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This chapter review studies on green banking practices and identifies information gaps to justify future research approaches.

A systematic literature review has been conducted by analyzing 44 Scopus-indexed articles on adopting green banking practices through the PRISMA flowchart and analyzed through Vosviewer software.

The findings indicate that survey studies comprised 82% of the selected papers. The Journal of Cleaner Production was the most-cited publication, with 471 citations. France was most frequently involved in collaborative research, with connections to six other countries. Notably, two-thirds of the listed countries had collaborated internationally in publications, but with less than 10 countries involved, based on the 44 studies included in the analysis.

According to the authors' best knowledge, no systematic literature review on green banking practices from the Scopus database utilizing the PRISMA approach has been published in academic literature.

The pitfalls observed in previous research, such as the paucity of an empirical and conceptual methodology and a systematic investigation of theory development, give numerous opportunities for future research. Following this, many new trends in green banking are outlined to assist researchers in identifying gaps in the literature and future study directions.

The study aids researchers, professionals, and managers in understanding green banking adoption's significance. Banks can increase their economic scenarios by using this concept in new markets with excessive potential for employment and business avenues. In addition, the study highlights the value of sustainable practices, environmental concerns, and the importance of green banking.

The aim of this paper is to study pharmacy service impact on patient satisfaction and to determine what factors saliently link with pharmaceutical service performance at Hamad General Hospital.

A patient satisfaction questionnaire was designed using the literature and consultation with Hamad General Hospital medical experts. The questionnaire contained 22 items that focused on five influencing factors: promptness; attitude; supply; location; medication education; and respondent demographic aspects. A total of 220 respondents completed the questionnaire. An exploratory factor analysis was used to group items and a structural equation model was developed to test causality between five factors along with their influence on patient satisfaction.

The study establishes statistical evidence that patient satisfaction is positively influenced by service promptness, pharmacist attitude, medication counseling, pharmacy location and waiting area. Several socio‐demographic characteristics have statistically different effect on satisfaction, notably: gender; marital status; health status; age; educational level; and ethnicity. However, medication supply did not influence patient satisfaction.

Pharmaceutical services are recognized as an essential healthcare‐system component. Their impact on customer satisfaction has been investigated in many countries; however, there is no such study in Qatar.

The findings identify pharmaceutical service performance indicators and provide guidelines to improve Qatari pharmaceutical services.

The purpose of this paper is to present a framework to devise a system for ranking of traditional project delivery methods, regarding their suitability, against the varying levels of mega project attributes.

The proposed system employs input and output interfaces and a granular (fuzzy rule base) component for estimating the subjective levels of risks, opportunities, and constraints and then mapping them to a decision matrix. A questionnaire has been designed (using the SurveyGizmo® platform) to collect the perceptions of the various project stakeholders and use them. A total of 127 stakeholders completed the survey form in full.

The survey data were used to calibrate the fuzzy logic model of the granular component. The envisioned system computes, for each possible delivery method, an index that reflects the suitability (of the corresponding delivery method) on an ordinal scale.

The devised decision support system is likely to lessen the dependency of “accurate decision” on “the experience of the decision-makers.” It will also enable ranking the various project delivery methods based on the various project and stakeholder attributes that are likely to affect the project risks, opportunities and constraints.

This study aims to examine the effects of pharmacy service factors (namely, medication teaching, service promptness, pharmacist attitudes, medication supply and pharmacy location) on patient satisfaction with community pharmacies in Jordan and to explore the effect of patient satisfaction on pharmacy performance.

Descriptive analytical methodology, with a quantitative approach using survey strategy was applied. The study population represented the whole population of Jordan (2.033 million households). Data were collected using an online questionnaire. A convenient quota sample of 1,000 respondents was targeted; 502 valid questionnaires were returned, representing an effective response rate of 50.2%. The study hypotheses were tested using path analysis.

The results showed that the service factors contributing most significantly to patient satisfaction in Jordan are medication supply, pharmacist attitudes, medication teaching and service promptness, in descending order of influence. Meanwhile, the effect of pharmacy location on patient satisfaction proved to be insignificant. In addition, patient satisfaction proved to have a highly positive impact on pharmacy performance.

This study addresses a debatable issue in the literature regarding the influence that pharmacy service factors can have on patient satisfaction. In addition, to the best of the researchers’ knowledge, this is the first study to explore the proposed effects in Jordan. It is also one of the first to investigate the effect of patient satisfaction on community pharmacy performance.

This study aims to contribute to the scholarly discourse on the future of money, particularly within the context of Islamic principles. The focus is on examining the intricate intersections of financial development, technological advancements and the emerging metaverse. The research intends to explore the holistic framework encompassing regulatory dynamics, technological infrastructure, consumer trust, Sharia compliance and the metaverse.

The research design incorporates a comprehensive approach, using various elements such as regulatory dynamics, technological infrastructure, consumer trust, Sharia compliance and the metaverse. Data collection involves a questionnaire administered to 318 respondents in the UAE. The methodology uses structural equation modeling – partial least squares (SEM-PLS) to assess the research model and test hypotheses.

The results from the Smart PLS path analysis indicate noteworthy findings. There are significant impacts of fintech adoption, regulatory environments, technological infrastructure and customer trust on the competitiveness of Fintech solutions. Importantly, Sharia compliance emerges as a crucial contextual filter, influencing the interplay between Sharia compliance, fintech adoption and fintech competitiveness. The study provides theoretical insights by emphasizing the pivotal role of Sharia compliance in the dynamics of fintech adoption.

This study contributes original insights to the existing body of knowledge. By exploring the multifaceted connections between financial development, technological advancements and the metaverse within the Islamic context, the research offers a unique and comprehensive perspective. The emphasis on the holistic framework that considers regulatory dynamics, technological infrastructure, consumer trust and Sharia compliance adds originality to the understanding of factors influencing the competition and sustainability of Islamic fintech solutions in the UAE.

The purpose of this paper is to present an exploration of multiple slips and temperature dependent thermal conductivity effects on the flow of nano Williamson fluid over a slendering stretching plate in the presence of Joule and viscous heating aspects. The effectiveness of nanoparticles is deliberated by considering Brownian moment and thermophoresis slip mechanisms. The effects of magnetism and radiative heat are also deployed.

The governing partial differential equations are non-dimensionalized and reduced to multi-degree ordinary differential equations via suitable similarity variables. The subsequent non-linear problem treated for numerical results. To measure the amount of increase/decrease in skin friction coefficient, Nusselt number and Sherwood number, the slope of linear regression line through the data points are calculated. Statistical approach is implemented to analyze the heat transfer rate.

The results show that temperature distribution across the flow decreases with thermal conductivity parameter. The maximum friction factor is ascertained at stronger magnetic field.

In the current paper, the magneto-nano Williamson fluid flow inspired by a stretching sheet of variable thickness is examined numerically. The rationale of the present study is to generalize the studies of Mebarek-Oudina and Makinde (2018) and Williamson (1929).

This study aims to improve the Unified Theory of Acceptance and Use of Technology (UTAUT) model by examining technological anxiety and other influential factors on international students' adoption of mobile learning (m-learning) during COVID-19 emergency remote teaching (ERT).

This study utilized the modified UTAUT framework to test hypotheses through a cross-sectional survey method. Participants were university students studying Chinese as a foreign language who were selected using a convenience sampling approach. An online questionnaire was then administered. The data collected from the surveys were analyzed using the partial least squares method with SmartPLS 4 software.

The study examined 16 hypotheses and found support for six of them. The results confirmed that performance expectancy (PE) is a significant predictor of behavioral intention (BI), and anxiety influences both PE and effort expectancy. The negative effect of social influence on anxiety was found to be significant, while facilitating conditions had a negative impact on learners' self-efficacy. The model fit indices indicated a good overall fit for the model.

This study presents a valuable contribution to the literature on m-learning in emergency education by incorporating technological anxiety into the enhanced UTAUT model. Examining the relationships between the key factors of the model provides a better understanding of learners' intentions and can inspire researchers to establish new theoretical foundations to evaluate the roles of these factors in diverse educational settings.

The study found that performance expectations are linked to learners' intentions, and anxiety indirectly affects BIs to use mobile learning platforms. Thus, these platforms should be designed to meet learners' expectations with minimum effort and eliminate anxiety triggers to facilitate ease of use. Language curriculum developers and policymakers should incorporate mobile learning applications to support diverse language skills, address students' needs and encourage their use through professional development opportunities for instructors.

Social factors have been found to significantly influence anxiety levels among learners. Therefore, it is crucial for teachers and family members to play an essential role in mitigating anxiety's adverse effects. Discussing related issues can enhance the quality of mobile learning and stimulate social initiative by providers, ultimately improving the learning experience for all learners, regardless of their location or circumstances. This can also contribute to the growth and development of society.

This study contributes to the originality of m-learning development by proposing an enhanced UTAUT model that considers anxiety and emphasizes the critical role of foreign learners' BIs. It provides fundamental guidelines for designing and evaluating m-learning in ERT contexts.

The purpose of this paper is to examine the interaction effects of a transverse magnetic field and slip effects of Casson fluid with suspended nanoparticles over a nonlinear stretching surface. Mathematical modeling for the law of conservation of mass, momentum, heat and concentration of nanoparticles is executed.

Governing nonlinear partial differential equations are reduced into nonlinear ordinary differential equations and then shooting method is employed for its solution. The slope of the linear regression line of the data points is calculated to measure the rate of increase/decrease in the reduced Nusselt number.

The effects of magnetic parameter (0=M=4), Casson parameter (0.1=β<8), nonlinear stretching parameter (0=n=3) and porosity parameter (0=P=6) on axial velocity are shown graphically. Numerical results were compared with another numerical approach and an excellent agreement was observed. This study reveals the fact that the Brownian motion parameter and boundary layer thickness have a direct relationship with temperature. Also, Brownian motion and thermophoresis contribute to an increase in the thermal boundary layer thickness.

Despite the immense significance and repeated employment of non-Newtonian fluids in industry and science, no attempt has been made up till now to inspect the Casson nanofluid flow with a permeable nonlinear stretching surface.