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The purpose of this paper is to examine the association between corporate environmental disclosure quality (EDQ) and earnings quality (EQ).

The paper uses earnings persistence and accruals quality as a measures of EQ. The paper also uses panel data regression to examine the association between EDQ and EQ for a sample of 107 Iran non-financial firms. Two different theoretical frameworks are used to clarify whether and to what extent an association may exist as an explicit relationship between EDQ and EQ.

After controlling for several firm-specific characteristics, the results show that between 2011 and 2016, there has been a significant positive relationship between EDQ and EQ.

This study sheds light on the relevance of regulating corporate reporting within a setting where companies are already voluntarily reporting on environmental information. Findings have implications for policymakers who have mandated or considering mandating environmental reporting. To the policymakers, in particular, this study highlights the need for incorporating, within the listing rules, minimum requirements in relation to the nature and content of environmental reports.

The findings have implications for stakeholders in terms of effective information quality. The findings are important as more environmentally responsible firms may provide higher quality, more reliable and more transparent information to meet the ethical expectations of stakeholders.

This is the first study in Iran that considered the impact of EDQ on EQ. This study contributes to the literature on the relationship between EDQ and EQ by showing that the EDQ in Iran is associated with the EQ.

Due to the randomness and unpredictability of many disasters, it is essential to be prepared to face difficult conditions after a disaster to reduce human casualties and meet the needs of the people. After the disaster, one of the most essential measures is to deliver relief supplies to those affected by the disaster. Therefore, this paper aims to assign demand points to the warehouses as well as routing their related relief vehicles after a disaster considering convergence in the border warehouses.

This research proposes a multi-objective, multi-commodity and multi-period queueing-inventory-routing problem in which a queuing system has been applied to reduce the congestion in the borders of the affected zones. To show the validity of the proposed model, a small-size problem has been solved using exact methods. Moreover, to deal with the complexity of the problem, a metaheuristic algorithm has been utilized to solve the large dimensions of the problem. Finally, various sensitivity analyses have been performed to determine the effects of different parameters on the optimal response.

According to the results, the proposed model can optimize the objective functions simultaneously, in which decision-makers can determine their priority according to the condition by using the sensitivity analysis results.

The focus of the research is on delivering relief items to the affected people on time and at the lowest cost, in addition to preventing long queues at the entrances to the affected areas.

The purpose of this article is to investigate the relationship between environmental disclosure quality (EDQ) and risk and to further examine whether corporate governance (CG) practices moderate this relationship.

This study uses a set of unique, hand collected data (from 2011 to 2016) to measure EDQ for a sample of 762 firm-years Iranian listed companies. Ordinary least squares regression analysis is performed in testing hypotheses after controlling for a variety of firm, industry and year effects. Moreover, several analyses are performed to establish the robustness of the findings.

The results indicate a negative association between EDQ and firm risk. While board independence moderates this relationship, other CG practices such as CEO duality and board size do not show any effects on the relationship between EDQ and risk. The results remain robust after performing sensitivity tests and under various specifications, including the fixed-effects panel data and Heckman two-stage regressions.

Results are from a sample of firms from one country.

The results have implications for policymakers, legislators and corporate executives, as environmental initiatives are gaining more attention worldwide.

Sustainability initiatives in the areas of environmental and social performance and disclosure are gaining global attention. This study addresses the link between firm risk and EDQ.

This study contributes to the literature by shedding light on the relationship between corporate risk-taking and EDQ in the context of a developing economy.

Every day, small and big incidents happen all over the world, and given the human, financial and spiritual damage they cause, proper planning should be sought to deal with them so they can be appropriately managed in times of crisis. This study aims to examine humanitarian supply chain models.

A new model is developed to pursue the necessary relations in an optimal way that will minimize human, financial and moral losses. In this developed model, in order to optimize the problem and minimize the amount of human and financial losses, the following subjects have been applied: magnitude of the areas in which an accident may occur as obtained by multiple attribute decision-making methods, the distances between relief centers, the number of available rescuers, the number of rescuers required and the risk level of each patient which is determined using previous data and machine learning (ML) algorithms.

For this purpose, a case study in the east of Tehran has been conducted. According to the results obtained from the algorithms, problem modeling and case study, the accuracy of the proposed model is evaluated very well.

Obtaining each injured person's priority using ML techniques and each area's importance or risk level, besides developing a bi-objective mathematical model and using multiple attribute decision-making methods, make this study unique among very few studies that concern ML in the humanitarian supply chain. Moreover, the findings validate the results and the model's functionality very well.

This study aims to link environmental disclosure quality (EDQ) to firm performance and examine the moderating role of board independence in this relationship.

Drawing on agency theory and stakeholder theory, the authors developed and tested hypotheses using original survey data from 720 firm-year observations collected from 120 Iranian companies over six years between 2011 and 2016. In this paper, they conducted static and dynamic panel data analysis.

After correcting for endogeneity bias, the results showed that there is a significant positive relationship between EDQ and firm performance. The results also showed that board independence significantly reinforces the positive effect of EDQ on performance, and firms with more independent board members are involved environmental disclosure for improved performance. This is consistent with agency theory, which posits that a more independent board of directors can better monitor the CEO and reduce incentives for pursuing personal interests, which in turn improves performance. The results are robust after performing sensitivity tests.

This paper takes the perspective of corporate governance to empirically examine the effect of EDQ on firm performance. This study makes a contribution to the literature by showing that board independence moderates the effects of EDQ on firm performance.

The evidence supports the emphasis that recent policy statements have put on increasing the number of independent directors on corporate boards. This study offers insights to policymakers interested in enhancing the monitoring role of corporate boards.

The study adds value to the understanding of the effect of the EDQ on performance and how board independence influences this relationship, particularly in an emerging economy like Iran.

In recent decades, the student population in dormitories has increased notably, primarily attributed to the growing number of international students. Dormitories serve as pivotal environments for student development. The coordination and compatibility among students can significantly influence their overall success. This study aims to introduce an innovative method for roommate selection and room allocation within dormitory settings.

In this study, initially, using multi-attribute decision-making methods including the Bayesian best-worst method and weighted aggregated sum product assessment, the incompatibility rate among pairs of students is calculated. Subsequently, using a linear mathematical model, roommates are selected and allocated to dormitory rooms pursuing the twin objectives of minimizing the total incompatibility rate and costs. Finally, the grasshopper optimization algorithm is applied to solve large-sized instances.

The results demonstrate the effectiveness of the proposed method in comparison to two common alternatives, i.e. random allocation and preference-based allocation. Moreover, the proposed method’s applicability extends beyond its current context, making it suitable for addressing various matching problems, including crew pairing and classmate pairing.

This novel method for roommate selection and room allocation enhances decision-making for optimal dormitory arrangements. Inspired by a real-world problem faced by the authors, this study strives to offer a robust solution to this problem.

This study aims to examine the impact of board female participation on Australian firms’ innovation.

Data are from the 500 largest Australian Securities Exchange (ASX)-listed companies for 2004–2015. Measures of innovation concern input (research and development expenditure and intangible assets) and output (patents registered) indicators.

A positive and significant association exists between female director participation and firm innovation activity. This association exists across industry classifications independent of technological importance and is particularly driven by materials and health-care sectors. Findings support calls for more board diversity in line with board female membership positively influencing innovative investment and development activities.

The economic efficacy of the latest revisions to the ASX Corporate Governance Council principles and recommendations (“ASX CGC revisions”) is supported. Diverse boards are a strong source of innovation. Regulators and corporations can use the findings to establish principles and practices that promote female board diversity.

This study is the first to examine the link between board diversity and corporate innovation in Australia where there is under-representation of women on corporate boards and in key management positions. Also lacking are formal legislative or governance policy mandates on board gender diversity. Beyond confirming a positive association between board diversity and levels of corporate innovation, this paper provides new findings that this relationship is driven by women who are non-executive (independent) directors, independent of the underlying technology intensity of firms and moderated by the nature of firm-level profitability and growth opportunities.

Nowadays, in many organizations, products are not delivered instantly. So, the customers should wait to receive their needed products, which will form a queueing-inventory model. Waiting a long time in the queue to receive products may cause dissatisfaction and churn of loyal customers, which can be a significant loss for organizations. Although many studies have been done on queueing-inventory models, more practical models in this area are needed, such as considering customer prioritization. Moreover, in many models, minimizing the total cost for the organization has been overlooked.

This paper will compare several machine learning (ML) algorithms to prioritize customers. Moreover, benefiting from the best ML algorithm, customers will be categorized into different classes based on their value and importance. Finally, a mathematical model will be developed to determine the allocation policy of on-hand products to each group of customers through multi-channel service retailing to minimize the organization’s total costs and increase the loyal customers' satisfaction level.

To investigate the application of the proposed method, a real-life case study on vaccine distribution at Imam Khomeini Hospital in Tehran has been addressed to ensure model validation. The proposed model’s accuracy was assessed as excellent based on the results generated by the ML algorithms, problem modeling and case study.

Prioritizing customers based on their value with the help of ML algorithms and optimizing the waiting queues to reduce customers' waiting time based on a mathematical model could lead to an increase in satisfaction levels among loyal customers and prevent their churn. This study’s uniqueness lies in its focus on determining the policy in which customers receive products based on their value in the queue, which is a relatively rare topic of research in queueing management systems. Additionally, the results obtained from the study provide strong validation for the model’s functionality.

The purpose of this study is to examine the impact of financial statement comparability as a qualitative feature of financial reporting on cash holdings and the mediating role of disclosure quality and financing constraints in firms listed on the Tehran Stock Exchange (TSE).

Using panel data from 110 TSE-listed firms from 2011 to 2017 in Iran, this study uses the regression analysis to examine the research hypotheses. The first hypothesis examines the relationship between financial statements comparability and cash holdings and two other hypotheses examine the mediating role of financing constraints and disclosure quality in this relationship.

Based on pecking-order theory and institutional context of Iranian firms, the results show that financial reporting comparability has a significant negative impact on corporate cash holdings. The results also show that disclosure quality and financing constraints have no mediating role in the relationship between accounting comparability and cash holdings. The robustness tests with alternative measures of accounting comparability and cash holdings support the findings of this study.

The limitations of this study are as follows: limited number of TSE companies that have necessary data to conduct research; and using the disclosure quality scores provided by TSE organization.

The findings suggest that creditors should consider the financial status and also the quality of financial reporting of companies, before granting credit to them. It is also recommended that regulators in the capital market publish the ratings of companies in terms of financial statement comparability alongside the disclosure ratings and a continuous regulatory oversight on companies.

To the best of the authors’ knowledge, this is the first empirical research on the effect of accounting comparability on the level of cash holdings that examines the mediating role of financing constraints in the context of Iran market as an emerging economy. Moreover, this is the first empirical research that studies the effect of disclosure quality on this relationship.

The purpose of this paper is to analyze the role of intellectual capital (IC) and its relationship with financial performance of Iran insurance companies during the period 2005‐2007.

In total, 39 insurance companies were selected as the sample. Regression model (partial least squares) has been applied to examine the relationship between IC and companies' return on assets ratio (ROA).

The results of the research revealed that value added intellectual capital and its components have a significant positive relationship with companies' profitability.

The VAIC™ method could be an important means for many decision makers to integrate IC in their decision‐making process, which allows insurance companies to benchmark themselves according to the IC efficiencies and develop strategies to enhance their company's performance.

This is the first research, which has used the data on value added recently calculated and published by Iran insurance firms in the “Value Added Scoreboard”.