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This study aims to explore the antecedents related to luxury brand loyalty in the Indian Gen Z consumer segment. It obtains the connection between luxury brand attachment, luxury brand trust and luxury brand loyalty. The study also envisages how luxury brand trust plays a mediation role in strengthening the relationship between luxury brand attachment and luxury brand loyalty in the Indian Gen Z consumer segment.

The empirical investigation is based on the Indian Gen Z consumer segment. Data was acquired with the help of a structured questionnaire, following convenience and snowball sampling techniques. A total of 230 primary responses was used for the statistical analysis of the present research. The analysis was carried out with the help of SmartPLS software to validate a proposed model and corresponding hypotheses.

The research findings demonstrate that two major branding outcomes support luxury brand loyalty behavior in the Indian Gen Z consumer segment: luxury brand attachment and luxury brand trust. Corporate social responsibility (CSR) attributes and sustainability attributes, luxury product attributes, luxury brand attributes and social media attributes positively influence luxury brand attachment in the Indian Gen Z consumer segment. CSR attributes and sustainability attributes have negligible contribution toward positively influencing luxury brand trust towards the same. However, when luxury brand trust is combined with luxury brand attachment, then luxury brand trust plays a significant role in enhancing luxury brand loyalty among the Indian Gen Z consumer segment. Then, luxury brand attributes, product attributes and social media attribute positively impact luxury brand trust in the Indian Gen Z consumer segment. The study also identifies that luxury brand trust plays a significant mediation role in consolidating the relationship between attachment and loyalty.

The proposed model in the research is an integrated framework comprising maximum potential variables that can positively influence luxury brand loyalty in the Indian Gen Z consumer segment. The analysis in the research shows the mediation role of luxury brand trust between luxury brand attachment and luxury brand loyalty in the Indian Gen Z consumer segment. This study has also identified the vital role of luxury brands’ CSR attributes and sustainability attributes to support luxury brand loyalty.

The purpose of this study is to perform a detailed review on the numerical modeling of multiphase and multicomponent flows in microfluidic system using phase-field method. The phase-field method is of emerging importance in numerical computation of transport phenomena involving multiple phases and/or components. This method is not only used to model interfacial phenomena typical to multiphase flows encountered in engineering and nature but also turns out to be a promising tool in modeling the dynamics of complex fluid-fluid interfaces encountered in physiological systems such as dynamics of vesicles and red blood cells). Intrinsically, a priori unknown topological evolution of interfaces offers to be the most concerning challenge toward accurate modeling of moving boundary problems. However, the numerical difficulties can be tackled simultaneously with numerical convenience and thermodynamic rigor in the paradigm of the phase field method.

The phase-field method replaces the macroscopically sharp interfaces separating the fluids by a diffuse transition layer where the interfacial forces are smoothly distributed. As against the moving mesh methods (Lagrangian) for the explicit tracking of interfaces, the phase-field method implicitly captures the same through the evolution of a phase-field function (Eulerian). In contrast to the deployment of an artificially smoothing function for the interface as used in the volume of a fluid or level set method, however, the phase-field method uses mixing free energy for describing the interface. This needs the consideration of an additional equation for an order parameter. The dynamic evolution of the system (equation for order parameter) can be described by Allen–Cahn or Cahn–Hilliard formulation, which couples with the Navier–Stokes equation with the aid of a forcing function that depends on the chemical potential and the gradient of the order parameter.

In this review, first, the authors discuss the broad motivation and the fundamental theoretical foundation associated with phase-field modeling from the perspective of computational microfluidics. They subsequently pinpoint the outstanding numerical challenges, including estimations of the model-free parameters. They outline some numerical examples, including electrohydrodynamic flows, to demonstrate the efficacy of the method. Finally, they pinpoint various emerging issues and futuristic perspectives connecting the phase-field method and computational microfluidics.

This paper gives unique perspectives to future directions of research on this topic.