企业信息资源管理与大数据的融合与变革

发布时间：2019-05-27 18:59

【摘要】：【目的/意义】企业信息资源管理和大数据在发展中都面临困境,一方面传统信息资源管理虽有成熟的理论却未能真正发挥作用,另一方面大数据的作用被重视却缺少大数据管理的方法论。【方法/过程】为了解决上述两难困境,将大数据视作信息资源的新形式,借用传统信息资源管理的理论和方法对大数据进行管理,使企业信息资源管理与大数据融合。【结果/结论】由于大数据的新特征、新范式、新价值,信息资源管理理论和方法需要相应的变革,树立适应大数据时代的新型理念,以数据驱动决策和管理应用为目标,在信息生产、采集、组织、检索、分析等环节融入大数据思想,同时对技术手段、经济手段、法律手段等做出相应的改变。
[Abstract]:[purpose / significance] both enterprise information resources management and big data are facing difficulties in the development. On the one hand, although the traditional information resources management has mature theories, it has not really played a role. On the other hand, big data's role has been paid attention to but lacks big data's management methodology. [method / process] in order to solve the above dilemma, big data is regarded as a new form of information resources. Big data is managed by using the theory and method of traditional information resource management, so that the enterprise information resource management can be integrated with big data. [results / conclusion] due to the new characteristics, new paradigm and new value of big data, The theory and method of information resource management need corresponding changes, set up a new concept to adapt to big data's era, take data-driven decision-making and management application as the goal, and in information production, collection, organization and retrieval. Analysis and other links into big data's thought, at the same time to the technical means, economic means, legal means and so on to make corresponding changes.
【作者单位】：西安交通大学管理学院;西安理工大学经济与管理学院;
【基金】：教育部人文社会科学研究青年基金项目(11YJC630040);教育部人文社会科学研究规划基金项目(13YJAZH123)
【分类号】：F270.7;G203

【相似文献】