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This paper aims to investigate the relationship between corporate governance (CG) and corporate social responsibility (CSR) disclosure in a sample of 64 companies listed on the Tehran Stock Exchange.

This study opts for a descriptive-correlational method. To measure the extent of CSR disclosure and CG variables, companies’ annual reports and websites during 2014-2015 are content analyzed by applying a 64-item checklist. Boards’ size, age, tenure and independence, CEO duality, audit committee (AC) composition and ownership concentration are considered as CG variables. To ascertain the CG–CSR disclosure relationship, multivariate linear regression analysis is incorporated.

Based on the results, audit committee composition, board tenure and ownership concentration positively influence CSR disclosure level with ownership concentration as the most influential variable, that is, in companies with majority shareholders ownership, managers tend to disclose more CSR information.

Only annual reports and company websites are analyzed. Researchers are encouraged to apply other methods such as interview and to consider other variables, such as board diversity, proportion of female members and the extent of shareholders activities, to measure CG.

This paper provides implications at the policy level to identify governance mechanisms to increase CSR awareness of heavy-pollution industries in developing countries.

Studies rarely examined CSR reporting in Iran, particularly among heavy-pollution companies. Besides, the paper highlights the role of majority shareholders and non-executive AC members in CSR disclosure.

The present research is trying to construct the network of relationships between different department of an organization during the design and development of car engine. Analyzing the structure of the network, finding the patterns of collaborations, and determining the important departments are the main purposes of the present research.

Improving relationships during a project life is an effective way to enhance employee performance in project-oriented organizations. This paper examines the collaborative relationships between internal project stakeholders through social network analysis (SNA) in a project for the design and development of car engine. In the first step of the research, the network of internal stakeholders was studied based on collaboration in the common activities performed by the resources. Then, the network of correspondences between internal stakeholders was studied. Finally, the two networks were integrated into a single network.

In the integrated network, the “fuel and combustion department” had the largest degree centrality (i.e. highest collaboration with others). The “integration department” was found to have the highest closeness centrality (i.e. more rapid access to other nodes). Furthermore, the “procurement department” had the highest betweenness centrality (i.e. the most strategic department). Our results revealed the potential capabilities of SNA method for the project management in the vehicle industry.

The obtained results of the present research show us the value of applying SNA methods and concepts to analyze the inter-organizational network of the Project Stakeholders relationship.

This study aims to review the existing literature on corporate-level strategy to develop a conceptual framework of the headquarters’ roles as well as situational factors influencing them.

The systematic review is conducted. Accordingly, 598 studies (published from 1962–2018) were extracted from three databases (ProQuest, EBSCO and Web of Science). Then, after screening and ensuring the quality by the TAPUPAS checklist, 53 articles were systematically analyzed by manual coding method.

In total, 31 interventions in the form of four roles, namely, “value creation,” “value reduction,” “portfolio management“ and “loss prevent“ were identified for headquarters (HQ). Furthermore, four influencing situational factors distinguish “business characteristics,” “headquarters characteristics,” “corporate company characteristics” and “characteristic of the HQ-subsidiary relationships.”

The value of this research can be outlined as: mapping the cutting edge on the topic and systematizes the current knowledge; presenting an integrative, unique conceptual framework of HQs’ roles and influences, and particularly, of situational factors that determine the consequents of the interventions; and producing practical insights for corporate parent managers considering the situational factors influencing HQs’ roles and influences in managing their business portfolio successfully.

Supplier segmentation provides companies with suitable policies to control each segment, thereby saving time and resources. Sustainability has become a mandatory requirement in competitive business environments. This study aims to develop a clustering-based approach to sustainable supplier segmentation.

The characteristics of the suppliers and the aspects of the purchased items were considered simultaneously. The weights of the sub-criteria were determined using the best-worst method. Then, the K-means clustering algorithm was applied to all company suppliers based on four criteria. The proposed model is applied to a real case study to test the performance of the proposed approach.

The results prove that supplier segmentation is more efficient when using clustering algorithms, and the best criteria are selected for sustainable supplier segmentation and managing supplier relationships.

This study integrates sustainability considerations into the supplier segmentation problem using a hybrid approach. The proposed sustainable supplier segmentation is a practical tool that eliminates complexity and presents the possibility of convenient execution. The proposed method helps business owners to elevate their sustainable insights.

Spurred by the high turnover in the pharmaceutical industry, locating pharmacies inside urban areas along with the high product perishability in this industry, the pharmaceutical supply chain management has recently gained increasing attention. Accordingly, this paper unveils an inventory-routing problem for designing a pharmaceutical supply chain with perishable products and time-dependent travel time in an uncertain environment.

In this study, mathematical programming is employed to formulate a multi-graph network affected by the traffic volume in order to adapt to real-world situations. Likewise, by transforming the travel speed function to the travel time function using a step-by-step algorithm, the first-in-first-out property is warranted. Moreover, the Box–Jenkins forecasting method is employed to diminish the demand uncertainty.

An appealing result is that the delivery horizon constraint in the under-study multi-graph network may eventuate in selecting a longer path. Our analysis also indicates that the customers located in the busy places in the city are not predominantly visited in the initial and last delivery horizon, which are the rush times. Moreover, it is concluded that integrating disruption management, routing planning and inventory management in the studied network leads to a reduction of costs in the long term.

Applying the time-dependent travel time with a heterogeneous fleet of vehicles on the multi-graph network, considering perishability in the products for reducing inventory costs, considering multiple trips of transfer fleet, considering disruption impacts on supply chain components and utilizing the Box–Jenkins method to reduce uncertainty are the contributions of the present study.

Increased dietary salt content is one of the effective factors of hypertension and a major public health challenge globally. Although the positive effects of dietary salt reduction on health are universally accepted, people can hardly reduce their salt intake. The purpose of this study is to identify the inhibitory factors of dietary salt reduction among 20–65-year-old women in Yazd City, Iran.

This study was conducted using a deductive content analysis approach based on the communication for the behavioral impact (COMBI) framework. The purposeful sampling method was applied with maximum variation in terms of different educational levels, age groups, occupational status and residential areas to select the participants. Snowball sampling was used to select health-care professionals. Furthermore, semi-structured interviews and focus-group discussions were conducted with 31 local women and 11 health-care professionals working in the City until data saturation was achieved. Data were analyzed using Graneheim and Landsman’s method.

After data analysis, 617 initial codes were extracted over the perceived barriers. After merging similar codes, 223 codes were extracted. The barriers were classified into five main categories of family, personal, organizational, educational and socio-cultural barriers.

Based on the COMBI framework, the results demonstrated that the most important barriers for reducing salt intake were negative attitude toward restrictions on dietary salt intake, insufficient and incorrect beliefs about the health risk of salt, lack of family support, inadequate health literacy and low self-efficacy in Yazd City. Among these barriers, lack of family support was considered as the most effective factor in reducing salt consumption. So, by focusing on this area and providing the community with the required education, the amount of salt consumed by families can be reduced.