scholarly journals Managerial Thinking in a New Reality

2021 ◽  
Vol 15 (2) ◽  
pp. 107-117
Author(s):  
D. V. Kuzin ◽  
I. P. Ponomarev
Keyword(s):  
Artificial Intelligence ◽  
Human Development ◽  
Industry 4.0 ◽  
Large Scale ◽  
Digital Transformation ◽  
Human Consciousness ◽  
Methods And Techniques ◽  
Contemporary Reality ◽  
Management Thinking

The passing year 2020 has turned over a lot in society, economics and business, human behaviour and consciousness. Within a brief period, due to the pandemic situation, we found ourselves in a new reality. Still, we are trying to understand the changes that occurred and how to manage different processes effectively. But even more important is where all these processes will bring us. This very difficult period in human development took place in a completely different economy of impressions, information, knowledge and intelligence. In the framework of the large scale, overwhelming, and promising (however, somewhat controversial) Industry 4.0, we see the development and digital transformation that changed management and managerial thinking. The new fight for human consciousness has extended; methods and techniques of neuro-management, neuromarketing, and artificial intelligence are widely used. The consciousness became the object of influence and manipulation, the key topic in business and politics. This article focuses on several problems of a new quality of management thinking. It suggests and explains the essence and the necessity of hyper thinking as one of the most suitable and valuable approaches to understand and analyze the new contemporary reality and the ongoing processes and approach to education.

scholarly journals Digital Transformation, AI Applications and IoTs in Blockchain Managing Commerce Secrets: And Cybersecurity Risk Solutions in the Era of Industry 4.0 and Further

Webology ◽  
2021 ◽  
Vol 18 (Special Issue 04) ◽  
pp. 453-465
Author(s):  
Nguyen Dinh Trung ◽  
Dinh Tran Ngoc Huy ◽  
Le Thi Thanh Huong ◽  
Ta Van Thanh ◽  
Nguyen Thi Phuong Thanh ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Data Security ◽  
Industry 4.0 ◽  
Swot Analysis ◽  
Digital Transformation ◽  
High Data ◽  
Blockchain Technology ◽  
Inductive Methods ◽  
As Relationship

Once again in this study, we emphasizes strongly on applications of mathematical solutions for industrial uses. By using qualitative analysis, synthesis and inductive methods, together with statistic data, our paper target is to analyze aspects of SWOT analysis on blockchain technology and its opportunities for various industries and sectors in emerging markets such as Vietnam. This is based on the original foundation theory indicating that blockchain tech functioned as a mathematical solutions that can be applied for solving commerce secrets, with high data security and can be used for intellectual property. Among our research results is findings on the connection between IoTs - Internet of Things and blockchain tech, as well as relationship between AI - Artificial intelligence and blockchain tech. Last but not least authors propose cybersecurity risk solutions and there are policies implications attached.

scholarly journals Digitalization of Business Processes of Enterprises of the Ecosystem of Industry 4.0: Virtual-Real Aspect of Economic Growth Reserves

2021 ◽  
Vol 18 ◽  
pp. 569-580
Author(s):  
Kateryna Kraus ◽  
Nataliia Kraus ◽  
Oleksandr Manzhura
Keyword(s):  
Economic Growth ◽  
Virtual Reality ◽  
Data Storage ◽  
Industry 4.0 ◽  
Large Scale ◽  
Business Processes ◽  
Digital Transformation ◽  
Cloud Services ◽  
Scale Production ◽  
Cloud Platform

The purpose of the research is to present the features of digitization of business processes in enterprises as a foundation on which the gradual formation of Industry 4.0 and the search for economic growth in new virtual reality, which has every chance to be a decisive step in implementing digital strategy for Ukraine and development of the innovation ecosystem. Key problems that arise during the digitalization of business processes in enterprises are presented, among which are: the historical orientation of production to mass, “running” sizes and large batches; large-scale production load; the complexity of cooperation and logic between production sites. It is determined that high-quality and effective tools of innovation-digital transformation in the conditions of virtual reality should include: a single system of on-line order management for all enterprises (application registration – technical expertise – planning – performance control – shipment); Smart Factory, Predictive Maintenance, IIoT, CRM, SCM. Features of digital transformation in the part of formation of enterprises of the ecosystem of Industry 4.0 are revealed. The capabilities and benefits of using Azure cloud platform in enterprises, which includes more than 200 products and cloud services, are analyzed. Azure is said to support open source technologies, so businesses have the ability to use tools and technologies they prefer and are more useful. After conducting a thorough analysis of the acceleration of deep digitalization of business processes by enterprises, authors proposed to put into practice Aruba solution for tracking contacts in the fight against COVID-19. Aruba technology helps locate, allowing you to implement flexible solutions based on Aruba Partner Ecosystem using a USB interface. It is proposed to use SYNTEGRA – a data integration service that provides interactive analytics and provides data models and dashboards in order to accelerate the modernization of data storage and management, optimize reporting in the company and obtain real-time analytics. The possibilities of using Azure cloud platform during the digitization of business processes of enterprises of the ecosystem of Industry 4.0 in the conditions of virtual reality are determined.

scholarly journals Measuring Digital Transformation Maturity of Supply Chain

2021 ◽  
Vol 15 (2) ◽  
pp. 199-204
Author(s):  
Krešimir Buntak ◽  
Matija Kovačić ◽  
Maja Mutavdžija
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Supply Chain ◽  
Industry 4.0 ◽  
Digital Transformation ◽  
Strategic Decision ◽  
Traditional Practices ◽  
Long Run ◽  
Efficiency And Effectiveness ◽  
Different Levels

Digital transformation signifies changes in all components and systems of the supply chain. It is also a strategic decision of the organization which, in the long run, can result in the creation of competitive advantage in the market. Digital transformation is affecting all organizations, regardless of their activity. Digital transformation of the supply chain involves the use of industry 4.0 based technologies as well as the replacement of traditional practices with new ones based on digital solutions. The implementation of digital solutions, such as artificial intelligence, IoT, cloud computing, etc., therefore, improve communication between stakeholders in the supply chain, as well as improve efficiency and effectiveness. When conducted, digital transformation must be measured by different levels of maturity. In this paper, authors research current models of measuring digital transformation maturity in supply chain and propose a new model based on identified theories and needs.

The Effect of Artificial Intelligence on Management Process

2020 ◽  
pp. 22-41
Author(s):  
Mustafa Sundu ◽  
Sebnem Ozdemir
Keyword(s):  
Artificial Intelligence ◽  
Industry 4.0 ◽  
Data Science ◽  
Digital Transformation ◽  
Management Process ◽  
Science Department ◽  
Learning Set ◽  
Transformation Processes ◽  
Managerial Perspective

Artificial intelligence has started to dominantly affect every sector in Industry 4.0. However, the adaptation of the concept to managerial processes are closely related to the concepts of data science and digital transformation. Because artificial intelligence applications being developed are within the scope of artificial narrow intelligence (ANI), that situation requires the company to have a digital transformation policy in order to use artificial intelligence in managerial processes. In addition, to avoid biased artificial intelligence applications, the learning set of artificial intelligence requires a highly rigorous design. This necessitates the establishment of a data science department within the company. In this chapter, digital transformation processes in managerial perspective and the surrounded effect of artificial narrow intelligence on management are discussed.

Regulating Digital Transformation

2021 ◽  
pp. 161-183
Author(s):  
Belal Hafnawi
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Digital Transformation ◽  
Small Scale ◽  
The Core ◽  
Road Map ◽  
Regulatory Frameworks ◽  
The Impact

Digital transformation is the core value of the 4th industrial revolution or Industry 4.0. Although the efforts are focused on utilization and usage of technologies like artificial intelligence, internet of things, cloud computing, and many other technologies. We should focus in parallel on regulating the technologies to provide the proper road map and put the proper regulatory frameworks to remove uncertainties in development, investment, or implementation of technologies. Regulatory effectiveness is very important in saving time and rolling out technologies. In one initiative, regulatory technology (RegTech) will utilize the technology to enhance the regulatory process in financial sector; Regulation 4.0 is another; however, plenty of work is still ahead. Some regulators are keen to facilitate the emerging technologies and to see the consequences immediately, thus they use sandbox thinking in evaluating the impact at a small scale. In summary, this chapter will highlight the different practices and methodologies to regulate the digital transformation in the best way.

scholarly journals Astrochemistry Library with Artificial Intelligence for Quality Control

1992 ◽  
Vol 150 ◽  
pp. 19-20
Author(s):  
Sheo S. Prasad ◽  
Pradip Gangopadhaya
Keyword(s):  
Artificial Intelligence ◽  
Quality Control ◽  
Expert Systems ◽  
Large Scale

Libraries of reactions used in astrochemistry modeling have seen an explosive increase in size in recent years. Their quality control by manual effort is almost impossible. Expert systems with artificial intelligence are now needed to ensure the quality of large scale astrochemistry libraries.

scholarly journals A Quality Innovation Strategy for an Inter-regional Digital Innovation Hub

2020 ◽  
Vol 9 (4) ◽  
pp. 31-45
Author(s):  
Jonas Queiroz ◽  
Paulo Leitão ◽  
Joseane Pontes ◽  
André Chaves ◽  
Javier Parra ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Northern Region ◽  
Digital Transformation ◽  
Innovation Strategy ◽  
Crucial Importance ◽  
Economic Sectors ◽  
Digital Innovation ◽  
The Individual ◽  
Individual Strategies

Industry 4.0 is reshaping the way all the economic sectors are working. The complete adoption and understanding by the companies, large or small, of the digital transformation opportunities and benefits, requires the existence of effective instruments. The Digital Innovation Hubs (DIHs) are an important instrument, strongly promoted by the European Commission, to help companies to take advantage of digital opportunities. Aiming to boost and create synergies between several DIHs and research centers located in the northern region of Portugal and Spain, and considering the disruptive ICT technologies, the establishment of an inter-regional DIH that results from the cooperation between these entities assumes a crucial importance to transform this region into an innovative pole of reference. This paper aims to describe the strategy for the management and improvement of the quality of the innovation being developed by this inter-regional DIH under the scope of the DISRUPTIVE project. Besides considering the individual strategies of the associated members, it includes cooperative aspects, regarding the sharing of knowledge, technology, and skills, aiming to improve the quality of innovation, as well as the adoption of digitization by the companies in this region. 

scholarly journals Economic, Environmental and Social Gains of the Implementation of Artificial Intelligence at Dam Operations toward Industry 4.0 Principles

2020 ◽  
Vol 12 (9) ◽  
pp. 3604
Author(s):  
Marcos Geraldo Gomes ◽  
Victor Hugo Carlquist da Silva ◽  
Luiz Fernando Rodrigues Pinto ◽  
Plinio Centoamore ◽  
Salvatore Digiesi ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Urban Areas ◽  
Industry 4.0 ◽  
Risk Mitigation ◽  
Health And Safety ◽  
Economic Gain ◽  
Increasing Demand ◽  
Essential Resource ◽  
A Company

Due to the increasing demand for water supply of urban areas, treatment and supply plants are becoming important to ensure availability and quality of this essential resource for human health. Enabling technologies of Industry 4.0 have the potential to improve performances of treatment plants. In this paper, after reviewing contributions in scientific literature on I4.0 technologies in dam operations, a study carried out on a Brazilian dam is presented and discussed. The main purpose of the study is to evaluate the economic, environmental, and social advantages achieved through the adoption of Artificial Intelligence (AI) in dam operations. Unlike automation that just respond to commands, AI uses a large amount of data training to make computers able to take the best decision. The current study involved a company that managed six reservoirs for treatment systems supplying water to almost ten million people at the metropolitan area of São Paulo City. Results of the study show that AI adoption could lead to economic gain in figures around US$ 51,000.00 per year, as well as less trips between sites and less overtime extra costs on the main operations. Increasing gates maneuvers agility result in significant environmental gains with savings of about 4.32 billion L of water per year, enough to supply 73,000 people. Also, decreasing operational vehicle utilization results in less emissions. Finally, the AI implementation improved the safety of dam operations, resulting in social benefits such as the flood risk mitigation in cities and the health and safety of operators.

scholarly journals Trends and prospects for the development of regional scientific and technological integration in the context of EAEU Digital Agenda: political-legal framework

2020 ◽  
pp. 119-142
Author(s):  
Mark Vladimirovich Shugurov
Keyword(s):  
Industry 4.0 ◽  
Large Scale ◽  
Legal Framework ◽  
Digital Transformation ◽  
Systematic Research ◽  
Digital Platforms ◽  
Eurasian Economic Union ◽  
Economic Union ◽  
Further Development ◽  
Technological Integration

The subject of this article is trends and avenues for the digital transformation of scientific and technological, as well as innovation cooperation of the EAEU member-states. Systematic research is conducted on the changes in its content within political-legal framework of implementation of Digital Agenda of the Eurasian Economic Union. The author reveals the new challenges of EAEU policy in the area of science, technology and innovations, as well as ecosystem questions of scientific and technological integration in the context of transition towards the Industry 4.0. The key instruments of digitalization of scientific and technological integration are presented by the digital platforms and communication, which form the shared digital scientific and technological space of EAEU. The conclusion is made that the formation of a “digital” union and its accession into the era of industry 4.0. largely depends on the level of digital transformation of scientific and technological integration. The author’s special contribution consists in the statement that the solution of large-scale task on creation of ecosystem of digital scientific, technological and innovative space based on functionality of the corresponding institutions and digital infrastructure objects represents a new aspect of cooperation, which suggests further development of strategic and legal grounds of the aforementioned sectoral digital transformation. The explored by the author vector of development of scientific and technological integration may serve as the methodological framework for a set of measures established by the Chapter “Territory of Innovations” of the Declaration on Further Development of Integration Processes within the Eurasian Economic Union of December 2018, with emphasis on the implementation of EAEU Digital Agenda.

Artificial intelligence and problems of intellectualization: development strategy, structure, methodology, principles and problems

2020 ◽  
Vol 25 (4) ◽  
pp. 14-23
Author(s):  
Ramazanov S.K. ◽  
◽  
Shevchenko A.I. ◽  
Kuptsova E.A. ◽  
Keyword(s):  
Artificial Intelligence ◽  
Sustainable Development ◽  
Industry 4.0 ◽  
Science And Technology ◽  
Digital Economy ◽  
The World ◽  
Future Science ◽  
Analysis And Synthesis ◽  
Global World

The paper analysis the strategies and concepts developed in the world in modern directions: innova- tive economy, digital economy, artificial intelligence, Industry 4.0 and others. The problem is to determine the initial fundamental parameters of order and their prospects in the global world, the definition and principles of artificial intel- ligence systems (AIS), its structure and important aspects and principles of future science and technology in analysis and synthesis based on synergetic approaches, innovative, information, converged technologies, taking into account the design of future and viable and safe and sustainable development in the context of Industry 4.0, digital economy (DE) and Society 5.0. The general scheme of the integrated model of sustainable and socio-humanitarian development in the global system is proposed, which the authors call the noosphere model of sustainable and safe development as an important fundamental platform for the design and creation of AIS. In the XXI century education, science and innova- tive technologies becomes the «basis» of the spiritual and material reproduction of man, transforming the society of the XXI century into an educational society, ensures compliance with the law of advanced development of human quality, quality of social intelligence and quality of educational systems in society. noosphere evolution (Субетто, 2008). Industry 4.0 is the next stage in the digitalization of production technologies with the accelerated introduction of new developments and cyberphysical systems, which is changing business models. Accordingly, Industry 4.0 as a separate segment of digital manufacturing technologies takes its place among other digital sectors. The analysis of the Strategies and Concepts developed in the world in modern directions: innovative economy, digital economy, artificial intelli- gence, Industry 4.0 and others is carried out in the work. The problem is to determine the initial fundamental para- meters of order and their prospects in the global world, the definition and principles of artificial intelligence systems (AIS), its structure and important aspects and principles of future science and technology in analysis and synthesis ba- sed on synergetic approaches, innovative, information, converged technologies, taking into account the design of future and viable and safe and sustainable development in the context of Industry 4.0, DE and Society 5.0. The main scientific and technological factors in the 21st century will be the development of: Artificial Intelligence, Nano Technologies, Bio-Media Technologies, Cognitive Technologies and Socio-Humanitarian Technologies. More specifically – this is the modern development of Innovative Technologies: «NBIC SH». Therefore, it is necessary to note the importance of taking into account the principle of I2K2+SH, ie: Intellectualization, Integration, Convergence, Coevolution and Socio- humanitarian technologies. It is important and necessary to take into account modern principles of designing a su- stainable and secure AIS and solving the problem of Harmonization between 2 worlds: Real and Virtual, especially in their hybridization. Our immediate future is a hybrid nonlinear world. Note that digitalization, artificial intelligence (AI) and robotics will be the main drivers of global economic growth by 2030E. An important paradigm and platform is the Integrated System: for Industry 4.0, DE and AI, taking into account the complex principle of I2K2+SH. If the transition of the Ukrainian economy to an innovative one does not take place in the next 3-5 years, Ukraine will remain in the backyard of civilization.

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