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Incineration strengths of hazardous (2.8×10⁸μg/s) and nonhazardous (6.31×10⁸μg/s) materials were found from the quantities to be incinerated, chemical formulas, and the incineration time. The smoke stack geometry, exhaust dynamics, and different atmospheric stability conditions were used in the Gaussian model to predict the maximum concentration distances of 0.5 to about 6 km at the ground level in the downwind direction. However, trailing edges of some of exhaust distributions were found to extend beyond 120 km under some atmospheric stability conditions. The counties of Jefferson, Lonoke, Pulaski, Dallas, Cleveland, Calhoun, and Grant in the state of Arkansas are more likely to be affected than others. The possible major products in the hazardous incineration exhaust are chlorinated compounds. The results of this study are important to know the areas that fall under comparatively higher concentrations of incineration exhaust for further observations because of its inherent impact upon living beings, crop production, and environmental conditions.

This chapter explores the impact of the pandemic on Islamic commercial finance and Islamic social finance in a comprehensive manner. The chapter reveals that COVID-19 has provided more opportunities to Islamic social finance than Islamic commercial finance. The beauty of Islamic finance in this regard is reflected as the perception that Islamic finance does not achieve its objective as being a social finance is proved to be false as Islamic finance not only promotes profit maximization, but it has also the potential to achieve social objectives. Islamic commercial finance developments could be slower, but it is anticipated that Islamic social modes of financing will be used widely even by multilateral agencies to assist the communities who need help in this pandemic. The most important lesson one could learn from this pandemic in relation to Islamic finance is that Islamic finance is truly different from conventional finance and as such, it needs a unique legal, regulatory and governance framework to display the true potential of it.

Though Murabaha financing experienced substantial growth in several majority-Muslim countries, its market share in the Moroccan banking industry is still very narrow than other conventional banks’ instruments. The current research investigated the ability of an extended theory of planned behavior (TPB) framework to explain the main drivers of attitude and intention to use Murabaha financing among Moroccan households. The moderating effect of Islamic religiosity was also scrutinized.

Data were collected via a survey of 512 Moroccan consumers and analyzed using the partial least squares (PLS) technique.

First, attitude toward Islamic banking products is a key predictor of consumer intention to use Murabaha financing. At the same time, consumers’ attitudes are influenced by Islamic financial literacy, subjective norms, behavioral control and profit and loss sharing. Islamic religiosity was also found to positively moderate the link between attitudes towards Islamic banking (IB) and intention to use Murabaha financing, e.g. positive attitudes toward IB are more likely to convert into an intention to use Murabaha financing among Muslim consumers with higher levels of religiosity.

To boost consumers’ intention to use Murabaha financing, Islamic bank managers should consider further investment in advertising to enhance consumers’ awareness about IB products. Islamic banks should also consider digital and social media marketing to increase consumers’ awareness about the products and spread a positive e-WOM with regards to their products. Our findings emphasize the importance of Islamic religiosity in shaping Muslim consumers’ intentions to use Murabaha financing. Islamic banks ought to make sure that Murabaha financing contracts are strictly adherent to and compliant with Shari’ah principles. They should also train their frontline employees on Islamic financing activities so that they can effectively respond to the queries and questions of Murabaha potential consumers.

The study findings contribute to the IB literature by demystifying the key factors shaping Muslim consumers’ intentions to use Murabaha financing. The study also extends the literature by emphasizing Islamic religiosity as a basis for Muslim consumers’ behavior in the context of IB. To the best of our knowledge, this study is among the first to empirically investigate Muslim consumers’ intention to use Murabaha financing in North Africa and the Arab countries.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-10-2022-0680

This study aims to investigate the extent and trend of corporate social responsibility (CSR) disclosure by UAE listed banks and the impact of corporate governance mechanisms on this disclosure.

Content analysis of banks’ annual reports from 2009 to 2019 was applied to investigate the CSR disclosure level by constructing a disclosure index. Panel data regressions were applied to analyze the impact of corporate governance mechanisms on CSR disclosure.

UAE banks show an improving trend in the CSR disclosures. In addition, the board of directors and ownership structure are significantly and positively associated with the CSR disclosures. The results vary across the banking systems.

This study considers the extent of the CSR disclosure in UAE banks’ annual reports, and future research should consider more industries and communication channels.

This study sheds light on the extent of the CSR disclosure of UAE listed banks and assists UAE policymakers in implementing appropriate corporate governance mechanisms.

The findings provide banks with a better understanding of the benefits of strengthening corporate governance to improve their CSR disclosure.

This study contributes to the literature by constructing a more comprehensive disclosure index and examining the impact of corporate governance mechanisms on CSR disclosure by considering both the conventional and Islamic banking systems.

Several studies have studied the points that distinguish Islamic banks from conventional ones. The corresponding conclusions are a bit contradictory. This paper aims to study the similarities between Islamic and conventional banks in the Gulf countries using a new approach, namely, the clustering method based on dynamic time warping (DTW) distance.

To study the similarities between Islamic and conventional banks, in Gulf Cooperation Council (GCC) countries, this study used the DTW distance. Then, a clustering based on this distance was carried out to find out which banks are the most similar. Finally, the authors have studied the factors that explain these similarities.

This empirical study covered 44 Islamic banks and 46 conventional banks in GCC countries during 2006–2015. The results show that Islamic and conventional banks are included in the same cluster for Qatar, Bahrain and Oman. In contrast, Islamic and conventional banks do not share the same cluster for the Kingdom of Saudi Arabia, Kuwait and the United Arab Emirates. This is because of the establishment of interest rates below discount rates. In this case, banks are incentivized to take more risks to compensate for interest losses, which increases efficiency and allocates Islamic and conventional banks to different clusters. Accordingly, there is no absolute discrimination because of the initial status between Islamic and conventional banks. However, the overall banks, either Islamic or conventional, are discriminated through the distance of the banking applied interest rate and the social discount rate.

DTW distance-based clustering is a very suitable method for emphasizing the similarities that may exist between conventional and Islamic banks. This technique has not previously been used in the literature in question.

The current analysis produces the fractional sample of non-Newtonian Casson and Williamson boundary layer flow considering the heat flux and the slip velocity. An extended sheet with a nonuniform thickness causes the steady boundary layer flow’s temperature and velocity fields. Our purpose in this research is to use Akbari Ganji method (AGM) to solve equations and compare the accuracy of this method with the spectral collocation method.

The trial polynomials that will be utilized to carry out the AGM are then used to solve the nonlinear governing system of the PDEs, which has been transformed into a nonlinear collection of linked ODEs.

The profile of temperature and dimensionless velocity for different parameters were displayed graphically. Also, the effect of two different parameters simultaneously on the temperature is displayed in three dimensions. The results demonstrate that the skin-friction coefficient rises with growing magnetic numbers, whereas the Casson and the local Williamson parameters show reverse manners.

Moreover, the usefulness and precision of the presented approach are pleasing, as can be seen by comparing the results with previous research. Also, the calculated solutions utilizing the provided procedure were physically sufficient and precise.

The purpose of this paper is to review research studies on process optimisation and machine development that lead to the enhancement of final products in various aspects of the fused deposition modelling (FDM) process.

An overview of the literature, focussing on process parameters, machine developments and material characterisations. This study investigates recent research studies that studied FDM capabilities in printing a vast range of materials from thermoplastics to metal alloys.

FDM is one of the most common techniques in additive manufacturing (AM) processes. Many parameters in this technology have effects on three-dimensional printed products. Therefore, it is necessary to obtain the optimum elements, for example, build orientation, layer thickness, nozzle diameter, infill pattern and bed temperature. By selecting a proper variable range of parameters, the layers adhere strongly and building end-use products of high quality are achievable. A vast range of materials and their properties from polymers to composite-based polymers are presented. Novel techniques to print metal alloys and composites are examined to increase the productivity of the FDM process. Additionally, defects such as shrinkage and warpage are discussed to eliminate the system’s limitations and improve the quality of final products. Multi-axis and mobile machines brought enhancements throughout the process to eliminate obstacles such as staircase defects in the conventional FDM process. In brief, recent developments were identified and a summary of major improvements was discussed in this study for future research.

This paper is an overview that provides information about research and developments in FDM. This review focusses on process optimisation and obstacles in printing polymers, composites, geopolymers and novel materials. Therefore, machine characteristics were examined to find out the accessibility of printing novel materials for different applications.

This study examines the relationship between higher education improvement and tacit knowledge importance. In this context, the scarcity of empirical and theoretical studies on acquiring tacit knowledge to enhance academic performance in higher education suggests that this research area holds significant importance for experts and policymakers. Consequently, this study aims to explore the factors that influence academic research performance at Chinese universities by acquiring tacit knowledge.

To achieve the study aims, the current approach utilizes the research technique based on the socialization, externalization, internalization and combination (SECI) model and knowledge management (KM) theory. To analyze the study objective, the authors collected data from post-graduate students at Chinese universities and analyzed it using structural equation modeling (SEM) to test the model and hypotheses.

The results indicated that social interaction, internalization and self-motivation have a positive impact on academic research performance through the acquisition of tacit knowledge. Furthermore, the findings suggest that academic researchers can acquire more knowledge through social interaction than self-motivation, thereby advancing research progress.

This study addresses the critical issues surrounding the acquisition of tacit knowledge and presents a comprehensive framework and achievements that can contribute to achieving exceptional academic performance.

Fused deposition modelling (FDM) is the most economical additive manufacturing technique. The purpose of this paper is to describe a detailed review of this technique. Total 211 research papers published during the past 26 years, that is, from the year 1994 to 2019 are critically reviewed. Based on the literature review, research gaps are identified and the scope for future work is discussed.

Literature review in the domain of FDM is categorized into five sections – (i) process parameter optimization, (ii) environmental factors affecting the quality of printed parts, (iii) post-production finishing techniques to improve quality of parts, (iv) numerical simulation of process and (iv) recent advances in FDM. Summary of major research work in FDM is presented in tabular form.

Based on literature review, research gaps are identified and scope of future work in FDM along with roadmap is discussed.

In the present paper, literature related to chemical, electric and magnetic properties of FDM parts made up of various filament feedstock materials is not reviewed.

This is a comprehensive literature review in the domain of FDM focused on identifying the direction for future work to enhance the acceptability of FDM printed parts in industries.

The purpose of this paper is to study the functionality of additively manufactured (AM) parts, mainly depending on their dimensional accuracy and surface finish. However, the products manufactured using AM usually suffer from defects like roughness or uneven surfaces. This paper discusses the various surface quality improvement techniques, including how to reduce surface defects, surface roughness and dimensional accuracy of AM parts.

There are many different types of popular AM methods. Unfortunately, these AM methods are susceptible to different kinds of surface defects in the product. As a result, pre- and postprocessing efforts and control of various AM process parameters are needed to improve the surface quality and reduce surface roughness.

In this paper, the various surface quality improvement methods are categorized based on the type of materials, working principles of AM and types of finishing processes. They have been divided into chemical, thermal, mechanical and hybrid-based categories.

The review has evaluated the possibility of various surface finishing methods for enhancing the surface quality of AM parts. It has also discussed the research perspective of these methods for surface finishing of AM parts at micro- to nanolevel surface roughness and better dimensional accuracy.

This paper represents a comprehensive review of surface quality improvement methods for both metals and polymer-based AM parts.