The work alienation is abstraction or departure of an employee from the organization in a physical or psychological sense. It is important to determine the factors that affect the alienation of the work. The organizational climate, which is regarded as one of these factors, is a measurable characteristic that the business environment is assumed to be directly or indirectly perceived by people living and working in the environment and will affect their motivations and behavior.The aim of this research is to explain the relationship between organizational climate and work alienation. Research is a quantitative research with relational. The population of the work is staff working in units affiliated to Gazi University Rectorate. As a result of the sampling, a total of 238 people were surveyed. The data of the survey was collected by the survey method. The survey consists of demographic information, organizational climate scale and work alienation scale. The Pearson correlation coefficient was calculated to determine the degree of relationship between organizational climate and work alienation. Linear regression analysis was performed to determine the effect of organizational climate on work alienation.As a result of the analysis, there is a significant, negative and medium-level relation between organizational climate and work alienation (r=-0.23; p<0.01) and when the organizational climate is positive the work alienation would diminish. According to regression analysis, a significant regression model explaining the organizational climate was found (Work Alienation = -0.350 Organizational Climate + 4.056; R 2 = 0.053; p<0.05) and the changes that the staff goes through in work alienation can be explained by the 5% of the organizational climate. Organizational climate can be considered as an effective factor in studies investigating work alienation.
Anomalies, which are incompatible with the efficient market hypothesis and mean a deviation from normality, have attracted the attention of both financial investors and researchers. A salient research topic is the existence of anomalies in cryptocurrencies, which have a different financial structure from that of traditional financial markets. This study expands the literature by focusing on artificial neural networks to compare different currencies of the cryptocurrency market, which is hard to predict. It aims to investigate the existence of the day-of-the-week anomaly in cryptocurrencies with feedforward artificial neural networks as an alternative to traditional methods. An artificial neural network is an effective approach that can model the nonlinear and complex behavior of cryptocurrencies. On October 6, 2021, Bitcoin (BTC), Ethereum (ETH), and Cardano (ADA), which are the top three cryptocurrencies in terms of market value, were selected for this study. The data for the analysis, consisting of the daily closing prices for BTC, ETH, and ADA, were obtained from the Coinmarket.com website from January 1, 2018 to May 31, 2022. The effectiveness of the established models was tested with mean squared error, root mean squared error, mean absolute error, and Theil’s U1, and $${R}_{OOS}^{2}$$
R
OOS
2
was used for out-of-sample. The Diebold–Mariano test was used to statistically reveal the difference between the out-of-sample prediction accuracies of the models. When the models created with feedforward artificial neural networks are examined, the existence of the day-of-the-week anomaly is established for BTC, but no day-of-the-week anomaly for ETH and ADA was found.
Glass ceiling symbolizes a variety of barriers and obstacles that arise from gender inequality at business life. With this mind, culture influences gender dynamics. The purpose of this research was to examine the relationship between the glass ceiling and the power distance as a cultural variable within organizations. Gender variable is taken as a moderator variable in relationship between the concepts. In addition to conventional correlation analysis, we employed a new method to investigate this relationship in detail. The survey data were obtained from 109 people working at a research center which operated as a part of the nonprofit private university in Ankara, Turkey. The relationship between the variables was revealed by a new method which was developed as an addition to the correlation in survey. The analysis revealed that the female staff perceived the glass ceiling and the power distance more intensely than the male staff. In addition, the medium level relation was determined between the power distance and the glass ceiling perception among female staff.
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