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This paper aims to introduce an alternative for modeling levitation forces between NdFeB magnets and bulks of high-temperature superconductors (HTS). The presented approach should be evaluated through two different formulations and compared with experimental results.

The T-A and H-ϕ formulations are among the most efficient approaches for modeling superconducting materials. COMSOL Multiphysics was used to apply them to magnetic levitation models and predict the forces involved.The permanent magnet movement is modeled by combining moving meshes and magnetic field identity pairs in both 2D and 3D studies.

It is shown that it is possible to use the homogenization technique for the T-A formulation in 3D models combined with mixed formulation boundaries and moving meshes to simulate the whole device’s geometry.

The case studies are limited to the formulations’ implementation and a brief assessment regarding degrees of freedom. The intent is to make the simulation straightforward rather than establish a benchmark.

The H-ϕ formulation considers the HTS bulk domain as isotropic, whereas the T-A formulation homogenization approach treats it as anisotropic. The originality of the paper lies in contrasting these different modeling approaches while incorporating the external magnetic field movement by means of the Lagrangian–Eulerian method.

The public distribution system (PDS) is an Indian food security system established to manage the distribution of food grains at affordable prices. As a result of the population explosion, the long-established PDS system finds it challenging to maintain operational efficiency, quality, trust and transparency. This paper explores the possibility of leveraging blockchain technology to overcome these operational hurdles.

Through a literature review and expert interactions, the present research identifies critical success factors in terms of enablers and barriers that influence the adoption of blockchain technology in PDS. Furthermore, we propose two independent interpretive structural models (ISM) and MICMAC to characterize these attributes.

The research identifies 15 distinct enablers and ten barriers that influence the diffusion of the latest technology in the sector at focus. The analyses disclose the interrelationships/dependencies among these enablers and between barriers, along with their individual driving power and dependence power.

The research showcases the importance of automating the system and illustrates how the features of blockchain technology can assist in augmenting stakeholder satisfaction levels. However, poor or nonexistent government regulations and patronage are found to be the major impediments to adoption. The research also delineates the cost implications of this barrier through its interrelationships with other barriers.

Interesting inferences are drawn from the models that offer actionable insights for the industry, government and technologists for improving PDS performance. Such interventions will ensure national food security through enhanced trust and transparency, which can further improve efficiency and effectiveness.

Leveraging signalling theory and institutional environment theory, this study aims to examine how the entrepreneurial orientation of emerging market firms impacts initial public offering (IPO) performance.

The authors conduct regression analysis based on archival data from 312 firms’ IPOs in India.

The results in the Indian context suggest it differs from IPO performance in developed markets. In an emerging market context, the findings suggest that only competitive aggressiveness is valued by investors in IPOs. The findings further show that proactiveness and autonomy negatively influence IPO underpricing.

The research propositions imply that, owing to institutional voids in emerging markets, investors’ risk propensity and, hence, rewarding a firm’s entrepreneurial orientation differ from those in developed markets.

Extant literature has given limited attention to the dynamics of entrepreneurial orientation and the effect of each dimension of entrepreneurial orientation on IPO performance in emerging markets.

The purpose of this paper is to examine the hard and soft measures of service quality and visitors' satisfaction, which ultimately contribute to visitor loyalty to the destination, specifically in the context of the Borneo Cultural Festival (BCF) in Sibu, Sarawak (Malaysia).

The study uses a quantitative research approach with 427 valid responses from domestic and international tourists of BCF and employs the cognitive-affective-conative theory to examine how the festival impacts visitor loyalty.

The findings indicate that both hard and soft measures significantly contribute to the service quality and visitor satisfaction at the BCF. Additionally, service quality and visitor satisfaction were found to positively influence destination loyalty, while the relationship between legibility and visitor satisfaction was not significant.

The findings encourage the ministry and event organisers to adopt a destination event strategy that positions Sibu as an attractive event destination capable of attracting domestic and international tourists.

The findings of this study contribute to the existing body of knowledge on event tourism and destination loyalty by applying the cognitive-affective-conative theory. This study marks the first of its kind, analysing both the tangible (hard) and intangible (soft) measures of service quality and their impact on visitor satisfaction, ultimately influencing visitor loyalty to the destination, particularly in the context of the BCF in Sibu, Sarawak.