درخت حوزه‌های تخصصی

The present study aims to investigate the mediating role of Kaizen in the relationship between total quality management and organization’s performance. The research method is descriptive-survey and the statistical population of the research is the employees of the district of five Shiraz gas transmission operations, which is equal to 138 people. According to the Cochran formula, 102 senior managers, middle and operational managers, as well as directors and active staff of the area have been considered as the sample of the study. Data collection tool is the standard questionnaire of Ang and et al (2016). Its content validity has been approved and its reliability has been approved using Cronbach's alpha. Data analysis has been done using SPSS software and structural equation modeling. The results of this study show that there is a significant relationship between Kaizen principles and organizational performance. There is a significant relationship between total quality management and Kaizen principles. Finally, there is a significant relationship between total quality management and organizational performance with the mediating role of Kaizen.

This study aims at determining the personality traits and investment patterns in the stock market and presenting the pattern with a behavioral finance approach. This is an applied, descriptive- survey, and cross-sectional study. The statistical population includes real investors in the Tehran Stock Exchange. The required information was collected using questionnaire and was analyzed using SPSS and AMOS software. Exploratory and confirmatory factor analysis were used to investigate research questions and the results showed that, the components neuroticism, extroversion, flexibility, agreement, motivator and Self- confidence determine personality traits. Components demographic traits of the investor, type of investment, investment objective, investment time, investment efficiency, and traits of shares determine investment patterns. And  components  risk-taking capabilities, heuristic factors, emotional factors, psychological effects, complaint behaviors, and personal and social values, determine behavioral- finance patterns among true investors in the tehran stock exchange. Investigating the relationships between the research variables indicated that personality traits have a significant effect on behavioral- finance components.

Since the seismic behavior of the earth’s energy (which follows from the power law distribution) can be similarly seen in the energy realized by the stock markets, in this paper we consider a statistical study for comparing the financial crises and the earthquakes. For this end, the TP statistic, proposed by Pisarenko and et al. (2004), is employed for estimating the critical point or the lower threshold, i.e. the point beyond that the market energy follows from the power law (Pareto) distribution. The results confirm the deviation of the energy from the Pareto distribution in the high quantiles of the energy data. The upper threshold that the energy's distribution is changed from the Pareto to another distribution is also estimated by TP statistic. A simulation study is employed for checking out the statistical behavior of the estimated thresholds. Finally, the magnitude of the financial earthquakes is studied. The results indicate that the domestic and the international events have caused the financial earthquakes in Tehran Stock Exchange. Also, the positive relation between the daily energy released and the daily magnitude of the shocks that was connected by Gutenberg and Richter (1956) is confirmed.

The purpose of this study, is create a challenge and discussion concerning the existence of information about the Bitcoin price and return, which suggests the relationship of information and the strong performance it. The information trends are available at different time periods and the summary data related to the statistical descriptions for the price and return index are also discussed. In this paper we show a significant correlation between the price trend and return in the Bitcoin that has been confirmed by various statistical methodology. Using statistical tests and reviewing trends and relationships between the variables, planning can be done to invest in it and its performance or inefficiency can be tested. The results of this research shows a significant and positive relationship between the price and return of Bitcoin.

Performance appraisal is a process which help shareholders make informed and optimal investment decisions. In recent decades, a long stream of research has devoted particular attention to the importance and impact of financial decisions on firm performance and firm value. The present study thus is primarily concerned with investigating the association between free cash flow and institutional ownership and long-term performance of the firms listed on the Tehran Stock Exchange over the period of 2012-2016. Moreover, firm size, financial leverage and sale grows serve as the control variables of the research. A number of 89 firms listed on the Tehran Stock Exchange were selected, and then the research hypotheses were tested using multivariate regression model based on panel data. The results reveal that firm long-term performance is not significantly correlated with free cash flow, yet it has a significant relationship with institutional ownership.

Today, in large projects such as constructing oil, gas and petrochemical refineries, it is inevitable to use modern management methods and project timing. On the other hand, in classic scheduling case, the focus is on balance between time and cost of carrying out projects, which in such a situation, one of possible solutions to shorten time of implementing project is to accelerate activities. This acceleration can affect the quality of conducting projects and environmental impacts, in addition to impose more costs. Hence, in such studies, environmental impacts and quality of activities were also considered as new indicators in case of project time-cost balance. There has been proposed a new mathematical model with four indicators: cost, time, quali-ty and environmental impacts. The provided model is a multi-objective mathematical model of zero-and-one programming type that despite traditional models, in which there is only considered an implementation mode for carrying out activities and a pre-conditional relationship between activities, modes of implementing activities are as multi-form and the dependence relationship between the activities is a generalized pre-requisite. Including the relationships brings the problem closer to the real world. Because of NP-hard of the problem in large dimensions and the necessity of using meta-heuristic Algorithms, we used MOBEE algorithm to solve the model.