درخت حوزه‌های تخصصی

The investment decisions of managers of investment funds (especially equity investment funds) have an impression on the returns of individuals who have deposited their capital in these funds. Therefore, the issue of evaluating the performance of investment funds and their managers is imperative for investors. The research aims to investigate the effect of cross-sectional alpha dispersion on investors' evaluation of the performance of investment funds. We extract data regarding 31 equity investment funds from 2012 till 2022 and calculate the interquartile ratio of Jensen's alpha called "IQR" and "Performance-Flow Sensitivity" along with control variables. Then, the hypothesis test model was fitted using the multivariate regression analysis using the Generalized Least Squares method. Empirical findings show a negative and significant connection between the alpha dispersion of investment funds and performance-flow sensitivity. Based on the results, one credit increase in the standard deviation of alpha dispersion leads to a decrease of about 0.4% in the ratio of performance-flow sensitivity. Environments with high alpha dispersion of investment funds will targeted by unskilled managers to introduce themselves as successful and skilled managers to investors and mislead them. Therefore, when the alpha of investment funds has a higher dispersion, the type I error possibility investors will face increases. Individuals may consider an inefficient manager to be competent and skilled. We will provide some suggestions in this regard.

This research was conducted to investigate the motivations and attitudes of consumers to choose chocolate and their effects on purchase intention. For this purpose, the effects of health variables, mood, weight control, chocoholism, sensory, packing, price, and brand trust on the purchase intention of chocolate have been investigated using the structural equation model. The results of this research indicate that only the variable of mood has a positive and significant effect on chocoholism. Additionally, the variables of brand trust, packaging, and price have a positive, direct, and significant impact on the intention to purchase chocolate. Mood and packaging stood out with a notable difference, indicating that these two factors are especially important from the consumer’s perspective. Furthermore, attractive packaging has the ability to attract the attention of consumers and convey important information about the product, including taste, ingredients, and nutritional value. Also, most consumers buy chocolate products from their trusted brands, so in this case, famous and reliable brands usually have an advantage, price sensitivity is different in consumer groups. These factors are often interrelated and their importance may vary depending on individual preferences, demographics, and market trends.

The purpose of this study is to investigate the impact of digital transformation on audit efficiency in companies listed on the Iranian capital market. Audit delay is used as a key measure to evaluate audit efficiency. To assess digital transformation, an index based on the frequency of keywords related to digital technologies, such as "Internet of Things," "Artificial Intelligence," "Cloud Computing," and "Big Data," in annual reports of companies is calculated. Control variables include company size, financial leverage, board independence, ownership concentration, Return on Assets (ROA), company losses, and CEO duality.This research is applied and descriptive survey in nature, and data were collected from financial reports of companies listed on the Tehran Stock Exchange between 2018 and 2022. Data analysis was performed using linear regression and the Eviews software, with the study adopting a panel data methodology.The results indicate that digital transformation negatively affects audit efficiency, leading to increased audit report delays. Additionally, companies with higher levels of digital transformation experienced more significant audit delays. These effects were particularly evident in firms with higher financial leverage and lower ownership concentration.This study highlights that digital transformation presents new challenges for the auditing profession, emphasizing the need for enhanced skills and the adoption of relevant technologies in the audit process

The economic evaluation of oil and gas projects aims to provide decision-makers with a comprehensive estimate of costs and benefits. This study examines the impact of macroeconomic variables, such as interest and inflation rates, on the economic assessment of drilling several gas wells in northeastern Iran. The theoretical framework includes Net Present Value (NPV), Internal Rate of Return (IRR), and Payback Period (PP). The importance of accurately predicting these variables for economic decision-making by managers and policymakers is clearly established, with their analysis playing a key role in project evaluation. In this study, the planning of activities and analysis of the construction and operational phases of the project were first conducted. The inflation rate was forecasted using the ARIMA model, and an appropriate discount rate was determined. The pricing of gas and condensates, fixed and variable costs, and project revenues were also reviewed. The economic evaluation was performed using COMFAR software, with a sensitivity analysis to examine the impact of changes in key assumptions. The results indicate positive financial metrics for the project under different production rates, discount rates, inflation rates, and various energy prices, confirming the project's economic viability.

This study was conducted with the aim of evaluating the energy supply chain in the petrochemi-cal industry with the approach of Malmquist cost efficiency index and fuzzy VIKOR, taking into account the importance coefficient of input variables. After reviewing the literature, first the inputs and outputs of the energy supply chain were identified. Then, the influential variables in the petrochemical industry in the energy supply chain were identified and prioritized with the fuzzy VIKOR approach. Then the weight of the input variables was calculated with the geomet-ric mean and the input variables were entered into the mathematical model based on their weight. Based on input type, a mathematical model was written to estimate input costs to ensure output and supply chain efficiency in two consecutive years. Then the Malmquist cost index was estimated based on the model outputs. The petrochemical company with the highest Malmquist total cost index and the lowest output cost was selected as the optimal solution of the model. The value of the objective function indicates the input costs. Our inputs include two variables, the number of employees, the value of materials used in fuel reproduction. Petro-chemicals 9, 7, 12, 10, 6, 5, 3, 4, 13, 11, 2, 8, 1 and 14 respectively have the lowest input costs, but it is necessarily due to efficiency that petrochemicals and the efficiency of petrochemicals is checked. The cost return is calculated from the relevant formula in the years 2021 and 2022.

The purpose of this study is to design a strategic restructuring model for strategic restructuring in the oil industry with attention and emphasis on eco-industrial development. This current research is developmental in terms of its purpose; In terms of approach, it has been done qualitatively and based on metacomposition. Based on this, the statistical community of the research includes a collection of articles that have been published from 2020 to 2023 on the topic of strategic restructuring and organizational modernization, and the authors have searched among prominent domestic and foreign scientific databases to find 57 articles out of 336. They selected articles and after analyzing their content, categories and concepts were extracted and their prioritization was done using Shannon's entropy method. Based on the research findings, 40 concepts were identified in the form of 10 categories and were separated into three categories intra-organizational, extra-organizational, and environmental factors. The categories of Organizational transformation, the establishment of new management styles, organizational knowledge, customer relationship management, broker organization, integration of industry and environment, adaptability, and predictability, job training needs assessment, quick and smart thinking, and human resource evaluation had the highest coefficient of importance, respectively. Therefore, due to its entrepreneurial nature, strategic restructuring will affect the realization of environmental protection as much as possible and will increase the responsibility of the oil industry towards the environment.