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• Vállalkozói képzés a 21. században a felsőoktatásban – lehetőségek, módszerek, jó gyakorlatok

  1-18

  Georgina Árváné Ványi

  Judit Katonáné Kovács

  Tímea Gál

  Péter Popovics

  Views:

  475

  Challenges of the 21st century require answers from higher education as well. In Europe, most of the entrepreneurship programmes on the higher education institutions are less than ten years old. Whilst business studies may battle for academic legitimacy, it has a clear advantage when it comes to graduate employability. The aim of this paper is to give answer to the following questions: why entrepreneurship education is important, what are the methods which are already used and what are the results of them. The answers to the questions are based on literature reviews, a case study and in-depth interviews with alumni carried out at the University of Debrecen, where since 2010 Team Academy Debrecen, a new education model from Finland is implemented. Tiimiakatemia education is an innovative Finnish model founded in 1993 by Johannes Partanen that develops team entrepreneurs. Based on the results some of the important elements of entrepreneurship teachability are: learning by doing, passion, learning in teams, coaching and mentoring.

• Analysis and Comparison of Forecast Methods for a Small Enterprise

  14-21

  Lilla Törő

  László Pusztai

  Views:

  351

  The application of forecasting models is an essential part of the profitable operations of every company. However, today’s small and medium sized enterprises (SMEs) does not pay enough attention to this field. This research presents a case study in which we tried to determine the sequence of a forecasting process, furthermore, determine the best applicable method to the dataset. Seven dissimilar forecasting method was applied: moving average and weighted moving averages with different periods (2-3-4 weeks), as well as exponential smoothing. The four-week-long weighted moving average served the best solution, which was tested by tracking signal as well.

• Battery Measurement Methods and Artificial Intelligence Applied in Energy Management Systems

  428-436

  József Menyhárt

  Róbert Szabolcsi

  Views:

  146

  Diagnostics of batteries using advanced methods have gained remarkable roles in the past few years. This study focuses on the type of measurements, tests and methods to reveal and classify them. During manufacturing and operation several faults could emerge in batteries including non-optimal operation conditions, operators without experience, and finally, random changes in batteries under physical and nonphysical conditions. Improper handling of batteries and battery cells man cause operation failures or, in the worst case, accidents. To reveal these problems several methods are applied in industry and in scientific laboratories. For a comprehensive analysis of battery management, artificial intelligence and Industry 4.0 methods can be used very effectively. Big Data analysis in its standard form is not a new achievement, but other mathematical tools could be applied to control monitoring such as Fuzzy Logic or Support Vector Machine (SVM). They are efficient tools to analyse the deviation of batteries condition because it can detect sudden changes, parameter deviations and anomalies, and the user’s behaviour and habits. This article gives a description about the most important battery testing methods and the connection between Big Data and Operation Management with Artificial Intelligent (AI) methods.

• Adapting Open Innovation Model in Supplier Qualification Programs

  155-167

  József Gályász

  Balázs Darnai

  József Antal

  Views:

  337

  The development of innovative models fundamentally contribute to the changing the way of thinking in business context. Today, in this process, the impact of open innovation model is a kind of paradigm shift. The contents of this change has been mostly clear in the field of context of product-, innovation and technology, but not onm the field of organizational and management innovations. In this study, we sought to answer that in the case of knowledge transfer’s special field –the programs of suppliers - how to apply the principles of open innovation and how this may have positive effects. The motivation behind, was to look for commonly used models for the SME sector, that is fundamentally linked to large enterprises as suppliers, characterized by increasingly rapid technological development ecosystem to collaborate.

• Do Changes in the Economic Role of States through Privatization matter?: The Brazilian Case

  125-136

  László Török

  Views:

  161

  In market economies, the subject of scientific research is the extent to which the state can contribute to the sustainability of development. However, the question is to know where the boundaries of the market and the role of the state lie. The study briefly introduces different views of the state's economic role and how states have changed the proportion of their entrepreneurial assets. Among these, it highlights privatization, which is one of the significant segments of today's economic policy practice at both micro and macroeconomic levels. It then describes Brazil's economic circumstances that led to the formulation of a proper size privatization program. Finally, the socio-economic factors that, according to the author, make the realization of Brazilian privatization plans uncertain presented.