| 基于信息生态理论的大数据治理建模及西部区域治理路径设计 |
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| 引用本文： | 徐晓锋,王娟娟.基于信息生态理论的大数据治理建模及西部区域治理路径设计[J].现代情报,2019,39(5):131-142. |
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| 作者姓名： | 徐晓锋 王娟娟 |
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| 作者单位： | 兰州大学管理学院, 甘肃 兰州 730000 |
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| 基金项目： | 国家社会科学基金项目"信息承载力视角下西北五省区区域信息治理与信息援助的模式与路径研究"（项目编号：17BTQ053）；甘肃省软科学专项"甘肃省区域突发事件的信息预警与信息治理"（项目编号：1504ZKCA090-1）；中央高校基本科研经费专项资金"西北地区信息治理与信息援助的模式与路径研究"（项目编号：18LZUJBWZY001）。 |
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| 摘 要： | 目的/意义]目前尚无区域信息压力的研究,西部区域大数据服务缺乏适应型的信息服务架构与模型设计,而作为大数据治理实施主体的当地政府,不发达地区治理路径选择与定量模型应用成为情报政策领域亟待解决的问题。方法/过程]应用区域信息生态承载递阶结构理论,加入系统仿真模拟与动力学建模,针对治理区域所在社会环境、自然环境等系统内外部耦合作用效果及因子分析,分析并构建了区域大数据治理的作用模型。结果/结论]首次构建了我国区域大数据治理的爬坡模型及定量评价;构成爬坡模型的3个大数据治理约束因子中,区域信息社会基础环境质地属于很难改变的自然弹性力,而信息社会发展需求因子为系统只能适应与接受的社会经济驱动力,唯有信息治理路径选择因子属于仅有的可调控、选择的制度力或政策力;区域信息治理的核心取决于该区域驱动力与支撑力的发展是否适应其阻滞力与压力水平,区域大数据中心作为关键的科学与扶贫治理的信息使能器,成为大数据治理基本的信息生态环境容纳与治理路径选择。
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| 关 键 词： | 大数据治理 爬坡模型 信息服务 信息承载力 |
Dynamic Model Construction and Systematic Analysis Based on Regional Big Data Governance |
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| Authors: | Xu Xiaofeng Wang Juanjuan |
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| Institution: | School of Management, Lanzhou University, Lanzhou 730000, China |
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| Abstract: | Purpose/Significance]The dynamic factors from internal and external rule big data governance in information ecosystem, coupled with nature environment, the selection of governance path and quantitative model in underdeveloped areas is an urgent problem to be solved in big data field.Method/Process]For the first time, based on the construction of big data simulation analysis, hierarchical structure pattern and Climbing slope quantitative model, we illustrated the interaction of exogenic and endogenic dynamic factors from information carrying capacity, and constructed the mechanism of regional big data governance.Result/Conclusion]Support and driving capacity factors promoted sustainable development by information governance, although ubiquitous information pressure overwhelmed information literacy by exponential growth in western china.The success of big data governance did not rest upon the amount of data scale and cyberinfrastructure construction, but depended on the standard of regional driving capacity, matching regional blocking force and information pressure.Among three constraint factors composing of information governance, regional nature property and social resource exhibiting to be immobilization and hard to change as native attribute;marching socioeconomic force reside as the demanding factor of information society only to adapt and accept;Instead, route choice factor of Information governance, as unique countermeasure, possessed tunable and optional capacity, pertain mechanism instituting or policy making ability, and adjusted slope and beveled scale, in control of blocking force to information governance proceeding.As the alternative route factor and scientific enabler by big data governance, western big data center must run for regional initiative governance, collecting and constructing scientific catalogue, to the target of the integration strategy of the nature environment protection and social economic development, and expand information carrying capacity and path for big data governance. |
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| Keywords: | big data governance climbing slope quantitative model information service information carrying capacity |
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