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The purpose of this paper is to numerically investigate the heat transfer enhancement in a tube filled partially with porous media under non-uniform porosity distribution and thermal dispersion effects. The optimum porous thickness ratio [R_(r,Nu)] for the heat transfer enhancement under these conditions with and without considering required pumping power is evaluated.

The local thermal non-equilibrium and Darcy–Brinkman–Forchheimer models are used to simulated thermal and flow fields in porous region. The tube wall and flow regime are assumed to be isothermal and laminar, respectively. The impacts of Darcy number (Da = 10^-6 - 10^-1) and inertia parameter (F = 0 − 2) on the Nusselt number and friction factor are studied for non-uniform porosity distribution.

First, the effect of Nusselt number indicates that there are two different behaviors with respect to uniform and non-uniform porosity for partially and fully filled porous pipe. Second, variable porosity in porous region has significant influence on the optimum thickness ratio with considering required pumping power. For negligible inertia term, it depends on the Darcy number, whereas it is 0.9 at F > 1. Third, the plug flow assumption cannot be valid even at lower Darcy number under non-uniform porosity, while this assumption is applicable at Da < 10^-3 for constant porosity distribution in porous region.

According to the best knowledge of authors, the optimum porous thickness ratio for the heat transfer enhancement considering the pressure loss effects under variable porosity has not reported up to now. Also the plug flow assumption in such physics is not discussed.

The purpose of this paper is to follow a comparative framework to investigate the effects of outcome quality on loyalty through the mediating role of perceived value in four-star hotels and five-star hotels.

Following a review of the literature, some hypotheses were formulated to examine the effects of outcome quality on attitudinal loyalty and behavioral intention through the mediating role of perceived value. The data guiding the comparative analysis were collected from two groups of visitors staying either in four-start or five-star hotels. The sample included 356 international tourists who stayed overnight in four- or five-star hotels in Kuala Lumpur, Malaysia. Structural equation modeling was used to analyze the data.

Analyzing the data obtained helped to construct three models. In the first model, the effects of outcome quality on attitudinal loyalty and behavioral intention through the mediating role of perceived value in both group of customers was analyzed. In the second model, the effects of outcome quality on behavioral intention through the mediating role of perceived value were compared across the two groups. In the third model, all dimensions of attitudinal loyalty and behavioral intention were combined into one single variable called composite loyalty.

In the first model, the (in)direct effect of outcome quality on both of the dimensions of loyalty (attitudinal loyalty and behavioral intention) was confirmed through perceived value as the mediating variable. The results of processing the second model showed that the impact of outcome quality on behavioral intention was greater in the four-star hotels clients, whereas the effect of perceived value on behavioral intention was greater in the five-star hotels visitors. The third model revealed that the (in)direct effect of outcome quality on composite loyalty through perceived value was greater in the four-star hotels clients than that in the five-star hotels clients.

Health-related issues are widely covered in news agencies by medical and health journalists. The quantity, format and quality of their coverage influence the general public as well as policymakers and professions. Current studies and observations suggest that news agencies are more dominated by medical topics (disease, symptoms, epidemiology, treatment and medicines) than general public health issues (risk prevention, health protection, education and promotion). This study explores the causes of the current situation in Iran and generates solutions for supporting health-promoting media that may also prove beneficial for other countries.

A qualitative study was conducted to explore the coverage of health-related topics in selected news agencies. Stakeholders, including health journalists, health professionals and public relations staff at the Iranian Ministry of Health and Medical Education were interviewed. Data were collected until data saturation was reached. The transcripts of all the 17 interviews conducted were analyzed using conventional content analysis.

Four groups of causes were identified, including individual factors, organizational factors, socioeconomic factors and the different nature of medicine and public health. The participants proposed several solutions that were classified into three categories, including the empowerment of stakeholders through capacity development, organizational change and mutual communication and culture change.

Creating health-promoting media is a complex but urgent task, and providing a comprehensive and deep understanding of the dynamic interdependencies of the multiple factors at play in it and developing and implementing the most effective interventions for it requires a systematic approach.

Due to their unique characteristics in terms of information type, quantity and exchange, social media are regarded as a challenging information resource that makes credibility evaluation a more complicated behavior. This study aims to investigate the role of media literacy in the credibility evaluation of social media information among students as a major community of user groups.

The study tried to explore whether or not the three popular platforms of WhatsApp, Instagram and Telegram with their unique features, show a significant difference in the credibility evaluation among a sample of 150 students at the Shahid Beheshti University, Tehran, Iran. By administrating two validated measures related to the two main variables, data gathered were analyzed through the partial least-squares (PLS) method using the software SmartPLS.

Convergent and discriminant validities, as well as model fit indices, showed the reliability of the conceptual model at the 99% confidence level. Moreover, path analysis demonstrated that media literacy could affect all components of the credibility evaluation, except for currency evaluation. Overall, media literacy had less impact on evaluating information sources and information credibility compared to information presentation. Further analysis showed no significant difference in credibility evaluation with respect to the application used.

There appears a crucial need for the students to be skilled more in evaluating content and source without which their decision-making might be negatively affected.

User behavior in online information evaluation is the result of a multitude of factors related to social, cultural, personal and psychological issues. The present study aimed to examine the effects of three important psychological variables including personality, self-efficacy and attitude on online information evaluation.

Four validated measures were administrated in person and online among 355 postgraduate students at Shahed University, Tehran, Iran. For testing the possible relationships among the variables, the reliability, normality and Pearson correlation tests were performed by using SPSS 24.0. Moreover, to test the ten hypotheses of the research, the structural equation modeling was considered using AMOS 26.0.

The findings confirmed the first five research hypotheses indicating the direct positive relationships among the four variables except for the impact of self-efficacy on attitude. The mediated effects of the variables were not supported except for the mediating role of attitude in the impact of personality on online evaluation behavior. The variable personality was found to be fundamental among the tested paths because it influenced the information evaluation behavior, both directly and indirectly.

The study showed the impacts of the three variables, which demonstrates that online information evaluation is greatly affected by psychological factors.

This paper aims to investigate the optimization of window and shading designs to reduce the building energy consumption of a standard office room while improving occupants' comfort in Tehran and Auckland.

The NSGA-II algorithm, as a multi-objective optimization method, is applied in this study. First, a comparison of the effects of each variable on all objectives in both cities is conducted. Afterwards, the optimal solutions and the most undesirable scenarios for each city are presented for architects and decision-makers to select or avoid.

The results indicate that, in both cities, the number of slats and their distance from the wall are the most influential variables for shading configurations. Additionally, occupants' thermal comfort in Auckland is much better than in Tehran, while the latter city can receive more daylight. Furthermore, the annual energy use in Tehran can be significantly reduced by using a proper shading device and window-to-wall ratio (WWR), while building energy consumption, especially heating, is negligible in Auckland.

To the best of the authors' knowledge, this is the first study that compares the differences in window and shading design between two cities, Tehran and Auckland, with similar latitudes but located in different hemispheres. The outcomes of this study can benefit two groups: firstly, architects and decision-makers can choose an appropriate WWR and shading to enhance building energy efficiency and occupants' comfort. Secondly, researchers who want to study window and shading systems can implement this approach for different climates.

Pharmaceutical supply chains (PSCs) need a well-operating and faultless logistics system to successfully store and distribute their medicines. Hospitals, health institutes, and pharmacies must maintain extra stock to respond requirements of the patients. Nevertheless, there is an inverse correlation between the level of medicine stock and logistics service level. The high stock level held by health institutions indicates that we have not sufficiently excellent logistics systems presently. As such, selecting appropriate logistics service providers (drug distributors) is crucial and strategic for PSCs. However, this is difficult for decision-makers, as highly complex situations and conflicting criteria influence such evaluation processes. So, a robust, applicable, and strong methodological frame is required to solve these decision-making problems.

To achieve this challenging issue, the authors develop and apply an integrated entropy-WASPAS methodology with Fermatean fuzzy sets for the first time in the literature. The evaluation process takes place in two stages, as in traditional multi-criteria problems. In the first stage, the importance levels of the criteria are determined by the FF-entropy method. Afterwards, the FF-WASPAS approach ranks the alternatives.

The feasibility of the proposed model is also supported by a case study where six companies are evaluated comprehensively regarding ten criteria. Herewith, total warehouse capacity, number of refrigerated vehicles, and personnel are the top three criteria that significantly influence the evaluation of pharmaceutical distribution and warehousing companies. Further, a comprehensive sensitivity analysis proves the robustness and effectiveness of the proposed approach.

The proposed multi-attribute decision model quantitatively aids managers in selecting logistics service providers considering imprecisions in the multi-criteria decision-making process.

A new model has been developed to present a sound mathematical model for selecting logistics service providers consisting of Fermatean fuzzy entropy and WASPAS methods. The paper's main contribution is presenting a comprehensive and more robust model for the ex ante evaluation and ranking of providers.

The aims of this study are twofold: to examine mobile food delivery service (MFDS) from the perspectives of functional and technical quality, and to empirically evaluate the influences of functional and technical quality on customer loyalty toward MFDS.

A conceptual framework of customer loyalty toward MFDSs was developed based on Gronroos’s service quality model. By using the PLS-SEM approach, the proposed model was empirically tested with a sample of 494 MFDS users through a survey via online social groups of food delivery service review.

The study validated the multi-dimensionality of MFDS functional quality including six dimensions (e.g. ease of use, app design, responsiveness, privacy and security, information quality, and personalization) and MFDS technical quality including two dimensions (e.g. safety and quality of delivered food, and quality of delivery service). The results indicated a significant direct link between functional quality and loyalty toward MFDS, while the effect of technical quality on loyalty was not found. Both functional quality and technical quality of MFDS demonstrated positive associations with customer perceived value of MFDS, which had a positive linkage with customer loyalty toward MFDS.

The findings of the study advances Gronroos’ (1990) service quality perspective to m-commerce contexts, therefore and also offers MFDS providers effective strategies to launch a successful food delivery service.

The current study provides a first theoretical perspective on mobile service quality based on Gronroos’s model, which has not yet been examined. This study broadens the understanding of the loyalty toward a mobile-based service, particularly MFDS from the influences of two perspectives of service quality, namely, functional and technical quality.

Strategic orientation is one of the critical principles affecting the marketing and strategy selection of an organization’s activities, reflecting the strategic tendencies implemented by the organization to create behaviours, leading to organizational efficiency and better employee performance. Therefore, this paper aims to study the relationship between strategic orientation and performance in Qazvin teaching hospitals through green supply chain management (SCM) to improve employees' performance.

This was a descriptive– analytical and cross-sectional study. The total number of employees in medical centres was 2,256 people. According to Morgan’s table, the required number of samples was 328, including 10% of the sample loss. The questionnaire was given to 365 staff in different hospitals in proportion to the number of staff. Two statistical software, SPSS24 and AMOS23, were used to evaluate the results.

All three variables were relatively moderate in the hospitals. The results of evaluating the structural model of the research showed that all the studied hypotheses were significant, except for the relationship between organizational performance and strategic orientation hypothesis. The results also show that this model had a good fit.

The findings can lead to saving the environment, creating a better social image and reducing costs and profitability, allowing managers to know the strategic orientations rather than depending on institutional pressure issues and monitoring guidelines.

Considering the significant relationship between the dimensions of green SCM and the hospitals’ performance, the authors suggest: establishing multilateral co-operation in environmental issues, improving the environmental status of hospitals, reducing waste rates and paying attention to social responsibility of hospitals. In addition, the findings help hospital management to comprehensively understand the strategies for implementing green SCM procedures.

The advent of technology has propelled audit firms to incorporate AI-based audit services, bringing the relationship between audit clients and firms into sharper focus. Nonetheless, the understanding of how AI-based audit services affect this relationship remains sparse. This study strives to probe how an audit client's satisfaction with AI-based audit services influences their trust in audit firms. Identifying the variables affecting this trust, the research aspires to gain a deeper comprehension of the implications of AI-based audit services on the auditor-client relationship, ultimately aiming to boost client satisfaction and cultivate trust.

A conceptual framework has been devised, grounded in the client-company relationship model, to delineate the relationship between perceived quality, perceived value, attitude and satisfaction with AI-based audit services and their subsequent impact on trust in audit firms. The research entailed an empirical investigation employing Facebook ads, gathering 288 valid responses for evaluation. The structural equation method, utilized in conjunction with SPSS and Amos statistical applications, verified the reliability and overarching structure of the scales employed to measure these elements. A hybrid multi-analytical technique of structural equation modeling and artificial neural networks (SEM-ANN) was deployed to empirically validate the collated data.

The research unveiled a significant and positive relationship between perceived value and client satisfaction, trust and attitude towards AI-based audit services, along with the link between perceived quality and client satisfaction. The findings suggest that a favorable attitude and perceived quality of AI-based audit services could enhance satisfaction, subsequently augmenting perceived value and client trust. By focusing on the delivery of superior-quality services that fulfill clients' value expectations, firms may amplify client satisfaction and trust.

Further inquiries are required to appraise the influence of advanced technology adoption within audit firms on client trust-building mechanisms. Moreover, an understanding of why the impact of perceived quality on perceived value proves ineffectual in the context of audit client trust-building warrants further exploration. In interpreting the findings of this study, one should consider the inherent limitations of the empirical analysis, inclusive of the utilization of Facebook ads as a data-gathering tool.

The research yielded insightful theoretical and practical implications that can bolster audit clients' trust in audit firms amid technological advancements within the audit landscape. The results imply that audit firms should contemplate implementing trust-building mechanisms by creating value and influencing clients' stance towards AI-based audit services to establish trust, particularly when vying with competing firms. As technological evolutions impinge on trustworthiness, audit firms must prioritize clients' perceived value and satisfaction.

To the researcher's best knowledge, no previous study has scrutinized the impact of satisfaction with AI-based audit services on cultivating audit client trust in audit firms, in contrast to past research that has focused on the auditors' trust in the audit client. To bridge these gaps, this study employs a comprehensive and integrative theoretical model.