The paper envisages the analysis of the new generation manufacturing-distributive systems. The particular attention is paid to the production function as the analytic instrument allowed evaluating the interrelation between economic results of an enterprise and production factors, which includes the cognitive production factors as well. The rationale for the enlargement of the traditional production functions by means of the transfer from the multiplicative to the logistic dependence has been analyzing. The results of production function modelling on the base of the logistic dependence have been depicted on the open data of a high tech enterprise from 2009 till 2018. The results of production function modelling have shown that the usage of logistic dependence has allowed tracing more precise the transition of production factors to the other path dependency. The inclusion of the cognitive production factors has allowed evaluating their contribution to the economic results of a high-tech enterprise. This work is still in progress and the presented results are preliminary and would be added and specified by the additional research.

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PurposeThe paper examines whether, along with the financial performance, the disclosure of research and development (R&D) expenses, patent portfolios, patent citations and innovation activities affect the market capitalization of Russian companies.Design/methodology/approachThe paper opted for a set of techniques including bag-of-words (BoW) to retrieve additional innovation-related data from companies' annual reports, self-organizing maps (SOM) to perform visual exploratory analysis and panel data regression (PDR) to conduct confirmatory analysis using data on 74 Russian publicly traded companies for the period 2013–2019.FindingsThe paper observes that the disclosure of nonfinancial data on R&D, patents and primarily product and marketing innovations positively affects the market capitalization of the largest Russian companies, which are mainly focused on energy, raw materials and utilities and are operating on international markets. The study suggests that these companies are financially well-resourced to innovate at risk and thus to provide positive signals to stakeholders and external agents.Research limitations/implicationsOur findings are important to management, investors, financial analysts, regulators and various agencies providing guidance on corporate governance and sustainability reporting. However, the authors acknowledge that the research results may lack generalizability due to the sample covering a single national context. Researchers are encouraged to test the proposed approach further on other countries' data by using the compiled lexicons.Originality/valueThe study aims to expand the domains of signaling theory and market valuation by providing new insights into the impact that companies' reporting on R&D, patents and innovation activities has on market capitalization. New nonfinancial factors that previous research does not investigate – innovation disclosure indicators (IDI) – are tested.

Perspective directions of development of information technologies in the field of improvement of programs of universal artificial intelligence for tasks of the organization of production are Considered. Modern trends of application in production are considered and advantages to companies are analyzed. The concept of building a production process using smart technologies and other artificial intelligence approaches is proposed.

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