Digital Transformation Technologies Research Articles

Современные методы навигационного мониторинга и позиционирования сельскохозяйственной техники

The article considers the state of transport monitoring systems used in agricultural production. The urgency of the problem is explained by the need to increase the profitability of enterprises of the agricultural complex. An effective way to solve the problem is strict control of the operation of transport used in the technological process of agricultural production in order to optimize and increase the efficiency of its operation. The direct dependence of the profitability of an agricultural enterprise on the monitoring of transport is considered and justified. To illustrate, the results of a survey conducted in 2020 by the staff of the Center for Forecasting and Monitoring of the Kuban State Agrarian University are used. It is concluded that monitoring systems make it possible to rationalize the process of cultivating arable land and significantly reduce fuel costs, and agricultural enterprises that do not use digital transformation technologies lose out in the competition to more modern companies. Keywords: AGRICULTURAL PRODUCTS, SATELLITE COMMUNICATIONS, MONITORING, POSITIONING, TRANSPORT, AGRICULTURE, GLONASS, GPS

Development of a User-Centric Bridge Visual Defect Quality Control Assisted Mobile Application: A Case of Thailand’s Department of Highways

Digital innovations have changed the way many industries operate, but the construction industry has been slow to adopt these technologies. However, challenges such as low productivity, project overruns, labor shortages, and inefficient performance management have motivated Thailand’s Department of Highways to adopt digital innovations to build a competitive advantage. Because this industry requires a large work force, obstacles to collaboration can result in ineffective project management. We aimed to improve collaboration on bridge inspections that typically requires the involvement of many people, personal judgement, and extensive travel to survey bridges across the country. One major challenge is to standardize human judgement. To address these challenges, we developed a user-centric bridge visual defect quality control mobile application to improve collaboration and assist field technicians to conduct visual defect inspection. Our results can be used as a case study for other construction firms to embrace digital transformation technologies. This research also demonstrates the new-product development process using the new technology in known markets innovation development and technology acceptance model. We offer several recommendations for future research, including other infrastructure applications.

Does smarter mean better?

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Saudi Arabian SMEs are not seeing the performance benefits to digital transformation and smart technology adoption. This will have to change if its economy is to truly diversify away from oil. Originality The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Understanding digital transformation in advanced manufacturing and engineering: A bibliometric analysis, topic modeling and research trend discovery

Digital transformation (DT) is the process of combining digital technologies with sound business models to generate great value for enterprises. DT intertwines with customer requirements, domain knowledge, and theoretical and empirical insights for value propagations. Studies of DT are growing rapidly and heterogeneously, covering the aspects of product design, engineering, production, and life-cycle management due to the fast and market-driven industrial development under Industry 4.0. Our work addresses the challenge of understanding DT trends by presenting a machine learning (ML) approach for topic modeling to review and analyze advanced DT technology research and development. A systematic review process is developed based on the comprehensive DT in manufacturing systems and engineering literature (i.e., 99 articles). Six dominant topics are identified, namely smart factory, sustainability and product-service systems, construction digital transformation, public infrastructure-centric digital transformation, techno-centric digital transformation, and business model-centric digital transformation. The study also contributes to adopting and demonstrating the ML-based topic modeling for intelligent and systematic bibliometric analysis, particularly for unveiling advanced engineering research trends through domain literature.

Online Faculty Development Programme Digital Transformation Technologies in Research & Academia (3rd August - 7th August 2021)

Online Faculty Development Programme Digital Transformation Technologies in Research & Academia (3rd August - 7th August 2021)

Digital transformation of compliance management - a strategic solution for business continuity

Introduction. Compliance is one of the crucial factors for the implementation of strategic solutions aimed at ensuring business continuity. It is vital both for performing previously assumed obligations and for meeting new requirements from stakeholders in a crisis. In today’s rapidly changing environment, businesses depend on information and information technologies and use them for business continuity planning, thus taking a proactive approach. In this regard, digital transformation of compliance management procedures is required. Purpose. To study modern digital transformation technologies which can be applied to compliance management procedures in order to ensure business continuity. Methodology. The main conclusions made in this article are based on general scientific methods: analysis, synthesis, comparison, deduction, and induction. Conclusions. Big data analysis, machine learning technologies, and robotic process automation allow for complete or partial automation of the following compliance management procedures: compliance risks analysis and prediction; a comprehensive check on the contractors and contract analysis; employee training; maintaining the systems reporting on compliance breaches; monitoring and identification of suspicious activity; internal investigations. Strategic decisions aimed at the automation of compliance management give a company an opportunity to quickly analyse data and assess compliance risks, to use valuable human resources for more complex tasks, to improve the discipline and the quality of employee training, and to maintain the required level of business operations during and after a crisis.

Intrinsic value of food chain data

Intrinsic value of food chain data

Application of Electronic Learning by Utilizing Virtual Reality (VR) and Augmented Reality (AR) Methods in Natural Sciences Subjects (IPA) in Elementary School Students Grade 3

Corona Virus Disease 2019 (Covid-19) has stopped all aspects of human life, including the world of education. The Ministry of Education of the Republic of Indonesia has stopped face-to-face teaching and learning activities in schools, replacing them with online methods. Work from Home (WFH) is an adaptation of activities as applied online methods to anticipate learning activities during the Covid-19 Pandemic. Learning based on digital transformation technology utilizes network technology entirely online. The application of e-learning technology in the teaching and learning process is a choice for various educational institutions. The use of technology can maximize students 'learning time efficiency and increase students' concentration. Learning with the Virtual Reality (VR) method directs students to discoveries, motivates, encourages, and provides more curiosity for students in learning. Besides VR, Augmented Reality (AR) is a learning method for students to interact with virtual objects and real objects. The author proposes e-learning based learning in Natural Sciences (IPA) subjects in grade 3 in Elementary Schools. The research proposal develops lessons using a virtual approach from real events and provides phenomena of natural occurrences. Science lessons in Elementary Schools increase the curiosity of students scientifically. This method will help students develop the ability to ask questions and find answers to natural phenomena. The research stages carried out in application development are analysis, design, implementation, and application testing. The test results by adding e-learning to traditional learning methods impacted students' understanding of the material with an increased level of understanding by 24%.

Data in Context: How Digital Transformation Can Support Human Reasoning in Cyber-Physical Production Systems

In traditional production plants, current technologies do not provide sufficient context to support information integration and interpretation. Digital transformation technologies have the potential to support contextualization, but it is unclear how this can be achieved. The present article presents a selection of the psychological literature in four areas relevant to contextualization: information sampling, information integration, categorization, and causal reasoning. Characteristic biases and limitations of human information processing are discussed. Based on this literature, we derive functional requirements for digital transformation technologies, focusing on the cognitive activities they should support. We then present a selection of technologies that have the potential to foster contextualization. These technologies enable the modelling of system relations, the integration of data from different sources, and the connection of the present situation with historical data. We illustrate how these technologies can support contextual reasoning, and highlight challenges that should be addressed when designing human–machine cooperation in cyber-physical production systems.

FEATURES OF CREATING AN EDUCATIONAL ENVIRONMENT BASED ON SELF-ORGANIZATION AND INTEGRATION OF NATURAL SCIENCES, DIGITAL TRANSFORMATION AND COMPUTER TECHNOLOGY

Modern society is characterized by rapid changes in the vast majority of its spheres of existence. These trends determine the changing requirements for the process of obtaining, transforming, storing, transforming, transmitting information in the process of learning in educational institutions. Education must be advanced. In these conditions, the model of the educational environment requires improvement. The purpose of the article is to create an educational environment. The functionality of the environment should be based on the principles of integration of natural sciences, digital transformation and computer technology. Various methods were used to achieve this goal. We analyzed and synthesized scientific and methodological literature. We have summarized the best pedagogical experience. The ratio of the development of experimental science and science, and accordingly technology and science determines the level of contradiction between theory and experiment, between theory and life, between theory and practice and is a measure of the development of science. We modeled the structure of a synergistically oriented educational environment. The article identifies the necessary conditions for self-organization. We proposed a structure of a synergistically oriented educational environment. We have developed a scheme of an integrated working body as an example of the integration of knowledge from the natural and technical sciences. The content of learning in a synergistically oriented educational environment involves the creation of nonequilibrium, probabilistic problem situations. Their solution requires the involvement of verbal, abstract-logical, figurative-intuitive, emotional-cognitive resources of students. At the same time, they have to look for a meaningful answer to the problem not within a narrowly specialized subject, but in terms of integrating knowledge of a range of natural sciences and, as time demands, digital transformation and computer technology.

Significance of Technology and Digital Transformation in Shaping the Future of Oil and Gas Industry

Digital transformation in the field of oil and Gas industry is already a significant impact creator. It is actually act like catalyst through which the overall functionality of the oil and gas industry get enhanced and the overall output with the help of technologically-advanced mechanism, increased up to manifold. In the present scenario, the over-all quest is not just about the volume of the oil and petroleum, but it is also regarding the overall value generated throughout the process. And such enhanced level of value generation is taking place with great pace with the help of enhanced level of implementations of different types of technologies in different type of activities related to the oil and gas industry. In the present scenario, oil and gas industry’s business model is no longer depending upon just the inflated and narrow based value-chain mechanism. It is actually depending upon the almost all modernized and futuristic technologies. The modern technologies include big data analytics, 3D printing technology, cyber security, digital marketing, Artificial Intelligence, Internet of Things, drone technologies, database management system, etc. all these technologies are not only supports in handling the overall business capability of the oil and Gas Industries, but also eliminate the overall negative impact generating elements. With the help of technologies and digital transformation, the overall profitability of the oil and gas industry enhanced. Digital transformation is a prominent and significant impact creator which is not limited to the oil and gas industry, but also reaching up to the all-global level Businesses. It is transforming the overall business operations by enhancing the speed of innovation and making the use of practical knowledge base which ultimately enhance the overall power of operations and increase efficiencies. With the emergence of digital transformation technologies especially with the emergence of big data analytics, the Internet of Things and Artificial Intelligence have supports several types of innovative and new ways of developing and transforming the overall market as well as the customer satisfaction in significant manner. All such innovative technologies and digital transformations are contributing significantly in shaping the future of oil and gas industry

The Importance of Social Sustainability in Digital Transformation: A New Definition Proposal

Social effects caused by digital transformation technologies are spreading to all areas of life with new technological developments. Digital transformation fundamentally changes people's habits and determines the life style and quality of future generations. With the emergence of the digital society, social sustainability gains a special importance in digital transformation. The fact that the Industry 5.0 vision of the EU Commission is focused on sustainability and people along with flexibility emphasizes the increasing importance of social sustainability in the digital age. The positive connection of digital transformation with social sustainability is clearly expressed in scientific studies. However, despite this positive relationship and the increasing importance, it is seen that social sustainability is not included in the digital transformation definitions in the literature. This study, based on literature research, provides a new definition by examining the social sustainability dimension of digital transformation within the scope of sustainability. The proposed new definition emphasizes the importance of the social sustainability dimension together with the strategic dimension of digital transformation. Keywords: Digital Transformation, Social Sustainability, Digital Strategies, Industry 5.0 DOI: 10.7176/JSTR/7-02-04

The Augmented Reality Technology as Enabler for the Digitization of Industrial Business Processes: Case Studies

Augmented Reality Technology Augmented Reality Technology (AR) is one of the key technologies of digital transformation in industrial and non-industrial areas. Due to the rapid development of display hardware and tracking systems, virtual and augmented reality applications are being developed today that would only have been possible in large research laboratories with huge efforts a few years ago. This paper presents the application of the augmented reality technology in the industrial field. Based on industrial case studies the implementation of two AR applications and their potential to digitize the product lifecycle processes will be discussed. The case studies were developed within cooperation projects between the University of Applied Sciences Karlsruhe and a fire truck manufacturer with the focus on the following topics: product configuration management and assembly assistance. The objective of this work is the investigation of the AR application in the industrial environment and its capability as digital transformation technology along the product lifecycle. The presented paper delivers experiences and suggestions in terms of praxis-oriented development and deployment of the AR technology in the engineering field, which can be used for future AR research works.

Technology Focus: Digital Data Acquisition (January 2021)

COVID-19 has significantly accelerated the adoption of digital technologies across all industries, and the oil and gas industry has been no exception. Consequently, interest in digital data acquisition, the backbone of all digital transformation work flows, also has increased significantly. This can clearly be seen in the multifold increase in the number of SPE papers on this topic since last year. This feature will continue to focus on technologies to improve data accessibility and data acquisition, as well as entirely new data sources and their applications. The papers chosen this year include real-time remote monitoring of steam traps and corrosion using wireless sensors, enabling faster and easier access to relevant subsurface information through deep learning of unstructured documents, and automation of real-time drilling work flows through digital transformation technologies. While not reflected in these papers, a related emerging technology that has the potential to transform the data acquisition paradigm and that is garnering much attention, however, is edge computing. As the saying goes, if you cannot bring the data to the model, take the model to the data. One of the main difficulties in faster adoption of digital transformation in oil and gas has been access to reliable real-time data that can be converted to real-time decisions. This is the case because of the remote and geographically distributed nature of most oil and gas assets and legacy outdated and piecemeal information-technology (IT) infrastructures, making it difficult to provide models with reliable, standardized data in a timely manner. Edge-computing frameworks eliminate scale and capacity constraints and bypass limitations of current IT infrastructures, truly enabling operationalization of models for real-time decision making. Edge computing, together with machine learning and artificial intelligence, will be the real enablers of digital transformation.

Digitization of industrial engineering processes using the augmented reality technology: industrial case studies

Augmented Reality Technology is one of the key technologies of digital transformation in industrial and non-industrial areas. Due to the rapid development of display hardware and tracking systems, virtual and augmented reality applications are being developed today that would only have been possible in large research laboratories with huge efforts a few years ago. This paper presents the application of the augmented reality technology (AR) in the industrial field. Based on industrial case studies the implementation of two AR applications and their potential to digitize the product lifecycle processes will be discussed. The use cases were developed within cooperation projects between the University of Applied Sciences Karlsruhe and a fire truck manufacturer. The case studies focus on the following topics: digital product configuration management and production planning and assistance. The objective of the case studies is the investigation of the AR application in the industrial environment and its capability as digital transformation technology along the product lifecycle. The presented case studies deliver experiences and suggestions in terms of praxis-oriented development and deployment of the AR technology in the engineering field, which can be used for future AR research works.

“Proposal to improve Digital transformation and Information Technology”

“Proposal to improve Digital transformation and Information Technology”

Digital Transformation in the Context of the European Union and the Use of Digital Technologies as a Tool for Business Sustainability

The potential of digitalization, digital transformation and digital technologies is important for environmental, economic and social sustainability in businesses and can be applied in various industries. In this scientific article, main author´s aim is to examine the green digital transformation in a theoretical generalization, then in the context of the European Union and to examine the use of digital technologies in the field of sustainable development in selected companies in the world. We used explanatory general theoretical methods. In the literature review, we defined the main concepts related to digital transformation, mapped the digital transformation in the context of the European Union and highlighted the link between sustainability and digital technologies. Examples of the implementation of sustainable technologies in various companies and compliance with sustainability are found in the results of the work and discussion. At the end of the scientific article, we propose definitions: Green digital transformation is the implementation of digitalization and interaction of green technologies into business processes, activities, products and models, when the company becomes environmentally sustainable. Green technology represents the integration and subsequent use of digital technologies to innovate business processes and are used in the field of sustainable environmental development of the organization.

ЦИФРОВОЕ УПРАВЛЕНИЕ БИООТХОДАМИ В США

The article considers the experience of the United States in the management of garbage waste, including biosolids (BO) of animals. It provides an understanding of deposit and waste management processes as a timely example of the integration of science into the environmental and economic process and presents the policy of the US government in the field of spent biological waste management, as well as efforts at recycling through composting, disposal and other methods. A national strategy for converting BW into various types of energy and the cost-effectiveness of environmental measures is considered using the example of the USA, presented by such authors and researchers as Gasanov M. A., Kolotov K. A., Demidenko K. A., Podgornaya E. A., Kadnikova O. V. and others. At the end of 2015, 71 incinerators (MSZs) were operating in 20 US states, more than 20% of which are concentrated in the state of Florida. The installed capacity of power generation systems at such MSZs is 2.3 GW, which corresponds to < 1% of the installed capacity of US energy facilities. Almost all of the country's MSZs were built before 1995, and only one plant was commissioned in 2015 - West Palm Beach-2, with a capacity of 95 MW. According to the consulting and consulting company Frost & Sullivan, by 2020 the volume of the US digital transformation technology market in the field of biosolids management in monetary terms increased to $3.6 billion, compared to $3.3 billion in 2017. At the same time, the average annual growth rate of this market is expected to be 2.74% by 2030.

Using digital technologies in energy industry

Within the framework of one of the main directions of the implementation of the state program “Digital Kazakhstan”, the digitalization of the economic sectors is envisaged, the tasks of which include the construction and effective functioning of an intelligent energy system. The modern global economy is undergoing a cultural shift towards digital transformation, where the main processes are being transferred to digital businesses, which are providing technical optimization, new revenue streams and opportunities for creating value. The authors of the article consider the issues of introducing digital technologies into the activities of enterprises in the energy industry. It is noted that, despite the understanding of the relevance of digitalization, the digital maturity of industry enterprises is still insufficient, which increases the importance of combining industry enterprises in a consortium.This article substantiates the use of digital technologies in the energy sector to solve traditional problems: coverage of services of energy companies in all regions of the country, ensuring an uninterrupted and sufficient volume of energy supply services, reducing the price level and protecting the environment. The authors identified and substantiated the main factors of the digital transformation of energy systems: digitalization, decentralization and decarbonization. The article formulates the criteria for the transition of an enterprise to the digital status and notes its advantages. The article outlines the main digital transformation technologies and their application features: artificial intelligence, blockchain, Big Data and data management. It presents the facts of foreign practice of digitalization of the energy industry.

Public administration risks in the migration sphere in the context of digital transformation

The article considers the processes of digitalization of migration as a state policy aimed at improving the regulation of migration flows. The purpose of the study is to show the possibilities of digitalization of migration in Russia and at the international level, the positive aspects of this process and the main risks and threats arising during the implementation of digital technologies for making managerial decisions. The relevance of the study is associated with the necessity of introduction of digital technologies in the state management of migration processes. The paper reveals the concepts of digital transformation and the digital state. The authors note the difficulties that arise when trying to define digital technologies due to the unique and changeable social environment in which they are created. The study used systematic and comparative methods, content analysis of print and electronic media, analysis of scientific sources, which made it possible to study digital technologies as an object of state management of migration processes. According to the results of the analysis the paper concludes that digital transformation technology can influence the management of international migration in three different dimensions: 1) increase the gap between developed and developing countries; 2) contribute to the modernization of traditional methods used in the practices of international organizations; 3) influence the adoption of new, more informed management decisions in the field of migration to ensure border security. The authors reveal the main problems that developers of digital technologies and representatives of government bodies may face when mass implementing these technologies in migration practice. The conclusions of the article can be useful for interested government authorities involved in the regulation of migration processes.