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竞争情报服务区域科技创新的障碍因素探析
引用本文:余建兵,陈长在,龚花萍.竞争情报服务区域科技创新的障碍因素探析[J].科技管理研究,2020,40(14):269-274.
作者姓名:余建兵  陈长在  龚花萍
作者单位:陕西铁路工程职业技术学院,陕西渭南714000;南昌大学管理学院,江西南昌 330031
基金项目:陕西铁路工程职业技术学院研究生专项项目“面向区域科技创新的竞争情报服务模式研究”(KY2019-74)
摘    要:对竞争情报服务区域科技创新的影响探究,旨在为区域科技创新发展提供高质、高效的竞争情报服务。基于前人的研究以及服务能力的影响特点,构建包括信息资源、服务战略、情报服务、服务技术、服务环境等五大影响因素的因素集,通过发放调查问卷及面对面调研问卷,在有效问卷的基础之上利用SPSS20.0软件进行因子分析和统计分析。研究发现竞争情报服务区域科技创新存在较为严重的障碍,影响程度最为突出的是数据采集能力、数据处理能力、人才资源等因素。为此,提出以下两点建议:(1)提高信息技术应用水平,为竞争情报服务提供技术支持,加强对计算机技术和人工智能等高端人才的培养;(2)加大基础资源的投入,为竞争情报服务提供良好平台和服务环境,为竞争情报联动供给服务模式的建设奠定基础。

关 键 词:区域科技创新  竞争情报服务  障碍性影响因素
收稿时间:2019/9/23 0:00:00
修稿时间:2020/7/6 0:00:00

Analysis on the Barriers of Scientific and Technological Innovation in Competitive Intelligence Service Areas
Abstract:Purpose/meaning] The influencing factors of technological innovation in competitive intelligence service are aimed at providing high quality and efficient competitive intelligence services for regional science and technology innovation and development. Methods/Processes] Based on the predecessors" research and the impact characteristics of service capabilities, five major influencing factors, such as information resources, service strategy, information service, service technology and service environment, were introduced. The questionnaires and face-to-face questionnaires were distributed on the basis of effective questionnaires. Based on SPSS20.0 software, factor analysis and statistical analysis were performed. Results/Conclusions] Through factor analysis and statistical analysis, it is found that there are serious obstacles in the technological innovation of competitive intelligence service regions. The most prominent impacts are data collection capabilities, data processing capabilities, and human resources. To this end, this paper proposes the following two suggestions: (1) to improve the development of information technology, provide technical support for competitive intelligence services, and vigorously develop the cultivation of high-end talents such as computer technology and artificial intelligence. (2) Increase investment in basic resources, provide a platform and service environment for competitive intelligence services, and lay the foundation for the construction of competitive intelligence linkage supply service model.
Keywords:Regional science and technology innovation  competitive intelligence services  barriers to influencing factors
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