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Performance measurement is a constant challenge to economic sciences in general, and this study is a response to an increased need for performance measurements to ensure maximum efficiency on the use of human resources. The main goal of this study is to evaluate employee performance as a key component of employee performance management. This paper aims at determining the current development level of new performance measurement techniques experienced by the businesses in Kosovo. In this study, linear regression, Pearson’s Chi-Squared test, and case study methods were used. The total number of case studies comprised 391, out of which 27 study cases were excluded because they did not apply any method of assessing the performance of the penitentiary. The results of the study have shown that businesses in Kosovo applying new evaluation methods of the performance of management staff ensure higher organisational performance. This study brings an added value to the field of application of performance measurement methods, exercising control and motivation of employees and contributing to the encouragement of businesses in Kosovo to apply new performance evaluation methods.
The construction industry in Yemen is currently facing challenges associated with rapid development of technology; thus, cost estimation is considered a key factor that should align with this technological advancement. The main problem in the area of preliminary estimate in Yemen is how to make estimate accurately. The aim of this study is to analyse a modern method of preliminary cost estimation in Yemen to prove its efficiency over the traditional method. Therefore, a wide range of literature sources regarding the preliminary estimates using Artificial Neural Network (ANN) as a modern technique is considered. Both qualitative and quantitative approaches were adopted in this study depending on the theoretical premises discussed in literature and the ANN technique, respectively. The independent variables were chosen in the course of literature review. The collected data were classified and processed regarding the ANN constraints and encoded for building and analysis of the ANN model. NeuroSolution 6 software was used to build, train, and test the network as well as to perform sensitivity analysis. In addition, the results of training, testing, and sensitivity analysis were obtained and discussed showing high effectiveness of accurate estimates with less than 1 % error. The ANN model is a more powerful technique for estimating costs in the preliminary stage that should be used in the developing countries instead of the traditional methods.
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Ņikita Kočanovs, Raja Kočanova and Olesja Bogodistaja
The publication presents the results of the analysis of the issues related to lighting quality parameters and characteristics, its impact on human productivity, activities, safety, well-being, comfort, perception, behaviour and health in different visual environments (office, home, educational, industrial working place, urban environments). Studies show that lighting, its planning and qualitative settings, is a significant indoor environmental quality, energy efficiency and sustainability parameter, and plays an important role in the urban environment.
, PUBLISHERS, NEW YORK, Cambridge, Philadelphia, San Francisco, Washington, London, Mexico Oty, Sao Paulo, Singapore, Sydney, p. 48.
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Sergey Kirsanov, Evgeny Safonov and Sandra Ramirez
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