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The design of cantilever pile walls (CPWs) presents several common challenges. These challenges include soil variability, groundwater conditions, complex loading conditions, construction considerations, structural integrity, uncertainties in design parameters and construction and monitoring costs. Accordingly, this paper is to provide a detailed literature review on the design criteria of CPWs, specifically in cohesionless soil. This study aims to present a comprehensive overview of the current state of knowledge in this area.

The paper uses a literature review approach to gather information on the design criteria of CPWs in cohesionless soil. It covers various aspects such as excavation support systems (ESSs), deformation behavior, design criteria, lateral earth pressure calculation theories, load distribution methods and conventional design approaches.

The review identifies and discusses common challenges associated with the design of CPWs in cohesionless soil. It highlights the uncertainties in determining load distribution and the potential for excessive wall deformations. The paper presents various approaches and methodologies proposed by researchers to address these challenges.

The paper contributes to the field of geotechnical engineering by providing a valuable resource for geotechnical engineers and researchers involved in the design and analysis of CPWs in cohesionless soil. It offers insights into the design criteria, challenges and potential solutions specific to CPWs in cohesionless soil, filling a gap in the existing knowledge base. The paper draws attention to the limitations of existing analytical methods that neglect the serviceability limit state and assume rigid plastic soil behavior, highlighting the need for improved design approaches in this context.

To predict the real behavior of the full-scale model using a scale model, optimized simulation should be achieved. In reinforced concrete (RC) models, scaling can be substantially more critical than in single-material models because of multiple reasons such as insufficient bonding strength between small-diameter steel bars and concrete, and excessive aggregate size. Overall, there is a shortfall of laboratory and field-testing studies on the behavior of secant pile walls under lateral and axial loads. Accordingly, the purpose of this study is to investigate the validity and the performance of the 1/10th scaled RC secant pile wall under the influence of different types of loading.

The structural performance of the examined models was evaluated using two types of tests: bending and axial compression. A self-compacting concrete mix was suggested, which provided the best concrete mix workability and appropriate compressive strength.

Under axial and bending loads, the failure modes were typical. Where the plain and reinforced concrete piles worked in tandem to support the load throughout the loading process, even when they failed. The experimental results were relatively consistent with some empirical equations for calculating the modulus of elasticity and critical buckling load. This confirmed the validity of the proposed model.

According to the analysis and verification of experimental tests, the proposed 1/10th scaled RC secant pile model can be used for future laboratory purposes, especially in the field of geotechnical engineering.

The purpose of this paper is to develop strategies of re-imaging the Rosetta historic district through choosing the suitable uses and their specific locations in compliance with the urban design fabric of the historic core. These strategies are to be fulfilled using Space Syntax as an urban analysis tool, in the context of “connectivity analysis.”

The research methodology follows the combined strategy between three methods of research: a SWOT analysis, to reveal the historic core status; an experimental research approach, which stimulates the chosen area via Space Syntax; and the third is a case study of the Rosetta historic core.

The re-usage of the Rosetta old core was not originally planned as commercial and to host movable vendors, but the core was forced to adapt afterwards to suit this usage, while the Souk and those big new residential building urban blocks have clearly deformed the historic image of the Rosetta historic core. Moving from one space to another, it was found that well-connected spaces have higher movement density, such as Al Souk Street, while less dense spaces can tolerate more movement without conflicting with highly dense ones. The existing commercial activities can be classified into movable activities – which can be easily relocated – and shop-based, which need a developmental approach in their original locations. The disconnected district can be used as a commercial zone for the movable vendors, to which human flow can be successfully directed in order to reduce the density in the more connected spaces.

The research value lies in exploring how to re-image urban heritage via relocating the places reused with unsuitable activities through Space Syntax.

The paper aims to clarify threats facing heritage management in developing countries. It investigates the challenges facing the application of the historic urban landscape approach (HUL) in the city of Alexandria in Egypt, where heritage is trapped between unplanned developments from one side and deterioration from another side.

This paper uses SWOT analysis regarding the heritage management approach of the historic site. Site observation, documentary reviews, an online questionnaire (due to the COVID situation) and some interviews with park visitors and shopkeepers have been adopted to capture the changes in the site management, specifically capturing the current status of the site.

The paper presented an empirical study covering the evolution of heritage management practices. It suggests that building and maintaining the synergy between the government, the private sector and the public is essential for the sustainability of urban development in the city of Alexandria. It also asserts that heritage is a major catalyst of urban regeneration in the city.

This paper highlights major threats facing Alexandrian heritage. However, it lacks generalizability.

It suggests inclusive urban conservation strategies that are based on the HUL approach that would revitalize the historic core and assist in preserving both its tangible and intangible heritage. These strategies can help decision makers to develop more sustainable approaches in managing city heritage and achieving sustainable development of the city core.

The paper presents a social implication through involving stakeholders in the sustainable revitalization project of Al-Shalalat district located in the city center of Alexandria.

The paper presents an empirical study that fulfills an identified need for adopting more sustainable strategies in heritage management in Alexandria.

The use of waste polyethylene terephthalate (PET) plastics derived from shredded bottles in concrete is not formalized yet, especially in reinforced members such as beams and columns. The disposal of plastic wastes in concrete is a viable alternative to manage those wastes while minimizing the environmental impacts associated to recycling, carbon dioxide emissions and energy consumption.

This paper evaluates the suitability of 2D deterministic and stochastic finite element (FE) modeling to predict the shear strength behavior of reinforced concrete (RC) beams without stirrups. Different concrete mixtures prepared with 1.5%–4.5% PET additions, by volume, are investigated.

Test results showed that the deterministic and stochastic FE approaches are accurate to assess the maximum load of RC beams at failure and corresponding midspan deflection. However, the crack patterns observed experimentally during the different stages of loading can only be reproduced using the stochastic FE approach. This later method accounts for the concrete heterogeneity due to PET additions, allowing a statistical simulation of the effect of mechanical properties (i.e. compressive strength, tensile strength and Young’s modulus) on the output FE parameters.

Data presented in this paper can be of interest to civil and structural engineers, aiming to predict the failure mechanisms of RC beams containing plastic wastes, while minimizing the experimental time and resources needed to estimate the variability effect of concrete properties on the performance of such structures.

This study aims to investigate the determinants of United Arab Emirates (UAE) and Qatar consumers’ perceptions of organic food.

Using a survey approach and focusing on six known determinants identified from empirical studies, data were analysed using a mean difference analysis and a multi-regression model.

Citizens in both countries had similar access to organic food products, yet consumer perceptions differed significantly. Given the geographical, cultural and topographical proximity and similarities of these countries, differences in the mean values indicate that targeted or bespoke marketing is required to attract customers.

One limitation of this study its sample size that may limit the generalizability of its results. However, the highly statistically significant results offset this to some extent as the differences the authors have demonstrated are likely to be real. These do require confirmation by further similar studies. The study relied on a random sample of respondents who might have exhibited bias in answering questions.

The two countries central to this research study, the UAE and Qatar, have vested interests in supporting the organic food product market that mainly concern supporting and promoting the health of their citizens and the environment. As shown in this paper, the key obstacles preventing consumers’ accessing organic products are availability and price. With appropriate governmental subsidies and logistics support, however, these barriers can be overcome.

If governments are sincere in their declarations that the health and welfare of their citizens is of prime importance, they will support attempts to promote the sale and consumption of organically grown food. The results of this study can help to inform such policies.

This study provides insights into the most important factors that influence consumers’ attitudes towards organic foods. This study fills a gap in the existing research on consumer buying behaviour for organic food in two Middle Eastern countries.

This study delves into the complex realm of consumer behavior by exploring the impact of distinct shopping motives, encompassing status, value and gratification, on store satisfaction within the domain of organic food retail. Moreover, it seeks to decipher the influence of perceptual disparities between male and female patrons on the intricate nexus between shopping experience and consumer loyalty within organic food stores.

A comprehensive dataset comprising responses from 400 participants was gathered and subjected to confirmatory analysis and structural equation modeling. These analytical tools were employed to dissect the data, validate the underlying research framework and unveil critical insights.

The empirical analysis, facilitated by structural equation modeling, substantiates that organic food stores prioritize the organic attribute, primarily centered on healthiness, often to the detriment of broader conceptual and social aspects. This validates the interplay between shopping experience dimensions, customer contentment, loyalty and the intent to revisit. Gender, as a moderator, exerts a discernible influence on these relationships, highlighting distinct shopping behaviors among male and female consumers when gauging the influence of shopping experience dimensions within organic food retail establishments.

The implications of this research resonate deeply within the organic food retail landscape. The insights garnered provide valuable guidance to organic food retailers aiming to enhance their store ambiance and allure, thereby fostering sustained customer satisfaction. This, in turn, augments the propensity for customer loyalty and repeat patronage, a particularly pressing concern in today's fiercely competitive retail milieu. Furthermore, the study carries significant ramifications for organic food producers and governmental entities, outlining a framework for augmenting the value proposition of organic foods in alignment with customer experiential paradigms.

In a milieu characterized by the emergence of novel product categories and industry entrants, the study fills a critical void by investigating customer satisfaction within the broader retail food sector, with specific focus on organic food stores. Moreover, the research embarks on a pioneering exploration of the prospective trajectory of organic food stores in the Indian context, employing a marketing lens and grounded in the theory of needs satisfaction.

The need for precise synthesis of customized designs has resulted in the development of advanced coating processes for modern nanomaterials. Achieving accuracy in these processes requires a deep understanding of thermophysical behavior, rheology and complex chemical reactions. The manufacturing flow processes for these coatings are intricate and involve heat and mass transfer phenomena. Magnetic nanoparticles are being used to create intelligent coatings that can be externally manipulated, making them highly desirable. In this study, a Keller box calculation is used to investigate the flow of a coating nanofluid containing a viscoelastic polymer over a circular cylinder.

The rheology of the coating polymer nanofluid is described using the viscoelastic model, while the effects of nanoscale are accounted for by using Buongiorno’s two-component model. The nonlinear PDEs are transformed into dimensionless PDEs via a nonsimilar transformation. The dimensionless PDEs are then solved using the Keller box method.

The transport phenomena are analyzed through a comprehensive parametric study that investigates the effects of various emerging parameters, including thermal radiation, Biot number, Eckert number, Brownian motion, magnetic field and thermophoresis. The results of the numerical analysis, such as the physical variables and flow field, are presented graphically. The momentum boundary layer thickness of the viscoelastic polymer nanofluid decreases as fluid parameter increases. An increase in mixed convection parameter leads to a rise in the Nusselt number. The enhancement of the Brinkman number and Biot number results in an increase in the total entropy generation of the viscoelastic polymer nanofluid.

Intelligent materials rely heavily on the critical characteristic of viscoelasticity, which displays both viscous and elastic effects. Viscoelastic models provide a comprehensive framework for capturing a range of polymeric characteristics, such as stress relaxation, retardation, stretching and molecular reorientation. Consequently, they are a valuable tool in smart coating technologies, as well as in various applications like supercapacitor electrodes, solar collector receivers and power generation. This study has practical applications in the field of coating engineering components that use smart magnetic nanofluids. The results of this research can be used to analyze the dimensions of velocity profiles, heat and mass transfer, which are important factors in coating engineering. The study is a valuable contribution to the literature because it takes into account Joule heating, nonlinear convection and viscous dissipation effects, which have a significant impact on the thermofluid transport characteristics of the coating.

The momentum boundary layer thickness of the viscoelastic polymer nanofluid decreases as the fluid parameter increases. An increase in the mixed convection parameter leads to a rise in the Nusselt number. The enhancement of the Brinkman number and Biot number results in an increase in the total entropy generation of the viscoelastic polymer nanofluid. Increasing the strength of the magnetic field promotes an increase in the density of the streamlines. An increase in the mixed convection parameter results in a decrease in the isotherms and isoconcentration.

This study aims to examine the impact of website design, reliability and perceived ease of use as an engagement motivational factors on customer e-trust and e-retention in online shopping.

By using deductive approach, quantitative methods and purposive sampling technique, this study has collected the data from 295 young online customers to enhance an understanding of website design, reliability and perceived ease of use in an online shopping context.

The findings revealed interesting insights where reliability is the most significant predictor of customer e-trust in online shopping, followed by perceived ease of use and website design. In addition, a significant mediating effect of e-trust is found between customer e-retention, website design, reliability and perceived ease of use.

Future research is recommended to predict the antecedents of online engagement motivational factors with value co-creation and co-creation experience in online shopping context.

This study offers fresh insights about driving elements and impediments of online customer retention. Customer engagement comprising of website design, reliability and perceived ease of use appear to influence the online customer retention through direct and indirect effect.

The aim of this study is to evaluate the quality of services provided by the Regional Information Center for Science and Technology (RICeST) employing the Six Sigma methodology.

The studied population in this research consists of the users of RICeST. To start with, 120 users of RICeST have been chosen as the samples in a simple random way. Next, in order to collect the data, the LibQUAL+ Questionnaire has been used. Having applied this questionnaire, the gap between the customers' expectations and perceptions has been identified and analyzed. Moreover, the given data are analyzed and their mean and standard deviations are calculated by “SPSS”. Then, in each of the evaluated cases, the calculated standard deviation is compared with the sigma level in the output table in order to specify the qualitative efficiency of services. Accordingly, the error rate in each of the provided services has been determined.

Findings revealed that staff at RICeST could meet the users' minimum expectations of this center in all cases except for the option “the courteous staff”; therefore, they have allocated the efficiency of 50 percent which is equal to 500,000 errors per million. In other words, the average rate seems to be true in all options about the staff in this center. The efficiency of 69.20 percent obtained from the users' view about the quality of existing resources of this center, represents their relative satisfaction with the information resources in RICeST. But it is just in the option “the presence of a web site in the center” that the level of users' expectations is equal to the actual level and the achieved efficiency of 99.97 percent. Finally, it has been found that the quality of library space at the actual level was lower than the maximum level of users' expectation, but higher than the level of users' minimum expectations. The efficiency of 69.20 percent about the physical space of RICeSt indicates 308,000 errors per million. Consequently, it is far from achieving the desired level or the maximum users' expectations.

The increasing expectations of users in libraries and information centers have caused that these types of centers need modern strategies and management techniques in order to comply with these increasing changes and requirements. Evaluating the service quality in the library means to assess the effectiveness of services provided. The effect of evaluating the service quality is not limited to this fact, in which the services are provided only for users, but it is also focusing on the users' application level and compliance with their information needs and satisfaction of the quantity and quality of services.

The purpose of this paper is to evaluate the relationship between bankers’ perspectives and their pro-green banking behaviors (i.e. intentions). Specifically, how do bankers’ perspectives on environmental concerns, environmental normative structure and green technology affect their intentions toward G-banking activities?

A theoretical framework of the theory of bounded rational planned behavior (TBRPB) as its foundation was established. Using measurement scales to measure different aspects of environmental concern, environmental normative structure, green technology, attitudes, perceived behavioral control and subjective norms, a survey instrument was developed to examine the various associations implied by the model of TBRPB. Data were collected from the bankers of selected commercial banks in Bangladesh following the random sampling procedure. The data were analyzed using the partial least square structural equation modeling technique.

Findings indicate that all of the predictors appear to be robust in predicting the G-banking intention of the sampled bankers in Bangladesh. The results also show that attitudes, subjective norms and perceived behavioral control have significant mediating effects toward bankers’ bounded rational G-banking intention.

There are a few limitations in the study. First, the study considers environmental concerns as an antecedent of the attitude of bankers toward G-banking activities. Future studies can explore other variables related to environmental problems to study G-banking adoption and practices. Second, this study only considers the private conventional bankers as respondents to the survey to assess G-baking intention. In the future, other types of bankers, such as Islamic bankers and public banks’ bankers could be included in the survey to explore G-banking practices. Finally, this research has been done in a developing country-context.

In this study, environmental concerns of bankers appeared to be highly significant predictors to influence their attitudes toward bounded rational G-banking intention. Similarly, the social normative structure also appears to be a robust antecedent of subjective norms to influence bounded rational G-banking intention of respondent bankers. Finally, green technology or bakers’ personal and skill-related ability to control bounded rational G-banking intention also appeared to be a strongly significant predictor of green banking activities. All this evidence implies that respondent bankers in the sample responded positively to provide their positive intention toward G-banking activities based on their environmental concern.

Important social implication of the current study is G-banking practices can help reduce carbon emissions and other pollutants which would enrich overall environmental sustainability and ecological conditions.

Few studies are directed on G-banking perspective in Bangladesh. This research is one of the empirical studies which will certainly add values for the clients, institutions and policymakers in banking paradigm.

Thermal energy storage systems use thermal energy to elevate the temperature of a storage substance, enabling the release of energy during a discharge cycle. The storage or retrieval of energy occurs through the heating or cooling of either a liquid or a solid, without undergoing a phase change, within a sensible heat storage system. In a sensible packed bed thermal energy storage system, the structure comprises porous media that form the packed solid material, while fluid occupies the voids. Thus, a cavity, partially filled with a fluid layer and partially with a saturated porous layer, has become important in the investigation of natural convection heat transfer, carrying significant relevance within thermal energy storage systems. Motivated by these insights, the current investigation delves into the convection heat transfer driven by buoyancy and entropy generation within a partially porous cavity that is differentially heated, vertically layered and filled with a hybrid nanofluid.

The investigation encompasses two distinct scenarios. In the first instance, the porous layer is positioned next to the heated wall, while the opposite region consists of a fluid layer. In the second case, the layers switch places, with the fluid layer adjacent to the heated wall. The system of equations for fluid and porous media, along with appropriate initial and boundary conditions, is addressed using the finite difference method. The Tiwari–Das model is used in this investigation, and the viscosity and thermal conductivity are determined using correlations specific to spherical nanoparticles.

Comprehensive numerical simulations have been performed, considering controlling factors such as the Darcy number, nanoparticle volume fraction, Rayleigh number, bottom slit position and Hartmann number. The visual representation of the numerical findings includes streamlines, isotherms and entropy lines, as well as plots illustrating average entropy generation and the average Nusselt number. These representations aim to provide insight into the influence of these parameters across a spectrum of scenarios.

The computational outcomes indicate that with an increase in the Darcy number, the addition of 2.5% magnetite nanoparticles to the GO nanofluid results in an enhanced heat transfer rate, showing increases of 0.567% in Case 1 and 3.894% in Case 2. Compared with Case 2, Case 1 exhibits a 59.90% enhancement in heat transfer within the enclosure. Positioning the porous layer next to the partially cooled wall significantly boosts the average total entropy production, showing a substantial increase of 11.36% at an elevated Rayleigh number value. Positioning the hot slit near the bottom wall leads to a reduction in total entropy generation by 33.20% compared to its placement at the center and by 33.32% in comparison to its proximity to the top wall.

The well-being of the elderly is a growing issue of concern for countries around the world. One way to enhance the elderly well-being is to provide housing options suitable to their needs and lifestyle. Retirement village is an accommodation concept foreign to the Malaysian population. Therefore, the purpose of this paper is to bridge this literature gap by analyzing factors that may inhibit or motivate the buying intention of a retirement village unit among the elderly in Malaysia.

Data were collected from 261 Malaysian elderly and analyzed using structural equation modeling PLS.

The results indicated that attitude, subjective norm, perceived behavioral control and social sustainability were significant predictors that explained elderly buying intention of retirement village.

The study also found a significant moderating role of religion in attitude–intention relationship. The paper concludes with the study’s implications, limitations and recommendations for future research.

The role of insurance is a backbone for consumers to secure their future. It is important to know where to invest and what are the benefits. Therefore, for the Muslim segment, Islamic insurance system provides Riba (interest)-free environment where consumers invest their money and recover their losses according to sharia. This paper aims to examine the determinants that influence purchase intention of consumers toward Islamic insurance (Takaful) adoption in Pakistan with the help of the modified theory of planned behavior (TPB).

The authors added four specific variables related to Islamic sharia compliance in the conventional form of the TPB. The relationship among the variables is assessed by using partial least squares structural equation modeling, while the data are collected from 305 respondents.

The results suggest that attitude, subjective norm and perceived behavioral control are strong predictors of an Islamic insurance adoption in Pakistan. Moreover, factors such as compatibility, relative advantage and awareness have positive and significant impacts on takaful participation. A negative but insignificant relation is found between perceived risk and intention.

This paper provides insight for understanding the factors that lead to consumers' purchase intention of Islamic insurance.

This paper makes a unique contribution to the literature with reference to Pakistan, being a pioneering attempt to investigate the factors of Islamic insurance adoption by modifying the TPB and applying more rigorous statistical techniques like confirmatory factor analysis (CFA) and partial least square structural equation modeling.

This study aims to focuse on the flow behavior of a specific nanofluid composed of blood-based iron oxide nanoparticles, combined with motile gyrotactic microorganisms, in a ciliated channel with electroosmosis.

This study applies a powerful mathematical model to examine the combined impacts of bio convection and electrokinetic forces on nanofluid flow. The presence of cilia, which are described as wave-like motions on the channel walls, promotes fluid propulsion, which improves mixing and mass transport. The velocity and dispersion of nanoparticles and microbes are modified by the inclusion of electroosmosis, which is stimulated by an applied electric field. This adds a significant level of complexity.

To ascertain their impact on flow characteristics, important factors such as bio convection Rayleigh number, Grashoff number, Peclet number and Lewis number are varied. The results demonstrate that while the gyrotactic activity of microorganisms contributes to the stability and homogeneity of the nanofluid distribution, electroosmotic forces significantly enhance fluid mixing and nanoparticle dispersion. This thorough study clarifies how to take advantage of electroosmosis and bio convection in ciliated micro channels to optimize nanofluid-based biomedical applications, such as targeted drug administration and improved diagnostic processes.

First paper discussed “Numerical Computation of Cilia Transport of Prandtl Nanofluid (Blood-Fe₃O₄) Enhancing Convective Heat Transfer along Micro Organisms under Electroosmotic effects in Wavy Capillaries”.

This study aims to examine the influence of various factors on the customers’ purchase intention of renewable energy in Jordan. The hypotheses and model of the study were adopted from previous studies.

The present study was undertaken based on an online survey of 428 Jordanians who are nonusers of renewable energy. The sample was selected using a stratified random sampling method using a structured questionnaire method. Data were analyzed using SPSS version 25.

The results indicated that attitudes, subjective norms (social influence), perceived price, knowledge and perceived behavioral control significantly affect the purchase intention of Jordanian customers to adopt renewable energy. Moreover, the study confirms that there are statistically significant differences between demographic variables such as age, income and education about renewable energy purchasing intentions, whereas gender was not significant.

Some limitations have been identified. First, the generalizability of the findings is one of the common limitations of scientific research, and this study is not an exception. In this regard, the current study has been carried out in the south of Jordan. Therefore, to expand the validity of the findings, future studies need to be attempted in other places in Jordan. Second, the existing study focused on solar panel systems as a form of renewable energy. Future studies could focus on other kinds of renewable energy, such as wind energy. Third, although the sample size of this study was appropriate and sufficient, future studies could use larger samples to enhance the robustness of the results.

The findings of the current study could help practitioners in the renewable energy industry by identifying the key factors that motivate Jordanian customers to purchase and use such technology. They may use the findings of this study in the formulation of marketing policies and the development of marketing strategies to attract more customers to purchase and use renewable energy appliances like solar panels.

This is one of the few studies in the energy industry of Jordan devoted to developing and testing a model of determinants of purchasing intentions for solar panel systems that focuses on renewable energy purchasing behavior. Further, this study used demographic variables as control variables, which makes the study different from other studies by investigating the role of demographic characteristics in the context of the purchase intention for solar panel systems.

This case study investigates the accessibility and inclusivity of the built environment for students with disabilities at a Malaysian public university.

Utilizing a qualitative approach, the research captures the lived experiences of four undergraduates with physical and visual disabilities through semi-structured interviews guided by the Americans with Disabilities Act checklist.

Findings reveal mixed levels of accessibility across campus, highlighting well-designed areas with accessible pathways and ramps, contrasted with others lacking adequate features and posing significant risks, especially for visually impaired students. The study identifies key design shortcomings, including insufficient safety features in staircases and inconsistent availability of modern technological aids and human assistance. Despite some commendable initiatives, the research underscores the need for comprehensive accessibility audits, consistent application of universal design principles and improved support services. Limitations of the study include its small sample size and focus on a single institution.

By addressing these challenges, universities can foster a more inclusive and supportive environment for students with disabilities, promoting equality within higher education.

The purpose of this paper is to investigate the factors affecting anti-consumption behavior of the consumers toward organic food purchase: in particular, how do individual beliefs about trustworthiness of organic foods, normative structure of social pressure and self-efficacy affect individual intentions to make organic food purchases and actual purchasing behavior? To answer this question, a theoretical framework of the theory of planned behavior (TPB) as its foundation has been established. Using measurement scales in order to measure different aspects of trustworthiness, normative structure, self-efficacy, attitude, perceived behavioral control (PBC) and subjective norms, a survey instrument has been developed to examine the several associations implied by the model of TPB.

In doing so, data on a structured questionnaire were collected from various parts of a city based on convenience random sampling procedure. The respondents were interviewed face-to-face to collect information on a structured questionnaire. Data (n=337) were analyzed using a research framework formulated based on the TPB through the structural equation modeling procedure.

The findings of the study indicate that among the seven independent variables of trustworthiness, normative structure, self-efficacy, attitude, subjective norm and PBC, only subjective norm has not been statistically significant to influence organic food purchase behavior.

The result implies that various sociopolitical forces and skewed monthly incomes are inhibiting the consumers (anti-consumption) to increasingly buy the organic food products.

In this regard, government, policy planners, academia as well as media have profound roles to play to encourage people to buy more organic food for their health safety and overall consumer well-being.

This research is based on primary data collected from the respondents of a sub-urban areas of a metropolitan city. The findings will help formulate a sound food policy for ensuring social well-being of the consumers.

This paper aims to incorporate a numerical investigation of unsteady flow of nano-fluid near the boundary wall and heat transmission over a flat sheet in porous media under the assumption that sheet is continuously stretching. A comprehensive study is accomplished to probe the impacts of different physical parameters on heat transmission and fluid flow.

The problem is designed mathematically by using Navier–Stokes equations and corresponding equations are transmuted into non-dimensional form, which are reduced to local non-similarity equations. Implicit finite difference scheme is used to attain a non-similar solution for values of similarity variable ranging in [0,1]

The reduced Nusselt number is a decreasing function of each dimensionless number, while the reduced Sherwood number is an increasing function of each considered value of parameters Pr, Sc, Nb and Nt.

Motivated by the industrial, technological and scientific importance, the objective of this study is to discuss the unsteady flow generated by linear stretching of the surface in Nano-fluid in a porous medium. However, the investigation of unsteady boundary layer flow and heat transfer of a Nano-fluid past a stretching surface immersed in a porous medium has not been discussed yet. Furthermore, finite difference scheme is used to solve the problem, and authenticate results are achieved which are in good agreement with published work.

This study aims to examine the impact of customer experience of cannabis-infused food and beverage perception (sensory experience, novelty experience, health concerns and restaurant experience) on favouring these products and subsequent customer citizenship behaviour.

Using a purposive sampling approach, an onsite survey was administered to Thai Gen Z customers in consuming cannabis-infused foods and/or beverages. Subsequently, the sample consisted of 330 respondents. Partial least squares structural equation modelling was used for the analyses.

The results indicated that sensory experience, health concerns and restaurant experience had significant positive effects on favouring cannabis-infused foods and beverages. This favourability, in turn, positively affected customer citizenship behaviour. In addition, favouring cannabis-infused foods and beverages partially mediated the relationships between customer citizenship behaviour and sensory experience, health concerns and restaurant experience.

This study provides a new contribution to the literature with a first empirical examination showing positive favouring of cannabis-infused foods and beverages among young consumers in Thailand. It provides practical insights for managers in emerging markets to leverage cannabis-infused products as part of the enhancement of the global food and beverage industry. The study also offers an example of how to move forward through an unknown territory regarding perceptions of consumer experiences.

The purpose of this paper is to examine consumer behavior toward halal food purchase in Bangladesh. Specifically, how do individual beliefs about trustworthiness of the halal food products affect individual intentions to purchases and actual purchasing behavior?

To answer this question, a theoretical framework using the theory of planned behavior (TPB) as its basis was established. Using measurement scales created to assess different aspects of trustworthiness, and perceived behavioral control and subjective norms, a survey instrument was developed to test the various relationships implied by TPB. Data were collected from the households located in the metropolitan city of Dhaka during the months of November and December 2017, and the analysis of this data helps answer questions about the different relationships of the constructs of the study.

The findings of the study revealed that four factors, namely, trustworthiness, attitude, normative structure and self-efficacy, significantly influence halal food purchasing. The results also demonstrated that trustworthiness of halal food is one of the most important variables of food marketing in Bangladesh.

In reality, there is a serious lacking of halal food marketing particularly in Bangladesh. In this respect, this study can be a pioneer one and may have some limitations in terms of research procedures.

It is crucial for the halal food marketing and its management organizations to provide their products and services in Islamic way, because it is different from the conventional way of modern marketing.

This result specifically implies that like normative structure and self-efficacy, trust in the authenticity of halal food is particularly important to influence attitude toward halal food purchase in Bangladesh.

This study is perhaps the first study in the context of Bangladesh food market that deals with the halal food purchase behavior of the consumers. In this regard, the findings of the study are important in Islamic marketing and halal food marketing.

The current study attempts to bridge the existing gap related to the role of knowledge acquisition from international alliance partners to improve competitiveness by examining the distinct processes of knowledge acquisition and the challenges confronted in this learning process in order to enhance local and international market performance.

Following case-study approach based on systematic combining, the study presents a case of knowledge acquisition and learning in the context of an international consultancy alliance between leading Pakistani and Chinese engineering firms using six in-depth interviews of key engineers to explore the dynamic mechanisms for knowledge acquisition and learning from the Chinese firm. Grounded analysis drawn upon the Straussian version of grounded theory (GT) {{Strauss, 1990 #136} Strauss, 1998 #139} is used for data analysis in this research.

It was found that the processes of explicit and implicit knowledge acquisition from Chinese firms are integrated consultancy working, social and technical adaptability and seeking confirmation about the work done and knowledge/theories and models used in work. However, these processes are quite complex, posing serious challenges for National Engineering Services, Pakistan to acquire the required knowledge, which can be addressed through partners' motivation to share and acquire knowledge, cultural intelligence and friendship and informal association. The study also found that the knowledge acquired from technologically advanced international organizations by the host partner in the international strategic alliance not only provides a competitive edge to the local host in its local market but also builds its capacity to undertake similar projects in other parts of the world, substantially enhancing its market success.

Adding up to the current literature that focuses on knowledge acquisition in a parent-subsidiary relationship, the current research proposes a framework for knowledge acquisition in the unique context of international strategic alliances. The research provides managerial guidelines to manage knowledge acquisition for gaining a competitive edge that would be helpful for the managers in the era of growing interdependence among the organizations across the borders.

This study aims to investigate experimentally and numerically the thermal analysis of a wavy diverging-converging corrugated enclosure, partitioned into two parts under the effect of magnetohydrodynamic (MHD) natural convection. The left part was filled with Al₂O₃/C₂H₆O₂ nanofluid, while the right part was Al₂O₃/C₂H₆O₂ saturated by a porous medium, featuring a corrugated cylinder at the center. This system is relevant to many engineering applications. Key factors affecting thermal performance, such as nanofluid volume fraction, Darcy number, Hartmann number, inclination angle of MHD and Rayleigh number, were analyzed. This study evaluated the impact of these parameters on stream function, average Nusselt number and isothermal lines under three heat source scenarios: heating the corrugated cylinder, heating the magnetic source and heating the nanofluid, porous media and corrugated walls.

The main governing equations for the nanofluid flow are mass, momentum and heat transfer, while the porous media are modeled using the Darcy–Brinkmann model. These governing equations are transformed into a dimensionless form and solved numerically using COMSOL 6.0 based on the finite-element method. Dynamic viscosity, density and thermal conductivity equations are used to calculate the properties of the nanofluid at different volume concentrations.

The results showed that increasing the Rayleigh number (Ra) and Darcy number (Da) increased the Nusselt number by 55%, indicating enhanced heat transfer. A vertical magnetic source (γ = 90°) further improved thermal performance. Conversely, thermal performance decreased with increasing Hartmann number (Ha). The highest Nusselt number was observed when the heat source was applied to the corrugated cylinder, followed by the right side with nanofluid–porous contact and was lowest for the left side with nanofluid contact. Experimental data demonstrated that the presence of a magnetic field can significantly increase the temperature, thereby enhancing heat transfer by natural convection, particularly when the heat source is applied in the region of nanofluid–porous contact.

The primary originality of this work lies in the use of a novel design featuring a diverging-converging structure with a wavy wall. In addition, it uses two types of fluids simultaneously, dividing the enclosure into two sections: the right side contains nanofluid mixed with a porous medium, while the left side is filled with nanofluid only. The system also includes a corrugated cylinder at its center with four undulations. The position of the heat source significantly influences heat dissipation. Therefore, three different positions were examined: heating the cylinder at a constant temperature, heating the left side of the enclosure and heating the right side.

The purpose of the study is to analytically as well as numerically investigate the weight of throughflow on the onset of Casson nanofluid layer in a permeable matrix. This study examines both the marginal and over stable kind of convective movement in the system.

A double-phase model is used for Casson nanofluid, which integrates the impacts of thermophoresis and Brownian wave, whereas for flow in the porous matrix the altered Darcy model is occupied under the statement that nanoparticle flux is disappear on the boundaries. The resultant eigenvalue problem is resolved analytically as well as numerically with the help of Galerkin process with the Casson nanofluid Rayleigh–Darcy number as the eigenvalue.

The findings revealed that the throughflow factor postpones the arrival of convective flow and reduces the extent of convective cells, whereas the Casson factor, the Casson nanoparticle Rayleigh–Darcy number and the reformed diffusivity ratio promote convective motion and also decrease the extent of convective cells.

Controlling the convective movement in heat transfer systems that generate high heat flux is a real mechanical challenge. The proposed framework proved that the use of throughflow is one of the most important ways to control the convective movement in Casson nanofluid. To the best of the authors’ knowledge, no inspection has been established in the literature that studies the outcome of throughflow on the Casson nanofluid convective flow in a porous medium layer. However, the convective flow of Casson nanofluid finds many applications in improving heat transmission and energy efficiency in a range of thermal systems, such as the cooling of heat-generating elements in electronic devices, heat exchangers, pharmaceutical practices and hybrid-powered engines, where throughflow can play a significant role in controlling the convective motion.

In the vibrant world of social commerce (SC), where information flows freely, interactions thrive and online purchases abound, there is an escalating challenge. Users are uninstalling and disengaging due to approach and avoidance stimuli, a trend mirroring the approach-avoidance motivation model (AAMM). Our study, anchored in AAMM and the stimulus-organism-response (SOR) model, aims to dive into the complex dynamics of these factors that shape users' SC continuance intentions.

Our findings, drawn from 472 SC users in Malaysia, paint an intriguing research framework via PLS-SEM analysis by testing the proposed hypotheses. A purposive sampling technique was utilized, deliberately selecting respondents based on specific criteria. Subsequently, data were gathered through the distribution of face-to-face questionnaires at selected shopping malls, facilitating a focused and comprehensive exploration of consumer perspectives.

The empirical results demonstrate the following: (1) Users' determination to stay engaged on SC platforms hinges on approach factors, like emotional support, surveillance gratification and multisensory gratification. (2) Simultaneously, avoidance factors such as technostress and perceived deception exert their negative influence. (3) Flow experience, rooted in flow theory, emerges as the underlying mechanism connecting these duality stimuli, influencing the continuance intention.

In a departure from conventional research, our study pioneers a comprehensive approach and boldly confronts the research gap by introducing a rich tapestry of antecedents, embracing both the appeal of approach factors and the deterrence of avoidance ones, using the AAMM that sheds light on how individuals navigate between embracing opportunities and avoiding pitfalls based on perceived gains and losses. This holistic approach enables us to redefine our understanding of digital engagement dynamics, offering a captivating journey into the realm of user experience and intention that transcends the ordinary.

By integrating the Uses and Gratifications Theory and Flow Theory, this research seeks to untwine the veiled effects of interactive commerce enhancements (ICEs), specifically haptic imagery and social presence, in promoting user immersion and sustaining social commerce (SC) users' usage intention, considering the moderating role of autotelic personality.

The research utilized purposive sampling of Malaysian SC app users with recent transactions. A dual-source data collection approach, encompassing offline and online channels, was employed to ensure a broad and diverse respondent pool. Partial least squares–structural equation modeling was chosen for its adeptness in analyzing complex relationships in predictive studies.

The findings revealed the significant positive effects of haptic imagery and social presence on user immersion and continuance intention within SC apps. Social presence and immersion were found to mediate the proposed paths. Additionally, autotelic personality traits were identified as moderators, influencing the strength of these relationships.

This research makes a unique contribution by addressing critical gaps in SC environments, extending the concept of ICEs, understanding the impacts of underlying mediators and pioneering the examination of autotelic personality traits' moderating effects. It introduces a fresh perspective on how individual differences impact user engagement. This groundbreaking study benefits social media and interactive marketing literature by comprehensively understanding how ICEs elevate SC, fostering innovation and heightened engagement.

In recent days, there is a huge loss in the income of farmers due to the reasons such as low water lever and increased pesticide attack. Therefore, the purpose of this paper is to establish an efficient reliable low-cost information gathering Reliable Low-Cost Information Gathering Protocol (RLCIG) protocol for agricultural water irrigation using optimal clustering and path selection technique where the RCIG protocol wrinkles the expedient statistics about the moisture and temperature of the soil and it will be installed few inches below the pipeline. Thereafter, the congregated data will augment the irrigation of water by using a decision-making algorithm.

The projected model has been inscribed mathematically by underlying the wireless sensor networks (WSN) framework with deliberation of contemporary challenges. Furthermore, the energy, cost and expanse optimization framework in the WSN framework is presented. The projected technique has been tested using network simulator and the results are also integrated MATLAB.

Recently, for efficacious management in the field of agriculture, the WSN has been successfully assimilated. This instigation accomplishes the irrigation management in terms of energy, cost and communication distance. The simulation result shows that the proposed model yields better results in terms of both the transmission range and cost with efficient lifetime improvement in comparisons with existing techniques.

Agriculture is the need of the time whatever invention happens in the scientific world without food production no lives survive on the earth, hence, the scientific invention should also focus on agriculture, in this contrast, the authors have proposed an efficient low-cost information gathering (RCIG) protocol for agricultural water irrigation using optimal clustering and path selection technique.

Digitalisation is reshaping the learning process, shifting it towards personalisation and online learning, and fuelling the growth of massive open online courses (MOOCs) and micro-credentials. Despite being a popular global trend, limited studies have looked at micro-credentials and their impact on learners' behavioural outcomes. The purpose of this study is to investigate the impact of programme design factors on learning experience, as well as the inter-relationships between programme design, learning experience and behavioural responses (e.g. engagement and willingness to pay more (WTPM)) towards micro-credentials. In addition, the study aims to investigate learning enjoyment as a moderator.

A survey questionnaire was used to collect data from 354 respondents who are working adults living in the major economic states in Malaysia. Data analysis was performed using the analysis of a moment structures (AMOS) statistical software and SPSS (Statistical Package for the Social Sciences) PROCESS macro.

The results show the significance of programme design factors (i.e., flexibility, system quality and content quality) in determining the learning experience. The learning experience is found as a mediator in the relationship between programme design factors and learner engagement and WTPM. In addition, the moderation assessment confirms that enjoyment during learning strengthens the relationship between experience and behavioural responses.

This study is amongst a few selected studies that focus on engagement in and WTPM for micro-credentials. In addition, it emphasises the mediating role of the learning experience and the moderating role of enjoyment in understanding the impact of programme design on learners' experiences and behavioural responses.

The purpose of this paper is to extend the theory of planned behaviour (TPB) to identify the factors influencing Muslim customers’ intention to revisit non-halal certified restaurants.

A purposive sampling method was applied. Self-administered survey questionnaires were distributed around shopping malls in Kuala Lumpur, Putrajaya, the Northern region and the East Coast of Malaysia. From 601 questionnaires collected, only 578 questionnaires were satisfactory. SMART-PLS 3.3.2. was used to analyse the data for this study using a structural equation modelling approach.

The findings confirmed that price fairness and food quality positively influenced attitude perceived behavioural control and food quality affecting the customers’ intention to revisit non-halal certified restaurants. Subjective norm was found to be an insignificant factor towards revisit intention. In addition, the attitude was found to mediate the relationship between price fairness and revisit intention and between food quality and revisit intention. Trust was highlighted as moderating the relationship between attitude and revisit intention.

The findings of this study will primarily benefit food premises, whether halal-certified or otherwise.

The study extends the TPB with food quality and price fairness to identify the factors of revisit intention for the non-halal certified restaurant among Muslim consumers in Malaysia. The study shows the mediating effects of attitude for the relationship between food quality and price fairness towards revisit intention. On top of that, the study also included the moderating effect of trust on the TPB. The findings also enrich the literature on the non-halal certified context.

This paper aims to examine the money laundering vulnerability of private legal practitioners in Tanzania, the involvement of these practitioners in money laundering activities and their role in preventing, detecting and thwarting money laundering and its predicate crimes.

The paper applies the “black-letter” law research approach to describe, examine and analyze the anti-money laundering law in Tanzania. It also uses the “law-in-context” research approach to interrogate the anti-money laundering law and to provide an understanding of factors impacting on the efficacy and readiness of private legal practitioners in Tanzania to tackle money laundering. The review of literature and analysis of statutory instruments and case law, reports of the anti-money laundering authorities and agencies and media reports-generated data are used in this paper. This information was complemented by data from interviews of purposively selected private legal practitioners.

Private legal practitioners in Tanzania are vulnerable to money laundering. There is an emerging evidence that indicates the involvement of some private legal practitioners in the commission of money laundering and/or its predicate crimes. The law designates the legal practitioners as reporting persons and imposes on the obligation to fight against money laundering. Law-related factors and practical challenges undermine the capacity of the legal practitioners to curb money laundering. Additionally, certain hostile perceptions contribute to the legal practitioners’ unwillingness, indifference or opposition against the fight against money laundering.

The paper underscores the need for Tanzania to reform its policy and legal frameworks to create enabling environment for anti-money laundering gatekeepers, including private legal practitioners to partake efficiently in the fight against money laundering. It also underlines the importance of incorporating the principles that govern the private legal practise to enable the practitioners to partake effectively in tackling money laundering.

This paper generates useful information to private legal practitioners, policy makers and academicians on issues relating to money laundering and its control in Tanzania and presents recommendations on possible policy and legal reforms that can be adopted and applied to augment the role of the legal practitioners in Tanzania to combat money laundering.

This study aims to examine the most influential drivers, both product-specific and consumer-specific, affecting Asian consumers' willingness to pay (WTP) for organic olive oil.

To individuate the most influential drivers of WTP for organic products and to assess their effect, in terms of configurational paths and consumer profiles, this study sequentially employs explorative factor analysis approach and a fuzzy-set qualitative comparative analysis method. The survey is carried out in different areas of Asia (e.g. Pakistan, Vietnam and China).

The results suggest that Asian consumers' WTP for organic products is described by consumer-specific drivers (gender, occupation and household size) as well as product-specific drivers (product authenticity and sustainability, consumer ethnocentrism and food fraud risk perception).

The findings of the study permit the identification of different drivers that move consumers' WTP for organic olive oil. The study contributes to setting the ground for companies to propose and implement efficacious marketing strategies for organic olive oil in importing countries, such as Asia.

Nonlinear mixed-convective entropy optimized the flow of hyperbolic-tangent nanofluid (HTN) with magnetohydrodynamics (MHD) process is considered over a vertical slendering surface. The impression of activation energy is incorporated in the modeling with the significance of nonlinear radiation, dissipative-function, heat generation/consumption connection and Joule heating. Research in this area has practical applications in the design of efficient heat exchangers, thermal management systems or nanomaterial-based devices.

Suitable set of variables is introduced to transform the PDEs (Partial differential equations) system into required ODEs (Ordinary differential equations) system. The transformed ODEs system is then solved numerically via finite difference method. Graphical artworks are made to predict the control of applicable transport parameters on surface entropy, Bejan number, Sherwood number, skin-friction, Nusselt number, temperature, velocity and concentration fields.

It is noticed from present numerical examination that Bejan number aggravates for improved estimations of concentration-difference parameter a_2, Eckert number E_c, thermal ratio parameter ?_w and radiation parameter R_d, whereas surface entropy condenses for flow performance index n, temperature-difference parameter a_1, thermodiffusion parameter N_t and mixed convection parameter ?. Sherwood number is enriched with the amplification of pedesis-motion parameter N_b, while opposite development is perceived for thermodiffusion parameter. Lastly, outcomes are matched with formerly published data to authenticate the present numerical investigation.

To the best of the authors' knowledge, no investigation has been reported yet that explains the entropic behavior with activation energy in the flowing of hyperbolic-tangent mixed-convective nanomaterial due to a vertical slendering surface.

Several graphs, streamlines, isotherms and 3D plots are illustrated to enlighten the noteworthy fallouts of the investigation. Embedding flow factors for velocity, induced magnetic field and temperature have been determined using parametric analysis.

Ternary hybrid nanofluids has outstanding hydrothermal performance compared to classical mono nanofluids and hybrid nanofluids owing to the presence of triple tiny metallic particles. Ternary hybrid nanofluids are considered as most promising candidates in solar energy, heat exchangers, electronics cooling, automotive cooling, nuclear reactors, automobile, aerospace, biomedical devices, food processing etc. In this work, a ternary hybrid nanofluid flow that contains metallic nanoparticles over a wedge under the prevalence of solar radiating heat, induced magnetic field and the shape factor of nanoparticles is considered. A ternary hybrid nanofluid is synthesized by dispersing iron oxide (Fe3O4), silver (Ag) and magnesium oxide (MgO) nanoparticles in a water (H₂O) base fluid. By employing similarity transformations, we can convert the governing equations into ordinary differential equations and then solve numerically by using the Runge–Kutta–Fehlberg approach.

There is no fund for the research work.

This kind of study may be used to improve the performance of solar collectors, solar energy and solar cells.

This investigation unfolds the hydrothermal changes of radiative water-based Fe₃O₄-Ag-MgO-H₂O ternary hybrid nanofluidic transport past a static and moving wedge in the presence of solar radiating heating and induced magnetic fields. The shape factor of nanoparticles has been considered in this study.

This study aims to examine the impact of the three dimensions of materialism, namely, possessiveness, envy and non-generosity along with attitude on the purchase intention of sustainable luxury products.

The research study contains a descriptive approach to research with a quantitative analysis done with exploratory and confirmatory factor analysis with 229 respondents.

The findings of the results contribute to research by extending the model of the theory of planned behavior with the material dimensions as an add-on.

The same could have been extended to all major metro cities of Indian where luxury brands are present in malls.

This shows that the consumer with a high level of materialism trait would be a very prospective segment for sustainable luxury brands.

The study shows that the three dimensions of materialism do impact the purchase intention of sustainable luxury producers and these findings will be crucial for devising consumer behavior-based strategies for sustainable luxury brands.

Material extrusion-based additive manufacturing is a prominent manufacturing technique to fabricate complex geometrical three-dimensional (3D) parts. Despite the indisputable advantages of material extrusion-based technique, the poor surface and subsurface integrity hinder the industrial application of this technology. The purpose of this study is introducing the hot air jet treatment (HAJ) technique for surface treatment of additive manufactured parts.

In the presented research, novel theoretical formulation and finite element models are developed to study and model the polishing mechanism of printed parts surface through the HAJ technique. The model correlates reflow material volume, layer width and layer height. The reflow material volume is a function of treatment temperature, treatment velocity and HAJ velocity. The values of reflow material volume are obtained through the finite element modeling model due to the complexity of the interactions between thermal and mechanical phenomena. The theoretical model presumptions are validated through experiments, and the results show that the treatment parameters have a significant impact on the surface characteristics, hardness and dimensional variations of the treated surface.

The results demonstrate that the average value of error between the calculated theoretical results and experimental results is 14.3%. Meanwhile, the 3D plots of Ra and Rq revealed that the maximum values of Ra and Rq reduction percentages at 255°C, 270°C, 285°C and 300°C treatment temperatures are (35.9%, 33.9%), (77.6%,76.4%), (94%, 93.8%) and (85.1%, 84%), respectively. The scanning electron microscope results illustrate three different treatment zones and the treatment-induced and manufacturing-induced entrapped air relief phenomenon. The measured results of hardness variation percentages and dimensional deviation percentages at different regimes are (8.33%, 0.19%), (10.55%, 0.31%) and (−0.27%, 0.34%), respectively.

While some studies have investigated the effect of the HAJ process on the structural integrity of manufactured items, there is a dearth of research on the underlying treatment mechanism, the integrity of the treated surface and the subsurface characteristics of the treated surface.

In recent times, there has been a growing interest in buoyancy-induced heat transfer within confined enclosures due to its frequent occurrence in heat transfer processes across diverse engineering disciplines, including electronic cooling, solar technologies, nuclear reactor systems, heat exchangers and energy storage systems. Moreover, the reduction of entropy generation holds significant importance in engineering applications, as it contributes to enhancing thermal system performance. This study, a numerical investigation, aims to analyze entropy generation and natural convection flow in an inclined square enclosure filled with Ag–MgO/water and Ag–TiO2/water hybrid nanofluids under the influence of a magnetic field. The enclosure features heated slits along its bottom and left walls. Following the Boussinesq approximation, the convective flow arises from a horizontal temperature difference between the partially heated walls and the cold right wall.

The governing equations for laminar unsteady natural convection flow in a Newtonian, incompressible mixture is solved using a Marker-and-Cell-based finite difference method within a customized MATLAB code. The hybrid nanofluid’s effective thermal conductivity and viscosity are determined using spherical nanoparticle correlations.

The numerical investigations cover various parameters, including nanoparticle volume concentration, Hartmann number, Rayleigh number, heat source/sink effects and inclination angle. As the Hartmann and Rayleigh numbers increase, there is a significant enhancement in entropy generation. The average Nusselt number experiences a substantial increase at extremely high values of the Rayleigh number and inclination.

This numerical investigation explores advanced applications involving various combinations of influential parameters, different nanoparticles, enclosure inclinations and improved designs. The goal is to control fluid flow and enhance heat transfer rates to meet the demands of the Fourth Industrial Revolution.

In a 90° tilted enclosure, the addition of 5% hybrid nanoparticles to the base fluid resulted in a 17.139% increase in the heat transfer rate for Ag–MgO nanoparticles and a 16.4185% increase for Ag–TiO2 nanoparticles compared to the base fluid. It is observed that a 5% nanoparticle volume fraction results in an increased heat transfer rate, influenced by variations in both the Darcy and Rayleigh numbers. The study demonstrates that the Ag–MgO hybrid nanofluid exhibits superior heat transfer and fluid transport performance compared to the Ag–TiO2 hybrid nanofluid. The simulations pertain to the use of hybrid magnetic nanofluids in fuel cells, solar cavity receivers and the processing of electromagnetic nanomaterials in enclosed environments.

This paper aims to examine and discuss the factors affecting consumers' purchase intentions for ice cream in India.

This study is based on a primary survey of 340 respondents from India, collected through a well-structured questionnaire. The data has been analysed using partial least square-based structural equation modelling (PLS-SEM). The theory of planned behaviour (TBP) has been used to identify the determinants of the purchase intention of ice cream.

The measurement model shows that the constructs of the model have adequate convergent and discriminant validity. The findings of the structural model show the positive and significant impact of subjective norms, perceived behavioural control, and trustworthiness on attitudes and purchase intentions for ice cream. In addition, estimates also revealed that attitude has significant implications on purchase intention.

The study provides insight into the factors that influence ice cream purchase intentions in India. Corporate strategy makers and advertising managers who work for ice cream brands can look at the study to figure out how to market their products to get more customers.

The novelty and value of this study lie in choosing an unexplored product (ice cream) whose demand is continuously increasing. Perhaps this is the first study in an emerging economy like India to consider an extended version of the TPB by including health consciousness and trustworthiness to establish the relationship between ice cream purchase intention and health consciousness.

The purpose of this study is to identify the determinants of success in peer-to-peer (P2P) lending campaigns, especially amid global financial disruptions like the COVID-19 pandemic. Addressing a notable gap in current research, we explore how factors such as firm uncertainty, loan characteristics (interest rates and maturity) and venture quality (human, social and intellectual capital) influence P2P lending effectiveness. Using multiple regression analysis on data from 523 projects on the October platform, our study aims to enhance the understanding and operational efficiency of P2P platforms, contributing to a more resilient financial ecosystem.

This study employs a quantitative research design using multiple regression analysis to examine the impact of specific variables on the success of P2P lending campaigns. Data were collected from 523 concluded P2P lending projects on the October platform, spanning from 2015 to 2021. Variables of interest include the level of uncertainty of the firm, loan characteristics such as interest rate and maturity and the quality of the venture assessed through human, social and intellectual capital. This method allows for a robust analysis of the factors contributing to the success of P2P lending within a dynamic financial context.

The findings of this study reveal that the success of P2P lending campaigns is significantly influenced by the level of uncertainty of the firm, the interest rate of the loan and the quality of the venture. Specifically, higher uncertainty in firms correlates negatively with campaign success, while competitive interest rates positively impact funding outcomes. Furthermore, ventures that demonstrate robust human capital, particularly those with management teams that possess diverse skills and high qualifications, tend to attract more funding. These results underscore the critical role of strategic financial and human resource planning in enhancing the effectiveness of P2P lending platforms.

This study contributes uniquely to the literature by integrating multiple variables – firm uncertainty, loan characteristics and venture quality – into a comprehensive analysis of success factors in P2P lending. It addresses the scarcity of research examining the combined effects of these factors, particularly in the context of global financial disruptions like the COVID-19 pandemic. By focusing on a specific European platform during a dynamic period, this research provides new insights into how P2P lending can adapt to and thrive amid financial crises. The findings offer valuable guidance for both practitioners and policymakers aiming to optimize P2P lending practices in uncertain economic landscapes.

This study aims to investigate entropy generation through natural convection and examine heat transfer properties within a partially heated and cooled enclosure influenced by an angled magnetic field. The enclosure, subjected to consistent heat production or absorption, contains a porous medium saturated with a hybrid nanofluid blend of Cu-Fe₃O₄ and MoS₂-Fe₃O₄.

The temperature and velocity equations are converted to a dimensionless form using suitable non-dimensional quantities, adhering to the imposed constraints. To solve these transformed dimensionless equations, the finite-difference method, based on the MAC (Marker and Cell) technique, is used. Comprehensive numerical simulations address various control parameters, including nanoparticle volume fraction, Rayleigh number, heat source or sink, Darcy number, Hartmann number and slit position. The results are illustrated through streamlines, isotherms, average Nusselt numbers and entropy generation plots, offering a clear visualization of the impact of these parameters across different scenarios.

Results obtained show that the Cu-Fe₃O₄hybrid nanofluid exhibits higher entropy generation than the MoS₂-Fe₃O₄ hybrid nanofluid when comparing them at a Rayleigh number of 10⁶ and a Darcy number of 10^–1. The MoS₂ hybrid nanofluid demonstrates a low permeability, as evidenced by an average Darcy number of 10^–3, in comparison to the Cu hybrid nanofluid. The isothermal contours for a Rayleigh number of 10⁴are positioned parallel to the vertical walls. Additionally, the quantity of each isotherm contour adjacent to the hot wall is being monitored. The Cu and MoS₂ nanoparticles exhibit the highest average entropy generation at a Rayleigh number of 10⁵ and a Darcy number of 10^–1, respectively. When a uniform heat sink is present, the temperature gradient in the central part of the cavity decreases. In contrast, the absence of a heat source or sink leads to a more intense temperature distribution within the cavity. This differs significantly from the scenario where a uniform heat sink regulates the temperature.

The originality of this study is to examine the generation of entropy in natural convection within a partially heated and cooled enclosure that contains hybrid nanofluids. Partially heated corners are essential for optimizing heat transfer in a wide range of industrial applications. This enhancement is achieved by increasing the surface area, which improves convective heat transfer. These diverse applications encompass fields such as chemical engineering, mechanical engineering, surface research, energy production and heat recovery processes. Researchers have been working on improving the precision of heated and cold corners using various methods, such as numerical, experimental and analytical approaches. These efforts aim to enhance the broad utility of these corners further.

This study aims to examine the factors of implementing istibdal waqf and generating cash waqf funds through istibdal in Penang. This study was based on the previous problem statements, stating that waqf property could not be developed due to lack of cash funds. This has allowed the study to explore the factors for implementing istibdal waqf property and the extent to which the istibdal method can generate cash waqf funds in Penang.

This study adopted a qualitative method by conducting semi-structured interviews to achieve its research goals. Semi-structured interviews were conducted to comprehensively understand the current practice on istibdal cases in Penang State Islamic Religious Council (MAINPP) through official institutions concerned with waqf management practices in Penang. This research relied on purposive sampling to select the informants. It is a sampling strategy to select the informants in advance based on the research question. To achieve the purpose of this study, two officers from MAINPP were selected based on their working experience and specialisation criteria. As a result, several themes were successfully defined from the interview data before being analysed based on the content analysis method.

The results present three istibdal implementation processes outlined by MAINPP, namely, the istibdal implementation process for waqf land involved in the acquisition by state authorities (PBN), non-productive waqf land and istibdal applications from certain parties. The results also reveal two factors in implementing istibdal in Penang: the acquisition of waqf land by PBN and the application of istibdal for cemeteries by the Islamic Centre of Universiti Sains Malaysia. From the point of cash fund generation, no case of istibdal implementation records the generation of cash funds to MAINPP. Thus, this study ends with proposals for improving the process and implementing istibdal in Penang to generate cash funds to help MAINPP manage waqf properties.

The study only focused on implementing factors and generating cash waqf funds through istibdal in Penang. At the same time, it can be expanded to other states like Terengganu, Johor and Kelantan. This study only interviewed officers who manage matters related to the affairs of waqf properties. Therefore, it is believed that the study can be extended to other respondents, such as experts in cash fund generation investments and others.

This study proposed improvements to the policy and practice of istibdal waqf property to MAINPP after the shortcomings were identified throughout this study. If improved, these proposals will significantly impact the waqf properties involved in implementing istibdal, where it can generate cash and ensure the constant economic value of waqf properties.

This study has great implications for society through the development of a cash waqf fund that can provide great benefits to the needy, in addition to increasing funds for the welfare expenditure of Muslims through rental income, investment and development. Progress and significant impact on waqf property can provide a high indicator of the efficiency of an organisation in managing waqf property. This can attract the interest of the public, especially the wealthy, to always fulfil welfare through the waqf mechanism and share the wealth with the needy.

This study contributes to comprehensive field data on the implementation of istibdal in Penang. The data analysis results are significant to be used by the waqf property management.

The paper looks at local experience and concerns in environmental disasters in the upper Indus Basin, widely thought to become more serious due to climate change. Emphasis is on the lives and livelihoods, responses, and concerns of those most affected. Several events and their contexts are examined. They highlight socially distributed and differentiated risks, losses, adaptive capacities, and available or absent protections. Cases at the village level underline problems relating to aspects of women's work and health; and how, while traditional practices are being enforced to ensure their continued seclusion and subordination, the villages and men's work are increasingly drawn into the modern economy and modernizing developments. Often these trends undermine traditional risk-averse practices but fail to provide alternatives. Some larger disasters reveal a disconnect between research and official responses, and expose the needs of local communities, whether in villages or mountain towns. This study examines how exposure and vulnerability to environmental dangers are a social construct. It leads to an argument for the “professional ear” in these contexts, finding ways to listen to those rarely heard, and translations that respect their concerns. Such work looks at conditions essentially invisible to climate models, and differing in character and approach. Arguably, it should come ahead of attempts to use model results to propose adaptive responses in these contexts.

The purpose of this study is to address the global COVID-19 pandemic related to its sustainability, such as environmental, economic and social concerns. The short study also examined how various innovative approaches can help promote sustainable production.

The methodology examines hypothetical scenarios of the current pandemic and tries to describe the quality of evidence to facilitate careful, critical engagement by readers. Secondary data is used to identify sustainability challenges, such as environmental, social and economic viability challenges. The information in this report was gathered from numerous media outlets, research agencies, policy papers, newspapers and other sources to gain a better knowledge of the issue.

As a result, most industry executives and policymakers are looking for appropriate strategies and policies to improve their practices and meet consumer demand. The outcomes explore that the COVID-19 pandemic is a central factor in changes in people’s behavior, reflecting sustainability such as environmental, social and economic responsibility. The COVID-19 outbreak, surprisingly, had a bigger effect on sustainable consumption, accompanied by environmental sustainability, and, to a lesser extent, social and economic viability.

Limited secondary evidence and data could not scrutinize the study’s actual problem statements. Hence, it is recommended that the gap in research be fulfilled by conducting a primary survey among various groups of economists, environmentalists and industrialists using the cluster sampling technique by validating the questionnaire of the total sustainable production system. Proposing frameworks for improving the resilience of production and a systematic possible upgraded manufacturing system by using the Industry 4.0 technology during operational processes could advance market demand.

The COVID-19 scenario has compelled manufacturing firms to put their production systems on hold for an extended period while they seek long-term solutions to assure simple delivery and cooperation from both business and consumer standpoints. Various aspects of supply and demand are discussed in the referendum, as well as production and consumption challenges during the COVID-19 era. There is a need to restore the production system and find the right source of raw materials. This work focuses on commodity inventory management systems due to mass production, but due to pandemics, it is not in demand and vice versa. The researcher made comprehensible remarks on the use of digitization in the pandemic, which improves social distancing and social well-being and promotes the production system as well. Besides, manufacturing plants should switch to digital manufacturing to reduce the number of workplaces and hence the risk of an outbreak. Therefore, a better supply chain network is needed to supply more manufacturing units.

There is a bright side of coronavirus that the public health crisis raised worldwide has brought many opportunities for governments and society to make eternal reforms in the public health sector door. During restricted movements for fulfilling market demand, the Industry 4.0 technologies for automation, mechanization and digitalization can help significantly advance a company. This technological advancement and computer digitization for the perspective people may improve the environment, economic and social sustainability also increase social media adoption, which can be crucial for agri-businesses to evaluate customers’ behavior and consumption trends.

The paper also instructed to identify critical success factors, barriers and drivers for dealing with the pandemic situation and to develop a strategic policy framework to improve production and process flexibility through the remarkable introduction of digital manufacturing. Before it is too late to stop the spread, producers and consumers must grasp the limits to which suppliers might drive nature.

The present research investigates the role of product availability, environmental concern, and social media concerning the intention to purchase green food products by utilising the extended theory of planned behaviour framework in a developing economy.

A self-administered questionnaire collected information from 412 adults and educated consumers from Vadodara city in India. The questionnaire items were used to collect data from previous studies and further validated using confirmatory factor analysis. The data were further analysed using partial least square-structural equation modelling.

The study findings indicated that attitude and perceived behavioural control impact the purchase intention regarding green food products, while subjective norms were found not supportive. At the same time, product availability influences perceived behavioural control and increases the volitional control amongst consumers. Moreover, social media positively impacts the theory of planned behaviour’s key constructs.

The outcomes of the present study provide marketing managers with enhanced insight into the relationship between consumers' perception and green food product consumption in the context of social media influence. The findings could help green food producers evaluate the extent of consumers' intentions to buy their products in developing countries.

To the best of the researchers’ knowledge, the present research is amongst the pioneers in India that focuses on the variables of the theory of planned behaviour, which led to knowing the role of green food availability and social media influence in green food products. At the same time, the focus on purchase intention concerning green food products adds to the study’s uniqueness.

The adoption of Islamic banking (AIB) among customers has remained in the limelight due to its significance in the strategic marketing of Islamic banking (IB) services. Although researchers have devoted a significant effort to investigating the drivers of AIB, little is known about the exclusive barriers hampering AIB. Accordingly, this paper aims to examine the underlying barriers to the adoption of Islamic banking (BAIB) and categorize them into different research clusters using bibliometric analysis.

The data was collected from 132 articles published in Scopus database between 2007 and 2022 and analyzed using VOSviewer to explore BAIB.

The findings clustered the barriers to AIB into three groups, namely, efficiency of IB products and services (service quality, Shariah compliance level, availability of services), behavioral (knowledge and awareness, religiosity, trust and intention) and personal attributes (innovativeness, understanding of mobile/internet banking and technology acceptance) factors of Islamic bank customers.

The sample size of this study is relatively small, as the data was imported from Scopus database only to perform Bibliometric analysis. Future studies may use larger sample size by retrieving data from other databases such as Web of Science and PubMed to develop better research clusters of BAIB.

The dynamic business environment and unprecedented changes in consumer behavior require managers creating suitable conditions to foster adoption of their services and capture a better market share.

Following the findings of this research, future research avenues are identified for strategic embeddedness and global development of IB by overcoming BAIB.

In recent years, the use of mobile devices for academic persistence has grown to be an indispensable element of students’ learning, highlighting the broad acceptance and adaptability of mobile technology in learning environments. The current study examines how college students in rural areas use mobile devices and how self-efficacious they are when seeking online information. Additionally, the study investigated the connection between mobile devices usage (MDU), mobile devices self-efficacy (MDSE) and online information seeking behavior (OISB) on the basis of demographic differences.

A quantitative research design was used by deploying a five-point Likert scale for measurement, Statistical Package for Social Sciences (SPSS) v.26 was used for data analysis. A variety of statistical methodologies, including t-tests, ANOVA and correlation coefficients, were conducted to inspect and assess MDU, MDSE and OISB across gender and age groups. Data from 331 students at the public sector college in a rural region was gathered using a questionnaire. A total of 315 legitimate replies were received.

The study's conclusions showed that the respondents used their mobile devices for educational purposes less frequently. Nonetheless, the respondents' degrees of MDSE and OISB appear to be high. Furthermore, a strong link was demonstrated among the MDU, MDSE and OISB. On the contrary, there was a negative correlation link between MDU and both MDSE & OISB, while a positive correlation between MDSE and OISB was found. The results also showed substantial variance in all research components based on age and gender, indicating that male and younger respondents performed more efficiently than female and adult respondents.

These results indicate that information literacy guidelines and a variety of educational initiatives should be put together by the government, educational policymakers, librarians and educators, with a focus on how to use mobile devices for learning and information seeking. This will make it possible for students to more efficiently find the information using their portable devices.

This study addresses a critical gap in understanding consumer behavior toward indigenous chicken, investigating the interaction between cognitive factors and purchase decisions. The current research offers a valuable contribution to the field of sustainable food marketing by shedding light on these dynamics.

The research employed a quantitative survey method to gather data from consumers of indigenous chicken in Malaysia and analyzed it using structural equation modeling.

Health and price consciousness, along with effort expectancy, significantly influence consumer attitudes toward indigenous chicken. However, environmental consciousness and availability do not directly impact attitude. Similarly, attitude mediates the relationship between health consciousness, price consciousness, effort expectancy and purchase behavior, while attitude does not mediate the relationship between environmental consciousness, availability and purchase behavior of indigenous chicken.

This study is one of the pioneering works to apply the cognitive affect behavior (CAB) model to examine the factors influencing consumer attitudes and purchase behavior toward indigenous chicken. It investigates how constructs such as health consciousness, environmental consciousness, price consciousness, effort expectancy and availability affect these attitudes and behaviors, offering novel insights into the purchase intentions of younger and educated individuals.

While the Noble Quran dictates the prohibition of interest, conventional banks promote Islamic banking by opening Islamic banking windows. Against this backdrop, this study aims to investigate the perceived gaps between managers and clients in Islamic marketing and banking, focusing on conventional banks’ Islamic banking windows.

Guided by a qualitative approach, semi-structured personal interviews and observations served as the data collection methods, involving 25 banks and 50 respondents in 3 different districts, namely, Shirajganj, Rajshahi and Chapainawabganj of Bangladesh from January to October 2023. The data were analysed using ATLAS.ti 2023 to explore codes and quotations derived from 14 interview questions. Further, ATLAS.ti 2023 facilitated synthesizing content, concepts, code occurrence, network analysis and thematic analysis.

Islamic and non-Islamic banks use Quranic verses, hadiths (prophetic traditions), images of mosques, the Kaaba and Arabic texts as Islamic marketing tools. These spiritual, divine and prescriptive tools are associated with Islamic banking. However, conventional banks receive criticism for having separate Islamic banking windows to serve religiously conscious clients, which generates tension among clients and bank managers.

The findings can theoretically assist academics in examining conventional banks’ Islamic marketing and banking practices, opening Islamic banking windows. Importantly, Shariah boards can play policy roles in safeguarding the function of Islamic marketing and banking. Managers can use the findings to anticipate client perceptions and enhance Islamic marketing and banking strategies. Likewise, the social implications include the explicit stance of Shariah to mitigate the mixture of halal and haram banking.

This pioneering study explores the perspectives of Islamic banking windows by non-Islamic banks. The combination of Islamic marketing and banking is a noteworthy novelty in this study and deserves recognition for its unique contribution to halal marketing and finance.

The purpose of this paper is to showcase the utilization of the magnetohydrodynamics-microrotating Casson’s nanofluid flow model (MHD-MRCNFM) in examining the impact of an inclined magnetic field within a porous medium on a nonlinear stretching plate. This investigation is conducted by using neural networking techniques, specifically using neural networks-backpropagated with the Levenberg–Marquardt scheme (NN-BLMS).

The initial nonlinear coupled PDEs system that represented the MRCNFM is transformed into an analogous nonlinear ODEs system by the adoption of similarity variables. The reference data set is created by varying important MHD-MRCNFM parameters using the renowned Lobatto IIIA solver. The numerical reference data are used in validation, testing and training sets to locate and analyze the estimated outcome of the created NN-LMA and its comparison with the corresponding reference solution. With mean squared error curves, error histogram analysis and a regression index, better performance is consistently demonstrated. Mu is a controller that controls the complete training process, and the NN-BLMS mainly concentrates on the higher precision of nonlinear systems.

The peculiar behavior of the appropriate physical parameters on nondimensional shapes is demonstrated and explored via sketches and tables. For escalating amounts of inclination angle and Brinkman number, a viable entropy profile is accomplished. The angular velocity curve grows as the rotation viscosity and surface condition factors rise. The dominance of friction-induced irreversibility is observed in the vicinity of the sheet, whereas in the farthest region, the situation is reversed with heat transfer playing a more significant role in causing irreversibilities.

To improve the efficiency of any thermodynamic system, it is essential to identify and track the sources of irreversible heat losses. Therefore, the authors analyze both flow phenomena and heat transport, with a particular focus on evaluating the generation of entropy within the system.

There has been a dramatic rise in the use of online food delivery apps (FDAs) services since the COVID-19 pandemic. Though online FDAs have contributed significantly to the rise in demand for products from the gourmet industry, little is known regarding the factors that inspire customers to order from online FDAs, subsequently influencing customers’ satisfaction. Considering the knowledge gap, this study utilizes the stimulus-organism-response (S-O-R) model to conceptualize the factors: stimuli (eWOM, online reviews and online deals as external stimuli, and late-night craving and convenience as internal stimuli) that determine the organism level (i.e. customers’ inspiration) to subsequently generate the response (i.e. customers’ satisfaction).

We collected the data from 388 users and analyzed it via partial least squares – structural equation modeling (PLS-SEM).

The results reveal that online reviews, deals, late-night food cravings and convenience positively determine customers’ inspiration and satisfaction. In contrast, eWOM fails to impact customers’ inspiration directly and indirectly, affecting customers’ satisfaction through inspiration. Besides, customers’ inspiration positively mediates the relationship between stimuli (e.g. online reviews, online deals, late-night cravings and convenience) and customers’ satisfaction.

This study is novel in that it explores the impact of internal (late-night craving and convenience) and external (eWOM, online reviews and online deals) stimuli on customer inspiration and subsequently predicts customer satisfaction. We also expand prior studies on food delivery apps by studying customer inspiration as a mediating mechanism between internal and external stimuli and customer satisfaction.