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

被引:16
作者
Inshakova, Agnessa O. [1 ]
Frolova, Evgenia E. [2 ,3 ]
Rusakova, Ekaterina P. [3 ]
Kovalev, Sergey I. [3 ]
机构
[1] Volgograd State Univ, Volgograd, Russia
[2] Govt Russian Federat, Inst Legislat & Comparat Law, Moscow, Russia
[3] RUDN Univ, Moscow, Russia
关键词
Human labor; Machine labor; Intellectual production; Industry; 4; 0; ARTIFICIAL-INTELLIGENCE; ECONOMY; CHALLENGES; SOCIETY;
D O I
10.1108/JIC-11-2019-0257
中图分类号
F [经济];
学科分类号
02 ;
摘要
Purpose The 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/approach The 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. Findings Based 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/value The 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.
引用
收藏
页码:601 / 622
页数:22
相关论文
共 36 条
[1]   Human capital flows in failing organizations: an integrated conceptual framework [J].
Amankwah-Amoah, Joseph .
JOURNAL OF INTELLECTUAL CAPITAL, 2018, 19 (04) :732-746
[2]   Transforming to a hyper-connected society and economy - towards an "Industry 4.0" [J].
Bauer, Wilhelm ;
Haemmerle, Moritz ;
Schlund, Sebastian ;
Vocke, Christian .
6TH INTERNATIONAL CONFERENCE ON APPLIED HUMAN FACTORS AND ERGONOMICS (AHFE 2015) AND THE AFFILIATED CONFERENCES, AHFE 2015, 2015, 3 :417-424
[3]  
Bedford D.A.D., 2011, P INT C MAN EM DIG E, P210
[4]  
Brun A., 2019, SOC PETR ENG AB DHAB, P58
[5]  
Chandrasekaran N., 2019, Information Systems Design and Intelligent Applications. Proceedings of Fifth International Conference INDIA 2018. Advances in Intelligent Systems and Computing (AISC 863), P271, DOI 10.1007/978-981-13-3338-5_25
[6]  
CHEN X, 2018, IOP C SER EARTH ENV, V128, DOI DOI 10.1088/1755-1315/128/1/012050
[7]  
Coluccia Daniela, 2016, International Journal of Managerial and Financial Accounting, V8, P230
[8]   Human factor: the competitive advantage driver of the EU's logistics sector [J].
D'Aleo, Vittorio ;
Sergi, Bruno Sergio .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2017, 55 (03) :642-655
[9]  
de Souza T.A., 2017, ESPACIOS, V38, P16
[10]  
Dincelli E., 2017, AMCIS 2017 AM C INF, P48