Impact of intellectual capital on profitability : conventional versus Islamic banks

Intellectual capital has been found to have a significant association with profitability in the financial sector of various parts of the world. As a result, this study aims to empirically investigate the relationship between intellectual capital and financial performance of twentyseven private commercial banks for the year 2013 in Bangladesh. Annual reports for the relevant year of the selected banks have been used to gather secondary information for the empirical models based on Pulic’s VAIC model. Stepwise regression was performed for the full sample, conventional and Islamic banks separately. The analysis indicates that both VIAC and its components have a significant association with profitability. Results for conventional and Islamic banks established different components of VIAC as a significant predictor of bank’s profitability. A future study including all financial institutions could provide a better estimate of the impact of intellectual capital on profitability for the finance sector.peer-reviewe

Critical Assessment of Hybrid RANS-LES Modeling for Attached and Separated Flows

The objective of this study is to evaluate a recently proposed dynamic hybrid Reynolds-averaged Navier-Stokes (RANS)-Large Eddy Simulation (LES) modeling framework that seeks to effectively address issues regarding RANS-to-LES transition and explicit grid dependence inherent in most current hybrid RANS-LES (HRL) models. RANS-to-LES transition in the investigated dynamic HRL (DHRL) model is based on the physical concept of maintaining continuity of total turbulence production using two rigorously separated turbulent stress parameters, where one is obtained from the RANS model and the other from the LES model. Computations of two canonical test cases—two-dimensional turbulent channel flow and backward facing step flow—were performed to assess the potential of the DHRL model for predicting both attached and separated turbulent flows. This investigation attempts to evaluate the ability of the DHRL method to reproduce the detailed physics of attached and separated turbulent flows, as well as to resolve the issues concerning log-layer mismatch and delayed break down of separated shear layers. The DHRL model simulation results are compared with experimental and DNS data, along with the computational results for other HRL and RANS models. In summary, these comparisons demonstrate that the DHRL framework does address many of the weaknesses inherent in most current HRL models

Localized Surface Plasmon Resonance Property of Ag-Nanoparticles and Prospects as Imminent Multi-Functional Colorant

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A dynamic hybrid RANS/LES modeling methodology for turbulent/transitional flow field prediction

A dynamic hybrid Reynolds-averaged Navier-Stokes (RANS)-Large Eddy Simulation (LES) modeling framework has been investigated and further developed to improve the Computational Fluid Dynamics (CFD) prediction of turbulent flow features along with laminar-to-turbulent transitional phenomena. In recent years, the use of hybrid RANS/LES (HRL) models has become more common in CFD simulations, since HRL models offer more accuracy than RANS in regions of flow separation at a reduced cost relative to LES in attached boundary layers. The first part of this research includes evaluation and validation of a dynamic HRL (DHRL) model that aims to address issues regarding the RANS-to-LES zonal transition and explicit grid dependence, both of which are inherent to most current HRL models. Simulations of two test cases—flow over a backward facing step and flow over a wing with leading-edge ice accretion—were performed to assess the potential of the DHRL model for predicting turbulent features involved in mainly unsteady separated flow. The DHRL simulation results are compared with experimental data, along with the computational results for other HRL and RANS models. In summary, these comparisons demonstrate that the DHRL framework does address many of the weaknesses inherent in most current HRL models. Although HRL models are widely used in turbulent flow simulations, they have limitations for transitional flow predictions. Most HRL models include a fully turbulent RANS component for attached boundary layer regions. The small number of HRL models that do include transition-sensitive RANS models have issues related to the RANS model itself and to the zonal transition between RANS and LES. In order to address those issues, a new transition-sensitive HRL modeling methodology has been developed that includes the DHRL methodology and a physics-based transition-sensitive RANS model. The feasibility of the transition-sensitive dynamic HRL (TDHRL) model has been investigated by performing numerical simulations of the flows over a circular cylinder and a PAK-B airfoil. Comparisons with experimental data along with computational results from other HRL and RANS models illustrate the potential of TDHRL model for accurately capturing the physics of complex transitional flow phenomena

Tax Compliance in Bangladesh – A Structural Equation Modelling Approach

Tax compliance behavior has been researched at different times in various parts of the world using various theories. This research has focused on the psychological aspects of tax compliance behavior by applying the theory of planned behavior (TPB) proposed by Ajzen. 300 taxpayers were studied using a questionnaire based on Likert scale, and the results were analyzed using structural equation modelling. Results found from SEM approach indicate that subjective norm has a significant influence on tax compliance behavior while intention mediates it and moderated by religion. Attitude and perceived behavioral control were found to have a significant influence on intention. Individual taxpayers are selected from the capital, and thus findings derived from the sample might not be generalizable for all individual taxpayers in Bangladesh. The results of this study might provide some insight to the tax non-compliance problem in Bangladesh and help authorities to design strategies to motivate taxpayers to comply with existing fiscal policies. Tax compliance issues have been explored from various perspectives in Bangladesh. Lack of significant influence on subjective norm toward taxpayer intention indicates that social and peer is yet to make a substantial contribution to improving tax compliance. This study has introduced structural equation modelling technique to explore the moderating influence of religion on individual taxpayers in the context of Bangladesh. &nbsp