Will Industry 4.0 and Other Innovations Impact Russia’s Development?

Popkova, Elena G.; Sergi, Bruno S.

doi:10.1108/978-1-78769-397-520181004

Cited by 140 publications

(20 citation statements)

References 17 publications

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“…Perspectives of development of intellectual production based on improvement of AI are outlined in Chandrasekaran et al (2019), Brun (2019), IphofenR and Kritikos (2019), Zandi et al (2019), Doyle and Senske (2018) and Wilner (2018). Contradiction between the influence of human and artificial intellectual capital on intellectual production in Industry 4.0 is emphasized in Bedford (2011), Popkova et al (2017a), Popkova et al (2017b), Popkova et al (2019), Popkova and Sergi (2019), D'Aleo and Sergi (2017) and Sergi (2018).…”

Section: Literature Reviewmentioning

confidence: 99%

The model of distribution of human and machine labor at intellectual production in industry 4.0

Inshakova

Frolova

Rusakova

et al. 2020

JIC

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PurposeThe purpose of the paper is to develop a model of distribution of human and machine labor at intellectual production in Industry 4.0.Design/methodology/approachThe basis of the methodology of the research is regression analysis. The analyzed variables are independent variables that characterize the level of development of human and machine labor in the economy of a country; dependent variables that reflect the effectiveness of the production, marketing and innovative business processes in the economy of country according to “The Global Competitiveness Report” (World Economic Forum); and dependent variables, which show the share of the sphere (agriculture, mining industry, processing industry and service sphere) in the structure of GDP of a country according to the statistics of the World Bank. For determining the change of regression dependencies in dynamics in the interests of reduction of the probability of statistical error, the research is conducted for 2010 and 2018 with application of trend analysis.FindingsBased on the full selection of modern countries that conduct digital modernization, the authors determine statistical dependencies of effectiveness of business processes and development of the spheres of economy on the intensity of application of machine and human labor. This allowed determining significant differences in automatization of business processes: perspectives of application of machine labor are the widest in production and the narrowest in marketing, differentiated logic of organization of intellectual production in different spheres of economy and the specifics of automatization of business processes and spheres of economy in countries of different categories, one of which has to be taken into account during organization of intellectual production in Industry 4.0.Originality/valueThe developed model of optimal distribution of human and machine labor at intellectual production in Industry 4.0 will allow reducing disproportions in effectiveness of different business processes, development of different spheres of economy and growth rate of developed and developing countries. This explains its contribution into provision of well-balanced development of the modern global economic system.

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Section: Literature Reviewmentioning

confidence: 99%

The model of distribution of human and machine labor at intellectual production in industry 4.0

Inshakova

Frolova

Rusakova

et al. 2020

JIC

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“…Most Russian and foreign scientists [7,8,9,10,11], as well as specialists from the foreign consulting firm A.T. Kearney [12] agree that in the context of global change, one of the strategic objectives of the company is its sustainable growth due to a well-built business performance strategy based on establishing long-term partnerships between customers and suppliers, as well as creating internal business efficiency -processes.…”

Section: Discussionmentioning

confidence: 99%

The introduction of category management in the procurement activities of an oil company in a digital transformation

Khalikova¹,

Leybert²

2019

Proceedings of the International Conference on Digital Technologies in Logistics and Infrastructure (ICDTLI 2019)

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The implementation of the concept of digitalization of the business in procurement requires management of the oil company a fundamentally new management decisions based on reliable business intelligence and analytical tools. As such, advocates the concept of category management and analytical tools, the use of which allows to obtain qualitatively new information about goods, works, services, suppliers, markets, procurement and much more. However, this information is stored in a database, the wide use of which will allow the company to build a reasonable and effective strategy in procurement. This article shows you how to integrate modern digital technology and tools of category management to improve the efficiency of procurement activities in oil companies. Presented developed by the authors of tools of categorization in the procurement process for the formation of business intelligence. An algorithm for the implementation of category management in the procurement unit in the oil company, which is based on the block diagram of the business process "Procurement" and methodical principles of the ABC-analysis, SHManalysis, categorical analysis, procurement and suppliers, as well as methods of assessing the effectiveness of procurement activities. Also the authors indicated the subject area of procurement, the implementation of which should be carried out on the basis of information technologies of BIG DATA and business intelligence.

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“…Because of an overview of the existing sources of the scientific and research literature on the topic of venture investing into digital education in the conditions of industry 4.0, which include Bogoviz (2019), Geramitchioski (2015), Hue Kyung et al (2016), Lin (2018), Pavlin (2016), Popkova (2017Popkova ( , 2019, Popkova and Sergi (2019), Rayevnyeva et al (2018), Sozinova (2019) and Sukhodolov et al (2018), it is determined that the main attention is paid to the issues of state regulation with emphasis on stimulation of universities for attraction of investments. However, the organizational and managerial issues related to protection of the interests of venture investors, are not studied in detail.…”

Section: Methodsmentioning

confidence: 99%

Venture investments into digital education in the conditions of industry 4.0: problems of attraction and directions of usage

Dobrosotskiy

Semenova

Kazarinova

et al. 2019

OTH

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Purpose The purpose of the paper is to develop a perspective mechanism of the investment and innovative activities of university in the conditions of industry 4.0, which allows supporting its high investment attractiveness and high effectiveness of usage of venture investments in digital education. Design/methodology/approach The research is performed by the example of modern Russia with application of the methods of trend analysis and regression analysis in two consecutive stages. The authors determine regression dependence of the efficiency of digital modernization of universities (on the basis of the indicator of fixed assets implementation) on the volume of investments into fixed assets. Dependence of the indicator of digital competitiveness of education (“training and education”), calculated within the part “knowledge” of the IMD rating “world digital competitiveness ranking,” on commissioning of fixed assets by universities is determined. For the purpose of representativeness of the selection of statistical data, which initial period is 2012, not only factual data for 2012-2018 are used but also forecast data for 2019-2024 (as the national program “digital economy of the Russian Federation” is due until 2024). Findings Low effectiveness of usage of venture investments in digital education in Russia is substantiated. As investments are provided in the form of target state financing, universities cannot independently determine the directions of their usage and have to use them for purchasing digital equipment and technologies. Other necessary measures for digital modernization of education, namely, training of digital personnel for university, access to digital infrastructure, development of new educational programs, conduct of research and development and marketing, are not implemented. Originality/value It is determined that attraction of private venture investments faces the problem of their large volume and high risk. Both problems could be solved by the developed mechanism of investment and innovative activities of a university in the conditions of industry 4.0. It shifts the initiative from university to digital business, which independently initiates the process of venture investing.

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Will Industry 4.0 and Other Innovations Impact Russia’s Development?

Cited by 140 publications

References 17 publications

The model of distribution of human and machine labor at intellectual production in industry 4.0

The model of distribution of human and machine labor at intellectual production in industry 4.0

The introduction of category management in the procurement activities of an oil company in a digital transformation

Venture investments into digital education in the conditions of industry 4.0: problems of attraction and directions of usage

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