信息服务业中小企业竞争力评价研究

发布时间：2018-02-02 07:09

本文关键词： 信息服务业中小企业竞争力评价 AHP BP神经网络　出处：《合肥工业大学》2013年硕士论文　论文类型：学位论文

【摘要】：随着全球信息产业专业化的不断推进，信息服务业取得了飞速发展，在社会经济发展中的作用日益凸显。中小企业是信息服务业的主要力量，有着巨大的发展潜力，在推动我国信息服务现代化的进程中起着重要作用。因此，实现对信息服务业中小企业竞争力的有效评价，发掘其竞争优势，进而提升企业整体管理水平，对实现信息服务业的飞速发展至关重要。本文在对相关文献进行综合分析的基础上，对信息服务业中小企业的概念加以界定。并结合企业竞争力发展的相关理论和信息服务业中小企业的重要影响因素，遵循科学的构建原则，，从外部影响力、企业规模、科技创新能力、企业经营能力、企业发展能力、内部管理能力六方面构建了信息服务业中小企业竞争力评价指标体系。本文在对现代企业竞争力评价方法进行比较分析的基础上，采用层次分析法（AHP）和BP神经网络相结合的评价方法。首先运用AHP对重要性指标进行筛选，使指标体系更加精炼。然后设计BP神经网络模型。并对模型进行实例分析，用筛选后的样本数据训练BP神经网络，再用测试样本验证网络的性能。仿真结果表明，该方法简化了系统决策难度，提高了评价效率，且具有较好的容错性。两种方法的结合可以优势互补，达到更好的评价效果。对信息服务业的中小企业竞争力进行评价研究，可以为企业的管理者提供行之有效的评价工具，为中小企业的战略提升和快速成长提供依据，为该领域评价理论的实践提供创新。本文的主要贡献在于构建了一套信息服务业中小企业评价指标体系，并采用综合评价——AHP和BP网络结合的方法进行合理有效的评价，旨在推动企业竞争力评价研究的发展和信息服务业中小企业的能力提升。
[Abstract]:With the continuous advancement of the specialization of the global information industry, the information service industry has made rapid development and played an increasingly important role in the social and economic development. Small and medium-sized enterprises (SMEs) are the main force of the information service industry and have great potential for development. It plays an important role in promoting the modernization of information service in our country. Therefore, to realize the effective evaluation of the competitiveness of small and medium-sized enterprises in the information service industry, to explore its competitive advantages, and then to improve the overall management level of the enterprises. It is very important to realize the rapid development of information service industry. Based on the comprehensive analysis of relevant literature, this paper defines the concept of small and medium-sized enterprises in information service industry, and combines the relevant theories of the development of enterprise competitiveness and the important influencing factors of small and medium-sized enterprises in information service industry. Following the principles of scientific construction, this paper constructs the evaluation index system of the competitiveness of small and medium-sized enterprises in information service industry from six aspects: external influence, enterprise scale, scientific and technological innovation ability, enterprise management ability, enterprise development ability and internal management ability. Based on the comparative analysis of modern enterprise competitiveness evaluation methods, this paper adopts the method of combining AHP and BP neural network. Firstly, AHP is used to screen the importance index. Then the BP neural network model is designed, and the model is analyzed by an example. The BP neural network is trained with the selected sample data, and the performance of the network is verified with the test samples. The simulation results show that, This method simplifies the difficulty of system decision, improves the efficiency of evaluation, and has better fault tolerance. The combination of the two methods can complement each other and achieve a better evaluation effect. The evaluation and research on the competitiveness of small and medium-sized enterprises in information service industry can provide an effective evaluation tool for the managers of enterprises, and provide the basis for the strategic promotion and rapid growth of small and medium-sized enterprises. The main contribution of this paper is to construct a set of evaluation index system for small and medium-sized enterprises in information service industry, and adopt the method of comprehensive evaluation, AHP and BP network to carry on reasonable and effective evaluation, the main contribution of this paper is to construct a set of evaluation index system for small and medium-sized enterprises in information service industry. The purpose of this paper is to promote the development of enterprise competitiveness evaluation and the ability of small and medium-sized enterprises in information service industry.
【学位授予单位】：合肥工业大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F276.3;F719

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