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This study aims to present the consequences of activation energy and the chemical reactions on the unsteady MHD squeezing flow of an incompressible ternary hybrid nanofluid (THN) comprising magnetite (FE₃O₄), multiwalled carbon nano-tubes (MWCNT) and copper (Cu) along with water (H2O) as the base fluid. This investigation is performed within the framework of two moving parallel plates under the influence of magnetic field and viscous dissipation.

Due to the complementary benefits of nanoparticles, THN is used to augment the heat transmit fluid’s efficacy. The flow situation is expressed as a system of dimensionless, nonlinear partial differential equations, which are reduced to a set of nonlinear ordinary differential equations (ODEs) by suitable similarity substitutions. These transformed ODEs are then solved through a semianalytical technique called differential transform method (DTM). The effects of several changing physical parameters on the flow, temperature, concentration and the substantial measures of interest have been deliberated through graphs. This study verifies the reliability of the results by performing a comparison analysis with prior researches.

The enhanced activation energy results in improved concentration distribution and declined Sherwood number. Enhancement in chemical reaction parameter causes disparities in concentration of the ternary nanofluid. When the Hartmann number is zero, value of skin friction is high, but Nusselt and Sherwood numbers values are small. Rising nanoparticles concentrations correspond to a boost in overall thermal conductivity, causing reduced temperature profile.

Due to its firm and simple nature, its implications are in various fields like chemical industry and medical industry for designing practical problems into mathematical models and experimental analysis.

Deployment of the squeezed flow of ternary nanofluid with activation energy has significant consideration in nuclear reactors, vehicles, manufacturing facilities and engineering environments.

This study would be contributing significantly in the field of medical technology for treating cancer through hyperthermia treatment, and in industrial processes like water desalination and purification.

In this problem, a semianalytical approach called DTM is adopted to explore the consequences of activation energy and chemical reactions on the squeezing flow of ternary nanofluid.

The closure of schools and nurseries during the COVID-19 lockdowns triggered the re-insourcing of childcare to the home, sparking extensive public debate and academic research on the pandemic's potential impact on gender equality (see, for example, Burgess and Goldman, 2021; Vandecasteele et al. 2022). My PhD research, which explores parents' decision-making influences when planning care during their child's first year in the UK context, coincided with COVID-19. The coinciding of my data collection with COVID-19 (seven online discussions with a total of 36 participants and 12 follow up interviews, 10 which include partners) created microcosms in which wider public debates were echoed. My research draws on the Capability Approach (CA) (Sen, 2009) to conceptualise parents' capabilities to share leave as they aspire to and employs dialogical narrative analysis (DNA) (Riessman, 2008) to explore how gendered parenting norms are constitutive of parents’ care capabilities. In this chapter, I draw on feminist ethics of care to explore the disruption of gendered parenting norms, in the COVID-19 context, within parents' decision-making and a possible ‘reimagining’ of the value attributed to care (Ozkazanc-Pan and Pullen, 2021; Tronto, 2017). My findings support anticipation of what the promise of greater flexibility could bring as a result of increased visibility of caregiving during COVID-19. However, I also find evidence which supports the caution previously recommended of the need to reflect on work cultures and the predominance of masculine ideal worker norms in the UK (Chung et al. 2021).

This study aims to investigate the heat and mass transfer characteristics of a temperature-sensitive ternary nanofluid in a porous medium with magnetic field and the Soret–Dufour effect through a tapered asymmetric channel. The ternary nanofluid consists of Boron Nitride Nanotubes (BNNT), silver (Ag) and copper (Cu) nanoparticles, with a focus on understanding the thermal behaviour and performance across mono, hybrid and tri-hybrid nanofluids. This paper also examines the thermal behaviour of MHD oscillatory nanofluid flow and carries out an uncertainty analysis of the model using the Taguchi method.

The governing equations for this system are transformed into coupled linear partial differential equations using non-similarity transformations and solved numerically with the Crank–Nicolson scheme. The impact of temperature sensitivity at three distinct temperatures (5°C, 20°C and 60°C) is incorporated to analyse variations in viscosity and Prandtl number. The study also examines the combined effects of Soret–Dufour numbers and thermal radiation on heat and mass transfer within the nanofluid.

The results demonstrate that the inclusion of BNNT, Ag and Cu nanoparticles significantly enhances heat and mass transfer rate, with copper nanoparticles showing superior performance in terms of skin friction and heat transfer rates. The Soret and Dufour effects play critical roles in modulating heat and mass diffusion within tri-hybrid nanofluids. The study reveals that temperature sensitivity alters heat and mass transfer characteristics depending on the temperature range, with pronounced variations at elevated temperatures. The influence of thermal radiation and the Peclet number is found to significantly impact temperature distribution and overall heat transfer performance within the asymmetric channel.

To the best of the authors’ knowledge, this study is the first to analyse the heat and mass diffusion in a ternary nanofluid composed of BNNT, Ag and Cu nanoparticles, considering porous media, oscillatory flow and thermal radiation within a tapered asymmetric channel. The research extends to a novel examination of temperature sensitivity in mono, hybrid and tri-hybrid nanofluids at varying temperature gradients. Furthermore, a comparative analysis of skin friction and heat transfer rates between copper, alumina and ferro composites is presented for optimising the nanofluid performance.

Due to its ability to support well-informed decision-making, business intelligence (BI) has grown in popularity among executives across a range of industries. However, given the volume of data collected in health-care organizations, there is a lack of exploration concerning its implementation. Consequently, this research paper aims to investigate the key factors affecting the acceptance and use of BI in healthcare organizations.

Leveraging the theoretical lens of the “unified theory of acceptance and use of technology” (UTAUT), a study framework was proposed and integrated with three context-related factors, including “rational decision-making culture” (RDC), “perceived threat to professional autonomy” (PTA) and “medical–legal risk” (MLR). The variables in the study framework were categorized as follows: information systems (IS) perspective; organizational perspective; and user perspective. In Jordan, 434 healthcare professionals participated in a cross-sectional online survey that was used to collect data.

The findings of the “structural equation modeling” revealed that professionals’ behavioral intentions toward using BI systems were significantly affected by performance expectancy, social influence, facilitating conditions, MLR, RDC and PTA. Also, an insignificant effect of PTA on PE was found based on the results of statistical analysis. These variables explained 68% of the variance (R²) in the individuals’ intentions to use BI-based health-care systems.

To promote the acceptance and use of BI technology in health-care settings, developers, designers, service providers and decision-makers will find this study to have a number of practical implications. Additionally, it will support the development of effective strategies and BI-based health-care systems based on these study results, attracting the interest of many users.

To the best of the author’s knowledge, this is one of the first studies that integrates the UTAUT model with three contextual factors (RDC, PTA and MLR) in addition to examining the suggested framework in a developing nation (Jordan). This study is one of the few in which the users’ acceptance behavior of BI systems was investigated in a health-care setting. More specifically, to the best of the author’s knowledge, this is the first study that reveals the critical antecedents of individuals’ intention to accept BI for health-care purposes in the Jordanian context.

This study aims to examine the predictors of the managers’ work performance under the risk-as-feelings hypothesis during the Covid-19 pandemic in four European countries. Specifically, it aims to investigate the impact of risk-related job stressors and behavioral and emotional reactivities on non-managers and managers performance in risky circumstances.

The author assessed simultaneously the effects of occupational health risk perception and the resulting feelings and emotional state such irritability and commitment change, the effects of income and others organizational and personal variables as performance stressors. The author used a sample of 652 employees divided on two groups (71% non-managers and 23% managers). Data are obtained from the dataset in Prochazka et al., (2020) collected using online survey delivered to employees employed in their companies for a minimum of five months in the period between Mai and June 2020.

The results confirm the risk-as-feelings hypothesis and show significant effect of occupational health risk perception and associated emotional responses (irritability and commitment) on the work performance for non-managers’ group. However, for managers’ group the main determinant of work performance is the organizational commitment as explained by the job-demands-resources-model (JDRM).

The originality of this study is to employ the risk-as-feelings hypothesis (Loewenstein et al., 2001) in a management research question such as job performance predictors. Thus, this study contributes to the literature on job performance in two significant ways. First, it examines the risk-related job’s stressors as determinants of managers and non-managers performance under the risk-as-feelings hypothesis. Second, it tests the importance of functional differences as an approach to better investigate the framework of the JDRM (Bakker and Demerouti, 2017).

Among the major industries in Costa Rica, agriculture has contributed significantly to the country's economy. Felipe Vargas established ‘Varcli Pinares’ 11 years ago to produce good quality bananas through sustainable operations of natural systems. This case study explores the complex dynamics surrounding the Varcli Pinares agricultural farming, aiming to shed light on its multifaceted nature and provide insights into its outcomes. The company invests in circular economy by executing decarbonisation through capture of CO₂ wastes and protection of forests. The business pioneered in reducing water consumption and implementing solar energy usage in banana production through innovative tools and technologies while engaging in no-herbicide practices. The unique, sustainable packaging created through waste makes a visual impact and guides customers to online platforms. The company adheres to sustainable practices while impacting the community positively. However, as a small business maintaining sustainable practices throughout the entire supply chain and competing with big companies is difficult for Varcli Pinares. Nevertheless, the company believes its simplicity and adaptability will help it thrive in the competitive industry. Through a rigorous and systematic approach, the case study aims to contribute to the existing body of knowledge in sustainable agricultural farming and provide valuable insights for practitioners and stakeholders alike.