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Measuring the openness of innovation is essential to understanding whether and under which conditions increasing openness is beneficial for organizations. However, no consensus has been so far achieved on which dimensions characterize the openness of innovation, which approach should be used to measure it, or which unit of analysis should be adopted. This paper proposes an approach, named ATOM (Aggregative Technique for Openness Measurement), to characterize and measure the openness of innovation, rooted in the concepts of knowledge supply (KS) and innovation practice (IP). As prescribed by the confirmation phase of theory building model, the approach has been successfully applied to a real innovation project. The paper contributes to clarifying the concept of innovation openness and attempts to improve its measurement by adopting a micro-level unit of analysis (i.e., single KS within an innovation project) as well as dimensions that extant literature considers relevant to managing external collaborations. The proposed approach can also support firms involved in an innovation project to (i) identify and measure the criticality of knowledge supplies, (ii) assess the openness of the adopted innovation practices, and (iii) support ex-post learning on the way the project was managed.

The subject of the research is the processes of Russian knowledge economy development, its progress on the regional level is taken as a theme, which determined the purpose of research: development of the regional knowledge economy development indicative planning method conceptual model. The methodological base of the research is the knowledge economy concept and supply and demand theory, the methods of comparative and system analysis and theoretical modeling; common generalization and classification methods and regression models are used in the work. As a result, we managed to create the regional knowledge economy development indicative planning method conceptual model, which includes the choice of the types of indicative plans and the justification for the complex of indicators according to the stated requirements to this complex. The model of supply and demand for knowledge dependency from the knowledge cost, allowing to determine the acceptable range for the indicators proceeding from the demand and supply levels and their interrelation, is developed. The obtained results may be used by the regional government authorities while planning the regional innovative development and consulting companies while making the proposals for this development.

PurposeThe authors aim to investigate the concept of open innovation, identify different open innovation practices which help describe the continuum between closed and open innovation, and propose a framework that suggests an association between innovation contexts and practices.Design/methodology/approachThe authors first identify the variables to describe innovation contexts and practices. Such variables are developed based on the literature and on a previous paper by the same authors in 2011. Then, they establish an association between contexts and practices, and test it through cases drawn from the existing literature.FindingsThe paper proposes a detailed assessment of open innovation practices and suggests the association between each of them and diverse innovation contexts. A few case examples drawn from the literature prove coherent with the theoretical framework underlying the proposed association.Practical implicationsThe authors' results (and specifically the framework) enhance the organizations' awareness of the open innovation concept and the possible practices to implement it, as well as supporting managers to better select open innovation practices in different contexts.Originality/valueThis paper discusses the concept of open innovation practices to enhance the comprehension of the open innovation concept. Also, to the authors' knowledge, the proposed association between context and practices is original in that there are no similar theoretical frameworks that help organizations selecting innovation practices.

China's technological capabilities are emerging rapidly and the country will become a major challenger to established nations in terms of R&D and innovation in the near future. For the moment, however, contradictory signals emerge from the Chinese economy leaving experts pondering about the country's true potential for technological upgrading on a broad scale. The integration of the domestic research system, international technology transfer, and technological development remains limited to a few high-tech companies, while large segments of the domestic private sector have limited access to knowledge and technologies to upgrade their activities. It is the core argument of this paper that technological development in China is not suffering from a lack of innovative capacity or human resources, but from a mismatch of research supply and demand. It is suggested that the expansion of successful domestic knowledge generation beyond a limited number of highly publicised S&T 'mega projects' depends on an improved management system for the interface between public applied research and technological development. The empirical analy-sis brings together data on the Chinese innovation system with evidence from the electronics industry in Guangdong province.