)
    Abstract: 知識經濟的時代中,知識創新在維持組織生存與競爭力上扮演著舉足輕重的角色。在知識經濟的背景下,文化創意產業必須專注於知識創新的發展以維持產業優勢。基於知識創新是一種社會連結與互動過程的假設,近年來許多研究對於網絡運作與知識創新之間的關聯性投入了相當多的關注。因此,本研究以舞蹈生態系創意團隊的知識創新過程為個案,探討舞蹈生態系行動者之間的互動關係,並分析不同網絡型態對知識創新的影響,進而獲得以下四項主要研究發現:
      第一,為了創造出足以影響環境的新知識,知識創新的過程必須同時著重於供給面與需求面的創新。此外,在創新知識形成的過程中,無論在供給面或需求面的創新上,網絡的運作都具有關鍵性的作用。
      第二,資源多項、多樣、異質性與部分重疊性皆為舞蹈生態系網絡運作的資源特性,且此四項特性皆為影響知識創新結果的重要因素。
      第三,在創新的過程中,網絡行動者之間的互動狀態,以及網絡結構,會隨著不同階段的創新發展需求而產生變化。
      第四,各階段所形成的網絡型態,其網絡運作的特性也有所不同,並在知識創新的過程中呈現出不同的功能性,以利知識創新的進行。
    In the knowledge economy, knowledge innovation plays an essential role in sustaining organizational viability and competitiveness. Being closely related to the rise of knowledge economy, the cultural and creative industry has to pay more attention to knowledge innovation to maintain its competitive advantage. Based on the assumption that knowledge innovation is the process of social connections and interactions, recent research has put greater weight on the interrelationships of network operation and knowledge innovation in recent years. In a similar vein, this research conducts a case study of the knowledge innovation process of Dancecology. By examining the interactions among the actors of Dancecology, the effects of different types of networks on knowledge innovation are analyzed. Four research findings are summarized below:
      First, in order to create new knowledge to affect the environment, knowledge innovation has to include both demand-side and supply-side considerations. Moreover, networks are found to be critical in the process of generating creative ideas regarding both demand-side and supply-side knowledge innovation.
      Second, the size, diversity, heterogeneity, and partial overlap of network actors are the four features of network resource in Dancecology’s networks. The features of network resource tend to produce significant effects on the outcomes of knowledge innovation.
      Third, the status of interactions and network structures were found to be changing overtime in correspondence with the requirements of different stages in the innovation process.
      Fourth, different types of networks tend to have different natures all of which are found to have performed indispensable functions for making knowledge innovation successful and effective.
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