Design of the Intelligent Manufacturing Demonstration System based on IoT in the Context of Industry 4.0

Liu, Yiyang; Zenghui, Li; Wang, Zhining; Bai, Hongfei; Xing, Yun; Zeng, Peng

doi:10.1088/1755-1315/252/5/052001

Cited by 4 publications

(1 citation statement)

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“…The new Industry 4.0 phenomenon is studied in detail in the existing scientific literature, including Li (2018), Moeuf et al (2018Moeuf et al ( ), M€ uller et al (2018, Qi and Tao (2018), Xu et al (2018). Liu et al (2019) present an intellectual demonstration production system based on the IoT in the context of Industry 4.0. Ghadimi et al (2019) write that during management of supply chains in Industry 4.0, it is possible to use intellectual sustainable selection of supplier with the multi-agent technology.…”

Section: Literature Reviewmentioning

confidence: 99%

Human capital and AI in industry 4.0. Convergence and divergence in social entrepreneurship in Russia

Popkova

Sergi

2020

JIC

208

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PurposeThe purpose of this article is to determine the future proportion and variants of usage of human intellect and artificial intelligence (AI) in entrepreneurship of industry 4.0 that fits social entrepreneurship the most. It could be convergence (simultaneous utilization during the same entrepreneurial processes with the emphasis on unique features by the terms of the competition) or divergence (usage during different business processes by the terms of labor division).Design/methodology/approachThe authors determine the influence of usage of human capital and AI on the efficiency of social entrepreneurship. The authors identify the perspective directions of usage of AI in social entrepreneurship and evaluate the readiness and interest in the implementation of these directions of concerned parties. The authors also model the optimal proportions and the variant of usage of human intellect and AI in social entrepreneurship in the conditions of Industry 4.0 in the future (until 2030).FindingsIt is found that social entrepreneurship will use the opportunities of Industry 4.0 for optimization of its activities until 2030, but will refuse from full automatization, using human intellect and AI at the same time.Originality/valueThe most perspective directions of application of AI at social companies are a collection of social goods and services, marketing studies and promotion of social goods and services. Neither convergence nor divergence of human and artificial intellectual capital does not fully conform to the interests of concerned parties. The most preferable (optimal) variant of usage of human intellect and AI in social entrepreneurship in the Industry 4.0 is human intelligent decision support.

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