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The paper explores the notion of worker voice in terms of its implications for supply chain justice. The paper proposes the value of the recognition perspective on social justice for framing workers’ experiences in global supply chains and identifies opportunities for the advancement of the worker voice agenda with recognition justice in mind.

The paper adopts a conceptual approach to explore the notion of worker voice in supply chains in terms of the recognition perspective on social justice.

Sustainable supply chain management (SSCM) scholarship has considered worker voice in terms of two key paradigms, which we term communication and representation. To address recognition justice for workers in global supply chains, the worker voice agenda must consider designing worker voice mechanisms to close recognition gaps for workers with marginalised identities; the shared responsibilities of supply chain actors to listen alongside the expectation of workers to use their voice; and the expansion of the concept of worker voice to cut across home-work boundaries.

The paper offers conceptual clarity on the emerging notion of worker voice in SSCM and is the first to interrogate the implications of recognition justice for the emergent worker voice agenda. It articulates key opportunities for future research to further operationalise worker voice upon a recognition foundation.

The purpose of this study is to conduct a comprehensive review of ChatGPT in the education sector. By delving into the published literature, the research aims to uncover the benefits, drawbacks, present applications and prospective uses of ChatGPT for various stakeholders.

The research employs quantitative methodologies. Utilizing the Scopus database, the authors applied the Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework to gather data. Additionally, the study includes a bibliometric analysis conducted through the VOSviewer visualization tool and R Studio to achieve the research objectives.

ChatGPT is making a transformative impact on the education sector. A thorough literature review revealed that ChatGPT has several benefits and drawbacks for students and educators. Additionally, the study sheds light on present applications of ChatGPT and explores its prospective uses for its key stakeholders.

PRISMA methodology in systematic reviews faces challenges in handling publication bias and evaluating study quality. Systematic reviews are limited by their inability to comprehensively cover all relevant research and depend on the quality of included studies. Bibliometric analyses may oversimplify research landscapes, neglecting qualitative insights. The research relies on existing literature, introducing potential biases due to varied accessibility. The study’s focus on the Scopus database and time constraints may exclude recent significant studies.

The study has several recommendations for educational institutions, students, educators, administrative staff and ChatGPT service providers. These recommendations collectively aim to provide comprehensive guidance to stakeholders, fostering an environment where ChatGPT can effectively transform the education sector.

This research conducts a comprehensive examination of ChatGPT in the education sector, with a primary emphasis on exploring its prospective uses for students, educators and administrative staff. By highlighting the potential benefits, the study aims to provide key stakeholders with opportunities to leverage ChatGPT for the transformation of the education sector.

The purpose of this study is to investigate the accuracy and creativeness of ChatGPT in the domain of quantitative aptitude.

ChatGPT 3.5 is used to generate multiple-choice quantitative aptitude questions. A total of 1,100 questions were created across 11 different areas of quantitative aptitude. A dataset is obtained through ChatGPT prompts. Human specialists assessed the accuracy and creativity of these questions. Every question is evaluated and classified into six distinct grades to indicate its level of accuracy. Likewise, the procedure of assessing each question includes providing a grade that showcases originality. Subsequently, we generate hypotheses to evaluate the accuracy and creativity of ChatGPT’s response. The hypotheses are evaluated through the application of statistical methods, such as the one-tailed test.

Our study indicates that ChatGPT exhibits a moderate degree of accuracy when solving mathematical aptitude questions. Our work shows that, for instance, when prompted to generate 10 questions regarding a specific quantitative aptitude topic, ChatGPT is unlikely to produce more than five questions that are accurate in terms of solution and explanation, and it seldom generates more than three new questions. This study also compares the accuracy of ChatGPT in answering questions related to quantitative aptitude with that of questions related to medical science. This study illustrates that ChatGPT is less precise in its responses to quantitative aptitude questions than it is in medical science questions. However, including it as a tool for producing a wide range of quantitative aptitude questions poses a significant problem in terms of creativeness.

The study is focused on a topic set that encompasses approximately 50% of the topics studied within the realm of quantitative aptitudes. In addition, the inclusion of human experience in verifying the correctness of ChatGPT may potentially undermine the study’s accuracy.

Our study shows that ChatGPT demonstrates poor originality and quantitative correctness, thereby limiting its teaching value. This is particularly worrying for students, as ChatGPT does not assist in assessing an answer, making human verification necessary.

Our research will be valuable for individuals residing in countries such as India who are actively preparing for competitive examinations to secure employment in diverse government and private enterprises and are utilising the ChatGPT platform for this purpose.

The purpose of this study was to determine whether cognitive factors mediate the relationship between parental knowledge/support and delinquency escalation.

Using data from early adolescent youth enrolled in the Gang Resistance Education and Training (GREAT) study, two analyses were performed. The first analysis cross-lagged parental knowledge and cognitive impulsivity as predictors of delinquency escalation and the second analysis cross-lagged parental support and moral neutralization as predictors of delinquency escalation.

In both analyses, the indirect effect of a change in parenting on delinquency escalation via a change in cognition attained significance, whereas the indirect effect of a change in cognition on delinquency escalation via a change in parenting did not. In neither case did the direct effect of parenting on delinquency achieve significance.

This study was limited, however, by exclusive reliance on self-report measures to assess all variables in this study and the use of explicit rather than implicit measures of cognitive impulsivity and moral neutralization.

The practical implications of these results are that they point to ways in which improved parenting can lead to crime deceleration; reduced cognitive impulsivity and moral neutralization can lead to crime deceleration.

These results imply that social variables like parental knowledge and support stimulate a change in cognition as part of the process by which delinquency escalates during early adolescence.

The unique contribution this study makes to the field is that it highlights the role antisocial cognition plays in mediating between social factors and delinquency as part of the crime acceleration process that often occurs in early adolescence.

In the field of engineering, the fractional moments of random variables play a crucial role and are widely utilized. They are applied in various areas such as structural reliability assessment and analysis, studying the response characteristics of random vibration systems and optimizing signal processing and control systems. This study focuses on calculating the fractional moments of positive random variables encountered in engineering. This study focuses on calculating the fractional moments of positive random variables encountered in engineering.

By integrating Laplace transforms with fractional derivatives, both analytical and practical numerical solutions are derived. Furthermore, specific practical application methods are provided.

This approach allows for the stable and highly accurate calculation of fractional moments based on the integer moments of random variables. Data experiments included in this study demonstrate the effectiveness of this method in solving fractional moment calculations in engineering. Compared to traditional methods, the proposed method offers significant advantages in stability and accuracy, which can further advance research in the engineering field that employs fractional moments.

(1) Accuracy: Although the proposed method does involve some error, its error level is significantly lower than traditional methods, such as the Taylor expansion method. (2) Stability: The computational error of the proposed method is not only minimal but also remains stable within a narrow range as the fractional order varies. (3) Efficiency: Compared to the widely used Taylor expansion method, the proposed method requires only a minimal number of integer-order moments to achieve the desired results. Additionally, it avoids convergence issues during computation, greatly reducing computational resource requirements. (4) Simplicity: The application steps of the proposed method are very straightforward, offering significant advantages in practical applications.

The article aims to provide an accurate and efficient numerical algorithm for viscous flows in power-law fluids under various thermal boundary and partial slip conditions.

We are conducting a numerical investigation using the Taylor–Galerkin/pressure correction finite element method, which builds upon the work of previous researchers. Here, attention is therefore given to the interplay of various thermal boundary and stick-slip conditions and their impact on non-isothermal inelastic fluid.

The results demonstrate the influence of the Prandtl, Brinkman and Reynolds numbers on the flow’s thermal and hydrodynamic behavior, concentrating on the impact of slip at the wall. Furthermore, we have presented the effects of these dimensionless parameters on the detailed local and average Nusselt numbers, illustrated the high accuracy we obtained for numerical convergence, and compared our results with those of previous papers, observing excellent agreement.

We have successfully tested the code under the presented industrial conditions. Future research directions on this topic aim for efficient and robust solvers for non-Newtonian thermal rheological models; this algorithm can be used for that purpose.

This algorithm has never been used for numerical analysis of such a problem previously.

The purpose of this study is to (1) improve the spectral features of the second-order uniformly non-oscillatory (UNO) slope limiters, and (2) numerical simulation of the unified-form of generalized fully-coupled saturated thermo-poro-elastic systems in the axisymmetric cylindrical coordinate via cell-adaptive Kurganov-Tadmor (KT) central high-resolution scheme using the UNO limiters.

(1) The spectral features of the UNO limiter are improved by compression-adaptive MINMOD (MM) limiters, achieved by blending different types of MM limiters to achieve less numerical dissipation and dispersion. These blended MM limiters preserve the total variation diminishing (TVD) feature over non-uniform non-centered cells. Also, the spectral features of the central schemes using the UNO limiters are investigated. (2) For the thermo-poro-elastic problem, corresponding first-order hyperbolic system is provided, including flux, source, diffusion and nonlinear terms. Where, there are different interacting components in the source and flux terms. The nonlinear terms are also considered by the Picard-like linearization concept.

Compression-adaptive UNO limiters would be stable over adapted cells with centered and non-centered cells. The benchmarks confirm that both spectral features and numerical accuracy are improved. For the generalized thermo-poro-elastic problem, corresponding responses including the shock waves can properly be captured.

Studying heat effects (e.g. hot fluid or freezing) and explosions on tunnels. Also, the UNO limiters could be used for simulations of various systems of conservation laws.

This final chapter encapsulates the key moments and leadership lessons from Taylor Swift’s career. Throughout the book, we’ve seen Swift’s visionary leadership, creativity, resilience, and authenticity. By exploring her strategic decisions and transformative leadership style, we offer aspiring leaders actionable insights on setting clear goals, motivating others, embracing innovation, and leading with integrity. As we conclude, we shift from reflection to action, encouraging readers to apply these principles in their own leadership journeys.

This chapter examines Taylor Swift’s strategic response to losing control over her master recordings, showcasing exemplary crisis management. Swift’s decision to re-record her albums illustrates how proactive crisis handling can transform challenges into opportunities. This chapter uses the five phases of crisis management and positive psychological capital to analyze Swift’s approach, highlighting her resilience, optimism, and strategic thinking. By navigating adversity and advocating for artist rights, Swift demonstrates effective leadership and the power of taking control of one’s destiny.

This chapter is an introduction to the book “Swift Leadership: A Taylor-made Approach to Influence and Decision Making” which is part of the “Exploring Effective Leadership Practices Through Popular Culture” series. The book explores the business practices, decisions, and influence tactics used by popular musician and icon Taylor Swift. Swift leverages her popularity to stand up to entertainment industry giants and champion the underdog. This first chapter provides an overview of the book and reasons why analyzing Swift’s leadership approach is helpful.