Knowledge has always been, and still is, a crucial source of economy. However, during the past few years we have seen a growing interest in treating knowledge as a significant organizational resource for innovation. This trend coincides with the rapid development of ICT, indicating the strong influence that ICTs have on the processes of creating, disseminating, and using knowledge. At present, issues of innovation management and knowledge management are studied independently, which creates a certain gap in the systemic understanding of the innovation development processes. The paper proposes an integrated approach to the issues mentioned. The hierarchy and taxonomy of knowledge are considered from the point of view of their influence on decision-making at different stages of the innovation lifecycle. Our proposition complements and contributes to several recent models of decision-making developed in the frame of the innovation process.

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Multi-project management is fundamentally different from the control of a particular project or a set of slightly interconnected projects in terms of complexity and specifics. In multiproject management of the company production it is important to analyze the innovation interaction and its impact on the commercialization stage. A multiparameter factor of innovations interaction was introduced. The optimization problem which considers this factor was mathematically defined. The solution of this problem produces a schedule of innovations launches. This problem definition allows updating the objective function that corresponds to the aims of a manufacturing company. For example, it can help maximize the number of interdependent innovations with restrictions to current tangible and intangible resources or minimize the number of used tangible resources at a fixed number of innovations implemented. In order to verify the optimization problem an evolutionary approach based on genetic algorithm and local search is used. The verification was performed by the Solver a Microsoft Excel add-in. The readiness for practical use of the proposed solution was proved by the experiment.