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Hybrid learning has become a reality due to the onslaught of the COVID-19 pandemic. Students world over had to switch to this new learning format. This study aims to analyze the impact of innovation attributes of the Unified Theory of Acceptance and User Technology (UTAUT2) model and community of inquiry (COI) framework on the hybrid learning experience and the continued intention for it.

Using a cross-sectional research design, the study has adapted a scale from past studies and collected data using purposive sampling from the student community. The research has used the structural equation modeling technique using SMART-PLS to study the hypothesized relationships.

The study’s findings are that performance expectancy, effort expectancy, facilitating conditions, hedonic motivation, teaching presence, cognitive presence and social presence influence hybrid learning experience and continued intention. Further hybrid learning experience mediates the continued intention.

This study has several academic and practical implications for improving the hybrid learning experience. Various stakeholders can get insights on improving the user’s desire to pursue learning in a hybrid environment.

Hybrid learner experience is an upcoming area of research and yet unexplored in India as well as in other countries. A new hybrid experience model was developed by extending the UTAUT2 to include the COI framework and learner experience frameworks.

The study aims to examine the association between virtual communication effectiveness (VCE), leadership effectiveness (LE) and the role of emotional intelligence (EI) in the post-pandemic era.

A survey was conducted among 305 employees in the Indian IT sector using an online questionnaire. Data were analyzed using reliability, validity and moderated regression analysis.

The findings reveal that VCE is a significant predictor of LE. EI plays a significant moderating role between VCE and LE.

This study establishes the role of EI in pre-empting LE. Furthermore, it results in the advancement of improved tools for the selection, training and development of leadership talent. Research on virtual communication (VC) and EI enhances our understanding of effective leadership. To the best of the authors’ knowledge, the present research is one of the first to link and standardize various practices of VC, and EI to increase LE in the post-pandemic era.

Hybrid organizations offer an innovative approach to promote social impact. However, hybrids face the challenge of reconciling the dual mission (social/financial). The purpose is to understand how hybrids and information and communication technologies (ICT) interact, unveiling opportunities ICT offers for hybrids regarding the dual mission.

We used affordance theory and adopted a predominantly inductive approach inspired by the so-called “Gioia template.” The research design was based on semi-structured interviews with entrepreneurs, specialists, and people working in institutes, foundations, and accelerators, i.e. social actors operating in the hybrid organizational ecosystem in Brazil.

Our findings suggest that the affordances of the relationship between organizational and ICT resources act as facilitators. A theoretical contribution is conceptualizing “affordance of conciliation,” indicating how ICT resources might facilitate achieving social/financial goals, thus minimizing efforts to reconcile mission duality. Furthermore, we list categories and aggregate dimensions and elucidate how results aligned with goals are generated through the process-based model. We show that ICT has a significant role in helping hybrids overcome challenges.

Our results extend affordance theory with theoretical and practical implications. We highlight fundamental components that contribute to proposing the new concept of “affordance of conciliation.” We contribute to information systems literature by better understanding the social interactions between ICT and hybrids. Finally, we help hybrids understand the support of ICT resources to fulfill their dual mission.

Hybrid working is becoming commonplace, but scientific research on employee preferences for hybrid-working arrangements is still scarce. The current study investigated knowledge-worker preferences for hybrid-working scenarios, considering the relative importance of hybrid-working aspects and differences among knowledge workers associated with differences in preferences.

The study was conducted in a large governmental organization in the Netherlands. Attributes and levels for the choice-based experiment were developed in an iterative process involving several groups of stakeholders. A survey containing sociodemographic and work-related measures and a choice-based experiment was completed by 263 policy officers.

Conjoint analyses showed that the most important attribute was the “Distribution of days” (i.e. the percentage of time at home versus the office). Four employee segments were identified: home workers, hybrid fixed, hybrid flex and office workers, each with a different pattern of preferences. The segments differed on age/tenure, task interdependence, household composition (young children or not) and motives for coming to the office.

The study reveals that differences in preferences are associated with different combinations of demographic and work characteristics rather than one specific characteristic. Findings align with theories on work–life balance, (family) life-cycle stages and needs-supply fit.

Study findings support managerial decision-making on which hybrid-working scenario(s) to implement, considering the preferences of different groups of employees.

The study contributes to the literature on hybrid working and represents a novel application of conjoint analysis.

This paper aims to present a comprehensive overview of open-access publications by Indian non-profit organizations over the past two decades. The study explores the growth, licensing patterns, citations, authorship patterns and other parameters to understand the scholarly output.

The study involves data collection from OpenAlex scholarly catalog. Data analysis uses OpenRefine, a data carpentry tool, to examine and extract various aspects of scholarly output. A total of 89,149 scholarly outputs from 2004 to 2023 were analyzed using statistical and bibliometric methods.

The findings revealed a positive publication growth trend, with 57.74% open access. Gold OA dominates, with 69.61% of papers in 2023. Licensing patterns reveal that 63.75% of OA papers have licenses. Most papers have multiple authors, with 24.83% of over ten authors receiving 60.12% of citations. “Medknow” is the leading publisher, and “The Indian Journal of Ophthalmology” tops journals. Contributions from repositories like SSRN and PubMed are significant. The study also examines citation patterns across different OA types and identifies the top 30 research areas, emphasizing “Medicine” as the most prevalent.

The identified trends and patterns offer valuable insights for policymakers, researchers and organizations to enhance accessibility and impact. This study stresses sustained efforts for transparency and democratization of knowledge in the non-profit sector.

This study filled a gap in existing research by focusing on Indian non-profits, highlighting their roles and impacts often overlooked in scholarly literature. This study provides insights into the growth of open-access publications and their implications in the non-profit sector.

This study aims to explore entropy evaluation in the bi-directional flow of Casson hybrid nanofluids within a stagnated domain, a topic of significant importance for optimizing thermal systems. The aim is to investigate the behavior of unsteady, magnetized and laminar flow using a parametric model based on the thermo-physical properties of alumina and copper nanoparticles.

The research uses boundary layer approximations and the Keller-box method to solve the derived ordinary differential equations, ensuring numerical accuracy through convergence and stability analysis. A comparison benchmark has been used to authenticate the accuracy of the numerical outcomes.

Results indicate that increasing the Casson fluid parameter (ranging from 0.1 to 1.0) reduces velocity, the Bejan number decreases with higher bidirectional flow parameter (ranging from 0.1 to 0.9) and the Nusselt number increases with higher nanoparticle concentrations (ranging from 1% to 4%).

This study has limitations, including the assumption of laminar flow and the neglect of possible turbulent effects, which could be significant in practical applications.

The findings offer insights for optimizing thermal management systems, particularly in industries where precise control of heat transfer is crucial. The Keller-box simulation method proves to be effective in accurately predicting the behavior of such complex systems, and the entropy evaluation aids in assessing thermodynamic irreversibilities, which can enhance the efficiency of engineering designs.

These findings provide valuable insights into the thermal management of hybrid nanofluid systems, marking a novel contribution to the field.

The purpose of this study is to examine how fluid flow and heat transfer are affected by the influence of hybrid nanofluids flowing across a stagnation zone of a stretching curved surface. Stagnation point flow has garnered considerable attention over the past few decades. This is because many technical applications, such as the cooling of nuclear reactors and rotating equipment divisions, rely on stagnation-point flow.

A thorough analysis is conducted of the impacts of several regulating parameters on fluid flow and thermal performance, including the radiation parameter, heat source parameter, mixed convection parameter, porosity parameter curvature and nanoparticle concentration. The laws governing the field of flow equations are transformed by similarity substitutions into two nonlinear ordinary differential equations, which are then solved numerically using Maple. The MR-Solve technique in the built-in Maple package was used. The MR-Solve technique was used to numerically solve highly coupled ordinary differential equation problems. This approach produced highly precise and consistent results. It also provides the best performance while using a minimum amount of CPU and the shortest phrases.

The main conclusions of this study show that axial velocity drops, while radial velocity increases as the mixed convection parameter increases. The rate of heat transmission and skin friction is higher for hybrid nanoparticles with volume fraction percentile (0.01–0.03) than for those with volume fraction percentile (0.1–0.3).

Further research on this topic could examine a broader range of parameter values, suction/injection, entropy, mass equation, micropolar fluid, ternary hybrid nanofluid and Newtonian heating flow on a curved stretching surface.

By investigating a novel physical design that combines the various effect with stagnation flow, this study adds value and offers insights and prospective improvements in the discipline of heat fluid mechanics. Mathematical modeling or experimental studies in a variety of multiphysical contexts can be used to achieve this. Heat exchangers, crystalline procedures, microelectronic machines, systems for conserving energy, integrating operations, food manufacturing, climate control, purification and other engineering domains can all benefit from the geometric configurations investigated in this study. The results of this study greatly aid in optimizing thermal performance in a variety of application domains. This study is novel because it compares several volume fraction percentiles.

A stretching curved surface’s stagnation zone is traversed by hybrid nanofluids, offering insights into how curvature affects heat transfer and fluid flow efficiency. The results aid in the design and improvement of the energy transfer efficiencies for a range of commercial and biological purposes. The results offer possibilities for increased efficiency in a range of applications by developing hybrid nanofluid flow control methods and helping to create ideal thermal systems.

This study aims to explore the thermal energy diffusion and flow features of a hybrid nanofluid in a thin film. In particular, the focus is to elicit the impact of shape factor in the backdrop of a magnetic field. The hybrid nanofluid is the amalgamation of various shaped nanoscale particles of copper and alumina in water.

The equations of motion and energy are modeled using the Tiwari–Das model. The differential equations governing the physics of the designed model have been obtained by the application of scaling analysis. To achieve quantitative outcomes, Runge–Kutta–Fehlberg numerical code along with shooting techniques is used. Validation of the derived outcomes with available data in literature reveals a greater accuracy of the numerical procedure used in this investigation.

The dynamics of the slender nano liquid film is explored eliciting the impact of various flow parameters. The rate of energy transport of the Cu-Al₂O₃/ water with blade-shaped nanoparticle, at a fixed Prandtl number (=2) is enhanced by 14.7% compared to that evaluated with spherical particles. The presence of hybrid nanoparticles has an affirmative impact in boosting the rate of heat transfer (RHT). The temperature and the rate of thermal diffusion of the hybrid nanofluid are more prominent than those of the Cu-H₂O case. The numerical outcomes of this investigation are collated with the already published works as a limiting case and are found to be in good agreement.

The adopted methodology helped to obtain the results of the present problem. To the best of authors’ knowledge, it can be shown that the originality of the work with the table of comparison. There is a good agreement between present outcomes with the existed results.

This work focuses on optimizing and predicting the tenacity of twin-sheath single-core hybrid yarn. This study aims to predict and maximize yarn performance by investigating key factors influencing yarn tenacity.

Three critical parameters − ultra-high molecular weight polyethylene (HPPE) denier, stainless steel micron size and twist per meter − were considered for making multicomponent yarn and optimized using the Box-Behnken design (BBD), a response surface methodology variant. The hybrid yarn studied consists of a stainless-steel core, a polyester inner layer and an HPPE outer layer with opposite twists. The ASTM D2256 method was applied on Instron 3365 machine to measure yarn tenacity.

The optimized yarn setup involved 200 twists per meter, 400 Den HPPE and 45-micron stainless steel, resulting in a 127.5 cN/Tex tenacity. The quadratic model best fits the data, with R² values close to 1.00 (R² = 0.9935, adjusted R² = 0.9817, projected R² = 0.8956), a lower PRESS value of 445, a higher adequacy precision of 19.6816 and a higher TPC percentage of 35.23%. The analysis of variance results confirmed the model significance (F-value = 84.75, P-value < 0.0001), and the average relative error was found to be 3.43%, indicating predictive accuracy.

This study demonstrates the effectiveness of the BBD in optimizing hybrid yarn tenacity, providing valuable insights in terms of core yarn and outer sheath yarn linear density with twist per meter. The work presents a novel approach to hybrid yarn optimization and prediction, expanding the potential for further research and development in textile engineering.

This study aims to investigate the motivations behind the issuance of financial instruments with characteristics of equity (FICE), economic consequences associated with their issuance and accounting classifications based on a value-relevance approach.

Using a sample of 169 financial and nonfinancial firms from 10 jurisdictions that adopted International Financial Reporting Standards, the authors use a difference-in-differences econometric approach.

The findings reveal that FICE issuers are more leveraged companies with higher costs of equity and, in some cases, lower effective tax rates. This evidence corroborates the hypothesis that issuers of FICEs seek to increase their book values of equity (accounting treatment as equity) and, simultaneously, generate deductible expenses for tax purposes (tax treatment as liability).

This finding suggests that market participants do not treat these instruments as regular equity but rather as quasi-equity. The findings suggest that a binary classification of FICE as debt or equity may not be the accounting treatment that best represents the underlying economic substance of these contracts. Furthermore, this study reinforces the IASB indication regarding to increase the FICE disclosure to allow stakeholders to better understand the economic essence of these bonds.

This study assesses the economic outcomes and market evaluation of a specific type of FICE that has not been previously studied, which is similar to the examples provided by the IASB in their materials on the subject.