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Purpose The link between openness and innovative performance has been established as an inverted U-shape relationship, namely, the openness-performance connection is not always positive. The purpose of this paper is to introduce the concept of partner heterogeneity to characterize the influence of “quality” changes in partners on innovative performance, that is, the focus of this paper. Given that partner heterogeneity is crucial in explaining open innovative performance, it is also worth placing the examination of this key construct in emerging regions such as China. Design/methodology/approach The sample selection of this study covers a wide range of industries, but requires that the sample firms be manufacturing enterprises with an open innovation strategy. With opportunities and challenges associated with partner collaboration toward open innovation, the Chinese province of Zhejiang has established its reputation. Thus, empirical data were collected randomly from data pool of Zhejiang Province Economic and Information Commission, as well as a survey questionnaire. Data were using a cross-sectional survey methodology encompassing diverse organizations, industries, and nations. Findings Empirical testing of this assumption in a sample of 217 manufacturing firms indicates that partner heterogeneities, which are classified as organizational heterogeneity, industry heterogeneity, and national heterogeneity are all positively associated with innovative performance, but the strength of this association is influenced by environmental turbulence. Technological turbulence significantly and positively modulates the relationships of organizational and national heterogeneities with innovative performance. Market turbulence also plays a significant positive role on the relationship between national heterogeneity and innovative performance, while technological and market turbulence roles on the relationship between industry heterogeneity and innovative performance are not confirmed. Originality/value This paper refines the connotative dimensions of partner heterogeneity around the core concept of partner heterogeneity in open innovation in the context of emerging region, China. The study presents a systematic, in-depth analysis, and verifies the impact mechanisms of partner heterogeneity in open innovation on innovative performance by integrating the resource-based view, organizational learning theory, and transaction cost theory.

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Based on the origin of the innovation theory and the technological innovation models of Rothwell, this paper puts forward four-generations of evolutionary models using the firm innovation system: "Internal R&D-Oriented Innovation System", "Internal and External Collaborative Innovation System", "Highly StrategicOriented Innovation System" and "Ecological Innovation System". This paper dwells on the characteristics and relationship between each innovation system, and the role in the enterprise innovation especially the State-owned Key Enterprises innovation, so as to provide a theoretical and practical basis for the design and improvement of the Stateowned Key Enterprises innovation system.

While current research commonly finds there may be an optimum overall level of search depth commitment at the apex of an inverted U relationship, it says comparatively little about the optimal allocation of search depth between competing search channels. Neither does it explore in depth the qualitative differences in the breadth of different external search channels.Here we conceptually and empirically explore the idea of the intra-search channel allocation problem using the concept of heterogeneity in search depth and breadth. We explore how variations in the distribution of open innovation search depth and breadth influnence innovation performance and in doing so contribute to a more fine grained conceptual understanding of external innovation. We do so an emerging market context, namely China. Our contributions are therefore twofold, involving both conceptual and empirical elements.