Kambiz Taghipour; Naghi fazeli; Arezoo Khosaravani
Abstract
The purpose of this study is perspectives of intertextuality in disclosure comprehensive information for stakeholders by the mathematical functions matrix. This study is considered applied in terms of the type of result, and from the point of view of the goal, it is placed in the category of exploratory ...
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The purpose of this study is perspectives of intertextuality in disclosure comprehensive information for stakeholders by the mathematical functions matrix. This study is considered applied in terms of the type of result, and from the point of view of the goal, it is placed in the category of exploratory studies that have been carried out using quantitative and qualitative models. The present study does not follow one type of research method, but uses a separate method to answer the formulated questions according to each department. Therefore, based on the nature of collection, this study can be classified as mixed methods approach. The statistical population in the qualitative part was 11 experts in the field of financial management and accounting, and in the qualitative part 30 experience financial managers of capital market companies participated. The result in the qualitative part indicated the existence of 6 factors to evaluate the intertextuality in disclosing comprehensive information functions at the level of the capital market, which was confirmed based on the Delphi analysis. Then, by selecting 2 factors out of the 6 factors identified as the basis of scenario planning, by conducting thematic analysis, 9 sub-factors emerged. The result of the acquisition in the quantitative part showed that the most important scenario for the development of the intertextuality function in the disclosure of comprehensive information is the sinusoidal scenario, or in explanatory terms, the operational intertextuality scenario, which can bring the most important consequence of legitimacy, that is, moral legitimacy for the company.
Abas Aflatooni; Mohamad Khatiri
Abstract
Recent research has increasingly focused on earnings management through the classification shifting of income statement items. However, domestic studies have only minimally addressed this topic. While international research has extensively examined the impact of the COVID-19 pandemic on earnings management, ...
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Recent research has increasingly focused on earnings management through the classification shifting of income statement items. However, domestic studies have only minimally addressed this topic. While international research has extensively examined the impact of the COVID-19 pandemic on earnings management, there is a notable lack of empirical evidence concerning Iranian firms. This study investigates the presence of earnings management through classification shifting in Iranian firms, comparing the phenomenon during the COVID-19 outbreak with other periods. The analysis utilizes data from 137 firms listed on the Tehran Stock Exchange, covering 2012 to 2023, resulting in 1,644 observations. The models are estimated using the generalized least squares (GLS) approach, controlling for year and industry effects. The findings confirm the existence of earnings management through classification shifting among Iranian firms. Moreover, the results indicate that this practice intensified during the COVID-19 pandemic compared to other years. Robustness tests, which employed different time frames for the pandemic and decile-ranked values for research variables, corroborate the study's main findings.
Ali Rahmani; Ali Shirzad; Marziyeh Nourahmadi
Abstract
This research aims to propose a comprehensive and efficient model for the implementation of direct payment to the final beneficiary in various government departments, and it investigates, designs, and presents it.This model must not only comply with legal requirements, but also include reliable IT infrastructure, ...
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This research aims to propose a comprehensive and efficient model for the implementation of direct payment to the final beneficiary in various government departments, and it investigates, designs, and presents it.This model must not only comply with legal requirements, but also include reliable IT infrastructure, communication systems to manage financial information, and political and cultural support.Therefore, the purpose of this research is to provide a comprehensive and appropriate model to achieve direct payment to beneficiaries based on the surveys and evaluations and the opinion of public sector experts in the period of 2022-2023. After examining the requirements of the direct payment model to the beneficiaries, the first payment model was designed based on the models proposed by the World Bank, the International Monetary Fund, France and Brazil and based on the authors' experience and knowledge of the state of the public sector in Iran. In the next step, a semi-structured interview was conducted with Iranian public sector specialists who were selected using targeted sampling.The findings from the interview were analyzed using thematic analysis. At the end, after summarizing the opinions of the experts, along with presenting the final model for payments and identifying points prone to improvement, suggestions related to the various requirements of the implementation of the direct payment system to the final beneficiary have been presented.The results of this research will provide a transparent and comprehensive model for government payments and executive bodies and will play an effective role in improving the quality of the government's financial system.
Leila Farvizi; Sakineh Sojoodi; Hossein Asgharpour; Jafar Haghighat
Abstract
Previous research have been conducted to establish connections between systematic risk and various accounting and financial variables of companies. Many empirical investigations have employed the classical regression method, which is not without its limitations, notably the need to focus on a limited ...
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Previous research have been conducted to establish connections between systematic risk and various accounting and financial variables of companies. Many empirical investigations have employed the classical regression method, which is not without its limitations, notably the need to focus on a limited number of variables in order to maintain an acceptable level of regression degrees of freedom. In order to address this limitation, the present study employs the Bayesian model averaging method. By analyzing data from 55 companies listed on the Tehran Stock Exchange between 2010 and 2023, this study examines the impact of 58 different financial and accounting variables on the systematic risk of these companies, ultimately identifying the key determinants of systematic risk. The estimation results reveal that, among the investigated variables, five variables exert the greatest influence on systematic risk, with company size ranking first. The average coefficient for this variable is positive. Following closely are asset turnover and operational efficiency, which hold the second and third positions, respectively. The average operating efficiency ratio displays a negative coefficient, while the average asset turnover ratio exhibits a positive coefficient. The fourth determinant is the ratio of long-term debt to equity, which has a positive coefficient. Finally, the fifth explanatory variable is the ratio of the company's market value to the book value of its total assets, exerting a negative effect on systematic risk.
Seyyed Hossein Noorhosseini Niyaki; Mehdi Meshki Miavaghi; Soghra Barari Nokashti
Abstract
This study was conducted with the aim of evaluating factors related to agency theory, shortcomings of government, consequences of critical theory maturity and the quality of social benefits in Management Accounting. The Foundation's data theory method was used to present a model regarding the maturity ...
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This study was conducted with the aim of evaluating factors related to agency theory, shortcomings of government, consequences of critical theory maturity and the quality of social benefits in Management Accounting. The Foundation's data theory method was used to present a model regarding the maturity of critical accounting and the quality of social importance, emphasizing the role of representation theory through interviews with 33 experts. The after of screening factors was used from fuzzy Delphi method for prioritization. The results showed that among the representation of government shortcomings and agency issues, the indicators related to the shortcomings of the government and representation issues are in the first and second places with the values of (0.915) and (0.908), respectively. Among the consequential factors, the factors related to information benefits, accounting system benefits, and social benefits are in the first to third place with the values of (0.932), (0.931), and (0.860), respectively.
Zahra Masoumi Bilondi; Maryam Sadat Tabatabaeian; Nasrin Yousefzadeh
Abstract
In recent years, much more attention has been paid to the adoption of information technology (IT) in organizations, particularly in the field of internal auditing. Integrating IT tools and systems into traditional auditing practices is a key driver for promoting the efficiency, effectiveness, and accuracy ...
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In recent years, much more attention has been paid to the adoption of information technology (IT) in organizations, particularly in the field of internal auditing. Integrating IT tools and systems into traditional auditing practices is a key driver for promoting the efficiency, effectiveness, and accuracy of internal audit processes. This study aimed to explore the challenges, barriers, and solutions for IT integration into the internal auditing process of companies listed on the Tehran Stock Exchange. A qualitative approach was adopted, and the required data was collected in 2024 from interviews with 18 internal audit experts. To analyze the data, thematic analysis was performed using MAXQDA software. The findings revealed that the primary challenges and barriers to IT integration in internal auditing were organizational limitations, technical constraints, auditors' perceived barriers, and their insufficient training. To address the aforementioned gap, the following solutions were proposed: promoting IT adoption culture, organizational commitment to accepting and implementing new technologies, providing required infrastructure, and reinforcing employees’ training and skills in the IT field.
Sarah Mohsin; Narges Hamidian; seyed abbas hashemi
Abstract
Stock price crash risk, defined as an adverse event, is a pervasive phenomenon at the market level. This implies that the decline in stock prices is not limited to a specific stock but extends across the entire market. Stock price crashes result in significant losses for shareholders and investors, as ...
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Stock price crash risk, defined as an adverse event, is a pervasive phenomenon at the market level. This implies that the decline in stock prices is not limited to a specific stock but extends across the entire market. Stock price crashes result in significant losses for shareholders and investors, as well as a decline in the overall capital market. Hence, understanding the factors influencing this phenomenon is of critical importance. The present study aims to investigate the impact of industry operating cash flow volatility on future stock price crash risk, considering the roles of economic policy uncertainty and conditional conservatism in companies listed on the Tehran Stock Exchange. A sample of 136 companies was selected using a screening method over the period from 2012 to 2022.To analyze the data and test the hypotheses, regression analysis and panel data techniques were employed. The findings indicate that industry operating cash flow volatility has a positive and significant effect on future stock price crash risk. Furthermore, economic policy uncertainty amplifies the positive effect of industry operating cash flow volatility on stock price crash risk. Conversely, conditional conservatism in accounting mitigates the positive relationship between operating cash flow volatility and future stock price crash risk.
Pouyan Mohammadi; hamideh asnaashari; MohammadHosien SafarZade
Abstract
The purpose of financial reporting is to present commercial and economic realities. Hiding these facts can lead to a chain of negative consequences for investors, lenders, customers, suppliers and employees. Meanwhile, there is a growing concern on the complexities involved in financial reporting. To ...
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The purpose of financial reporting is to present commercial and economic realities. Hiding these facts can lead to a chain of negative consequences for investors, lenders, customers, suppliers and employees. Meanwhile, there is a growing concern on the complexities involved in financial reporting. To this end, the present study set out to explain the complexity pattern of financial reporting drawing upon qualitative and grounded theory approaches. The statistical population of the research included experts in the field of financial reporting. using a targeted sampling approach, 26 experts in the field of financial reporting including financial managers, audit committees Chairs, managers of investment funds, partners of audit institutions and Credit managers of banks were selected as participants in the research. The data of the research were collected using the semi-structured interviews. The findings pointed to the complexity of financial reporting as encompassing 12 causes: Understanding the concept of complexity, preparers' knowledge, the company's capital structure, cooperation between institutions, the standard-setting body, the legislative body, the accounting standards, the structure of internal controls, the company's financial position, the company's board of directors, the auditors' skill and the user's ability to identify it as causal conditions. Then according to the contextual conditions (Macro, industry, company and reporting structure) and intervening conditions (the informing, characteristics of Chief financial officer, macro factors and new technologies), several strategies (Appropriate report format, appropriate standardization, application of laws and regulations, and empowerment of human resources and control structure), were developed Afterwards, the consequences including The outcomes of macroeconomic
Marzieh Poursaedi; Mahmood Hematfar; , Seyed Enayatallah Alavi; Roya Nasirzadeh
Abstract
The purpose of this research is modeling the detection of firms financial fraud under the implementation of artificial neural network's evaluation algorithms. In this study, efforts have been made by using Quadratic Programming "QP" processes in artificial neural network algorithms to determine the basic ...
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The purpose of this research is modeling the detection of firms financial fraud under the implementation of artificial neural network's evaluation algorithms. In this study, efforts have been made by using Quadratic Programming "QP" processes in artificial neural network algorithms to determine the basic algorithm in the first place and choose the technical parameters of the artificial neural network in the second place, based on the time data from 2013 to 2022, through several stages. Then, by developing a diagnostic model based on two test and control scales, innovative algorithms that have the highest accuracy coefficients in predicting the accuracy of financial fraud should be investigated at the level of capital market companies. Therefore, based on the systematic sampling process, 95 stock exchange companies were selected, so that based on 950 observations (company-year), the distance between companies with financial health and companies with the possibility of financial fraud was determined through decimalization and the companies placed in the deciles with financial fraud should be examined through the parameters of the artificial neural network's usefulness. The results of the study showed that the unsupervised learning algorithm, which includes a set of evaluation parameters based on meta-heuristic algorithm, has higher accuracy of predictions based on the fulfilled data. Also, the results of predicting the financial frauds of decimated companies based on two selected algorithms, genetic and bee colony, show that the bee colony algorithm has a higher accuracy factor in predicting the probability of fraud of the investigated companies.
Farzaneh Pourmahdi Borujeni; Bahareh Banitalebi Dehkordi; Hamid Reza Jafari Dehkordi
Abstract
The purpose of this based on two analytical bases, in the first place, is to identify the areas of hegemonic powerism spread in audit institutions to provide a paradigmatic theoretical framework and in the second place, the evaluation of the results of the phenomenon of hegemonic powerism in the structure ...
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The purpose of this based on two analytical bases, in the first place, is to identify the areas of hegemonic powerism spread in audit institutions to provide a paradigmatic theoretical framework and in the second place, the evaluation of the results of the phenomenon of hegemonic powerism in the structure of audit institutions is to determine the most central result that reduces the quality of auditors' working life. The methodology of this qualitative study is based on inductive philosophy. It is considered exploratory in terms of purpose and developmental in terms of result. The data collection tool was interview and the participants of this study were experts in accounting knowledge at the university level. The results of the qualitative phase of the study during 13 interviews show the identification of 426 open codes, 46 themes, 14 components (axis) and 8 main categories in the process of ground theory. The results of the quantitative phase of the study also showed that the most central outcome arising from the spread of hegemonic authoritarianism in audit institutions is the emergence of work-family conflicts among auditors. This is a telling result of the problem that the spread of the dominant hegemonic powerism in audit institutions leads the way of interaction of partners with auditors strongly towards conflict and with the reduction of job motivations, which can affect the quality of auditors' professional life.
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