2018
DOI: 10.1007/978-3-030-00102-5_124
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Prospects of Using Virtual Technologies in Modern Corporate Business Systems

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Cited by 5 publications
(3 citation statements)
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“…The problems of the development of Industry 4.0 are widely reflected in the works of many researchers: security and privacy in industry 4.0 (Alcaraz et al, 2020); safety digitalization (Savon et al, 2019); machine diagnostic methods applicability in the perspective of industry 4.0 (Asad et al, 2018); business intelligence (Bordeleau et al, 2019); national and regional comparative advantages in key enabling technologies (Ciffolilli & Muscio, 2018); model compression for IoT applications (Fu et al, 2020); prospects of using virtual technologies in modern corporate business systems (Klochko & Brizhak, 2019); modeling the management system of open innovation in E-economy (Kudryavtseva et al, 2018); Big Data approach (Kumar et al, 2018); digital supply chain model (Lizette Garay-Rondero et al, 2019); digitization and industry 4.0 optimization potential (Wirth & Klein, 2018); deep learning model in industry 4.0 (Ma et al, 2020); data science challenges (Piccialli et al, 2020); modelling of energy (Shinkevich et al, 2020); smart job shop under industry 4.0 (Wang et al, 2020); the impacts of industry 4.0 (Zheng et al, 2019) and ext.…”
Section: Problem Statementmentioning
confidence: 99%
“…The problems of the development of Industry 4.0 are widely reflected in the works of many researchers: security and privacy in industry 4.0 (Alcaraz et al, 2020); safety digitalization (Savon et al, 2019); machine diagnostic methods applicability in the perspective of industry 4.0 (Asad et al, 2018); business intelligence (Bordeleau et al, 2019); national and regional comparative advantages in key enabling technologies (Ciffolilli & Muscio, 2018); model compression for IoT applications (Fu et al, 2020); prospects of using virtual technologies in modern corporate business systems (Klochko & Brizhak, 2019); modeling the management system of open innovation in E-economy (Kudryavtseva et al, 2018); Big Data approach (Kumar et al, 2018); digital supply chain model (Lizette Garay-Rondero et al, 2019); digitization and industry 4.0 optimization potential (Wirth & Klein, 2018); deep learning model in industry 4.0 (Ma et al, 2020); data science challenges (Piccialli et al, 2020); modelling of energy (Shinkevich et al, 2020); smart job shop under industry 4.0 (Wang et al, 2020); the impacts of industry 4.0 (Zheng et al, 2019) and ext.…”
Section: Problem Statementmentioning
confidence: 99%
“…The organization of systems of planning and control of production processes of petrochemical industries focuses on solving the problem of using energy-saving technologies to optimize the entire production chain of the petrochemical enterprise and related industries. Among the most studied issues in the foreign literature in this direction are the works of the following authors: Tozzi and Jo (2017) have conducted a comparative analysis of renewable energy modeling tools based on the construction of a model of performance simulation at the petrochemical enterprise and system optimization; Nikolaidis and Poulikkas (2017) is a comparative review of hydrogen production processes as intermediate production in the petrochemical industry; Cucchiella et al (2017) -comparison of environmental and energy performance of European countries based on the sustainability index; Akhavein and Porkar (2017) focused on the research objectives of petrochemical manufacturing using a comprehensive system to test the reliability of power generation and transmission in petrochemicals; Ram et al (2017) focused on reducing energy consumption in the petrochemical complex Dellano-Paz et al (2015) offered a technique of assessment of use of renewables in petrochemistry on the basis of ecological and social indicators which approbation took place within the "European Low-carbon Mix for 2030" program; Sovacool (2015) emphasized the issues of "pollution markets" of petrochemical complex, having developed recommendations for energy consumption planning in this industry; Nasiri et al (2015) studied innovative aspects of energy consumption in petrochemicals; Degtyarev et al (2014) offered scientific support of program power and resource saving; Kolotyrin et al (2019) reviewed the use of resource-saving technologies in related petrochemical industries; Klochko and Brizhak (2019) Analyze virtual technologies in the petrochemical complex. However, the above-mentioned works do not fully reflect the key principles of resource saving in chemical-technological systems, which can be considered as the main ones for petrochemical enterprises.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The problems of economic development of the territories in the face of changing technological systems are represented by such areas of research as the management of intellectual capital in the innovation economy (Kudryavtseva and Shinkevich 2015), cluster management technologies for changing technological orders (Dyrdonova 2016), socioeconomic differentiation of regions in the era of the fourth industrial revolution (Vertakova et al 2017), factors of innovation in prospective sectors of the economy (Klimenko et al 2018), business systems in the context of transformational economy (Klochko and Brizhak 2019), digital ecosystem modernization (Shkarupeta et al 2020), etc. Despite the wide range of considered problems during the change of technological orders, the authors do not view them in the context of individual territories, in particular, the Russian Arctic zone.…”
Section: Introductionmentioning
confidence: 99%