• 中国科学学与科技政策研究会
  • 中国科学院科技政策与管理科学研究所
  • 清华大学科学技术与社会研究中心
ISSN 1003-2053 CN 11-1805/G3

科学学研究 ›› 2018, Vol. 36 ›› Issue (9): 1668-1676.

• 技术创新与制度创新 • 上一篇    下一篇

可拓资源对制造企业服务创新的影响研究

徐建中,付静雯   

  1. 哈尔滨工程大学经济管理学院
  • 收稿日期:2017-10-13 修回日期:2018-06-03 出版日期:2018-09-15 发布日期:2018-09-20
  • 通讯作者: 付静雯
  • 基金资助:

    低碳经济背景下装备制造业企业行为演化与运营模式研究;地方政府研发投入预算管理体系构建及优化

Research on the influence of extension resources on the service innovation of manufacturing enterprises ——Comprehensive conditions of environmental quality and enterprise vitalityResearch on the influence of extension resources on the service innovation of manufacturing enterprises ——Comprehensive conditions of environmental quality and enterprise vitality

  • Received:2017-10-13 Revised:2018-06-03 Online:2018-09-15 Published:2018-09-20

摘要: 制造企业如何有效的识别服务创新的影响因素是企业面临的重要课题,本文通过文献综述识别了四种可拓资源(市场资源、社会资源、技术服务资源和智力资源)对服务创新的影响,研究四种可拓资源在环境质量和企业活力的不同条件组合下是否有显著差异,采用因子分析、聚类分析和回归分析对303家高技术制造企业的有效数据进行实证检验。结果表明,四种可拓资源对服务创新均有不同程度的正向影响;智力资源在四种环境质量和企业活力的条件组合中发挥最强的作用,技术服务资源作用最弱;四种可拓资源对服务创新的有效性在四种企业活力和环境质量的条件组合下不同,制造企业应根据企业不同的发展阶段选择合适的可拓资源。研究深化了现有对制造企业服务创新影响因素的研究,有助于企业的可持续发展,实现服务创新的最大效用。

Abstract: How to effectively distinguish the influencing factors of service innovation is an important issue which is faced with the manufacturing enterprises. The paper through literature review identifies distinguishes the influence of four kinds of extension resources on service innovation which are market resources, social resources, technical service resources and intellectual resources. With the aim of distinguishing the influence of these four kinds of extension resources combining with different conditions of the environmental quality and enterprise vitality. The effective data of 303 high-tech manufacturing enterprises are tested by factor analysis, cluster analysis and regression analysis. The results show that four kinds of extension resources have positive effects on service innovation. Intellectual resources contribute most in the combination of four kinds of environmental quality and enterprise vitality, and the technical service resources contribute lest. The effectiveness of four extension resources on service innovation is different under the combination of four enterprise vitality and environmental quality conditions. Under different combinations, manufacturing enterprises should take the suitable case of extension resources according to different stages of developing enterprises. The research deepens the existing research on the factors influencing the service innovation of manufacturing enterprises, and contributes to the sustainable development of enterprises and the maximum utility of service innovation.