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Industrialization of knowledge in the University of Miskolc
61-73Views:252Life of universities has transformed thanks to “massification”. The costs of education have increased and universities had to manage a higher number of people. The economic management has moved towards business-like operation. The university has been transformed into an entrepreneurial university, while science has become knowledge production. The scientific policy has started to serve the needs of industrial corporations. The article titled (Industrialization of knowledge) introduces the research, developments, and innovations of the University of Miskolc. The university participate in national and international projects and they use the benefits of the research in developments. As the participants of innovations, they help in the introduction of new technical developments and the preparation of new products. Their operational experience is important for everybody.
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Analysing the Conditions of SMEs Regarding Quality Assurance in Hungary and the European Union
Views:299Nowadays, small and medium sized enterprises (SME) have a relatively large task and expectation caused by the appearing of populated large foreign-owned enterprises in our country. In order that they will be able to cooperate with them and be able to join and integrate into the value chain they supply they must meet the high quality of standards. Obtaining then preserving quality certificates is essential for this. It can be fulfilled exclusively with thorough screening and problem identification.
This situation is exacerbated continuously by globalization in which each sector is involved. It means that they must remain competitive globally. Although in our country most of the small and medium sized enterprises bears the specific characteristics of family businesses innovation may not be avoided if they intend to stay competitive. To fulfil this quality assurance is one of its integral part.
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Case Study of Unilever's Zero-Emission Target Realization
16-36Views:603This paper presents a detailed case study of Unilever’s strategy and progress toward achieving zero carbon emissions, focusing on Scope 1, 2, and 3 emissions. The study analyzes a 10-year time series of both financial and non-financial data to assess the relationship between sustainability indicators, such as greenhouse gas (GHG) emissions, total and renewable energy use, and the company’s operating profit. Forecasting techniques were applied to project future emission levels based on historical data, while correlation analysis was used to evaluate the relationships between key variables. The results show a strong positive correlation between total energy use and CO₂ emissions, highlighting the importance of energy efficiency in emission reduction efforts. However, no significant correlation was found between operating profit and CO₂ emissions or energy use, suggesting that sustainability initiatives have not yet had a measurable direct impact on profitability. Despite this, Unilever has demonstrated substantial progress toward its climate targets, including a 91% reduction in CO₂ emissions per ton of production (compared to a 2008 baseline) and the transition to 100% renewable electricity in many of its facilities. The study concludes that while sustainability measures may not immediately influence profit margins, they are essential for long-term competitiveness and corporate responsibility. This case provides valuable insights for firms aiming to integrate environmental performance into strategic decision-making.
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The Impact of Optical Character Recognition Artificial Intelligence on the Labour Market
9-16Views:491Because of present day information technology, there is neither need to plant complicated computers for more millions price if we would like to process and store big amounts of data, nor modelling them. The microprocessors and CPUs produced nowadays by that kind of technology and calculating capacity could not have been imagined 10 years before. We can store, process and display more and more data. In addition to this level of data processing capacity, programs and applications using machine learning are also gaining ground. During machine learning, biologically inspired simulations are performed by using artificial neural networks to able to solve any kind of problems that can be solved by computers. The development of information technology is causing rapid and radical changes in technology, which require not only the digital adaptation of users, but also the adaptation of certain employment policy and labour market solutions. Artificial intelligence can fundamentally question individual labour law relations: in addition to reducing the living workforce, it forces new employee competencies. This is also indicated by the Supiot report published in 1998, the basic assumption of which was that the social and economic regulatory model on which labour law is based is in crisis.
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What Drives The Diffusion of AI Recruitment Systems in Swiss HRM? The Importance of Technological Expertise, Innovative Climate, Competitive Pressure, Employees’ Expectations and Contextual Factors
42-84Views:472This study examines organizational, environmental, and contextual factors influencing the diffusion of artificial intelligence recruitment systems in human resources management within Swiss organizations. Based on a survey provided to 324 private and public Swiss HR professionals, it explores how some technology-organization-environment theoretical framework predictors' as well as innovative climate provided by organizations influence the three stages – evaluation, adoption, and routinization – of diffusion of this innovation. To do this, the following article is based on a PLS-SEM structural equation model. Its main findings are that technological expertise, innovative climate, competitive pressure, and expectations regarding future use of the tool by organizations working in the same field are directly linked to the spread of this type of AI tool. However, public-sector organizations are more reluctant about using this type of tool. This aversion can, however, be moderated by an innovative climate and the fact that the HR function plays an active part in an organization's strategic direction. This said, this article makes a significant contribution to the literature about the diffusion of emerging technologies in organizations.
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Changes in the financing of domestic research and development
153-161Views:258Nowadays, the fourth industrial revolution is taking place at an incredible speed, with innovation at its heart. Of this, R & D funding is of paramount importance, which is directly or indirectly one of the most important tools for increasing corporate competitiveness. The study examines trends in domestic R & D expenditures over the past one and a half decades. It focuses on the extent to which the financial crisis has affected the amount of funding resources and their structure. From an international comparison, Hungary and the European Union spend much less on research and development than those in the global competition. The impact of the crisis is reflected in the decline in the growth dynamics of R & D expenditures, but it has not been solved solely as a result of the crisis. Changes in the domestic structure of expenditures in recent years are encouraging and are in sync with the change in attitude that is considered desirable in R & D funding. If we examine the domestic statistical data more thoroughly, we can no longer be very satisfied. However, from trends in data from recent years, it becomes apparent that neither Hungary nor the European Union will achieve the 1.8 and 3.0 per cent of GDP R & D spending by 2020.
