Impact of Information Parameters of Online Auto Dealership Website Towards Consumer Purchase Intention

Purpose: Information plays a significant role in the online business space where consumers perform information search before making the final purchase decision. Information is the source for the word of mouth marketing which becomes critical in achieving the marketing goals of the organization. The study aims to understand the role of information presented to the customers in determining the purchase intention.     Theoretical Framework: Consumers make their purchase decision in various stages and the role of information search plays a vital role in making the decision. Theory of planned behavior and theory of reasoned action are the base theories in studying consumer behavior. However the theories take into account the usage behavior  and present lesser relevance to the information presented. This study focus on the nature of the information based on the existing literature.   Methodology: The scale to measure the Purchase Intention based on the intention attributes weretaken from (Javier A. Sánchez Torres et al,2018).Data were analysed using the MS Excel and structural equation modelling is carried out using SmartPLS3. Purposive sampling was adopted and the respondents who have used at least one Online auto dealership website were considered for the study   Findings: Credibility of the information has a higher influence towards the Purchase intention among consumers. The second highest factor that influence the purchase intention of consumers is found to be the need for the information.   Research Implications: Affordable and ease of access towards internet has opened the path towards information overload through various mobile and social media applications. In this era. Online autodealership business owners have to create methods to emphasize on authenticity of the information presented in their website. The need analysis of the consumers based using the online tools and algorithms have to be improved to suggest the type of cars.   Originality/Value: The research is one among the few studies in understanding the information parameters for an online auto dealership website and it would play a vital role in designing the content and marketing campaigns

Assessing the Horizontal Homogeneity of the Atmospheric Boundary Layer (HHABL) Profile Using Different CFD Software

One of the main factors affecting the reliability of computational fluid dynamics (CFD) simulations for the urban environment is the Horizontal Homogeneity of the Atmospheric Boundary Layer (HHABL) profile—meaning the vertical profiles of the mean streamwise velocity, the turbulent kinetic energy, and dissipation rate are maintained throughout the streamwise direction of the computational domain. This paper investigates the preservation of the HHABL profile using three different commercial CFD codes—the ANSYS Fluent, the ANSYS CFD, and the Siemens STAR-CCM+ software. Three different cases were considered, identified by their different inlet conditions for the inlet velocity, turbulent kinetic energy, and dissipation rate profiles. Simulations were carried out using the RANS k-ε turbulence model. Slight variations in the eddy viscosity models, as well as in the wall boundary conditions, were identified in the different software, with the standard wall function with roughness being implemented in the Fluent applications, the scalable wall function with roughness in the CFX applications, and the blended wall function option in the STAR-CCM+ simulations. There was a slight difference in the meshing approach in the three different software, with a prism-layer option in the STAR-CCM+ software, which allowed a finer mesh near the wall/ground boundary. The results show all three software are able to preserve the horizontal homogeneity of the ABL—less than 0.5% difference between the software—indicating very similar degrees of accuracy

Heat Transfer in Surface-Cooled Objects Subject to Microwave Heating

Several investigators in microwave bioeffects research have exposed biological preparations to intense microwave fields, while at the same time cooling the sample with flowing water. We examine the heat transfer characteristics of this situation, to estimate the maximum temperature increase and thermal time constants that might be encountered in such an experiment. The sample is modeled as a uniform sphere, cylinder, or slab subject to uniform heating, which is located in an unbounded coolant flow. The heat transfer is determined by the Biot and Reynolds numbers (which reflect the geometry, fluid flow, and material thermal properties of the system) the temperature rise is governed by the heat conduction equation coupled with external convection. The results are expressed in terms of nondimensional quantities, from which the thermal response of a heated object of arbitrary size can be determined. At low coolant flow rates, the maximum temperature rise can be biologically significant, even for relatively small objects (of millimeter radius) exposed to moderate levels of microwave energy (with a SAR of ca. 100 mW/g). The results are valid also where the coolant is a gas or a liquid different from water, the only restriction being on the Reynolds number of the flow

Electrostatic Force Microscopy and Electrical Isolation of Etched Few-Layer Graphene Nano-Domains

Nanostructured bi-layer graphene samples formed through catalytic etching are investigated with electrostatic force microscopy. The measurements and supporting computations show a variation in the microscopy signal for different nano-domains that are indicative of changes in capacitive coupling related to their small sizes. Abrupt capacitance variations detected across etch tracks indicates that the nano-domains have strong electrical isolation between them. Comparison of the measurements to a resistor-capacitor model indicates that the resistance between two bi-layer graphene regions separated by an approximately 10 nm wide etch track is greater than about 1×1012 Ω with a corresponding gap resistivity greater than about 3×1014 Ω⋅nm . This extremely large gap resistivity suggests that catalytic etch tracks within few-layer graphene samples are sufficient for providing electrical isolation between separate nano-domains that could permit their use in constructing atomically thin nanogap electrodes, interconnects, and nanoribbons