Managing a Company on the Basis of the Internet of Things: Systemic Analysis, Information Processing, and Decision Making in the System “Machine-Human-Machine”

Abstract

Purpose: The purpose of the article is to study the peculiarities of systemic analysis, information processing, and decision making in the system “machine-human-machine” during managing a company on the basis of the Internet of Things. Methodology: The methodology of the article is based on a complex of general scientific methods within the Systemic approach—comparative, structural & functional, problem, and logical analysis, synthesis, induction, deduction, and formalization; and the special method of economic theory—modeling of socio-economic processes and systems. Conclusions: The performed research showed that digital modernization of a company on the basis of the Internet of Things envisages not only a completely new approach to organization of production but also the cardinal transformation of the approach to management. The offered algorithm of company management on the basis of the Internet of Things in the system “machine-human-machine” is based on the principles of labor division. According to this principle, division of machine labor (its functions are continuous diagnostics of the production processes, determination of the problems and possibilities of its improvement, selection of standard decisions (initial information processing), intellectual decisions support, and provision of implementation of decisions) and human labor (its functions include secondary (final) processing of information, systemic analysis of company’s work, and decision making) is envisaged. The highest complexity during organization of company management on the basis of the Internet of Things is development of highly-effective interaction between manager (human) and machines (elements of the Internet of Things). Originality/value: It is substantiated that preparation of modern companies for digital modernization of management on the basis of the Internet of Things should envisage not only attraction of investment resources and manifestation of high innovational activity but also selection and training of managerial personnel who are capable of highly-effective systemic analysis, processing of digital information, and decision making in the system “machine-human-machine”.