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The electrohydrodynamic (EHD) dispersion of atmospheric aerosols consisting of a couple stress fluid through a vertical channel, when the walls are held at different temperatures is studied by using Taylor dispersion model. Analytical solutions for the nonlinear coupled equations are obtained using a regular perturbation technique (RPT) with buoyancy number, N(<<1) as the perturbation parameter. The effect of electric field and couple stress parameter on velocity, temperature and dispersion of aerosols are numerically computed and the results are represented graphically.

Marketers' sustainability is highly dependent on providing their customers with a memorable experience. This experience manifests the care taken by marketers while interacting at every stage of customer's journey from need recognition to post-purchase behaviour. Customer experience's (CX) significance demands that it be measured succinctly to monitor it at various levels, beginning at the customer level and extending to the financial outcome of this interaction(s). This study has attempted to conduct the same, by measuring Net Promoter Score of the customers and the financial ramifications of good/bad CX. Evidence of financial implications of good/bad CX has been presented through secondary research. Customer level study was empirically conducted at two well-known retailers of India, one in the footwear category and the other in general merchandise. Finally, some successful examples from the Indian retail sector have been added to highlight the significance and impact of Indian retailers' measures to enhance their customers' experience.

The model, presented here, is developed to study the axial dispersion and distribution of oil particle concentration in the presence of coriolis force of oil spilled under solid ice cover. The movement of oil slick is obtained by employing perturbation technique and the dispersion of oil is studied using generalized dispersion model proposed by Gill (1967). The mean concentration is computed by introducing a slug of finite length separated from pure solvent using suitable impermeable barriers by varying the dimensionless time, axial distance and length of solute slug. The results obtained are discussed in detail with the help of graphs and tables.

The effect of magnetic field on unsteady convective diffusion in a couple stress fluid (blood) is studied using a time dependent dispersion model. This model is used to calculate the mean concentration distribution of a solute, bounded by the porous layer and is expressed as a function of dimensionless axial distance and time. The magnetic field, arising as a body couple in the governing equations is shown to increase the axis dispersion coefficient. This is useful to the control of haemolysis caused by artificial organs implanted or extracorporeal. Dispersion coefficient and mean concentration are computed for different values of Hartmann number (M), Couple Stress Parameter (a) and Porous Parameter (σ).

To address the grand challenge of refugee workforce integration, a multistakeholder approach which incorporates contributions from governmental organizations, nongovernmental organizations, media, educational institutions, researchers, and the corporate sector, is vital. This chapter provides an overarching understanding of how various stakeholders influence refugee integration and how they can assist employers in promoting the cause.

Implementing artificial intelligence (AI) in healthcare organizations involves the entire organization. This groundbreaking technology is becoming central to achieve the goals of the new healthcare through the ongoing commitment to sustainability despite the severe lack of resources. Decision-makers in healthcare need knowledge and skills to prepare for the changes in many professional activities in the years ahead. Furthermore, chief medical officers and clinical leaders need to act on the opportunities that AI can bring, starting from its integration into the reality of healthcare settings while working with those responsible for managing and implementing AI in compliance with current legislation in Europe and the United States. Finally, stakeholders need to know how to leverage AI capabilities and how to recognize its limitations and its opportunities in administrative applications (admin AI) to optimize day-to-day operations and clinical applications (non-admin AI). In this view, clinical leaders and health care decision-makers may appreciate AI as a new way to provide sustainable social and healthcare services.

This study aims to conduct a rigorous bibliometric analysis of impulse buying research trends and patterns, map the conceptual landscape of the field, identify significant themes and propose a roadmap for future studies in this domain.

This study used Snyder’s (2019) four-step systematic review approach. By using a specific search string, articles from the past 21 years (2003–2023) were retrieved from the Scopus and Web of Science databases. Performance analysis and science mapping were conducted using Biblioshiny to analyze the field’s knowledge base.

The volume and influence of impulse buying research have surged over the past two decades. The factorial analysis identified three main sub-themes within the impulse buying literature. In addition, Bradford’s law confirmed that the top five journals account for a significant portion of the relevant research. Despite the increased publications, author productivity diverges from Lotka’s law, indicating a few influential authors. This study provides a detailed conceptual map of the research landscape and proposes targeted future research questions by highlighting untapped opportunities.

This study offers insights for refining marketing strategies and highlights the importance of ethical considerations in marketing, especially during crises. It also strengthens the theoretical foundation of impulse buying by mapping core themes and identifying unexplored areas.

This study introduces an innovative approach by using factorial analysis with the multiple correspondence analysis technique to develop a detailed conceptual structure map of impulse buying research. It applies bibliometric laws such as Bradford’s law and Lotka’s law to explain the dispersion of research articles. By identifying core themes, this study charts a roadmap for future inquiry, addressing significant gaps and uncovering new research directions.