作　　者： (王兆国）;

机构地区： 武汉理工大学出版社,湖北武汉430070

出　　处： 《武汉理工大学学报（社会科学版）》 2017年第4期50-54,共5页

摘　　要： 学术出版是加快国家文化软实力建设、践行社会主义文化强国战略和推进中国文化走出去的重要出版领域,当前却因为受众群体小、出版周期长、经济效益不显著等原因暂时受到冷遇。大数据技术能够为学术出版的选题策划、内容生产、销售推广等环节提供数据支持,从而提高选题质量、生产效率、经济社会效益。对上述机理进行了探究,并分析了学术出版企业应用大数据技术的完善路径。 Academic publishing is important in speeding the construction of soft power of Chinese culture, carrying out cultural power strategy, and promoting Chinese culture output. However it is not so popular at present because of its little audiences, long production cycle and low economic benefit. The big data technology can provide data supporting to academic topic planning, publishing process optimizing and marketing, thus improve the planning quality, production efficiency and economic social benefits. This article analyzes the mechanism mentioned above, and the demand of publishing enterprise transformation on management mode and development tactics supported by big data technology.

关 键 词： 大数据技术 学术出版 挑战与机遇