This paper aims to quantify the innovation ecosystem model for allowing the development of smart products at the country level. In this regard, the research used an empirical approach to scale and validate the six dimensions of an innovation ecosystem model among the small and medium-sized enterprises of 21 European countries. The quantitative methods of panel data analysis and Pearson correlation tests between variables of the innovation ecosystem and smart products were considered to examine six research hypotheses. Three dimensions of the innovation ecosystem model, i.e., configuration, change, and capability, have enough effects to accelerate high levels of smart products in the small and medium-sized enterprises of European countries, supporting the external and internal economic partnerships of institutions and companies, cultural changes in functional status, and knowledge-based capabilities of technological skills in each ecosystem. In addition, hierarchical clustering analysis for the classification of the countries showed that some countries, e.g., the United Kingdom, Netherlands, Sweden, Switzerland, Germany, Denmark, France, and Norway, could support their powerful smart products for small and medium-sized enterprises at the national level due to their high mean innovation ecosystem values. Overall, the research can describe the managerial implications regarding the knowledge-based capabilities of the technological skills in each ecosystem to be utilized by managers and stakeholders in small and medium-sized enterprises.

本文旨在量化允许在国家层面开发智能产品的创新生态系统模型。对此，该研究采用实证方法，在21个欧洲国家的中小企业中对创新生态系统模型的六个维度进行了规模化和验证。考虑采用面板数据分析的定量方法以及创新生态系统和智能产品变量之间的皮尔逊相关性检验来检验六个研究假设。创新生态系统模型的配置、变革、能力三个维度，足以加速欧洲国家中小企业智能产品的高水平化，支撑机构和企业的外部和内部经济伙伴关系、功能状态的文化变化以及每个生态系统中技术技能的知识能力。此外，对国家分类的层次聚类分析显示，英国、荷兰、瑞典、瑞士、德国、丹麦、法国、挪威等一些国家可以支持其强大的中小型智能产品。因其较高的平均创新生态系统价值而成为国家级企业。总体而言，该研究可以描述每个生态系统中的技术技能的知识能力对中小企业管理者和利益相关者所利用的管理影响。