نشریه پژوهش های حسابداری مالی و حسابرسی
پیاپی 60 (زمستان 1402)

 The purpose of this study is to investigate the effect of different teaching methods on the academic achievement of accounting students in order to determine the most effective teaching method experimentally and thus can improve academic achievement among accounting students. In this regard, using the traditional approach as well as new educational approaches, including the big data approach and comparing them with each other, their effect on students' academic achievement was examined. The population of this study includes all accounting students who were studying at the undergraduate level of Islamic Azad University, Shiraz in the academic year 1399-1398 and the study sample includes 247 students. In this research, using laboratory method and pre-test-post-test design, two experimental groups with traditional approaches and big data participated in Advanced Accounting 2, Cost Accounting 2 and Auditing 1. For each lesson, a group was considered as a control group. Data analysis was performed using structural equation modeling, Mann-Whitney nonparametric test and hierarchical regression. Findings showed that both big data teaching methods and traditional teaching methods have a significant positive effect on students' academic achievement. Also, the research findings showed that the effect of big data method education on the academic achievement of accounting students is more than traditional method education. The research results emphasize the need for big data method education in the accounting education program at the undergraduate level to increase students' knowledge. Findings also showed that the effect of traditional education and big data on academic achievement of accounting students in advanced Accounting 2, Cost Accounting 2 and Auditing 1, by controlling the variables of gender and grade point average of students has been positive and increased.

Environmental uncertainty refers to the unpredictability and complexity of factors surrounding the company that can affect the company's operations, strategy, and results. Companies must navigate this uncertainty to make informed decisions and effectively adapt to changing circumstances. The main goal of this research is to explain a model for measuring companies' environmental uncertainty from the perspective of theoretical foundations and experimental research. For this purpose, using the statistical method of principal components analysis, among several criteria, a suitable criterion is selected for each component of environmental uncertainty, and in the next step, by weighting each component, the degree of environmental uncertainty of each company is measured. Then the effect of this variable is tested with the fluctuation of financial characteristics of companies. In this regard, the data of 131 companies were extracted, and multivariate regression analysis was used to test the research hypotheses. The obtained results show that with the increase of environmental uncertainty, the fluctuation of profitability, fluctuation of cash and fluctuation of debt cost of companies increases. Because in the conditions of environmental uncertainty, companies face challenges in accurately predicting demand, pricing and future costs, which can affect their profit margins, cash holdings and debt costs. In addition, the increase in environmental uncertainty has no significant relationship with the increase in the fluctuation of stock returns, the fluctuation of financial leverage, and the fluctuation of dividends paid by companies.

 This study examines the relationship between accounting comparability and the quality of financial reporting and the pricing efficiency of discretionary accruals, taking the view that comparability improves the information environment and not only enhances the ability of managers to accurately assess liabilities, it also improves investors' understanding of commitments. The investigation companies included 71 companies during the years 2012 to 2019. In this study, Di Franco's (2011) model for accounting comparability, Kotari et al. (2005) and Kaznik's (1999) models for financial reporting quality, and McNichols' (2002) model for accruals were used. The findings showed that increasing the comparability of financial statements reduced the absolute value of accruals and the lower the amount, the higher the quality of financial reporting. Overall, the obtained results revealed that comparability is associated with higher quality financial reporting, as comparability improves the accrual estimation process and the ability to signal future performance. Further, it was concluded that accountability comparability has a negative relationship with the pricing efficiency of optional accruals. In other words, the higher comparability of financial statements in the previous year has increased the perception of users regarding the financial statements of pricing of accruals. Accordingly, the more negative the coefficient of the variable, the higher the understanding of investors. We also found that when comparability was greater, the investors did not respond so strongly to optional accruals.

The purpose of this study was to investigate the relationship between management overconfidence and social responsibility, to investigate the relationship between corporate social responsibility and performance with the moderating role of managerial overconfidence and to investigate the relationship between corporate responsibility and corporate performance with the role of moderating financial constraints. This study is an appliedresearch in terms of purpose and a descriptive-correlation research in terms of nature and method. The statistical population of this research is the companies listed on the Tehran Stock Exchange. Using the data collected from the statistical sample of the research, which includes 138 companies, the research hypotheses were tested. To calculate managerial overconfidence, the capital expenditure ratio was used and to calculate the corporate social responsibility index, data envelopment analysis (DEA) method was used. Social accountability Data envelopment analysis method was used. The results show that managerial overconfidence has a positive and significant relationship with corporate social responsibility. Also, managerial overconfidence weakens the relationship between corporate social responsibility and company performance, and financial constraints do not moderate the relationship between corporate social responsibility and company performance.

In this research, using the market timing theory and the revised theory of pecking order, the factors affecting the choice of financing method are identified and prioritized. In this study, data of 183 companies listed on the Tehran Stock Exchange were collected. To collect information and data, the library method was used and in order to investigate the relationships between variables and test the hypotheses, the multiple regression model in Eviews software version 10 was used. The main hypotheses of this research are based on the fact that in order to make management decisions about the optimal capital structure of the company, we can act based on the model of market timing theory and revised theory of pecking order. In the results of this study, the companies in order to finance themselves, in fact, follow the theory of pecking order and market timing. The research findings show a non-linear ᴜ shape relationship between debt and deficit changes and a direct linear relationship between capital and deficit changes. Also, testing the model related to market timing shows a positive and significant relationship between the weighted average of external financing and capital structure.

Choosing an auditor is one of the most important decisions made by the shareholders of a company. Therefore, the current research was conducted with the aim of investigating the effect of auditor selection on the quality of financial reporting of companies admitted to the Tehran Stock Exchange. For this purpose, the information of 133 companies admitted to the Tehran Stock Exchange was extracted based on the research variables through the Rahvard Nowin software and analyzed with the help of the regression of the generalized least squares method with the panel data approach and in the form of fixed effects. In order to measure the quality of financial reporting, discretionary accruals adjusted based on performance have been used. The results of the research hypothesis test showed that the selection of the auditor has a positive and significant effect on the quality of financial reporting of companies admitted to the Tehran Stock Exchange, and the research hypothesis is confirmed at the 95% confidence level. In other words, the selection of auditors with higher quality and trained staff leads to an increase in audit quality and subsequently to an increase in the quality of financial reporting.

Stock price crash is referred to as the risk of a huge decline in stock prices upon some sudden release of negative information in the market. In a general sense, the formation and change of stock prices are the result of the comprehensive effect of macroeconomic political and economic factors, industry factors, internal operating conditions of enterprises and emergency events. this study aims to investigate the association between Firm’ Financial Status and Future stock price crash risk with emphasis on the role of firm’s Internal Control Quality. to do so, the research hypotheses were tested using the data of 126 firms listed in Tehran Stocks Exchange, as well as logistic regression analysis. the results of testing the hypotheses showed that there is a negative and significant relationship between Firm’ Financial Status and Future stock price crash risk. Furthermore, the research findings indicate that firm’s internal control quality exacerbates the negative relationship between Financial Status and Future stock price crash risk.

The present research was conducted with the aim of designing an internationalization model based on the networking approach in the food industry using a qualitative method of the grounded theory type. The data of this research was derived from in-depth and semi-structured interviews with 15 managers and experts of the food industry, which was based on targeted sampling depending on the selection criteria and continued until the theoretical saturation of this process was reached. The validity of the research data was checked and confirmed by going back to the participants and external auditors. Data analysis was done based on the Strauss and Corbin model in the form of open, axial, and selective coding in the Atlas TA 8 software. The results showed causal conditions (international development, production economy limitations and opportunities and challenges of change in the food industry), contextual conditions (content and structural capabilities and legal and scientific considerations), intervening conditions (political economy, environmental interventions and business development challenges) strategic conditions. (global development strategies, network creativity strategy, development of network resources and development of new products) consequences (improvement of brand social capital, development of international market and development of capabilities of food industry). It was also found that the application of international financial reporting standards improves the process of identifying and measuring transactions, assets and liabilities, increases the quality of presentation and disclosure of financial statement components, and the overall quality of financial reporting.

The purpose of this research was to design a structural model of local factors affecting behavioral management accounting. The research method was qualitative and quantitative. Research information was collected through interviews. The statistical population of the research included experts, professors and specialists in the field of management accounting and behavioral sciences, and the number of interviewees was about 16 people. The sampling method was in the form of a snowball, in which the interviewees were asked to introduce people who are knowledgeable about the research topic to conduct subsequent interviews. Primary data were collected through interviews. According to the methodological process, during the three stages of open coding, central coding and selective coding, firstly, the codes related to the topic were identified from the large number of primary data types; Then, in the method of continuous comparison, a concept was extracted from several codes, and in the same way, other codes were also converted into concepts, until finally 20 categories and 100 concepts were obtained. In the next step, the obtained indicators were designed in the form of a questionnaire, and 58 completed questionnaires were collected among the second statistical population, i.e. the activists and employees of the field of management accounting in the capital market, who were available, and the data obtained in the quantitative part of the research. were analyzed and the findings of the research showed that 4 categories appeared as the central categories which include: judgment of accountants, judgment and decision making of people, behavioral factors, evaluation and control. Other categories to be presented in the visual model were placed in five categories of causal conditions (4 categories), background or context (2 categories), intervening conditions (4 categories), strategies (3 categories), consequences (3 categories). Next, based on the indicators, components, concepts and categories of the proposed model, a questionnaire of 100 questions was developed and based on the collected data, the relations of the proposed model were examined, and finally the results showed the significance of the relations and components of the model.  Therefore, it can be claimed that all existing structural relationships have been confirmed and the quantitative analysis is valid on the accuracy and reliability of the results of the qualitative analysis. Therefore, the results of the confirmatory factor analysis indicate the overall fit of this component (causal condition variable, central, strategies, context, interventionist, and consequences) of the proposed model with the data and indicate the proper fit of this part of the measurement model.

Nowdays, the capital market in developing countries is considered as a tool to increase investment and economic growth. Since efficiency is the main and most The purpose of this study was to Investigate strong shareholder rights on the internal capital allocation efficiency, the role of competition and external financing in companies listed on the Tehran Stock Exchange.The spatial domain of this research was the companies listed in the Tehran Stock Exchange . In this research, the rights of the strong shareholders of the independent variable and the efficiency of internal capital allocation  of the dependent variable were considered..In the data section of the study, data were collected from sample companies by referring to financial statements, explanatory notes and stock exchange monthly.Based on systematic elimination method, 100 companies were selected as statistical sample.Descriptive and inferential statistics were used to describe and summarize the data collected.In order to analyze the data, pre-tests of variance homogeneity, F-Lemer test, Hausman test, and Dicky-Fuller  test and then multivariate regression test were used to confirm and reject the research hypotheses (EViews  software).The results showed that strong shareholder rights significantly increase the internal capital allocation efficiency.However, the moderating effect of market competition and external financing needs is not found to be significant.