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The purpose of this study is to examine the effect of board characteristics on money laundering in Iranian listed companies.

This was a descriptive-correlational study, and in terms of purpose, it was an applied research. The statistical population of this study was all companies listed in Tehran Stock Exchange during the years 2012-2018. A sample of 150 companies was selected by screening method. Data analysis and hypothesis testing were performed using logistic regression and Eviews 10.

The results indicated that the board bonus and CEO duality (chief executive officer duality) had a significant effect on money laundering. CEO gender also had a significant effect on money laundering.

Sound management of risks related to money laundering by the board of directors is associated with stability, soundness and overall health of a country's financial system, which enables the integrity of the international financial system by meeting the Basel Committee goals, including strengthening the regulations, monitoring and improving current procedures, promoting financial stability and maintaining and enhancing a good corporate reputation; however, banks and other financial institutions are exposed to more serious risks, especially the reputation risk, operational risk, etc., if management does not play an effective role in the fight against money laundering. If management considers efficient and risk-driven policies and procedures in the fight against money laundering, then many problems and losses as well as many costs, including failure to collect receivables and to bring legal proceedings, can be prevented.

The purpose of this study is to investigate the effect of corporate social responsibility (CSR) on financial accounting concepts (including the stock return, real earnings management, information asymmetry and financial performance) in Iranian companies listed in stock exchanges.

This is descriptive-correlational and applied research. The statistical population of this research is all companies listed on Tehran Stock Exchange, and the research period is from 2012 to 2018. Using the screening method a sample of 150 companies was selected. Multivariate regression and the software Eviews 10 were used for data analysis and hypothesis testing.

The results indicated that CSR has a significant effect on stock return; however, it does not have a significant effect on real earnings management. CSR has a significant effect on information asymmetry and financial performance.

The present study is the first research conducted on CSR and financial concepts in Iran. The results of this study contribute to the literature by introducing social responsibility to financial accounting variables and provide suggestions for capital market participants. Social responsibility has received growing attention from many companies and managers, as it influences the interests of indirect stakeholders in addition to direct ones. CSR reporting can enhance the development of scientific and cultural skills by promoting a culture of knowledge acquisition and knowledge creation, leading to a reduced gap between the expectations of economic enterprises and the community.

The purpose of the present study is to investigate the impact of audit features, including audit quality, audit fees and auditor tenure on money laundering in Iranian stock companies.

This research is descriptive-correlational and applied in terms of purpose. To evaluate the audit features, variables including audit quality, audit fee and auditor tenure were used. The statistical population of this study includes all companies listed in Tehran Stock Exchange and the research period from 2012 to 2018. A sample of 150 companies was selected by the screening method. In this study, logistic regression and Eviews 10 software were used for data analysis and hypothesis testing.

The results showed that variables including audit quality, normal audit fee and auditor tenure have a significant effect on money laundering.

Observing money laundering rules and regulations for businesses involves is a critical issue. In auditing the financial statements of the business units subject to these laws, the auditor reviews their actions to obtain reasonable assurance of guaranteeing the money laundering laws, evaluates their effectiveness and gains approval of managers regarding observing laundering regulations. In this regard, the auditor is required to report definitive or suspected money-laundering cases or its certain or suspected evidence to the relevant authorities. Although the law prohibits the auditor from disclosing such matters to the client, it is not necessary. It seems that even if the auditors perform non-audit functions, they should report money laundering or suspicious operations and transactions.

The main objective of the present study is to assess the potential impact of readability of financial statement notes on the auditor's report lag, audit fees and going concern opinion (GCO).

The statistical population of this study includes all listed firms on the Tehran Stock Exchange (TSE) for the period of 2012–2017. The systematic elimination method is used for sampling and multiple regression and EViews software are used for testing the hypothesis models.

The obtained results show that there is a significant and positive relationship between audit report lags and readability of financial statements. Moreover, it is also revealed that readability of financial statements is positively associated with audit fees. Furthermore, the findings suggest a negative correlation between readability indexes and issuing GCOs, denoting hard-to-read statements is considered as a risk factor by auditors. Finally, the observations of our robustness tests suggest that the association between audit report lag and readability of financial statements is robust.

This is the first conducted investigation concerning auditor's response to the readability of financial statement notes in TSE. The outcome of current paper may pave the way for revising and developing Iranian accounting standards in order to give a fairer and clearer picture of financial reports.

The purpose of this study is to investigate the effect of board and audit committee characteristics on corporate social responsibility (CSR) in Iranian companies listed in stock exchanges.

This is a descriptive-correlational and an applied research. The statistical population of this research is all companies listed in Tehran Stock Exchange and the research period is from 2012 to 2018. Using screening method a sample of 150 companies was selected. Multivariate regression and the software Eviews 10 were used for data analysis and hypothesis testing.

The results indicated that board size had a significant effect on CSR; board independence had a significant effect on CSR; managerial ownership did not have a significant effect on CSR; CEO duality did not have a significant effect on CSR; audit committee size had a significant effect on CSR; audit committee independence had a significant effect on CSR; and financial expertise of audit committee members had a significant effect on CSR.

The present study is the first research performed on the effect of board and audit committee characteristics on CSR in Iran. The results of this study contribute to the literature on the effect of board and audit committee characteristics on CSR and provide suggestions for capital market participants. CSR helps reduce asymmetric distribution of information among the internal and external organizational entities and reduce agency problems and conflicts among different groups. Based on the results, an effective audit committee as an effective mechanism enhances the credibility of financial and non-financial reporting such as social responsibility, which means that an effective audit committee can improve the level of voluntary disclosure of information through effective oversight of the reporting process. It is also suggested that companies focus on audit committee characteristics to increase the level of CSR.

The present research aims to compare information-seeking behaviour of ordinary and elite saffron farmers in Iran.

The study sample consisted of 375 saffron farmers (295 ordinary and 80 elite saffron farmers) selected using the cluster sampling method. Data were collected by a kind of researcher-made questionnaire.

The results showed saffron onion, pesticides, cultivators and farmland worker were the main components of saffron farmers’ information-seeking behaviour of both groups. The most important sources of information for both groups included reference to past experience, neighbouring saffron farmers, contact with informants and other family members. The main criteria which affected the behaviour of the two groups on the use of information sources were provided information in local language, native people, clear and intelligible information and low cost. Farmers were also confronted with common problems such as lack of attention to the needs of farmers and insufficient number of technical experts. It was also found that there was no significant relationship between information-seeking behaviour of elite and ordinary saffron farmers and their performance.

Saffron is one of the most important agricultural export products in Iran, and this paper is the first research in this subject. The results can help develop information-seeking behaviour of farmers.

Given the importance of estimating the demand for relief items in earthquake disaster, this research studies the complex nature of demand uncertainty in a vehicle routing problem in order to distribute first aid relief items in the post disaster phase, where routes are subject to disruption.

To cope with such kind of uncertainty, the demand rate of relief items is considered as a random fuzzy variable and a robust scenario-based possibilistic-stochastic programming model is elaborated. The results are presented and reported on a real case study of earthquake, along with sensitivity analysis through some important parameters.

The results show that the demand satisfaction level in the proposed model is significantly higher than the traditional scenario-based stochastic programming model.

In reality, in the occurrence of a disaster, demand rate has a mixture nature of objective and subjective and should be represented through possibility and probability theories simultaneously. But so far, in studies related to this domain, demand parameter is not considered in hybrid uncertainty. The worth of considering hybrid uncertainty in this study is clarified by supplementing the contribution with presenting a robust possibilistic programming approach and disruption assumption on roads.

This study aims to present an analysis on heat transfer attributes of fluid-particle interaction over a permeable elastic sheet. The fluid streaming on the sheet is Casson fluid (CF) with uniform distribution of dust particles.

The basic steady equations of the CF and dust phases are in the form of partial differential equations (PDEs) which are remodeled into ordinary ones with the aid of similarity transformations. In addition to analytical solution, numerical solution is obtained for the reduced coupled non-linear ordinary differential equations (ODEs) to validate the results.

The solution seems to be influenced by significant physical parameters such as CF parameter, magnetic parameter, suction parameter, fluid particle interaction parameter, Prandtl number, Eckert number and number density. The impact of these parameters on flow field and temperature for both fluid and dust phases is presented in the form of graphs and discussed in detail. The effect on skin friction coefficient and heat transfer rate is also presented in tabular form. It has been observed that an increase in the CF parameter curtails the fluid velocity as well as the particle velocity however enhances the heat transfer rate at the wall. Furthermore, comparison of the numerical and analytical solution is also made and found to be in excellent agreement.

Although the analysis of dusty fluid flow has been widely examined, however, the present study obtained both analytical and numerical results of power law temperature distribution in dusty Casson fluid under the influence of magnetic field which are new and original for such type of flow.

This paper aims to present a hybrid model to mid-term forecast the load of transmission substations based on the knowledge of expert site and multi-objective posterior framework. The main important challenges in load forecasting are the different behavior of load in specific days. Regular days, holidays and special holidays, days after a holidays and days of load shifting are characterized by abnormal load profiles. The knowledge of these days is verified by expert operators in regional dispatching centers.

In this paper, a hybrid model for power prediction of transmission substations based on the combination of similar day selection and multi-objective posterior technique has been proposed. In the first step, the important data for prediction is provided. Posterior method is used in the second step for prediction that it is based on kernel functions. A multi-objective optimization has been formulated with three type of output accuracy measurement function that it is solved by non-dominated sorting genetic technique II (NSGT-II) method. TOPSIS way is used to find the best point of Pareto.

The presented method has been tested in four scenarios for three different transmission stations, and the test results have been compared. The presented results indicate that the presentation method has better results and is robust to different load characteristics, which can be used for better forecasting of different stations for better planning of repairs and network operation.

The main contributions of this paper can be categorized as follows: A hybrid model based on similar days selection and multi-objective framework posterior is presented. Similar day selection is done by expert site that the day type and days with scheduled repair are considered. Hyperparameters of posterior process are found by NSGT-II based on TOPSIS method.

The purpose of this study is to use the method of lines to solve the two-dimensional nonlinear advection–diffusion–reaction equation with variable coefficients.

The strictly positive definite radial basis functions collocation method together with the decomposition of the interpolation matrix is used to turn the problem into a system of nonlinear first-order differential equations. Then a numerical solution of this system is computed by changing in the classical fourth-order Runge–Kutta method as well.

Several test problems are provided to confirm the validity and efficiently of the proposed method.

For the first time, some famous examples are solved by using the proposed high-order technique.