TOPSIS Technique

Purpose: The aim of this study was to predict the effective variables of empowerment on human resource efficiency of the Sports and Youth Organization of West Azerbaijan Province using the TOPSIS technique. Methodology: The method of the present study was descriptive-analytical, applied. The statistical population of the study, in the first part included the experts of the sports and youth departments of West Azerbaijan province in the winter and spring of 1397-1397 and in the second part all the employees of the sports and youth departments of West Azerbaijan province. In the first part of the research, the researcher ranked the research options with a survey of 15 experts and in the second part, using Morgan table, 150 people were estimated as a research sample, which was done by random sampling among the staff of the Sports and Youth Department of Azerbaijan province. It was western. In the first part, with the exploratory approach and extraction of components, 8 indicators and 39 items were extracted, which were used for design in the model design stage, and in this part, according to the sample size, which was less than 200. In this study, in order to describe the data from descriptive and inferential statistics and from TOPSIS statistical software for the best and worst desired situation in evaluating the options, SPS24 and the partial least squares technique with the help of Smart Cup software. S2 was used. Findings: The results showed that 8 extracted indicators (organizational culture, 0.79, organizational support 0.76, technical factors 0.74, individual factors 0.653, job-related factors 0.646, educational factors 0.60, Systemic factors (0.495 and environmental factors (0.367, respectively) indicated empowerment and productivity of human resources from the perspective of respondents. Conclusion: Empowering employees on organizational performance of employees significantly increases organizational performance.

Evaluating the performance of companies using their financial ratios is a challenging task that is expected to become more straightforward by reducing the dimensionality of the data. The purpose of this study is to evaluate the performance of companies using a hybrid model for investment-related decision making through which the mean value of various financial ratios are calculated based on the investor's risk-taking behavior so that the number of all criteria is reduced to one single value for each alternative. To do so, a sample of 172 companies listed in Tehran Stock Ex-change was selected from 2008 to -2018. Firstly, the financial ratios were prioritized using decision trees regression analysis (type CART) and TOPSIS Technique. The results showed that Gross Profit Margin and Debt to Equity Ratio are the most and the least important factors, respectively. Then, using OWA (Ordered Weighted Averaging Aggregation) operator, the role of investor’s risk-taking behavior was investigated, and the results showed that investor’s risk-taking behavior changes the outcome of the decision-making process significantly.