摘要
从大数据出现伊始,社会各界集中重点关注其所蕴藏着的巨大的经济、社会和科研价值,相继成为当前各行业研究中的热点,并取得了丰硕的理论与实践成果。就艺术学理论学科建设而言,大数据生态的构建已逐步趋于成熟,但其与艺术管理相结合的系统化研究,目前还相对缺乏。文章主要探讨当前在大数据生态视域下艺术管理学科创新研究的价值、阐述艺术管理的发展现状,梳理大数据与艺术学、管理学交叉创新的研究成果,进而提出大数据生态视域下艺术管理创新研究的若干方向。大数据生态视域下艺术管理应用研究的价值主要表现在,一是大数据助力艺术策划,使艺术管理活动决策更加科学严谨;二是大数据推动艺术生产向"按需定制"发展的同时也要注重艺术创作的引领作用,达到迎合与引领的平衡;三是大数据使艺术投资更加客观理性化,降低了投资风险;四是大数据使艺术传播更具有针对性,促进艺术市场向"精准营销"方向发展。通过将其运用于国家和政府、文化艺术事业性单位、文化艺术企业这三个层面的艺术管理主体之中,从而构建了大数据生态视域下艺术管理创新的内在机制框架。
Since the beginning of big data’s appearance,all sectors of society have focused on its enormous economic,social and scientific research value,which are hidden behind the surface. It has become a hot spot for research of all current industries which has achieved abundant theoretical and practical results. In terms of theoretical subject of art,the construction of big data ecology is becoming more and more mature,but the systematic research on combining it with art management is relatively lacking at present. This paper mainly describes the contemporaiy value of research on innovation of art management subject from the perspective of big data ecology,expounds thedevelopment status of art management,goes over the research results of cross-innovation of big data,art and management,and then puts forward some research directions on innovation of art management from the perspective of big data ecology: art management from the perspective of big data ecology. The value of Applied Research are listed as follows:firstly,big data helps art planning making decision-making of art management more scientific and rigorous;secondly,the big data promote the art production to the development of the " Custom on demand",and also pay attention to the leading role of the artistic creation,thirdly,big data makes art investment more objective rationality that can decrease the risk of investing. Fourthly,big data make art communication more targeted,promote the development of art market towards " precision marketing",and apply it to three levels of art management subjects includinsstate and government,cultural and artistic institutions,cultural and artistic enterprises to construct big data constructing the intrinsic mechanism of art management innovation from the ecological perspective.
作者
管顺丰
王孟孟
GUAN Shun-feng;WANG Meng-meng(College of Art and Design,Wuhan University of Technology,Wuhan,Hubei 430070)
出处
《艺术百家》
CSSCI
北大核心
2020年第2期30-36,46,共8页
Hundred Schools In Arts
关键词
大数据生态
艺术管理
创新研究方向
应用价值
内在机制
Big Data Ecology
Art Management
Innovation Research Direction
Application Value
Intrinsic Mechanism
