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Article
Publication date: 9 April 2020

Shaban Mohammadi, Hadi Saeidi and Nader Naghshbandi

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

Abstract

Purpose

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

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Journal of Money Laundering Control, vol. 23 no. 4
Type: Research Article
ISSN: 1368-5201

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Article
Publication date: 7 April 2020

Shaban Mohammadi, Nader Naghshbandi and Zahra Moridahmadibezdi

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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

Originality/value

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.

Details

Journal of Money Laundering Control, vol. 23 no. 4
Type: Research Article
ISSN: 1368-5201

Keywords

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Article
Publication date: 4 June 2020

Mahdi Salehi, Mahmoud Lari Dasht Bayaz, Shaban Mohammadi, Mohammad Seddigh Adibian and Seyed Hamed Fahimifard

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…

Abstract

Purpose

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).

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

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Article
Publication date: 18 August 2020

Shaban Mohammadi, Hadi Saeidi and Nader Naghshbandi

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

International Journal of Productivity and Performance Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0401

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Article
Publication date: 3 April 2017

Iraj Radad, Hassan Behzadi and Somayeh Zadehrahim

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

Abstract

Purpose

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

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

The Electronic Library, vol. 35 no. 2
Type: Research Article
ISSN: 0264-0473

Keywords

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Article
Publication date: 15 August 2019

Jafar Hasnain, Zaheer Abbas, Mariam Sheikh and Shaban Aly

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 30 no. 6
Type: Research Article
ISSN: 0961-5539

Keywords

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Article
Publication date: 19 July 2021

Hassan Abdolrezaei, Hassan Siahkali and Javad Olamaei

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Journal of Engineering, Design and Technology , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1726-0531

Keywords

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Article
Publication date: 23 August 2021

Hamid Mesgarani, Mahya Kermani and Mostafa Abbaszadeh

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.

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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

Originality/value

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

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0961-5539

Keywords

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Article
Publication date: 18 February 2020

Anil Kumar, Rohit Kr Singh and Sachin Modgil

This paper presents the concerns in agri-food supply chain. Further the research investigates the role of information and communication technology (ICT) in agri-food…

Abstract

Purpose

This paper presents the concerns in agri-food supply chain. Further the research investigates the role of information and communication technology (ICT) in agri-food supply chain and determines the impact of supply chain management (SCM) practices on firm performance.

Design/methodology/approach

The theoretical framework was proposed for the study on the basis of existing literature. Data for the study was collected with the help of structured questionnaire from 121 executives and officers of the public food distribution agency. Partial least square (PLS)–structured equation modeling was employed to test the framework and hypotheses.

Findings

The results indicate that ICT and SCM practices (logistics integration and supplier relationships) have a significant relationship. Furthermore, SCM practices (information sharing, supplier relationship and logistics integration) have a significant and positive impact on performance of the organization.

Research limitations/implications

Further research could be carried out to test the moderation effect of SCM practices between ICT and organizational performance (OP). Extending the research study to the companies operating in other sectors can enhance the external validity of the study and improve the accuracy of parameters examined.

Practical implications

This study can be of interest to the agri-food industry as well as other industry practitioners interested in improving the performance of the organization from the view of supply chain.

Originality/value

The outcomes of this study have important implications that translate into a series of recommendations for the management of public food distribution as well as other agri-food-based supply chains.

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Article
Publication date: 25 May 2018

Khaoula Nasr, Michele Fedel, Khaled Essalah, Flavio Deflorian and Nebil Souissi

This study aims to investigate the inhibition performance of an aqueous extract of Matricaria recutita chamomile on the corrosion of S235JR steel in 0.5 M NaCl by using…

Abstract

Purpose

This study aims to investigate the inhibition performance of an aqueous extract of Matricaria recutita chamomile on the corrosion of S235JR steel in 0.5 M NaCl by using electrochemical impedance spectroscopy (EIS) and polarization measurements.

Design/methodology/approach

The inhibition performance was investigated using EIS and polarization measurements. Surface analysis demonstrates the presence of a protective layer on the steel surface in the presence of the extract. Quantum chemical parameters calculated for the molecules contained in the aqueous extract are interpreted to predict the corrosion inhibition efficiency of the considered extract.

Findings

The inhibition efficiency of chamomile aqueous extract for S235JR steel increases with increasing amounts of plant concentration and with an increase in the immersion time. The optimal inhibition efficiency of chamomile extract, 98.90 per cent, was achieved for S235JR steel when immersed in 15 per cent v/v of extract concentration for 2 h. The surface analysis in the absence and presence of the chamomile extract confirmed the formation of a protective layer on steel surface. The quantum chemical calculations allowed to explain the great inhibition efficiency values by interpreting the calculated quantum parameters.

Originality/value

This is the first study carrying out an experimental and theoretical investigation on M. recutita chamomile as a green corrosion inhibitor, with interesting potential industrial applications.

Details

Anti-Corrosion Methods and Materials, vol. 65 no. 3
Type: Research Article
ISSN: 0003-5599

Keywords

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