社会网络、动态能力对物流企业创新绩效影响研究
发布时间：2018-09-15 19:45
【摘要】：物流市场需求多变、技术革新频繁、产业竞争加剧等因素导致物流企业处于充满不确定性的商业系统环境中,一个墨守成规的物流企业无法维持竞争优势,只有不断创新才能适应市场的需求。创新是物流企业维持持续竞争优势的关键,是一种提高服务质量且难以被模仿的能力。物流企业需要借助社会网络中的企业、政府、机构等各方组织获取资源,从而进行创新。在动态的网络环境下,物流企业面临着发展机遇以及很多新的挑战,要成为激烈竞争环境下的成功者,必须拥有敏捷的反应、快速的柔性创新和对资源的最优化利用。为了探寻物流企业社会网络、动态能力、创新绩效三者之间的影响机制,本文在前人的研究基础上将物流企业社会网络维度划分为：网络范围、网络中心度、网络关系密度,将物流企业动态能力维度划分为：动态环境感知能力、柔性战略决策能力、资源配置能力,通过SPSS 22.0和Amos 22.0等统计分析软件对三个变量之间构建SEM分析模型,针对浙江省物流企业的中高层管理人员进行访谈和调研,以获取一手数据并进行数据处理,得出结论：社会网络通过动态能力对物流企业创新绩效有显著正向影响。
[Abstract]:Because of the changeable demand of logistics market, frequent technological innovation and intensified industrial competition, logistics enterprises are in an uncertain business system environment, and a conformist logistics enterprise can not maintain its competitive advantage. Only continuous innovation can meet the needs of the market. Innovation is the key for logistics enterprises to maintain sustainable competitive advantage, and it is a kind of ability to improve service quality and be difficult to imitate. Logistics enterprises need to use social network enterprises, governments, institutions and other organizations to obtain resources, so as to innovate. In the dynamic network environment, logistics enterprises are faced with development opportunities and many new challenges. In order to be successful in the fierce competition environment, they must have agile response, rapid flexible innovation and optimal utilization of resources. In order to explore the influence mechanism of logistics enterprise social network, dynamic ability and innovation performance, this paper divides the social network dimension of logistics enterprise into three dimensions: network scope, network center degree, network relationship density. The dimension of dynamic capability of logistics enterprise is divided into dynamic environment perception ability, flexible strategic decision ability, resource allocation ability, SEM analysis model between three variables is constructed by statistical analysis software such as SPSS 22.0 and Amos 22.0. In order to obtain the primary data and process the data, it is concluded that the social network has a significant positive impact on the innovation performance of logistics enterprises through dynamic capability.
【学位授予单位】：浙江工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F259.23
，
本文编号：2244324
[Abstract]:Because of the changeable demand of logistics market, frequent technological innovation and intensified industrial competition, logistics enterprises are in an uncertain business system environment, and a conformist logistics enterprise can not maintain its competitive advantage. Only continuous innovation can meet the needs of the market. Innovation is the key for logistics enterprises to maintain sustainable competitive advantage, and it is a kind of ability to improve service quality and be difficult to imitate. Logistics enterprises need to use social network enterprises, governments, institutions and other organizations to obtain resources, so as to innovate. In the dynamic network environment, logistics enterprises are faced with development opportunities and many new challenges. In order to be successful in the fierce competition environment, they must have agile response, rapid flexible innovation and optimal utilization of resources. In order to explore the influence mechanism of logistics enterprise social network, dynamic ability and innovation performance, this paper divides the social network dimension of logistics enterprise into three dimensions: network scope, network center degree, network relationship density. The dimension of dynamic capability of logistics enterprise is divided into dynamic environment perception ability, flexible strategic decision ability, resource allocation ability, SEM analysis model between three variables is constructed by statistical analysis software such as SPSS 22.0 and Amos 22.0. In order to obtain the primary data and process the data, it is concluded that the social network has a significant positive impact on the innovation performance of logistics enterprises through dynamic capability.
【学位授予单位】：浙江工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F259.23
，
本文编号：2244324
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