Enterprise performance measurement systems

Performance measurement systems are an extremely important part of the control and management actions, because in this way a company can determine its business potential, its market power, potential and current level of business efficiency. The significance of measurement consists in influencing the relationship between the results of reproduction (total volume of production, value of production, total revenue and profit) and investments to achieve these results (factors of production spending and hiring capital) in order to achieve the highest possible quality of the economy. (The relationship between the results of reproduction and investment to achieve them quantitatively determines economic success as the quality of the economy.) Measuring performance allows the identification of the economic resources the company has, so looking at the key factors that affect its performance can help to determine the appropriate course of action

Which factors shape the intention of secondary school students in Serbia to pursue entrepreneurship?

In spite of numerous initiatives for promoting entrepreneurship in Serbia and the endeavours to encourage young people through education to think as entrepreneurs and start their own business, there are almost no papers in our psychological and educational literature that deal with this topic. Starting from Eisen's theory of entrepreneurial behaviour as planned and intentional, we conducted a research with the aim of determining the factors which influence the intention of young people in Serbia to choose entrepreneurship as a career option. The focus in the research was on the following factors: personal initiative, entrepreneurial experience (close persons as entrepreneurial role models) and entrepreneurship education. Additionally, the role of gender, school achievement and parental education was analysed, as well as the role of perceiving the socioeconomic context in which young people live. The sample was convenient and comprised 222 fourth-grade students from two schools of economics and three grammar schools in Serbia. Robitschek's scale (PGISS-II) was used for measuring personal initiative, while other instruments were constructed for the purposes of the research. The used statistical procedures included descriptive statistics, Chi-square, t-test, Pearson's coefficient of linear correlation, as well as standard multiple regression analysis. The results indicate that the personal growth initiative, entrepreneurial experience (especially parents who are entrepreneurs) and the perception of the context in which young people live are the most important factors for forming an entrepreneurial intention in secondary school students in Serbia. The obtained findings are discussed, first and foremost, in the context of implications for entrepreneurship education in which the desirable educational strategies refer to encouraging student initiative and engaging successful entrepreneurs in teaching as mentors

Parallel Robots Based on the Gough-Stewart Platform

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Discrete Time Delayed System Stability Theory in the sense of Lyapunov: Further Results

Our aim is to improve the existing results concerning asymptotic stability of a particular class of linear discrete time delay systems. This paper extends one of the basic results in the area of Lyapunov (asymptotic) to linear, discrete, time invariant time-delay systems. This result is given in the form of only sufficient conditions and represent further improvement of the existing results concerning the asymptotic stability of systems described by vector state representation of the form x(k +1) = A0x(k) + A1x(k −1) . This result is less conservative than those in existing literatur

Influence of Encryption Algorithms on Power Consumption in Energy Harvesting Systems

Autonomous energy harvesting sensors present one of the most attractive areas of microelectronics at the moment. They are a part of Internet of Things (IoT) systems so the data need to be protected across transmission. One way for data protection is encryption and the other way is digital signature. However, energy consumption of those systems is increased using protections algorithms, and it should be considered because these are energy harvesting systems. The paper describes the ways in which data encryption and digital signature algorithms can be implemented in resource limited systems based on an 8-bit microcontroller. Alongside the implementation method, the paper deals with the energy demands of the selected encryption algorithms and digital signatures. The execution time, energy consumption, and memory consumption will be considered

REMOVAL OF ANTIBIOTICS FROM WASTEWATER BY HYDROXYAPATITE OBTAINED FROM BIOWASTE OF SHELLFISH

Addressing the problem of microbial resistance to antibiotics is one of the main priorities of the World Health Organization (WHO). One way to fight this is to reduce and control the use of antibiotics in the world. However, the COVID 19 pandemic has led to sudden and uncontrolled consumption of antibiotics because they are used as standard medical prophylaxis despite the fact that they do not act on the Corona virus. Another way to fight microbial resistance is to reduce the contact of antibiotics with bacteria. Traces of antibiotics in wastewater cause resistance of bacteria that are in them and have a detrimental effect on humans and the environment due to the limited removal of antibiotics by traditional wastewater treatment. In this study, we investigated the possibility of using as an adsorbent to remove the antibiotic hydroxyapatite obtained from shells of river shells (NHAP/U) from the family Unionidae, a material that accumulates in large quantities on the banks of large rivers as waste. The resulting adsorbent NHAP/U was characterized and tested for removal from wastewater of the most commonly used antibiotic during the COVID-19 pandemic amoxicillin (AMOX). In order to predict the optimal adsorption conditions using the Response Surface Method (RSM), the influence of variable factors (adsorption conditions), pH values, adsorbent dose, contact time and temperature on the adsorbent capacity was investigated. Maximum removal of 97.8% of AMOX was achieved under defined conditions. The best adsorption of AMOX was achieved for pH between 5.0 and 7.0. Adsorption data for amoxicillin at 25, 35 and 45 °C were compared with isothermal models Langmuir, Freundlich, Dubinin-Radushkevich and Temkin, as well as for modelling adsorption kinetics using pseudo-first order, pseudo-second order and Elovich kinetic model. The results showed that the adsorption of AMOX on NHAP/U followed a pseudo-second kinetic model and a Freundlich isothermal model. Thermodynamic parameters indicate the endothermic, feasible and spontaneous nature of the adsorption process