درخت حوزه‌های تخصصی

Management is an effective and goal-oriented process that guides an organization. This guidance involves five sequential functions: planning, organizing, leading, coordinating, and controlling and evaluating. The fundamental knowledge of management, or the management process, has been present even in ancient civilizations such as those of the Iranians, Egyptians, Sumerians, and others. In Islamic civilization, we have had grand and civilizational management systems. Today, the successful implementation of an HSE (Health, Safety, and Environment) management system depends on the participation of all employees. Given that job satisfaction can influence employee performance, this study aims to model the relationship between job satisfaction and the HSE performance of Pars Oil and Gas Company employees. The statistical population of this research consists of all employees of Pars Oil and Gas Company (N = 5300). Using Cochran's formula and simple random sampling, 360 employees were selected as the sample. The data collection tool was a questionnaire, and to ensure its validity, the opinions of several university faculty members were used. Cronbach's alpha coefficient was applied to confirm the reliability, yielding values of 0.79 for job satisfaction and 0.83 for HSE performance. The results indicate a positive and significant relationship between job satisfaction and HSE performance (P-value < 0.01). The regression results show that, in two steps, the indices of job natureand security and safety, which had the highest impact on HSE performance, were included in the analysis. In the first step, the job nature index explains 59% of thevariance in the response variable (HSE performance), and in the second step, with the inclusion of the security and safety index, this figure increases to 63%

Groundwater is a vital resource for agriculture in arid regions which its over-extraction has led to significant challenges of declining water levels and increased scarcity. This study addresses the urgent need for sustainable groundwater management by employing an inclusive group decision-making approach involving diverse stakeholders, with a focus on farmers. Overlooking the participation of farmers in the decision-making approach led to ineffective policies. Utilizing Multi-Criteria Decision-Making (MCDM) methods, specifically the fuzzy Shannon entropy and Fuzzy TOPSIS techniques, the research prioritizes strategies for reducing groundwater consumption in the Safi-Abad region of North Khorasan, Iran. Qualitative data from stakeholder interviews provided insights into the challenges and opportunities related to groundwater use, revealing two primary strategies: (i) transitioning to low water-demand crops; and (ii) adopting modern irrigation systems. These approaches not only promise significant reductions in water usage but also support sustainable agricultural practices. The findings highlighted the importance of stakeholder collaboration in implementing effective water management policies, ensuring responsible resource use, and securing long-term viability. This study served as a model for future research, advocating for mixed methods integrating qualitative and quantitative analyses to inform policy recommendations and improve water resource management.

Investment fund managers have been trying to provide more attractiveness for investors by earning higher yields and generating liquidity. The investment rate of return of a mutual fund is obtained from the difference between the issuance and redemption of Net Asset Values (NAVs) per investment unit. However, the Exchange Traded Funds'(ETFs') yield should be calculated differently, and investors must consider the changes in market prices (Not only the NAVs), which are not usually announced through the Ads, so they disregard the investors. Investment fund managers believe that the attractiveness of the rate of return, even to a small extent, leads to over-welcoming of the investors and a faster growth of the funds' size. According to the information available in recent years, investors have shown more interest in fixed-income investment funds, and the growth of ETFs has been significant compared to the growth of total funds, so it can be assumed that investors are more interested in ETFs. Thus, in this research, we will identify factors affecting the development of ETFs, especially fixed-income ones. To fulfill our purpose, we examined all active fixed-income investment funds that are traded in the Tehran Stock Exchange and the Iran Farabourse from March 2021 to September 2023, including 25 ETFs. We analyzed our panel data through ordinary least squares. Analyzing the effective rate of returns of 25 Fixed Income ETFs, which have been active from March 2021 to September 2023, our results showed that ETFs development is significantly related to the fund size, daily price volatility, and liquidity. Despite our expectations, rate of return, fund age, and price adjustment do not have a significant effect on the development of investment funds. The result showed that a higher rate of return did not have a significant effect on the attractiveness and acceptance of investors, but the liquidity of investment units positively affects the development of fixed-income ETFs. We also found that the daily volatility of the final price inversely impacted the fund's size. This is consistent with investors' low risk-taking spirit in fixed-income funds and emphasizes their preference to avoid liquidity risk and price volatility risk.

This study aims to explore the dynamics of financial contracting in Iranian startups and high-tech companies, with a particular focus on the challenges posed by information asymmetry between investors and entrepreneurs. We collected and analyzed data from 123 Iranian Shareholder Agreements (ShAs). We employed a range of descriptive statistics to provide a comprehensive summary of the data. Also, to explore the relationships between our variables, we utilized Ordinary Least Squares (OLS) regression. The terms and conditions of these contracts were examined to understand the diversity and influence of these terms and how they are applied in the real world in the context of Iran. We also investigated Iranian venture capitalists' behavior in obtaining cash flow rights and control rights, and a complete description is presented through various factors, including components of cash flow rights and control rights. Our analysis revealed a limited diversity in the terms and conditions of the contracts, suggesting a potential emulation of U.S. ShAs. We found that Iranian venture capitalists tend to secure maximum cash flow and control rights, exceeding their U.S. counterparts. Preferred stocks emerged as the primary choice for investing in startup companies. However, a detailed examination of the relationship between cash flow rights and control rights indicated a lack of a unified and coherent approach in contract design, reflecting a highly conservative stance among investors. This study contributes to understanding financial contracting dynamics in emerging markets like Iran. It highlights the gap between theoretical frameworks and real-world practices, shedding light on how these factors shape the relationships between investors and entrepreneurs.

This study aims to analyze fraudulent financial reporting based on the Fraud Hexagon theory in companies listed on the Tehran Stock Exchange. The population in this research included all the companies listed on the Tehran Stock Exchange. The samples in this research were determined using the purposive sampling method, and the selection of samples was based on the criteria determined according to the objectives of the research. The reason for using this technique was to make it easier to collect data according to the research needs. This research was conducted on the companies listed on the Tehran Stock Exchange in 2014-2023, with a statistical population of 141 companies. Finally, 1410 companies were collected for this research. The dependent variable in this research was measured using dummy variables, and logistic regression analysis was used to test the hypotheses. The results of the research indicated that the factors of collusion, CEOs' narcissism, and motivation have a significant relationship with fraudulent financial reporting. However, auditor change, CEO change, and the industry's nature do not positively affect fraudulent reporting.

The modelling of strategies for buying and selling in Stock Market Investment have been the object of numerous advances and uses in economic studies, both theoretically and empirically. One of the popular models in economic studies is applying the Semi-parametric Markov Switching models for forecasting the time series observations based on stock prices. The Semi-parametric Markov Switching models for these models are a class of popular methods that have been used extensively by researchers to increase the accuracy of fitting processes. The main part of these models is based on kernel and core functions. Despite of existence of many kernel and core functions that are capable in applications for forecasting the stock prices, there is a widely use of Gaussian kernel and exponential core function in these models. But there is a question if other types of kernel and core functions can be used in these models. This paper tries to introduce the other kernel and core functions can be offered for good fitting of the financial data. We first test three popular kernel and four core functions to find the best one and then offer the new strategy of buying and selling stocks by the best selection on these functions for real data.