关键词: 战略性新兴产业, 科研机构, 协同创新, ANP-DEA-GRA, 合作伙伴选择

Abstract: Partner selection is an important premise for complex collaborative innovation relationship and effective operation of strategic emerging industries market. This paper takes collaborative innovation needs between the strategic emerging industries and research institutions as the research background, according to the principles of partner selection, based on the “Input ability-Collaborative degree-Output ability” framework, an evaluation system of partner selection for the collaborative innovation is established, and this paper puts forward a new method that combined three methods of Analytic Network Process, Data Envelopment Analysis and Grey Relational Analysis, which is called ANP-DEA-GRA three-stage evaluation model. This model can use the advantages of each method to realize the comprehensive sequencing of many indexes and schemes. After analyzing the input ability indicators of human resources, financial resources, equipment resources; collaborative degree indicators of collaborative wishes, collaborative communication ability; output ability indicators of directly and economic output indexes, ANP is used to obtain the weight of each indicator, and the evaluation indicators with high impact degree for the target are screened, then the relative efficiency and gray correlation of partners are calculated, finally, the alternative partners are sorted rationally and effectively. The results show, ANP-DEA-GRA three-stage evaluation model can help companies to choose the best partners and reduce the risk of collaborative innovation from the source, it also can realize the collaborative innovation efficiency assessment of alternative partners, by this way, it can help partners to find their own disadvantages and provide a development benchmark for themselves.

Key words: strategic emerging industries, research institutions, collaborative innovation, ANP-DEA-GRA, partner selection