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EN
The new challenges faced by companies in the 21st century require great flexibility and innovation. The fourth industrial revolution drives the development of the global market, and its solutions bring many benefits to companies, e.g. lowering operating costs, increasing the efficiency of information and inventory management, they also give the opportunity to quickly respond to changing customer needs. The study presents selected technologies used by European companies in the era of Industry 4.0 and the analysis of the current state in the context of the level of individual technologies in the EU countries. The analysis concerns large companies and the SME sector.
EN
The purpose of this article is to present a proposal for an expert’s model of managerial competencies in the era of the fourth industrial revolution, called Industry 4.0. This revolution results in the emergence of new competency requirements for employees at every organizational level. In the article, we focused on the requirements for Engineers 4.0, in connection with managerial competencies expected from them. In order to answer the research questions, we conducted expert research by referring to our previous studies. Findings: The conducted research allowed to develop an expert’s model of managerial competencies for Engineer 4.0 (EMMCE). The results of the study allowed to determine the scope of managerial competencies for an engineer in the age of Industry 4.0, thus contributing, in a practical scope, to the creation of requirements for candidates applying for a managerial position in manufacturing enterprises. The model makes it possible for educational and training entities to adapt their teaching programmes and training offer to the modern requirements of the industry.
EN
Research background: Industry 4.0 is a response to rapid technical progress, caused by the dominant role of information technology, which covers and penetrates virtually into all the aspects of people's economic and social activities. At present, the terms "Digital Supply Chain", "Supply Chain 4.0", "Digital logistics", and "Smart logistics" are widely used in business, and in particular, in the theory and practice of supply chain management (SCM). This demonstrates the relevance of the implementation of Industry 4.0 innovations into the practical activities of manufacturing, trading, and logistics companies, interconnected by networking in the process of delivering products or services to final consumers. In turn, this causes fundamental changes in the structure of supply chains, their business processes and behaviours, making existing approaches to management obsolete. Purpose of the article: The article aims at identifying supply chain development drivers under the conditions of "Industry 4.0"; determining the effect of DT in the cross-section of strategic and operational changes of supply chain; clarifying the readiness and capacity for DT implementation in the enterprises activity as exemplified by the enterprises operating in Ukraine in various fields of activity. Methods: Stratified proportional sampling was applied as the research method. Ukrainian enterprises of different size, involved in different supply chains, were considered as an object of research. The attitude of the Ukrainian enterprises to the DT implementation is presented, and the results are compared to the relevant research data in other countries. Findings & Value: This study will be valuable to both scientists and practitioners. Scientists will be able to understand the conceptual transformation of SC under the influence of DT. Practitioners will become aware of the following issues: current SCM trends and requirements; DT effects on the strategic and operational levels of the classical model of management; the level of readiness and ability of the Ukrainian enterprises to implement DT in their activities as compared to the enterprises in other countries.
PL
Celem badań, których wyniki zamieszczono w tym artykule, jest wskazanie możliwych kierunków zmian w procesach produkcji w sektorze producentów mebli, które mogą zajść pod wpływem Industry 4.0. Metodami badawczymi wykorzystanymi w badaniach są: krytyczny przegląd literatury, studium przypadku wybranej firmy sektora producentów mebli uzupełnione o badanie ankietowe. Uzyskane wyniki wskazują na wpływ Industry 4.0 na przedsiębiorstwa z polskiego sektora produkcji mebli, który widoczny jest w dążeniu tych przedsiębiorstw do modernizacji procesów produkcji. Szczególnie istotnym kierunkiem zmian jest wprowadzanie systemów zintegrowanych przetwarzających dane w czasie rzeczywistym, które pozwalają na kastomizację produkcji przy jednoczesnym zachowaniu założenia masowości. Uzyskane wyniki poszerzą wiedzę w zakresie stosowania technologii 4.0 w obszarach prostych technologii i w sektorach o niskim poziomie innowacji, czyli w sektorach tradycyjnie niepodatnych na rewolucyjne zmiany wywoływane użyciem nowych technologii w zarządzaniu produkcją.
EN
The aim of the article is to outline potential directions of changes in production processes in furniture manufacturing that may occur under the impact of Industry 4.0. The research methods used as part of the study include a critical literature review, nd a case study of a selected company operating in the furniture manufacturing sector supplemented with a survey. The results obtained indicate the impact of Industry 4.0 on enterprises operating in this sector, which is visible in their efforts aimed at modernizing their production processes. A particularly important direction of the changes involves the implementation of integrated systems, processing data in real time, which allows for customizing the manufacturing while meeting the requirements of mass production. The results obtained broaden the knowledge of the application of 4.0 technologies in areas that involve the use of simple technologies, including industries with low levels of innovation, i.e. in sectors traditionally not susceptible to revolutionary changes brought about by new production management technologies.
EN
The article presents a business model based on an industrial network of companies capable of producing personalized products in an Industry 4.0 environment. Based on research conducted in Poland, in manufacturing companies, the critical problems associated with the implementation of Industry 4.0 technologies and the expected benefits associated with their implementation are addressed. The model’s task is to integrate a customer expecting personalized production with a network of companies with the appropriate production resources. The original achievement is the integration of the customer and the manufacturer around an e-business platform, which allows the rapid prototyping of a network of SME companies capable of realizing personalized production. The proposed model describes the architecture of enterprise cooperation under the conditions of implementing the Industry 4.0 concept and is dedicated to the SME sector. The model provides a basis for building prototypes of e-business platforms of small and medium-sized enterprises.
EN
Research background: Small and medium-sized businesses are significant economic power and employer in the European Union. The modern globalized world, new technologies, and advanced connectivity bring SMEs a wide range of opportunities, but also threats. Increasing the stability and competitiveness of SMEs is one of the main goals of national governments and the EU. The research is based on personal research in SMEs, its experiences and backward testing of reached results. Purpose of the article: The aim of the paper is to analyze the possibilities the potential of using controlling as a managing tool of SMEs for increased competitiveness in the context of Industry 4.0  with an emphasis on innovations. Methods: The study is based on a detailed analysis of 341 SMEs from the Czech Republic obtained in the years 2017?2019. The data were analyzed using statistical methods such Pearson correlation, stepwise regression for the purpose of determining the relationship between the controlling management system of a company, its innovation potential, level of process maturity, number of employees, internal audit, financial stability and strategic plan. Statistical analysis confirmed the close relationship of the analyzed variables and backwards experimental testing of the statistical analysis conclusions defined critical factors in the area of people in an organization, usage of advanced information systems and Industry 4.0 technologies implementation. Findings & Value added: Those important areas were determined as essential for the successful development of SMEs, as well as the most significant threats in the Industry 4.0 environment. The information obtained is useful in practice and can be applied to a more in-depth analysis of the issues.  The research findings are showing possible opportunities and treads for SMEs long term stability and development as well as ways to increase enterprise performance based on controlling management system.
EN
Leadership research is an essential part of all areas of organisational science worldwide, and there is still a lack of studies in this research area. The paper aims to determine leadership competency perceptions and their sub-competencies characteristics and determinants in the fourth industrial revolution era. The research survey, conducted in 2018-2021, covered a sample of 100 respondents from organisations from the Czech Republic. The most important competencies for leadership are effective communication, innovation, cooperation, creativity, solving problems, lifelong learning, Information and Communication Technology (ICT) and motivation and support of others. We selected statistical methods ANOVA and linear regression for the characteristics of the respondents and the cluster analysis for the leaders’ 4.0 types determination. The linear regression results showed that age, the field of education, position in the organisation and tenure in the organisation of the respondents affect their assessment of the level of leadership competency. We identified three management types that are currently facing the challenges of Industry 4.0: ICT-oriented Junior Managers, Top 4.0 Prepared Leaders, and Non-Creative Unmotivated Senior Directors. The contribution of this paper is the in-depth study in the area of perceived levels of partial competencies for leadership for different criteria of respondents.
11
70%
EN
The article aims to identify the characteristics and traits of management accountants operating in a smart environment. As technology and digital transformation reshape the business landscape, management accountants are critical in navigating this new terrain. Our approach is based on the theory of change (ToC), which provides a framework for understanding the changes in business practices and management accounting necessitated by the emergence of smart technologies. To develop our conceptual model, we extensively reviewed the literature, examining both theoretical and empirical studies to identify the emerging competencies required of management accountants in this context. We build a conceptual SMART management accounting model whose components are (S) Strategic, (M) Meaningful, (A) Agile, (R) Resilient, and (T) Transparent. Each component represents a set of specific attributes and characteristics that management accountants should possess to thrive in a smart environment.
EN
The article discusses problems connected with the perspective of social and cultural changes that result from the development of industry 4.0 and the formation of digital society. New relations between humanity and technology as well as the growing role of technical determinism lead to new demands regarding human subjectivity. In the article, the aforementioned demands are analysed in the context of questions concerning freedom ,trust in both technology and other people, as well as responsibility and the need for developing co-responsibility in various areas of contemporary human interaction.
EN
This work concerns automation of the training process, using modern information technologies, including virtual reality (VR). The starting point is an observation that automotive and aerospace industries require effective methods of preparation of engineering personnel. In this context, the technological process of preparing operations of a CNC numerical machine has been extracted. On this basis, a dedicated virtual reality environment, simulating manufacturing of a selected aircraft landing gear component, was created. For a comprehensive analysis of the pros and cons of the proposed approach, four forms of training, involving a physical CNC machine, a physical simulator, a software simulator, and the developed VR environment were instantiated. The features of each training form were analysed in terms of their potential for industrial applications. A survey, using the Net Promoter Score method, was also conducted among a target group of engineers, regarding the potential of use of each training form. As a result, the advantages and disadvantages of all four training forms were captured. They can be used as criteria for selecting the most effective training form.
EN
The fourth industrial revolution is bringing numerous ground-breaking digital technologies, whose broader application will cause significant changes in the manners and organisation of production, in accordance with the 4.0 industry concept. On the one hand, it will allow entrepreneurs to achieve competitive advantage on the globalised markets, and on the other hand – it will allow for meeting the needs of clients in a better way. Attempts of Polish entrepreneurs to achieve the 4.0 industry standards – for example due to the low level of production automation and robotization and financial barriers of investments in the field of advanced technologies – may turn out a very complex process in the national reality, which will call for the State’s support.
EN
Human capital is the factor most often mentioned, next to knowledge and innovation, that allows gaining a market advantage in modern economies. This concept is defined as a derivative of education, acquired qualifications, and practical skills. The currently observed dynamic development of advanced technologies requires the inclusion of high-quality human capital in this process. The study aims to assess the potential of human capital as a condition for the development of Industry 4.0. The research included indicators concerning the share of employment in the high-technology industry and knowledge-based services, the share of employment in the high and medium-high technology industry, and analysed the share of people with higher education in these types of industries. The study covered the Member States of the European Union. The time scope of the research covers the years 2013 and 2018. The analysis was based on statistical information from the Eurostat database.
PL
W nowoczesnych gospodarkach kapitał ludzki to najczęściej wymieniany, obok wiedzy i innowacji, czynnik pozwalający na osiągnięcie przewagi rynkowej. Pojęcie to określane jest jako pochodna wykształcenia, zdobytych kwalifikacji oraz praktycznych umiejętności. Obserwowany obecnie dynamiczny rozwój zaawansowanych technologii wymaga włączenia w ten proces wysokiej jakości kapitału ludzkiego. Celem opracowania jest ocena potencjału kapitału ludzkiego jako uwarunkowania rozwoju Przemysłu 4.0. W badaniach uwzględniono wskaźniki dotyczące udziału zatrudnienia w przemyśle wysokich technologii i usług opartych na wiedzy, udziału zatrudnienia w przemyśle wysokich i średniowysokich technologii oraz przeanalizowano udział osób z wyższym wykształceniem w przedmiotowych rodzajach przemysłu. Badaniem zostały objęte kraje członkowskie Unii Europejskiej. Zakres czasowy badań obejmuje lata 2013 i 2018. Analizę przeprowadzono na podstawie informacji statystycznych pochodzących z bazy danych Eurostat.
EN
The paper discusses the changes occurring in the steel industry and related markets as they move towards Industry 4.0. With significant investments in new technologies, steel mills are creating a smart environment for cooperation between producers, distributors, and consumers of steel products. The influence of Industry 4.0 within mills is being transferred to other participants in the steel product chains, and vice versa. The research aimed to determine the impact of Industry 4.0 technologies on the steel product chains in the Polish steel market. The research was conducted in Poland. The obtained database comprised 208 respondents (company executives), including steel mills and steel product manufacturers. Technologies (the pillars of Industry 4.0) are grouped into five technological fields: automation and robotics; warehouse automation; Computer systems, systems integration, mobile technologies, Big Data and IIoT, Blockchain and cybersecurity. Analysis was realized in the three respondent segments representing the steel chain in Poland [RSs]: Producer [P], Distributor [D], and Consumer [C]. The results of the research can help companies improve their steel product chains. The study takes a value chain approach, considering steel production, distribution of steel products, and services for orders and consumers of steel and steel products.
17
Content available Guiding Digital Transformation in SMEs
60%
EN
The rapid development of digital technologies have created unprecedented opportunities for the industrial world. Enterprises, especially small and medium sized companies, struggle to successfully implement these technologies, and there is scant literature to support this endeavor. The authors hypothesize that ERP (Enterprise Resource Management) implementation, being a mature field, can guide digital technology implementation, taking into considerations the similarities. A systematic literature review was conducted to determine the critical success factors (CSF) of ERP implementation in SMEs that were used to derive guidelines for digital technology implementation case study. The results of the case study is another list of CSF that more correctly mirror the digital technology implementation needs. They are: “digitalization strategic plan”; “project sponsor/leader”; “commitment to the workplace”; “involvement of top management”; “reasonable project scope”; “compatibility with existing processes/systems”; “progressing with small steps”; “use of correct competencies”; and “involving the users”.
EN
The manufacturing industry has been reshaping its operations using digital technologies for a smart production towards a more customized demand. Nevertheless, the flexibility to attend the production plan changes in real time is still challenging. Although the Internet of Services (IoS) has been addressed as a key element for Industry 4.0, there is still a lack of clarity about the IoS contribution for advanced manufacturing. Through a case study, the paper aims to validate the adherence of a theoretical model named Service-Oriented Manufacturing Architecture (SOMA) in two manufacturing companies that have been already engaged in Industry 4.0. As main results, it was concluded that IoS could suit in one case of Industry 4.0 flexible production process but not in a mass production one. Considering the scarcity of research that exemplifies the IoS contribution, the present paper brings an important assessment on a real manufacturing scenario.
EN
Artificial Intelligence (AI) supports project management in industry projects increasingly more often. The article documents research results regarding the use of AI in Industry 4.0 projects. The aim of the article is to define the range of AI use in Industry 4.0 projects throughout their entire life cycle and to indentify the main stages of AI development in project management. Additionally, the article indicates the main barriers to AI use in project management identified in the studied projects. In order to identify and systemise the range of AI use, the Conceptual Framework of Using AI in Project Management presented in literature is applied. Research results indicate that we are in the early stages of AI use in projects. The studied projects use AI mainly in project administration, i.e. to complete the following tasks: simple automation of routine activities, support, and, to a very limited extent, in the area of project management, i.e. in identifying anomalies and predicting the phenomena where the anomalies will occur. The research uses the case study method, where four projects were studied: an ERP system upgrade, an implementation of an IT system supporting high-bay warehouse management, an implementation of an IoT as a data-collection sensor platform and an E-learning platform implementation. The study was conducted between 2019 and 2021, and covered the entire project life cycle, including its three stages, i.e. preparation, implementation and operation.
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