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This paper aims to enumerate the factors influencing the process of decision-making, those which are mostly related to personality affected by cultures and sub-cultures dominating the individual’s life, such as possessing internal and external control agents, tolerating or avoiding ambiguities and its comparison with a belief in fatalism or free will and the effect of these beliefs and traits on the personality.

This paper demonstrates that these beliefs would result in the formation of different personal characteristics; for instance, active and passive individuals and those who are keen to discover problems to solve them and change the existing state of affairs to the desired ones. Some individuals can make decisions and some cannot.

The researcher has tried to make a comparative study and address the genuine Islamic culture as manifested in the Quran, Prophet’s Tradition and Shiite way of life. In this relation, the case studies are the Battle of Uhud and the Quranic verses related to the research to demonstrate that a Muslim manager, by dismissing fatalism while trusting in God’s blessing, could be distinguished from others.

This study adds to our knowledge that managers can make sound decisions by relying on their Shiite culture, self-confidence, rational thinking, consulting the wise people and above all trusting in God.

Fortification-interdiction models provide system designers with a broader perspective to identify and protect vital components. Based on this concept, the authors examine how disruptions impact critical supply systems and propose the most effective protection strategies based on three levels of decision-makers. This paper aims to investigate location and fortification decisions at the first level. Moreover, a redesign problem is presented in the third level to locate backup facilities and reallocate undisrupted facilities following the realization of the disruptive agent decisions at the second level.

To address this problem, the authors develop a tri-level planner-attacker-defender optimization model. The model minimizes investment and demand satisfaction costs and alleviates maximal post-disruption costs. While decisions are decentralized at different levels, the authors develop an integrated solution algorithm to solve the model using the column-and-constraint generation (CCG) method.

The model and the solution approach are tested on a real supply system consisting of several hospitals and demand areas in a region in Iran. Results indicate that incorporating redesign decisions at the third level reduces maximum disruption costs.

The paper makes the following contributions: presenting a novel tri-level optimization model to formulate facility location and interdiction problems simultaneously, considering corrective measures at the third level to reconfigure the system after interdiction, creating a resilient supply system that can fulfill all demands after disruptions, employing a nested CCG method to solve the model.

The purpose of this study paper is to identify and prioritize the factors affecting the knowledge flow in high-tech industries.

This research is applied in terms of purpose and descriptive-survey in terms of data collection method. This research has been done in a qualitative–quantitative method. In the qualitative part, due to the nature of the data in this study, expert interviews have been used. The sample studied in this research includes 35 managers and expert professors with experience in the field of knowledge management working in universities and high-tech industries who have been selected by the method of snowball. In the quantitative part, the questionnaire tool and DANP multivariate decision-making method have been used.

In this study, a multicriteria decision-making technique using a combination of DEMATEL and ANP (DANP) was used to identify and prioritize the factors affecting the knowledge flow in high-tech industries. In this study, the factors affecting the knowledge flow, including 8 main factors and 31 subfactors, were selected. Human resources, organizational structure, organizational culture, knowledge communication, knowledge management tools, knowledge characteristics, laws, policies and regulations and financial resources were effective in improving knowledge flow, respectively.

By studying the research, it was found that the study area is limited, and the previous work has remained at the level of documentation and little practical use has been done. In previous research, the discussion of knowledge flow has not been very open, and doing incomplete work causes limited experiences and increases cost and time wastage, and parallel work may also occur. Therefore, to complete the knowledge management circle and fully achieve the research objectives, as well as to make available and transfer the experiences of people working in this field and also to save time and reduce costs, the contents and factors of previous models have been counted. It is designed for high-tech industries, a model for the flow of knowledge.

The purpose of this paper is to explore the economy of Persian Gulf countries following a post‐oil economy. This is accompanied with a futurology study and planning of certain scenarios that can be applied to these countries.

This study applies a futurology approach by investigating various scenarios to explore the Arab economy after oil. As such, a series of possible policies are proposed that can be undertaken by Arab countries depending on their public policy. Each of the suggested policies involves different scenarios that have been formed and analyzed using an era‐based cellular planning system.

The findings propose three main policies to be undertaken by Arab countries including: investing the oil income in miscellaneous economic baskets in order to minimize the vulnerability and maximize the profits; reducing the oil production in the coming years and transforming the one‐product oil economy to a value added petrochemical economy; and seeking new sources of income and wealth. In addition, findings emphasize the necessity for using renewable and lasting wealth resources and minimizing the dependency of countries on the oil economy.

The proposed scenarios in the study can act as strategic constructs in strengthening the scenario sets in the consecutive years and help develop other scenarios in the future. As such, this paper would be of interest to governmental advisors, strategic planners and policy‐makers involved in studies related to the Middle East.

Water/Al₂O₃ nanofluid with volume fractions of 0, 0.3 and 0.06 was investigated inside a rectangular microchannel. Jet injection of nanofluid was used to enhance the heat transfer under a homogeneous magnetic field with the strengths of Ha = 0, 20 and 40. Both slip velocity and no-slip boundary conditions were used.

The laminar flow was studied using Reynolds numbers of 1, 10 and 50. The results showed that in creep motion state, the constricted cross section caused by fluid jet is not observable and the rise of axial velocity level is only because of the presence of additional size of the microchannel. By increasing the strength of the magnetic field and because of the rise of the Lorentz force, the motion of fluid layers on each other becomes limited.

Because of the limitation of sudden changes of fluid in jet injection areas, the magnetic force compresses the fluid to the bottom wall, and this behavior limits the vertical velocity gradients. In the absence of a magnetic field and under the influence of the velocity boundary layer, the fluid motion has more variations. In creeping velocities of fluid, the presence or absence of the magnetic field does not have an essential effect on Nusselt number enhancement.

In lower velocities of fluid, the effect of the jet is not significant, and the thermal boundary layer affects the entire temperature field. In this case, for Hartmann numbers of 40 and 0, changing the Nusselt number on the heated wall is similar.

Green brands are those brands that obtain attributes and benefits related to the reduction of the brands’ environmental impact. Green brand love is a very important issue for marketing managers. One of the main reasons for this degree of importance is because of the many positive outcomes that green brand love will have for organizations. The purpose of this paper is to evaluate the effect of green brand image, trust and attitude on green brand love among Muslim consumers.

In this study, a cross-sectional survey is conducted based on the questionnaire method to collect data from a sample of 201 consumers of various automobile brands in Isfahan, Iran. Structural equation modeling is used to test the research hypotheses.

The findings show that green brand image has a significant direct effect on green brand attitude, love and trust. In addition, the results indicate that green brand attitude and trust have a significant direct effect on green brand love.

Considering the importance of the issue of automobility and environmental harm, this paper offers new insights to marketing managers of the automotive industry in Iran.

This study is among the first to explore the effect of green brand image, trust and attitude on green brand love.

This study aims to investigate the spatial distribution of housing prices and identify the affecting factors (independent variable) on the cost of residential units (dependent variable).

The method of the present study is descriptive-analytical and has an applied purpose. The used statistical population in this study is the residential units’ price in Tehran in 2021. For this purpose, the average per square meter of residential units in the city neighborhoods was entered in the geographical information system. Two techniques of ordinary least squares regression and geographically weighted regression have been used to analyze housing prices and modeling. Then, the results of the ordinary least squares regression and geographically weighted regression models were compared by using the housing price interpolation map predicted in each model and the accurate housing price interpolation map.

Based on the results, the ordinary least squares regression model has poorly modeled housing prices in the study area. The results of the geographically weighted regression model show that the variables (access rate to sports fields, distance from gas station and water station) have a direct and significant effect. Still, the variable (distance from fault) has a non-significant impact on increasing housing prices at a city level. In addition, to identify the affecting variables of housing prices, the results confirm the desirability of the geographically weighted regression technique in terms of accuracy compared to the ordinary least squares regression technique in explaining housing prices. The results of this study indicate that the housing prices in Tehran are affected by the access level to urban services and facilities.

Identifying factors affecting housing prices helps create sustainable housing in Tehran. Building sustainable housing represents spending less energy during the construction process together with the utilization phase, which ultimately provides housing at an acceptable price for all income deciles. In housing construction, the more you consider the sustainable housing principles, the more sustainable housing you provide and you take a step toward sustainable development. Therefore, sustainable housing is an important planning factor for local authorities and developers. As a result, it is necessary to institutionalize an integrated vision based on the concepts of sustainable development in the field of housing in the Tehran metropolis.

Hepatitis C is one of the major health issues in both developed and developing countries. Hepatitis C virus (HCV) infection is more common in prisoners than in the general population. The purpose of this study was to determine the prevalence of HCV and its associated risk factors in Iranian male prisoners in Tehran.

In this cross-sectional study, the authors investigated the frequency and risk factors of hepatitis C infection among male prisoners in the Great Tehran Prison. Information on risk factors including the length of imprisonment, previous history of imprisonment, history of drug injection, history of tattooing, history of piercing, history of high-risk sex and family history of hepatitis C were extracted from patients’ records. To evaluate HCV status, blood samples were collected and tested.

In this study, 179 participants were included. Nine participants (5.0%, 95% CI, 2.3-9.3) were positive for hepatitis C. HCV infection was not significantly associated with age, marital status, education, previous history of imprisonment, length of imprisonment, piercing and high-risk sex; however, there was a significant association between a history of tattooing and a history of injecting drug use and Hepatitis C.

The prevalence of hepatitis C among male prisoners in Great Tehran Prison was 5% in this study, similar to recent studies on prisoners in Tehran. A history of drug injections as well as tattooing were the most important risk factors for hepatitis C in male prisoners.