龙力生物集团自主技术创新项目的风险管理研究

发布时间：2018-03-23 22:37

本文选题：龙力生物集团　切入点：自主技术创新　出处：《中国海洋大学》2015年硕士论文

【摘要】：我国技术创新发展较晚且进步缓慢,创新机制不甚完善,使得我国自主技术创新的成功率较发达国家相比有较大的差距。调查显示,制约我国自主技术创新成功的一大因素就是企业对技术创新项口风险管理的把控能力较弱。因而为提高我国自主技术创新水平,必须对技术创新过程中风险的识别、评价、处理有一定系统性认识,提高企业的风险管理水平。本文以山东龙力生物科技股份有限公司的自主技术创新项目——纤维废渣生产乙醇技术项目为研究对象,采用比较分析法、实证分析法进行研究。本文通过分析和梳理国内外有关自主技术创新项目风险管理的研究成果,系统介绍了自主技术创新项目的特点。根据自主技术创新项目的特点本文对纤维废渣生产乙醇技术项目的风险进行深入分析,论述了该自主技术创新项目所需要重点关注的风险,提出适用的风险评价指标体系,并提出人工神经网络与敏感性分析法相结合的风险评价模型,运用BP神经网络建立风险预警模型,给出风险处理方法。本文对纤维废渣生产乙醇技术项目的风险进行了全面识别和分析并提出应对措施,旨在形成一套具有针对性的,对自主创新项目行之有效的项目风险管理理论,提高龙力集团自主创新项目的风险管理水平,进而提高其创新成功率,避免资源的浪费。
[Abstract]:The development of technological innovation in our country is late and the progress is slow, and the innovation mechanism is not very perfect, which makes the success rate of independent technological innovation of our country bigger than that of the developed countries. One of the major factors restricting the success of independent technological innovation in China is the weak control ability of enterprises to manage the risks of technological innovation. Therefore, in order to improve the level of independent technological innovation in China, it is necessary to identify and evaluate the risks in the process of technological innovation. This paper takes the independent technological innovation project of Shandong Longli Biotechnology Co., Ltd-fiber waste residue to produce ethanol technology project as the research object, and adopts comparative analysis method. By analyzing and combing the domestic and foreign research results of independent technological innovation project risk management, The characteristics of the independent technology innovation project are introduced systematically. According to the characteristics of the independent technology innovation project, the risk of the technology project of producing ethanol from fiber waste residue is analyzed in depth. This paper discusses the risk that the independent technology innovation project needs to pay attention to, puts forward the applicable risk evaluation index system, and puts forward the risk evaluation model combining artificial neural network and sensitivity analysis method. The risk early warning model is established by BP neural network, and the risk treatment method is given. In this paper, the risk of ethanol production from fiber waste is comprehensively identified and analyzed, and the corresponding measures are put forward in order to form a set of pertinence. The effective theory of project risk management for independent innovation project can improve the risk management level of independent innovation project of Longli Group, and then improve its success rate of innovation and avoid the waste of resources.
【学位授予单位】：中国海洋大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F426.7;F273.1

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