基于BP神经网络的政府机关信息系统建设成本分析

发布时间：2018-03-14 23:15

本文选题：信息系统　切入点：建设成本　出处：《甘肃社会科学》2017年06期 　论文类型：期刊论文

【摘要】：信息系统建设的不断深入发展为我国政府机关带来了高效便捷的办公环境,能有效地提高行政效率,遏制腐败现象的滋生,但同时信息系统建设也需要高成本的投入。对陕西省政府6个机关单位进行问卷调查,利用BP神经网络模型对政府机关信息系统建设成本进行分析,以考察该系统在准备阶段对实施阶段、实施阶段对维护阶段系统内部各成本间的影响作用,实现了可直接量化成本、不可直接量化成本的统筹分析。研究结果表明,硬件和软件成本对信息系统建设前期成本影响较大,而人员和改革成本对信息系统建设后期成本影响较大。最后,根据分析结果提出成本控制方面的相关建议。
[Abstract]:The continuous development of information system construction has brought efficient and convenient office environment for our government organs, which can effectively improve administrative efficiency and curb the breeding of corruption. But at the same time, the construction of information system also needs high cost input. A questionnaire survey was conducted on six government departments in Shaanxi Province, and BP neural network model was used to analyze the cost of government information system construction. In order to investigate the influence of the system on the implementation stage and the maintenance stage, the system realizes the overall analysis of the direct quantifiable cost and the non-direct quantifiable cost. The cost of hardware and software has a great influence on the cost of information system construction, while the cost of personnel and reform has a great impact on the cost of information system construction. Finally, some suggestions on cost control are put forward according to the results of the analysis.
【作者单位】：西安交通大学马克思主义学院;
【基金】：陕西省社科基金项目“新常态视域下领导干部法治思维研究”(2015E009)成果之一中央高校基本科研业务费专项人文社科重大项目“政府职能转变视野下权力运行制约和监督体系建设研究”(SKZ2014002)成果之一
【分类号】：D63

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