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This study introduces three variables related to brands that have the potential to enhance university students' advocacy intentions. The research explores how university brand identification, the perceived prestige of the university brand and the social benefits associated with the university brand impact students' advocacy intentions. Additionally, the study examines the moderating role of gender in these relationships.

Cross-sectional surveys of 326 undergraduate students enrolled in a Spanish university, and structural equation modeling was used to test and validate the conceptual model.

The findings from the structural equation modeling indicate that university brand identification, perceived university brand prestige and university brand social benefits significantly influence students' advocacy intentions. Furthermore, the multigroup analysis reveals a gender difference in the factors influencing advocacy intentions. Female students demonstrate significance in all three antecedents, whereas male students only show significance in university brand identification and perceived university brand prestige.

The current study's findings provide several insights for higher education institutions in developing enduring and committed relationships with their students.

This study offers relevant insights into the body of research on university branding, explaining the students' advocacy intentions through the variables of university brand identification, perceived university brand prestige and university brand social benefits. Also, this study is a novelty in introducing empirical evidence for the importance of the moderating role of students' gender.

This study aims to propose a service robot option to address shortages of human frontline employees (FLEs) in long-term care (LTC) service settings. With a field study, the authors investigate the effect of psychological comfort with robot reminders of LTC residents and human FLEs on acceptance and attentive engagement, ultimately resulting in effort and willingness to interact with the service robot. The outcomes provide valuable insights into human-robot interaction in the LTC sector.

The 45 residents and 49 human FLEs who participated in the field study completed a survey measuring various perceptual variables after deploying a service robot.

Both the residents’ sample and the FLE sample demonstrate that psychological comfort with robot reminders increases robot acceptance. This increased acceptance evokes greater attentive engagement, ultimately leading to a higher willingness to exert effort to interact with the service robots.

This study highlights service robots with well-received reminder functions and the ability to prompt efforts by both residents and employees during their implementation at LTC services. The findings suggest further research avenues for designing service robots that can be effectively integrated.

This study leverages a service robot in a field study involving LTC residents and human FLEs rather than hypothetical scenarios, which is rather limited in current studies. The findings are both timely and relevant, considering the gradual implementation of service robots into LTC services.

The purpose of this study was to examine the experiences of college-age mentors in a school-based mentoring (SBM) program with the aim of understanding mentor perceptions of “power.”

Seventeen mentors, comprising both undergraduate (9) and graduate (8) students, participated in this exploratory qualitative study. One-on-one semi-structured interviews and Focus Groups served as the primary methods of data collection. The modified Grounded Theory approach guided the data analysis process. Mentor narratives were scrutinized within the Indian context while also considering a global perspective.

Three major role execution styles emerged from examining mentor behavior: leadership, coaching and companionship. These charted the trajectory of equitability, revealing two major aspects of mentor perception: (1) within a tightly monitored and firmly structured program in a collectivist context, mentors believed they had the power to promote equitability in their dyads and (2) raising awareness about inequity is not sufficient to activate equitability, but additionally, an open mindset is essential for making conscious efforts to disrupt hierarchy.

The findings hold significant implications for higher education institutions and program creators in advocating school–college partnerships using SBM to promote equitable program structures and to develop a socially responsible next generation of leaders.

The study modestly fills critical gaps in the literature related to the understanding of power dynamics in mentoring relationships and understanding mentorship from mentors’ views. Future research could explore how college-age mentors perceive their own social capital.

This paper aims to explore the numerical simulation of MHD flow of Williamson hybrid nanofluid over a porous stretched sheet. Cattaneo–Christov thermal and specie fluxes were used in the model. Partial differential equations are exploit to model the underlying physics of the situation (PDEs).

Using an acceptable similarity functions, these equations were changed into total differential equations (ODEs). The spectral relaxation method (SRM) was used to solve the linked and nonlinear altered ODEs. The Gauss–Seidel procedure is used to figure out how to use Chebyshev pseudospectral techniques in SRM. This is an iterative process.

Increasing the heat relaxation flow increases temperature distributions; increasing the mass relaxation flux increases concentration distributions. A higher value of thermal radiation heat generation and Eckert number was noticed to improve temperature and velocity distributions. Due to the imposed electromagnetic force, a higher magnetic field is detected to cause an elevation in the velocity distribution. Also, a higher thermal radiation is observed to upsurge the velocity in company with temperature distributions.

This research benefits from biomedical engineering, biological sciences, astrophysics and geophysics. The rheological applications of Williamson fluid finds usefulness in biological sciences. The nanoparticles as considered in this study finds applications in the field of biomedical engineering. Also, the application of the imposed electromagnetic field and magnetic field strength is very useful in the area of astrophysics. A good agreement may be found in the literature on this study’s findings.

This study aims to analyze the spinning consistency index (SCI) and its impact on yarn quality. It focuses on the relationship between SCI and the final properties of 30 Ne carded hosiery yarn. By evaluating key quality parameters, the research seeks to determine how SCI can serve as a predictive tool for optimizing yarn production.

The study involved producing 30 Ne carded hosiery yarn and rigorously testing its properties using the Uster Evenness Tester-5. Various quality parameters, including neps content, mass irregularity, yarn imperfections and tensile behavior, were evaluated at each processing stage.

The findings reveal that Type 1 yarn demonstrated a count strength product value approximately 15% higher than the other two types. In addition, it exhibited a CVm% that was 18% lower, highlighting reduced mass variation and enhanced uniformity. Regarding imperfections, Type 1 yarn showed a 25% reduction compared to the other two types, reflecting improved fiber spinnability and overall yarn performance.

This research thoroughly examines SCI’s role in yarn production, highlighting its predictive value for optimizing yarn quality. The study offers valuable insights for textile manufacturers seeking to enhance the efficiency and effectiveness of their spinning processes, ultimately contributing to the development of higher-quality textile products.

Knowledge sharing (KS) helps employees learn from errors, but not much research has highlighted how sharing practices develop and take place in networked organizations. This study aims to explore how the professionals in a service triad develop and execute KS practices to learn from error.

A case study approach was adopted that focused on professionals working in a US-based company that was part of a health insurance service triad. The organization (“CaseCo”) processed the insurance claims filed by hospitals and doctors. The authors gathered qualitative data by conducting nine focus group discussions (FGDs) among CaseCo’s professionals. The FGDs involved a total of 51 professionals (17 women and 34 men) working in three centres of CaseCo in India.

The analyses revealed that error-related knowledge sharing (ERKS) practices emerge in a professional service triad (PST) through a culture of situated learning. They occur in ways that involves the use of repositories on the one hand, and connections between individuals on the other, both within and across the PST’s organizations. Such practices represent a dynamic system of knowledge stocks and flows in the PST.

To the best of authors’ knowledge, this is the first study that brings to the fore how ERKS practices develop and are executed in a professional organization in a triadic network structure.

This study aims to investigate the impact of client size, client risk, client profitability, client complexity, audit reporting lag, client loss, audit firm size, and industry type on determining external auditor fees pre- and during the COVID-19 pandemic on the non-financial companies (53 industrial companies and 41 service companies) listed at the Amman Stock Exchange (ASE) for the period of 2017–2021. The initial number of observations started with 470 observations. The results of the regression analysis for the pooled sample revealed a significant positive impact for the factors of client size, client complexity, and audit firm size on external audit fees. The same results were found for the other two sub-samples. However, client loss and industry type indicated a significant negative impact on external audit fees, except for the pre-COVID-19 pandemic period for the loss and the COVID-19 pandemic period for the audit firm size. Moreover, client risk, audit report lag, and client profitability have an insignificant impact on external audit fees for all three samples. Furthermore, the study recommends the following: Allocate adequate resources for auditing and consider the influence of company size on audit fees, adjust audit budgets based on profitability and the potential complexity of financial statements, and analyze and communicate the level of complexity to auditors, especially for companies operating in multiple industries or with intricate structures.

The growing prevalence of digitalisation in economies has brought attention to the significance of digital transformation and its potential to enhance the competitiveness of enterprises within the emerging market. Nevertheless, it is important to note that disruptive changes are not limited to the organisational level, as they also have broader implications for the environment, society and institutions. The incorporation of technology into the field of education, often known as educational technology (EdTech), has undergone a significant evolution in recent times, fundamentally transforming the methods and processes of teaching and learning. This chapter delves into the multifaceted landscape of digital transformation in the field of EdTech from the perspective of sustainable development, elucidating the wide range of opportunities and challenges that consumer, educators, institutions and technology providers and various stakeholders face when they embark on this journey. Further, this chapter also sheds light on how to overcome the challenges faced by the stakeholders in digital transformation of EdTech for quality education.

The boundary layer flow of immiscible fluids plays a crucial role across various industries, influencing advancements in industrial processes, environmental systems, healthcare and more. This study explores the thermally radiative boundary layer flow of a shear-driven Ree–Eyring fluid over a nanofluid. The investigation offers valuable insights into the intricate dynamics and heat transfer behavior that arise when a nanofluid, affected by thermal radiation, interacts with a non-Newtonian Ree–Eyring fluid. This analysis contributes to a deeper understanding of the complex interactions governing such systems, which is essential for enhancing efficiency and innovation in multiple applications.

The simulation investigates the convergence of boundary layers under varying shear strengths. A comparative analysis is conducted using γAl2O3 and Al₂O₃ nanoparticles, with water as the base fluid. The model’s numerical outcomes are derived using the bvp4c method through the application of appropriate similarity transformations. The resulting numerical data are then used to produce graphical representations, offering valuable insights into the influence of key parameters on flow behavior and patterns.

The temperature of the Al₂O₃ nanoparticles is always higher than the γAl2O3 nanoparticles, and hence, Al₂O₃ nanoparticles become more significant in the cooling process then γAl2O3 nanoparticles. It is also observed that the fluid velocity for both regions is enhanced by increasing values of the Ree–Eyring fluid parameter.

The results stated are original and new with the thermal radiative boundary layer flow of two immiscible Ree–Eyring fluid and Al₂O₃/γAl2O3 nanofluid.

Industry 5.0 (I5.0) is eventually set to supersede Industry 4.0 (I4.0), despite the fact that I4.0 continues to gain ground in emerging nations like India. Now India is aspiring to be a global manufacturing hub, and I5.0 offers enormous potential to position India as a forerunner in intelligent and collaborative manufacturing systems. Therefore, this research article aims to understand the relationship between I5.0 and sustainable manufacturing (SM) thoroughly; pinpoint its impact and implementation challenges; analyze its impact on Triple-Bottom-Line (TBL) sustainability; and present an inclusive framework for I5.0 implementation for Indian manufacturing enterprises.

The coexistence of two industrial revolutions raises questions, which necessitates debates and explanations. Thus, the systematic literature review (SLR) approach is used to address this issue and this study used Web of Science, Scopus, Science Direct and Google Scholar databases. Following a critical SLR, 82 research papers have been cited in this article, and the majority of cited articles were published from 2010 to 2022, to ensure a focused analysis of pertinent and recent scholarly contributions.

I4.0 is considered to be technology-driven, however, I5.0 is perceived to be value-driven. I5.0 is not a replacement or a chronological continuation of the I4.0 paradigm. The notion of I5.0 offers a distinct perspective and emphasizes the necessity of research on SM within the TBL sustainability boundaries. I5.0 introduces a new TBL: resilience in value creation, human well-being and sustainable society. Indeed, I5.0 seems to be economically, socially, and environmentally sustainable while manufacturing products with high productivity.

Theoretical implications pertain to restructuring business models and workforce transformation, whereas practical implications underscore the significance for manufacturing enterprises to embrace I5.0 for their sustainable development. By understanding the nuanced relationship between I5.0 and SM, enterprises can navigate implementation challenges, maximize TBL sustainability and embrace an inclusive I5.0 framework for high productivity and resilience.

The existing literature presents the general notion of I5.0 but lacks in-depth TBL sustainability analysis. This research used a systematic and rigorous SLR approach that evaluates the existing literature, enables an in-depth understanding, identifies research gaps and provides evidence-based recommendations for the decision-making process. Furthermore, this research aims to stand on an unbiased assessment, exploring theoretical and practical implications of I5.0 implementation for manufacturing enterprises and suggesting future research avenues.