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The main purpose of this review was to synthesize pre-service teachers' digital self-efficacy in the context of education 5.0 and to identify the elements that affect pre-service teacher's digital self-efficacy and preparedness for future technologies. A systematic review approach was employed to analyze the 22 articles about the pre-service teachers' digital self-efficacy of in the paradigm of education 5.0. The review was conducted from 2012 to 2022 following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. In this study, PICO model was used in framing research questions. The findings of the review revealed that limited study has been carried out in the context of digital self-efficacy in the context of education 5.0. It was found that previous studies were only focusing general digital self-efficacy through traditional ways. Moreover, findings revealed there is lack of research on digital self-efficacy pre-service teachers in the realm of education 5.0 paradigm in the literature. More specifically, the results revealed that implementation of education 5.0 into teacher preparation programmes faces numerous challenges, including a lack of technological approach, poor digital infrastructure, the digital divide, a paucity of professional training opportunities for teachers and a lack of importance in policies. This synthesis of the literature review has practical implications for pre-service teachers along with policymakers. Pre-service teachers are required to increase their digital skills for the reason that they could teach the advanced generation. The policymakers can revisit and update the curriculum to incorporate education 5.0 principles in the teacher education programmes. This comprehensive review helps to better understand the pre-service teachers' digital self-efficacy towards education 5.0 and contributes to the body of existing knowledge on digital self-efficacy. Moreover, this study gives valuable insights on the incorporation of education 5.0.

Recent advancements in technology have led to the exploration of solar-based thermal radiation and nanotechnology in the field of fluid dynamics. Solar energy is captured through sunlight absorption, acting as the primary source of heat. Various solar technologies, such as solar water heating and photovoltaic cells, rely on solar energy for heat generation. This study focuses on investigating heat transfer mechanisms by utilizing a hybrid nanofluid within a parabolic trough solar collector (PTSC) to advance research in solar ship technology. The model incorporates multiple effects that are detailed in the formulation.

The mathematical model is transformed using suitable similarity transformations into a system of higher-order nonlinear differential equations. The model was solved by implementing a numerical procedure based on the Wavelets and Chebyshev wavelet method for simulating the outcome.

The velocity profile is reduced by Deborah's number and velocity slip parameter. The Ag-EG nanoparticles mixture demonstrates less smooth fluid flow compared to the significantly smoother fluid flow of the Ag-Fe3O4/EG hybrid nanofluids (HNFs). Additionally, the Ag-Ethylene Glycol nanofluids (NFs) exhibit higher radiative performance compared to the Ag-Fe3O4/Ethylene Glycol hybrid nanofluids (HNFs).

Additionally, the Oldroyd-B hybrid nanofluid demonstrates improved thermal conductivity compared to traditional fluids, making it suitable for use in cooling systems and energy applications in the maritime industry.

The originality of the study lies in the exploration of the thermal transport enhancement in sun-powered energy ships through the incorporation of silver-magnetite hybrid nanoparticles within the heat transfer fluid circulating in parabolic trough solar collectors. This particular aspect has not been thoroughly researched previously. The findings have been validated and provide a highly positive comparison with the research papers.

This study examines the relationship between board gender diversity (BGD) and financial performance (FP) in the Malaysian emerging market, focusing on the mediating role of Environmental, Social and Governance (ESG) performance.

Using a dataset of 976 observations from Malaysian publicly listed companies from 2016 to 2023, this study explores BGD as the independent variable with FP measured through both accounting and market metrics. ESG performance serves as a mediating variable. The analysis employs Structural Equation Modelling (SEM) to examine direct and mediating effects, supplemented by the Baron and Kenny approach and Two-Stage Least Squares (2SLS) regression for robustness.

The findings indicate that higher BGD positively and significantly impacts all three performance measures: Tobin's Q (TQ), Return on Assets (ROA) and Return on Equity (ROE). ESG performance positively influences these measures. The SEM analysis reveals a significant positive impact of BGD on ESG performance, which fully mediates the relationship between BGD and TQ/ROA and partially mediates the relationship between BGD and ROE.

The results have significant implications for policymakers, board members, scholars and investors, stressing the importance of gender diversity and ESG performance in improving FP. The findings suggest that enhancing board effectiveness through BGD can promote sustainable practices and align corporate strategies with broader sustainability goals, which eventually helps to improve companies’ FP.

This research contributes to the literature by highlighting the mediating role of ESG performance in the relationship between BGD and FP and emphasizing the importance of gender diversity in corporate sustainability. It addresses this gap by providing insights into how ESG performance enhances the impact of BGD on FP.

This study aims to find out whether firms in the local textiles industry are benefiting from the combined implementation of lean practices (LPs) and quick-response manufacturing (QRM) during the era of COVID-19. The study further explores the mediating role played by quick response manufacturing in the relationship between LPs, internal process performance (IPP) and customer performance.

A questionnaire is used to garner data from 123 local firms in Ghana’s textile industry. The analysis for all the hypothesized relationships is done using partial least square structural equation.

The results of the study indicate that LPs significantly strengthen the implementation of QRM. The result also suggests that LPs and QRM can be combined to influence IPP and customer performance. The results further suggest that QRM mediates the relationship between LPs, IPP and customer performance.

This study proposes and develops an integrated research model that explores the synergistic application of LPs and QRM in achieving improvements in IPP and customer performance from an emergent country perspective during the era of COVID-19. QRM serves as an important mechanism through which the relationship between LPs, IPP and customer performance can be explained.