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This study aims to investigate numerically the impact of the three-dimensional convective nanoliquid flow on a rotating frame embedded in the non-Darcy porous medium in the presence of activation energy. The cross-diffusion effects, i.e. Soret and Dufour effects, and heat generation are included in the study. The convective heating condition is applied on the bounding surface.

The control model consisted of a system of partial differential equations (PDE) with boundary constraints. Using suitable similarity transformation, the PDE transformed into an ordinary differential equation and solved numerically by the Runge–Kutta–Fehlberg method. The obtained results of velocity, temperature and solute concentration characteristics plotted to show the impact of the pertinent parameters. The heat and mass transfer rate and skin friction are also calculated.

It is found that both Biot numbers enhance the heat and mass distribution inside the boundary layer region. The temperature increases by increasing the Dufour number, while concentration decreases by increasing the Dufour number. The heat transfer is increased up to 8.1% in the presence of activation energy parameter (E). But, mass transfer rate declines up to 16.6% in the presence of E.

The applications of combined Dufour and Soret effects are in separation of isotopes in mixture of gases, oil reservoirs and binary alloys solidification. The nanofluid with porous medium can be used in chemical engineering, heat exchangers and nuclear reactor.

This study is mainly useful for thermal sciences and chemical engineering.

The uniqueness in this research is the study of the impact of activation energy and cross-diffusion on rotating nanoliquid flow with heat generation and convective heating condition. The obtained results are unique and valuable, and it can be used in various fields of science and technology.

The purpose of this study is to solve two unique but difficult partial differential equations: the foam drainage equation and the nonlinear time-fractional fisher’s equation. Through our methods, we aim to provide accurate solutions and gain a deeper understanding of the intricate behaviors exhibited by these systems.

In this study, we use a dual technique that combines the Aboodh residual power series method and the Aboodh transform iteration method, both of which are combined with the Caputo operator.

We develop exact and efficient solutions by merging these unique methodologies. Our results, presented through illustrative figures and data, demonstrate the efficacy and versatility of the Aboodh methods in tackling such complex mathematical models.

Owing to their fractional derivatives and nonlinear behavior, these equations are crucial in modeling complex processes and confront analytical complications in various scientific and engineering contexts.

This paper investigates whether the introduction of the 2006 corporate governance code and subsequent amendments constrain corporate earnings management (EM) practices amongst listed companies in Saudi Arabia.

Accounting and corporate governance (CG) data were collected from annual financial reports of a sample of 108 listed companies from 2007 to 2019. Absolute value of discretionary accruals was regressed against tested CG determinants provided in the CG code. The authors also employed other econometric models to check potential endogeneities.

The overall results provide evidence that the 2006/2018 Saudi Arabia corporate governance code (SACGC) does not deter EM practices in public companies.

Regulators and other stakeholders should make a deliberate effort to improve the Saudi CG environment by focussing on governance aspects such as board and ownership structures to ensure the independence of the board to effectively perform its statutory roles, as EM practices persist in the system.

This paper extends the literature on the effectiveness of CG, by providing evidence that CG code does not effectively constrain EM activities in settings where CG structures may exist, but greater importance is attached to informal relationships and other considerations than formal CG mechanisms, as these features usually work against the potentials of the principles of good CG as in the case of Saudi Arabia.

Being an efficient mechanism for the value of money, public–private partnership (PPP) is one of the most prominent approaches for infrastructure construction. Hence, many controversies about the performance effectiveness of these delivery systems have been debated. This research aims to develop a novel performance management perspective by revealing the causal effect of key performance indicators (KPIs) on PPP infrastructures.

The literature review was used in this study to extract the PPPs KPIs. Experts’ judgment and interviews, as well as questionnaires, were designed to obtain data. Copula Bayesian network (CBN) has been selected to achieve the research purpose. CBN is one of the most potent tools in statistics for analyzing the causal relationship of different elements and considering their quantitive impact on each other. By utilizing this technique and using Python as one of the best programming languages, this research used machine learning methods, SHAP and XGBoost, to optimize the network.

The sensitivity analysis of the KPIs verified the causation importance in PPPs performance management. This study determined the causal structure of KPIs in PPP projects, assessed each indicator’s priority to performance, and found 7 of them as a critical cluster to optimize the network. These KPIs include innovation for financing, feasibility study, macro-environment impact, appropriate financing option, risk identification, allocation, sharing, and transfer, finance infrastructure, and compliance with the legal and regulatory framework.

Identifying the most scenic indicators helps the private sector to allocate the limited resources more rationally and concentrate on the most influential parts of the project. It also provides the KPIs’ critical cluster that should be controlled and monitored closely by PPP project managers. Additionally, the public sector can evaluate the performance of the private sector more accurately. Finally, this research provides a comprehensive causal insight into the PPPs’ performance management that can be used to develop management systems in future research.

For the first time, this research proposes a model to determine the causal structure of KPIs in PPPs and indicate the importance of this insight. The developed innovative model identifies the KPIs’ behavior and takes a non-linear approach based on CBN and machine learning methods while providing valuable information for construction and performance managers to allocate resources more efficiently.

The purpose of the study is to explore the three-dimensional heat and mass transport dynamics of the magneto-hydrodynamic non-Newtonian (Casson fluid) hybrid nanofluid flow comprised of − as nanoparticles suspended in base liquid water as it passes through a flexible spinning disc. The influence of a magnetic field, rotation parameter, porosity, Darcy−Forchheimer, Arrhenius’s activation energy, chemical reaction, Schmidt number and nanoparticle shape effects are substantial physical features of the investigation. Furthermore, the influence of hybrid nanofluid on Brownian motion and thermophoresis features has been represented using the Buongiorno model. The novelty of the work is intended to contribute to a better understanding of Casson non-Newtonian fluid boundary layer flow.

The governing mathematical equations that explain the flow and heat and mass transport phenomena for fluid domains include the Navier−Stokes equation, the thermal energy equation and the solutal concentration equations. The governing equations are expressed as partial differential equations, which are then converted into a suitable set of non-linear ordinary differential equations by using the necessary similarity variables. The ordinary differential equations are computed by combining the shooting operation with the three-stage Lobatto BVP4c technique.

Graphs and tables are used in the process of analysing the characteristics of velocity distributions, temperature profiles and solutal curves at varying values of the parameters, along with friction drag, heat transfer rate and Sherwood number. It has been revealed that the radial and axial velocities decrease when the Casson parameter value increases and that the rate of heat transmission is higher in hybrid nanofluids with nanoparticles in the shape of a blade. The increase in Brownian motion and thermophoresis parameters causes a rise in the temperature profile. Also, an increase in the activation energy parameter improves the solutal curve. The use of nanoparticles was shown to improve extrusion properties, the rotary heat process and biofuel generation.

All results are presented graphically and all physical quantities are computed and tabulated. The current results are compared to previous investigations and found to agree significantly with them.

Consistent with the board of directors and top executive management’s role in ensuring and promoting investments for economic development, this paper aims to examine Omani executive management’s role in helping goals achievement in firms. This paper examines the relationships among the study variables, which are top executive management characteristics and corporate performance in the context of Omani listed firms, with the help of two control variables.

The study focused on a unique context, a developing nation, Oman and its exchange market for the past seven years (2011-2017). In addition, the data were collected from annual report according to board of directors and top executive management variables, and the financial data were obtained from DataStream. The study used the panel data approach to test the relationships characteristics of board of directors, top executive management and corporate performance.

Based on the obtained results, showed positive and significant positive relationships between some characteristics of top executive management and corporate performance, and significant negative relationships between others and the same. Specifically, board size, non-executive directors, general experience and account experience were in the former category, while board meeting was in the latter category. Finally, size and professional certificate of top executive management did not have a significant relationship with corporate performance.

This study, like previous studies has some limitations such as sample, country, variables and years; therefore, at the end of this study, many limitations and suggestions for future research studies are provided. Moreover, the study findings can be used by the market to assist managers to enhance corporate weaknesses.

The focus of the study was placed on the top executive management and corporate governance of Omani listed firms that has implications for practitioners particularly concerning the top executive management role. Added to this, the study conducted an investigation of the integration between board of directors and top executive management, with corporate governance among Omani listed firms. The study also provided information that has implications to academics when it comes to board of directors and top executive management strategies to encourage consideration of the relationship to develop best practices.

Service quality is an established research area in the services marketing literature and is an integral component in an Islamic economy driven by halal service sectors. Despite its importance and the rapidly changing service environment, there has yet to be a comprehensive study of service quality research across halal industries. The purpose of this study is to systematically review the existing literature on service quality in halal industries to provide a state-of-the-art understanding and identify opportunities in this research area.

Guided by the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol and the theories, contexts, characteristics and methods (TCCM) framework, this paper reviews 78 journal articles from the Web of Science database which features service quality as an underpinning theory in the context of halal economies.

Findings indicate that since the first study in 2010, service quality research in halal industries has concentrated on consumers in the Islamic finance sector who are served primarily by human service agents. Most studies are focused on halal industries in Muslim countries. Several papers adopt the SERVQUAL model while others develop more novel service quality scales for halal industries. Culture, technology and faith-related factors are key drivers of halal service quality. While few papers study the antecedents and moderators of service quality in halal industries, religiosity was found to be a significant variable in several papers reviewed.

The global Islamic economy will continue to be driven by halal services. This review will provide managers with an appreciation of service quality across different halal industries. Researchers can use the results of this review to guide future studies and contribute toward the development of this research area.

To the best of the author’s knowledge, this paper is the first to comprehensively map the antecedents, dimensions, outcomes and moderators of service quality across halal industries and provides managers with a strategic understanding of service quality across the halal economy. This study develops a conceptual model and concludes with a research agenda to advance halal service quality research.

Analyzing and reducing entropy generation is useful for enhancing the thermodynamic performance of engineering systems. This study aims to explore how polymers and nanoparticles in the presence of Lorentz forces influence the fluid behavior and heat transfer characteristics to lessen energy loss and entropy generation.

The dispersion model is initially used to examine the behavior of polymer additives over a magnetized surface. The governing system of partial differential equations (PDEs) is subsequently reduced through the utilization of similarity transformation techniques. Entropy analysis is primarily performed through the implementation of numerical computations on a non-Newtonian polymeric FENE-P model.

The numerical simulations conducted in the presence of Lorentz forces provide significant insights into the consequences of adding polymers to the base fluid. The findings suggest that such an approach minimizes entropy in the flow region. Through the utilization of polymer-MHD (magnetohydrodynamic) interactions, it is feasible to reduce energy loss and improve the efficiency of the system.

This study’s primary motivation and novelty lie in examining the significance of polymer additives as agents that reduce entropy generation on a magnetic surface. The author looks at how nanofluids affect the development of entropy and the loss of irreversibility. To do this, the author uses the Lorentz force, the Soret effect and the Dufour effect to minimize entropy. The findings contribute to fluid mechanics and thermodynamics by providing valuable insights for engineering systems to increase energy efficiency and conserve resources.

This article presents a numerical study of the heat transfer properties of a nanofluid created using engine oil as the common fluid and Fe3O4 nanoparticles within a square cavity embedded with porous media using the LTNE model in the presence of a Cattaneo–Christov heat flux. To obtain the governing boundary layer equations, the Boussinesq approximation and Darcy model are employed.

By applying the Finite Element method, the modeling equations for dimensionless vorticity, stream function and temperature contours with conforming boundary and initial conditions are scrutinized.

One important finding is that streamlines create a core vortex that is oriented centrally and has longer thermal relaxation times. In contrast, solid state isotherms are hardly affected by growth in thermal relaxation parameter values when compared to fluid state isotherms.

The research work carried out in this work is original and no part is copied from others.

This study attempts to find the structural relationship between Total Quality Management (TQM) and Corporate Sustainability (CS) by analyzing the role of Innovation Capability (IC).

The authors conducted the study in the context of manufacturing industries in the Indian Micro Small and Medium Enterprises (MSME) sector. In the process, The authors attempt to throw light on the significance of TQM and IC in bringing out sustainable practices in organizations. The authors used Structural Equation Modeling with AMOS to study the relationship between TQM and CS.

The authors measured TQM through product control management, process control, vendor quality management and customer relationship improvement. We did find a direct relationship between TQM and CS, along with its three dimensions: environmental sustainability, economic sustainability and social sustainability. TQM was found to be antecedent to IC. IC, measured through product innovation, process innovation and managerial innovation, did not mediate the relation between TQM and CS. However, the link between TQM and social and environmental sustainability partially mediates through IC at the dimension level.

TQM can provide a holistic means of nurturing participation and satisfaction of stakeholders for achieving corporate sustainability and in the process, can create an innovative culture for stimulating a circular social economy.

This study fills the gap in the literature by providing a structural model that explains the relationship between TQM and corporate sustainability and highlights the role of innovation capability in achieving it.