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 DIGITAL TRANSFORMATION OF LOGISTICS BUSINESS PROCESSES IN THE AIR TRANSPORT MARKET

2021 ◽  
pp. 49-56
Author(s):  
Kharchenko M. ◽  
Tsymbalistova O. ◽  
Chernikhova O.
Keyword(s):  
Virtual Reality ◽  
Big Data ◽  
Internet Of Things ◽  
Business Processes ◽  
Digital Technologies ◽  
Digital Transformation ◽  
Cloud Services ◽  
Transport Infrastructure ◽  
Logistics Management ◽  
Aviation Industry

The article is devoted to the article investigates scientific approaches to the digital transformation of logistics processes of aviation enterprises, analyzes the main tools for implementing innovative business models in the international and domestic practice of airlines. It is proved that the implementation of digital technologies in the system of business processes of aviation en-terprises affects the resulting performance indicators in general and the transformation of individual logistics business processes. An important aspect of the digital transformation of the aviation services sector is the adaptation of key business processes to ensure the flexibility of the business and its adaptation to changes in the global market. The directions of digital transformation of business processes of aviation enterprises are determined, including digitalization of processes of air movement (logistics) of passenger flows and cargoes, maintenance of aircraft, repair and restoration works, digitalization of commercial activity of airports, support and support of pilots and ground staff. The study examines the most common digital technologies that have become widespread in the logistics management process of the aviation company. Among them are biometric technologies, solutions based on blockchain technology (in order to save passenger data, flight information and financial transactions), VR (augmented reality) and AR (virtual reality), model­based engineering technologies, cloud services, technologies for processing and analysis of "big data", automation systems, 3D modeling technology, the Internet of Things, etc. Based on the analysis, the risk factors for the introduction of digital technologies in the system of logistics business processes of aviation enterprises are identified and structured. The main obstacles are: the insufficient high level of development of digital infrastructure in the field of logistics management, weak intersectoral coordination of activities to ensure the development of digital transport infrastructure, low demand for innovation in the domestic market and high competitiveness among aviation companies in international markets. Airlines, the difficulty of determining the effectiveness of digital technologies in the aviation industry. The directions and tenden-cies of digital transformation of logistic business processes of aviation enterprises in the conditions of turbulence and instability of the external environment are substantiated.Keywords: digitalization, business processes, digitalization, aviation, logistics flows, blockchain, cloud services, virtual reality, big data, Internet of Things, artificial intelligence. Статтю присвячено дослідженню трансформації бізнес­процесів авіаційної галузі та охоплює технологічні та організаційні аспекти, спрямовані на підвищення операційної ефективності роботи авіакомпаній, збільшення їх вартості, гнучкості та оптимізації показників безпеки. Доведено, що цифровізація логістичних бізнес­процесів авіакомпаній є важливим чин-ником підвищення їхньої конкурентоспроможності на міжнародних ринках. Охарактеризовано досвід провідних авіакомпаній щодо запровадження прогресивних технологій управління логістичними бізнес­процесами. Досліджено прогресивні технології, що впливають на розвиток ринку авіаперевезень: технології доповненої реальності, комп’ютерне проєктування, 3D­моделювання, хмарні сервіси, технології Internet of Things тощо. Виявлено перешкоди для цифрової трансфор-мації логістичних бізнес­процесів в індустрії авіаційних перевезень та сформовано тенденції цифрової трансформації національної авіаційної галузі.Ключові слова: цифровізація, бізнес­процеси, діджиталізація, авіація, логістичні потоки, блокчейн, хмарні сервіси, віртуальна реальність, «великі дані», Інтернет речей, штучний інтелект.

scholarly journals DIGITAL TRANSFORMATIONS IN THE CONDITIONS OF INDUSTRY 4.0 DEVELOPMENT

2021 ◽  
Vol 3 (38) ◽  
pp. 420-426
Author(s):  
O. Savytska ◽  
V. Salabai
Keyword(s):  
Industry 4.0 ◽  
Business Models ◽  
Business Processes ◽  
Industrial Revolution ◽  
Digital Technologies ◽  
Digital Transformation ◽  
Cloud Services ◽  
Gradual Transition ◽  
Business Entities ◽  
Definition Of

Abstract. The article considers and analyzes the importance and main scientific approaches to determining the essence of digital transformation in the conditions of Industry 4.0 development. The opinions of domestic and foreign scientists on the definition of the essence of this concept are presented and it is determined that digitalization has an important role in the activities of modern enterprises. The definition of «digitalization» is proposed, that means the process of transition to digital business, which is the use of digital technologies to change business processes in the company and provide new opportunities for additional income and development prospects of business entities. It is determined that digitalization is a very popular and necessary process of transition to new business models in the activities of companies. The essence of the category «Industry 4.0» is considered and the main technologies and tools that contribute to the gradual transition to digitalization are presented. It is noted that Industry 4.0 is part and a leading trend of the Fourth Industrial Revolution. It is investigated that the transition to Industry 4.0 using digital tools is quite a trend, as these key technologies such as IoT, Big Data, cloud services, artificial intelligence today play a key role in the process of digitalization of companies. The main recommendations for adapting the business to digital transformations are given. The key directions of the development of digital technologies of Industry 4.0 are considered and presented. The industries that need digital transformation and those areas of business that are actively implementing digital products in their activities are identified. It was also found that the use of digitalization processes allows companies to optimize existing business models, gain new opportunities for business development, expand the scope of activities, and have tools to increase their efficiency and competitiveness. Keywords: digital transformation, digitalization­, digital technologies, Industry 4.0. JEL Classification O39, O33 Formulas: 0; tabl.: 1; fig.: 2; bibl.: 16.

scholarly journals 3D DNA structural barcode copying and random access

2020 ◽  
Author(s):  
Filip Bošković ◽  
Alexander Ohmann ◽  
Ulrich F. Keyser ◽  
Kaikai Chen
Keyword(s):  
Data Storage ◽  
Single Molecule ◽  
Self Assembly ◽  
Large Scale ◽  
Three Dimensional ◽  
Random Access ◽  
Scale Production ◽  
Digital Information ◽  
Dna Nanostructures ◽  
Large Scale Production

AbstractThree-dimensional (3D) DNA nanostructures built via DNA self-assembly have established recent applications in multiplexed biosensing and storing digital information. However, a key challenge is that 3D DNA structures are not easily copied which is of vital importance for their large-scale production and for access to desired molecules by target-specific amplification. Here, we build 3D DNA structural barcodes and demonstrate the copying and random access of the barcodes from a library of molecules using a modified polymerase chain reaction (PCR). The 3D barcodes were assembled by annealing a single-stranded DNA scaffold with complementary short oligonucleotides containing 3D protrusions at defined locations. DNA nicks in these structures are ligated to facilitate barcode copying using PCR. To randomly access a target from a library of barcodes, we employ a non-complementary end in the DNA construct that serves as a barcode-specific primer template. Readout of the 3D DNA structural barcodes was performed with nanopore measurements. Our study provides a roadmap for convenient production of large quantities of self-assembled 3D DNA nanostructures. In addition, this strategy offers access to specific targets, a crucial capability for multiplexed single-molecule sensing and for DNA data storage.

scholarly journals The “Smart Work” Myth: How Bureaucratic Inertia and Workplace Culture Stymied Digital Transformation in the Relocation of South Korea’s Capital

2021 ◽  
Author(s):  
JY Hur ◽  
Wonhyuk Cho ◽  
G Lee ◽  
Sarah Bickerton
Keyword(s):  
Large Scale ◽  
Business Processes ◽  
New Technologies ◽  
Central Government ◽  
Digital Transformation ◽  
Capital City ◽  
Digital Government ◽  
Face To Face ◽  
Work Routines ◽  
Traditional Work

© 2019, © 2019 Asian Studies Association of Australia. Starting in 2012, the South Korean government has implemented a large-scale relocation of its central government agencies, which are now split between the existing capital city (Seoul) and a new administrative-capital city (Sejong). One of the most controversial aspects of the relocation has been the bureaucratic inefficiency caused by its split nature. ICT-enabled solutions, dubbed “Smart Work”, were adopted to deal with this challenge, but have not been effective in avoiding inefficiency. In this article, we argue that different forms of organisational inertia created resistance to switching from traditional work routines to Smart Work’s ICT-assisted equivalents. Various forms of inertia–psychological (anxiety around learning new technologies), cognitive (culture/norms in face-to-face work routines), technological (stickiness of pre-existing IT system), political (continued influence from elected officials), and resource allocation (success bias from previous digital government projects)–significantly influenced public managers’ work practices in Sejong. These types of inertia, we argue, have reinforced face-to-face communication rather than digital communication, on-site visits rather than video-conferencing, and fixed-time work rather than flex-work. Our findings challenge dominant views from functionalist models of digital transformation and emphasise the importance of cultural congruency between workplace norms and technophilic business processes.

scholarly journals E-Leadership: The Implication of Digital Transformation for Leadership in Organizations in Africa

2020 ◽  
Author(s):  
Fetnani Cecilia
Keyword(s):  
South African ◽  
Large Scale ◽  
Business Processes ◽  
Digital Technologies ◽  
Structuration Theory ◽  
Leadership Competencies ◽  
Digital Transformation ◽  
Scale Transformation ◽  
Network Systems ◽  
Case Study Methodology

The paper discusses electronic leadership (e-leadership) competencies that would ensure organizational competitiveness in the digital transformation of an organisation or a unit of an organisation. Like any other large-scale transformation of a business that has high failure rates, digital transformation can fail and it is failing in organisations in Africa; making them bankrupt requiring business rescue or taking them completely out of business. Digital transformation is considered as the process of using digital technologies (integrating cyber-physical systems (CPS) i.e., (intelligent network systems) and business processes) to create and improve production, sustain customer experiences; thus, the use of digital technologies to integrate business process, office automation, industrial process and factory automation to transform business. It is therefore argued that most African organizations are currently faced with the critical challenge of determining the pre- convergence and convergence of technologies, their alignment with strategy and their integration with business processes and systems to build digital business infrastructure for competitiveness. The concept of enactment of technology-in-practice derived from Adaptive Structuration Theory was used as a lens through which to understand and interpret the implications of the digital transformation on leadership competencies to derive e-leadership profile to lead African businesses in the digital age. As such the objective of this paper is to determine the competencies of e-leadership to lead digital transformation agenda of an organization in a highly and digitally competitive marketplace. It is a qualitative study, using an interpretative paradigm in a case study methodology where semi- structured interviews were used to collect data from each unit of analysis representing specific South African based businesses. The selected Cases in South African were extensively investigated. The enactment of e-leadership derived from AST is proposed to lead digital transformation. The implication is that the deployment of e-leadership in an organization has a potential to yield benefits such as the creation of higher organisational flexibility, empowerment of staff and strategic/competitive advantages for the organization. This paper proposes that having effective e-leaders in an organisation would lead to adequate appropriation of digital technologies to digitally transform an organisation.

scholarly journals CLOUD TECHNOLOGIES IN BUSINESS MANAGEMENT

2021 ◽  
Vol 4 (39) ◽  
pp. 294-301
Author(s):  
V. Gevko ◽  
O. Vivchar ◽  
V. Sharko ◽  
О. Radchenko ◽  
M. Budiaiev ◽  
...  
Keyword(s):  
Business Processes ◽  
Service Providers ◽  
De Novo ◽  
Cloud Service ◽  
Jel Classification ◽  
Digital Transformation ◽  
Cloud Services ◽  
Modern World ◽  
High Tech ◽  
Cloud Technologies

Abstract. The modern world is in the phase of active implementation of digitalization of most processes, including cloud technologies, which is also associated with the introduction of quarantine measures in most countries. Over the past decade, the average annual growth of the cloud services market has expanded by about 50% to more than $ 220 billion. This figure is projected to exceed $ 500 billion in the near future. Currently, a large number of cloud service companies are concentrated in the market. All companies can be classified into national, operating within one country, and international, operating in many countries simultaneously. In Ukraine, the leader is the high-tech company De Novo, which provides services in the segment of corporate clients based on VMware, EMC, Microsoft Azure solutions. Competitors are well-known foreign IT giants, namely: Oracle, IBM, Google, Microsoft, Amazon, HP and others. The Ministry of Digital Transformation of Ukraine plays an important role in this area. The latter signed an agreement with Microsoft to implement the Azure Expansion Program and accelerate Ukraine's digital transformation, including the development of Azure cloud services for the sum of more than $ 500 million. The transition from physical, outdated IT technologies to new cloud services will allow companies to significantly reduce the cost of maintaining their own staff of IT professionals and engineers, reduce dependence on IT equipment suppliers and increase productivity and efficiency of the decisions made. The management of the enterprise can choose one of the offered models from the companies-providers: IaaS, PaaS, SaaS. The choice will depend on the immediate management needs and financial capabilities of the enterprise. In Ukraine, the biggest share of users of cloud services belongs to large utility companies and state enterprises, namely: Dija, Ministry of Internal Affairs, Kyiv Municipal Enterprise "Informatics", Prozorro, Ukrposhta, E-Health (National Health Center of Ukraine), Naftogaz and several other organizations. Thus, the introduction of cloud services involves digital business transformations, namely: optimization of business processes, acceleration of innovation, cost reduction and so on. Key words: IT technologies, cloud technologies, cloud service providers, management, business. JEL Classification L86, M15 Formulas: 0; fig.: 1; tabl.: 2; bibl.: 21.

scholarly journals Towards Distributed Data Management in Fog Computing

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Vasileios Moysiadis ◽  
Panagiotis Sarigiannidis ◽  
Ioannis Moscholios
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Large Scale ◽  
Fog Computing ◽  
Cloud Services ◽  
Smart Devices ◽  
Distributed Data ◽  
Storage Allocation ◽  
Huge Amount ◽  
Distributed Data Storage

In the emerging area of the Internet of Things (IoT), the exponential growth of the number of smart devices leads to a growing need for efficient data storage mechanisms. Cloud Computing was an efficient solution so far to store and manipulate such huge amount of data. However, in the next years it is expected that Cloud Computing will be unable to handle the huge amount of the IoT devices efficiently due to bandwidth limitations. An arising technology which promises to overwhelm many drawbacks in large-scale networks in IoT is Fog Computing. Fog Computing provides high-quality Cloud services in the physical proximity of mobile users. Computational power and storage capacity could be offered from the Fog, with low latency and high bandwidth. This survey discusses the main features of Fog Computing, introduces representative simulators and tools, highlights the benefits of Fog Computing in line with the applications of large-scale IoT networks, and identifies various aspects of issues we may encounter when designing and implementing social IoT systems in the context of the Fog Computing paradigm. The rationale behind this work lies in the data storage discussion which is performed by taking into account the importance of storage capabilities in modern Fog Computing systems. In addition, we provide a comprehensive comparison among previously developed distributed data storage systems which consist of a promising solution for data storage allocation in Fog Computing.

scholarly journals Trustworthy data-driven networked production for customer-centric plants

2017 ◽  
Vol 117 (10) ◽  
pp. 2305-2324 ◽  
Author(s):  
Davy Preuveneers ◽  
Wouter Joosen ◽  
Elisabeth Ilie-Zudor
Keyword(s):  
Cyber Security ◽  
Industry 4.0 ◽  
Business Processes ◽  
Trust Model ◽  
Cloud Services ◽  
Performance Study ◽  
Manufacturing Enterprise ◽  
Content Type ◽  
Manufacturing Enterprises ◽  
Security Challenges

Purpose Industry 4.0 envisions a future of networked production where interconnected machines and business processes running in the cloud will communicate with one another to optimize production and enable more efficient and sustainable individualized/mass manufacturing. However, the openness and process transparency of networked production in hyperconnected manufacturing enterprises pose severe cyber-security threats and information security challenges that need to be dealt with. The paper aims to discuss these issues. Design/methodology/approach This paper presents a distributed trust model and middleware for collaborative and decentralized access control to guarantee data transparency, integrity, authenticity and authorization of dataflow-oriented Industry 4.0 processes. Findings The results of a performance study indicate that private blockchains are capable of securing IoT-enabled dataflow-oriented networked production processes across the trust boundaries of the Industry 4.0 manufacturing enterprise. Originality/value This paper contributes a decentralized identity and relationship management for users, sensors, actuators, gateways and cloud services to support processes that cross the trust boundaries of the manufacturing enterprise, while offering protection against malicious adversaries gaining unauthorized access to systems, services and information.

scholarly journals Optimizing Workflow Data Footprint

2007 ◽  
Vol 15 (4) ◽  
pp. 249-268 ◽  
Author(s):  
Gurmeet Singh ◽  
Karan Vahi ◽  
Arun Ramakrishnan ◽  
Gaurang Mehta ◽  
Ewa Deelman ◽  
...  
Keyword(s):  
Data Storage ◽  
Large Scale ◽  
Open Science ◽  
Scale Production ◽  
Distributed Resources ◽  
Data Intensive ◽  
Large Scale Production ◽  
Data Files ◽  
The Cost ◽  
Open Science Grid

In this paper we examine the issue of optimizing disk usage and scheduling large-scale scientific workflows onto distributed resources where the workflows are data-intensive, requiring large amounts of data storage, and the resources have limited storage resources. Our approach is two-fold: we minimize the amount of space a workflow requires during execution by removing data files at runtime when they are no longer needed and we demonstrate that workflows may have to be restructured to reduce the overall data footprint of the workflow. We show the results of our data management and workflow restructuring solutions using a Laser Interferometer Gravitational-Wave Observatory (LIGO) application and an astronomy application, Montage, running on a large-scale production grid-the Open Science Grid. We show that although reducing the data footprint of Montage by 48% can be achieved with dynamic data cleanup techniques, LIGO Scientific Collaboration workflows require additional restructuring to achieve a 56% reduction in data space usage. We also examine the cost of the workflow restructuring in terms of the application's runtime.

scholarly journals A Framework for Implementing Prediction Algorithm over Cloud Data as a Procedure for Cloud Data Mining

2021 ◽  
Vol 2 (2) ◽  
pp. 1-8
Author(s):  
Safwan A. S. Al-Shaibani ◽  
Keyword(s):  
Data Storage ◽  
Model Building ◽  
Cloud Services ◽  
Prediction Algorithm ◽  
Easy Access ◽  
Cloud Platform ◽  
Recent Past ◽  
Cloud Data ◽  
Platform As A Service ◽  
Post Surgery

The cloud has become an important phrase in data storage for many reasons. Cloud services and applications are widespread in many industries including healthcare due to easy access. The limitless quantity of data available on the clouds has triggered the interest of many researchers in the recent past. It has forced us to deploy machine learning for analyzing the data to get insights as well as model building. In this paper, we have built a service on Heroku Cloud which is a cloud platform as a service (PaaS) and has 15 thousand records with 25 features. The data belongs to healthcare and is related to post-surgery complications. The boost prediction algorithm was applied for analysis and implementation was done in python. The results helped us to determine and tune some of the hyperparameters which have correlations with complications and the reported accuracy of training and testing was found to be 91% and 88% respectively.

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