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Purpose: To investigate the key technologies facilitating the transition towards Industry 5.0 and analysing the contributions of Nvidia, a prominent leader in this field, to these technological advancements.

Significance of the study: Technology companies such as Nvidia play a critical role in this transformation through their innovative solutions. This study addresses the need to understand this evolving landscape and the significant impact of the Nvidia.

Methodology: This study is a qualitative approach that examines the existing literature and secondary case studies pertaining to Industry 5.0, and Nvidia. This study examines Nvidia’s high-performance graphics processing units (GPUs), the digital twin platform Omniverse, and the humanoid robot technology development platform, Isaac.

Findings: The next generation of GPUs with the Blackwell architecture is expected to further advance the development of large language models. The Nvidia Omniverse platform contributes significantly to the development of digital twins, a crucial technology for Industry 5.0. The Nvidia Isaac platform focuses on the development of humanoid robot technology, which is a key component of Industry 5.0. Utilizing realistic simulations with Isaac Sim, imitating human behavior with GR00T, and leveraging the high-performance processing power of Jetson Thor, the platform facilitates the creation of robots capable of safe and effective human–robot collaboration. Nvidia has emerged as a leader in the artificial intelligence (AI), robotics, and gaming sectors because of its innovative and agile company culture.

Practical implications: Companies can leverage Nvidia’s technological solutions to optimize production processes and enhance both efficiency and sustainability. The human–machine collaboration emphasized by Industry 5.0 will necessitate the reshaping of workforce skillsets and operational approaches.

Effective knowledge management in large academic institutions is crucial for fostering innovation and improving educational practices. However, these institutions often face challenges, such as data fragmentation, siloed information systems and the complexity of integrating different data sources from various departments with complex hierarchical structures. To address these problems, the authors proposed a data fabric strategic framework that improves and enhances knowledge management by leveraging ontologies and knowledge graphs. This study aims to investigate the potential of knowledge graphs, ontological knowledge modelling and knowledge representation to improve knowledge management in large academic institutions. It also describes how technology can enhance knowledge accessibility and exchanges and improve decision-making processes based on insights from complex educational systems.

This study uses coordination theory as a foundational framework to analyse intricate data systems in preparation for constructing, the Wizard of Oz method to facilitate the systematic organisation and management of information and the execution of an ontology-based data fabric framework and knowledge graphs. The authors propose a data fabric strategic framework aimed at improving knowledge management by leveraging ontologies and knowledge graphs.

The final evaluation demonstrates that this approach effectively breaks down data silos, promotes research collaboration and improves decision-making processes in large academic settings, offering solution-oriented data fabric technologies applicable to universities and university federations globally.

The proposed system provides a more efficient way of managing and connecting fragmented academic resources, improving accessibility for both learners and educators. By interconnecting and streaming knowledge management process, the system can reduce not only operational costs but also expenses on doing scientific research.

Academic institutions prioritise time efficiency when acquiring vital data for improved scientific results. This emphasis extends beyond data governance to focus on how collective intelligence might improve organisational performance. The academic community has enhanced data utilisation through the implementation of data fabric technologies to improve data accessibility and data line tracking.

This study conducts a systematic literature review and bibliometric analysis to explore the overarching trends, growth trajectories, key themes, significant contributors and scope of research concerning the interplay between foreign capital inflows, institutional quality and the dynamics of financial development.

Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines have been followed to identify the articles. A thorough literature review was then conducted, supplemented by a bibliometric analysis using the Biblioshiny software within the RStudio platform.

Empirical research consistently demonstrates a strong correlation between foreign capital inflows, institutional quality and financial development. The bibliometric analysis indicates a 5.56% annual growth rate in this area, alongside a steady increase in scientific output. Regarding country-specific scientific production, China, Malaysia and the United States rank among the world’s top 10 most prolific nations. Thematic map analysis further reveals that the keywords “institutional quality,” “financial development” and “foreign direct investment” are categorized as “basic themes,” highlighting their significant potential for future research.

The analysis relies on Biblioshiny software; future studies could incorporate other methods such as cluster analysis, citation and co-citation analysis using VOSviewer. Additionally, a more comprehensive meta-analysis covering a longer time span can be considered for future research.

This study shall assist researchers in identifying recent advancements in the components of foreign capital and their direct and indirect effects on financial development through the lens of institutional quality. It provides valuable insights for scholars, aiding in recognizing emerging trends and patterns in the field. Additionally, it highlights key contributors, including leading authors, journals and countries, thereby fostering global academic collaboration.

This research offers policymakers a clear framework for formulating policies to effectively leverage foreign capital inflows for financial development. It also emphasizes the importance of a strong institutional environment in the relationship between foreign capital inflow and financial market development.

The study uncovers key gaps in the multidimensional aspects of financial development and the heterogeneity of foreign direct investment (FDI), thereby deepening scholars' understanding of trends, growth rates and potential future directions in the field.

This study aims to investigate the relationship link between societal and governmental support factors, individuals’ self-efficacy, experience and outcome expectations in framing nascent social entrepreneurs' intentions to establish e-government service centres in rural areas by using the integrated model approach of Hockert’s (2017) social entrepreneurial intentions (SEI) theoretical model and social cognitive career theory (SCCT).

Using a convenient sampling strategy, 615 survey samples were obtained through a questionnaire from e-governance-based social entrepreneurs in Karnataka. The primary data and theorised model are analysed and tested using partial least squares structural equation modelling.

This research findings indicate that appointing agency support, perceived societal support (PSS), government support, social entrepreneurial self-efficacy (SE-SE), public image, prior experience and outcome expectations substantially predicted SEI to establish an e-government service centre. Hence, prior experience and PSS were insignificant regarding direct influence outcome expectations towards establishing e-governance social ventures.

The present research study initially explored the social entrepreneur's intention to provide e-public services to people in rural and distant areas to fulfil social needs. Furthermore, this research revealed that new antecedents of government support, appointing agency support and public image influence the social entrepreneur's intention to establish e-governance service centres. These research findings evaluate the contribution of the government, appointing agencies, social entrepreneurs and citizens to make a framework for the inclination of e-government service centres to create a social impact in rural and remote areas.

Disruptive technologies have changed the way that firms model their business approach. The aim of this study is to analyse the influence of novel digital technologies (artificial intelligence [AI] and machine learning [ML]) and big data analytics on the digital transformation of digital marketing firms. This research study is based on a review of the extant literature, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Gaps in the extant research literature were identified and emerged that are directly linked with the impact of AI, ML and big data analytics on digital transformation for digital marketing firms. Potential opportunities for digital transformation in digital firms were also unlocked, as well as related challenges. The research informs practice and policy for the current trends and provides future research directions. The study was limited to the application of the PRISMA methodology, which is incapable of fully providing testable results for a given study. Complementary cross-sectional research studies using the same methodology in different areas of study with the same topic can be applied to check for relevancy and applicability. This study contributes to digital marketing, information communication technologies, information systems practice and theory building. In addition, it provides researchers with an agenda for future digital transformation research directions.

This study has applied the model by Baldwin and Ford (1988) to empirically examine the influence of select trainee characteristics (i.e. instrumentality and motivation to transfer) and transfer design as a training design factor on the transfer of training to work. It also investigates the possible mediating role of the motivation to transfer and the moderating role of social support at work (comprising supervisor and peer support) in the transfer mechanism.

A self-reported questionnaire was used to survey employees working in a power major in India. In the first stage, we selected one geographical region of the organization using judgmental sampling. In the next stage, executives and non-executives from all five coal-based power stations in that region were selected using systematic sampling. Responses from 411 such employees were analyzed using PROCESS Macro in SPSS. A mediation analysis was done using Model 4, while the moderated mediation hypotheses were tested using Model 7 in PROCESS Macro.

Instrumentality and transfer design were found to impact training transfer through motivation to transfer. While supervisor support moderated the mediational impact of both predictors through transfer motivation, peer support moderated only the impact of instrumentality on transfer through transfer motivation.

This is the first empirical work that has integrated important predictors at trainee, training design, and work environment levels based on the perspective of factors an organization can control. Besides, establishing supervisor and peer support as contextual factors adds to the celebrated model by Baldwin and Ford.

The purpose of this study is to investigate the behaviour of M40 grade of self-compacting concrete (SCC) with high volume of ground granulated blast furnace slag (GGBS) (50%) and recycled concrete aggregate (RCA) content up to 100% to assess the mechanical properties of SCC. As per guidelines of IS: 383 – 2016, the RCA can be replaced up to 20% of natural coarse aggregate up to M25 grade of concrete. This study assesses the mechanical properties of SCC beyond 20% of RCA content. Based on the experimental investigations, the compressive strength of mixes decreases as the content of RCA increases. It is found that concrete mixes with 20% RCA and shows the maximum compressive strength at 56 days.

The fresh properties as per EFNARC and IS: 10262–2019 guidelines, ultrasonic pulse velocity testing, mechanical properties and microstructure analysis have been conducted to evaluate the performance of SCC with RCA for practical applications.

From the experimental investigations, it is found that up to 50% of recycled coarse aggregate can be used for structural applications.

The environmental pollution and dumping of waste on green land can be reduced by effective utilization of recycled coarse aggregate and GGBS in the production of SCC.

The purpose of this study is to investigate the bending behaviour of three-dimensional (3D) thermoplastic polyurethane (TPU) structures printed onto the fabric.

TPU parts with varying infill patterns and raster angles were 3D-printed onto both woven and knitted fabrics. The resulting hybrid structures’ bending behaviours were evaluated using three test methods: cantilever bending, three-point bending and circular compression. Besides, both sides of the hybrid structures were tested to capture the influence of test direction.

The fabric structure is effective on adhesion force and greater values were observed for woven fabrics. The infill structures, raster angle and test directions were observed effective on the bending behaviour of the hybrid structures. The 45° raster angle resulted in greater bending resistance in three test methods. For knitted fabric structures, gyroid infill generally exhibits superior bending resistance. A case of fabricating a personal elbow brace for cubital tunnel syndrome was also introduced.

This study provides experimental information about the effects of 3D printing parameters on the bending behaviour of the hybrid structures and supports the development of special-purpose designs with tailored functionalities for various applications.

The purpose of this paper is to examine the use of phragmites australis ash (PAA) in cementitious systems to achieve sustainable construction.

In this paper, the properties of mortar containing PAA as partial cement replacement are determined. The PAA is produced through slow burning in a closed system to minimize the CO₂ emission. A total of four mortar mixes are prepared with PAA replacement levels ranging from 0% to 30% by weight. The water to binder and the proportions of binder to sand are 0.55 and 1:3 by weight, respectively. The properties tested are density, compressive strength, flexural strength, ultrasonic pulse velocity, water absorption by total immersion and capillary rise. Testing is conducted at 1, 7, 28 and 90 days.

While there is a decrease in strength as the amount of PAA increases, there is strong indication of pozzolanic reaction in the presence of PAA. This is in agreement with the results reported by Salvo et al. (2015), where they found noticeable pozzolanic activities in the presence of straw ash, which is rich in SiO₂ and relatively high K₂O content. At 90 days of curing, there is a decrease of 5% in compressive strength at 10% PAA replacement. However, at 20% and 30% replacement, the reduction in compressive strength is 23% and 32%, respectively. The trend in flexural strength and ultrasonic pulse velocity is similar to that in compressive strength. The water absorption by total immersion and capillary rise tends to increase with increasing amounts of PAA in the mix. There seems to be a linear relationship between water absorption and compressive strength at each curing age.

The Phragmites australis plant used in this investigation is obtained from one location and this present a limitation as the type of soil may change the properties. Also one method of slow burning is used. Different burning methods may alter the composition of the PAA.

This outcome of this research will contribute towards sustainable development as it will make use of the waste generated, reduce the amount of energy-intensive cement used in construction and help generate local employment in the area where the Phragmites australis plant grows.

To the best knowledge of the authors, the ash from the Phragmites australis plant has not been used in cementitious system and this research can be considered original as it examines the properties of mortar containing PAA. Also, the process of burning in a closed system using this material.

The host–guest molecules are often used in various fields and applications. This paper aims to discuss the role of host–guest complexes in the textile industry, focusing on calixarenes as a potential adsorbent for hazardous dyes. The paper begins with an introduction to nanotechnology and its many uses, including textiles.

The risks associated with the utilisation of dyes and its adverse effects on the environment are then also highlighted. This paper also discusses the structure and characteristics of calixarenes and their potential use as an adsorbent to extract toxic metals from aqueous solutions. The paper also explains the molecular structure of calixarenes, especially the ability of its upper and lower rims, which can be altered to yield derivatives with various selectivities for diverse guest ions and small molecules. In addition, the application of various host–guest molecules in the textiles industry to extract dyes also had been discussed.

In conclusion, the paper highlights the essential in establishing a systematic review on the significance of selective adsorbents, such as calixarenes, to isolate particular targets from diverse matrices in the textile industry.

Only discussing several applications for several host–guest molecules.

The paper concisely describes various host–guest molecule applications in the textile industry, with each molecule being elaborated upon in detail.