New technologies of Industry 4.0, their measurement and research tools are named; the consequences and risks for society, the state and people are defined. Peculiarities of modern management of intellectual personnel are studied. The motivation of the work of the intellectual staff is substantiated. The importance of the involvement of intellectual personnel in the company has been proven.
Social media, being used by billions of people around the globe have a significant impact on the field of big data. The proliferation of social platforms has resulted in a deluge of unstructured data in the form of user-generated content, including text, video, audio, and web pages. This data, while rich in information, poses significant challenges for traditional data processing tools, which are primarily designed to handle structured data. Processing unstructured data requires specialized tools and techniques, such as natural language processing (NLP) and artificial intelligence (AI). One solution for processing this type of data is the IDOL tool, which can not only collect data from social media, but can also process it with the help of artificial intelligence. With its support one can extract trends, dynamic patterns or relationships to improve business decision-making. In the current paper, a new approach for processing unstructured data from social media is proposed, which involves collaboration and integration of different software products.
The research problem refers to the consequences of the 3rd industrial, digital, revolution on society and individuals and their (consumer) identity: digital intergenerational gap, technological dependence, technological influence on the behavior and (consumer) identity of individuals and the authoritarian (demotivational) effects of contemporary consumerism. The research subject is the influence of “high-tech culture” [21] on society and individuals and their (consumer) identity. The main hypothesis is that the impact of digital civilization and culture on society and individuals and their (consumer) identity is ambivalent (de/-humanistic). The scientific goals are: 1) description of the polyvalent impact of digital civilization and culture and computer communication, as well as technological accessories for communication; 2) understanding the digital generation gap and the analogy between (virtual) social groups: “digital natives” and “digital immigrants” [21] and “netocrats and consumtary” [8], as contemporary consumers; 3) scientific explanation of the authoritarian and emancipatory effects of high-tech culture and consumerism on contemporary consumers; 4) scientific prediction of new, digital, slave ownership, as a consequence of the development of robotics within the framework of the 4th industrial revolution. The social goals are: expanding knowledge about digital civilization and culture and 2) pragmatic explanation of the dis-/functional consequences of the 3rd and 4th industrial revolution. Desk research [9; 5] is used as a method of collecting and analyzing data from previous research, along with methods of observation, deduction, induction, abstraction, concretization and synthesis. Results are achieved goals.
Digitalization of public services is a key component in the development of e-government. Citizens’ opinion, needs and overall satisfaction with the provided services are key to the successful implementation of digital transformation across the government sector. Hence, for policy makers it is highly important to develop efficient methods for analyzing public opinion. The main aim of this paper is to use unconventional apparatus to mine public opinion in the Bulgarian government sector. The proposed approach relies on the application of natural language processing and text mining techniques. The study aims at discovering the sentiments and emotions freely expressed by citizens in popular social media websites in Bulgaria. Several topics of public interest are analyzed and insights on public perception of aspects of Bulgarian e-government are derived. Furthermore, benefits and limitations of using sentiment lexicons for mining public opinion are outlined.
Public procurement has acquired new dimensions in recent decades, going beyond the elementary satisfaction of certain needs. Public procurement connect to public policies through its horizontal nature. In present study, public procurement is perceived as an important demand-side policy instrument that can effect both the speed and the direction of economic development. A key argument supporting the view of public procurement as an important policy instrument is that they accounts for about 14% of EU GDP. At the same time, governments frequently overlook procurement as a policy instrument (and demand-side tools in general). The study of public procurement as a policy instrument, given their proven market effect, merits further analysis. Hereof, this research is focused on exploring strategic procurement approaches for economic development. Actually, through public procurement, governments can contribute to the development of growth-generating economy sectors in the role as an important lead consumer by setting standards and exacting superior performance.
In today’s globalized world, digital mechanisms are rapidly working through the inner layers of the economy, influencing and attracting those who shape, regulate, drive and manage the economy. The main approach here is the active application of new technologies – digital mechanisms, in the processes taking place in any sphere of the economy, including health care. Rapid advances in technology have necessitated the creation and implementation of new models for delivering quality primary care services. The COVID-19 pandemic has also highlighted the need for innovative digital solutions in health care. For these reasons, the formation of integrated models based on the application of new technologies in the context of the digital transformation of health systems is a guarantee for the delivery of quality primary health care services. The article examines the content and possibilities of digitalization of primary health care services, health technologies and areas of application, focusing on new technological opportunities, and the effectiveness of digital health services.
Wind, water, earth and fire, according to ancient philosophy, are the basic elements of the entire cosmos, with the help of which the existence of all things on planet earth is realized. Three (wind, water and earth) of these four basic elements represent renewable energy sources (RES), and in that sense also sources of green energy (GE). While the world, especially in the most developed countries of the world, has advanced far in the application of various forms of green energy, in Georgia this field is in its infancy and it cannot be predicted when the first major positive developments in this field will be made. The paper provides a basic division of sources (forms) of energy, taking into account the possibility of depletion over time, as well as examples of efficient application of hybrid green energy systems, for converting energy, primarily wind and sun, into electrical energy. Thus, the development and application of hybrid green energy systems, from a scientific and industrial point of view, will be one of the main goals in the future.
The objective of the paper is to analyze pros and cons of different generations from the point of view of their readiness to satisfy the required labor skills criteria for the Industry 4.0 workforce and willingness to participate in the process of upcoming transformation. The basic conclusion is that today´s coexistence of different generations should be transformed into an active and efficient collaboration. In many organizations teams consisting of workers belonging to different generations will be working and in these teams older (or even middle-aged ) colleagues should share their professional know-how and practical experience with younger colleagues and younger members should use their digital capabilities to achieve common objectives of the organization.
Nowadays, sophisticated models and approaches are used in the field of Malware classification or detection. Modern trends propose the use of black-box kind of models like Deep learning or Neural networks, thus, often, the results are not human-interpretable. In this paper we focus on the well-known EMBER dataset with the focus on interpretable models like Decision trees and Decision tables. We were able to generate interpretable classification trees, which can serve in conjunction with the concept-learning or as a support for ontology creation.
A recent challenge towards accounting education that is expected to amplify its transformation in a span of a decade is the sustainability reporting which has already started to reshape the corporate reporting landscape. As a result of its standardisation, a recently emerged trend that currently dominates the development of the sustainability reporting, the companies are forced to enhance disclosures about their environmental and social impact. This will increase the requirements of employers in regards of the core skills and competences of the future accountants. In light of this new trend that continues to reshape the future of the accounting education along with the Fourth industrial revolution, this paper aims at analysing the impact of sustainability reporting and approaches for implementing it into the accounting curriculum.
Industry 4.0 (I4.0) provides the framework for a new industrial revolution based on digitalization and networking. This production concept is based on the intelligent connection of mechanical engineering, electronics and software. The development of the I4.0 concept has directly contributed to the development of new technologies and business models as well as new ways of working and thinking. The implementation of Industry 4.0 technologies in the education of engineers is a basic prerequisite for the development of the economy and society. For this reason, university education of production engineers must constantly change and adapt to modern production technologies and systems. The widespread application of new technologies in production practise requires a rapid response from the university community, which is reflected in the introduction of innovations in the traditional education of production engineers. The paper analyses the current curriculum of production engineering studies at the Faculty of Technical Sciences in Novi Sad (Republic of Serbia, AP of Vojvodina) and the Faculty of Mechanical Engineering in Banja Luka (Bosnia and Herzegovina, Republic of Srpska) in terms of the requirements and needs of Industry 4.0. Based on the analysis, proposals and guidelines for their innovation were given.
The advent of technologies such as artificial intelligence, big data, collaborative robotics, the Internet of Things, algorithms and digital work platforms and at the same time a significant increase in the number of people working remotely brings opportunities as well as new challenges and risks in the field of health and safety. Addressing challenges and risks and maximizing opportunities depend on how technologies are used, managed and regulated in the context of social, political and economic trends [1]. This post describes digitization and its use in the field of safety.