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The present findings aim to investigate the thermal behavior of water-based nanofluid flow over a rotating surface, focusing on understanding the effects of different types of nanoparticles on thermal efficiency, considering thermal radiation and variable viscosity effects. By considering four distinct nanoparticles – silicon dioxide titanium dioxide, aluminum oxide and molybdenum disulfide – the study aims to provide insights into how nanoparticle addition influences heat production, thermal boundary layer thickness and overall thermal performance.

The study employs computational methods, utilizing the BVP mid-rich algorithm for the solution procedure. The computational approach allows for a detailed investigation of the thermal behavior of nanofluid flows across a rotating surface under varying conditions.

The study concludes that adding nanoparticles in the base liquid increases heat production in the system, resulting in enhanced thermal boundary layer thickness. The comparative analysis shows that different nanoparticle types exhibit varying effects on thermal efficiency, suggesting that careful selection of nanoparticles can optimize heat transport and thermal management processes. Moreover, there's a noteworthy uptrend in the radial velocity profile concerning the stretching parameter, whereas a converse trend is observed in the thermal profile.

This study contributes original insights by comprehensively investigating the thermal behavior of water-based hybrid nanofluid flow over a rotating surface.

This study aims to respond to the latest research calls to precisely revisit the nexus between corporate green innovation (CGI) and financial decisions through deeply investigating the mediating effect of corporate environmental performance measured by the effectiveness of emission reduction.

This study analyzes nonfinancial-listed firms on the Australian Securities Exchange from 2002 to 2019 using multiple regression analysis on a panel data set. Initially, different static panel data approaches were used. To account for the potential endogeneity issue and generate robust outcomes, the authors apply the one-step system generalized method of moment, two-stage least squares and lagged model approaches.

The results provide a clear indication that the practices of green innovation can favorably contribute to the level of environmental performance, which in turn affect the firm’s ability in opening the new financial doors and shape solid capital structure. In this context, the effective environmental performance fully mediates the nexus between CGI and capital structure of a firm. More importantly, the outcomes are robust and coherent across different estimation techniques.

The originality of this study lies in its utilization of mediation analysis to explore the relationship between CGI and a firm's financial structure. This approach distinguishes it from previous research by offering a thorough and nuanced understanding of how green innovation practices influence the financing decisions of a firm.

This study aims to understand the relationship between family incivility and employees' organisational citizenship behaviour. It also explores the mediating role of negative rumination and the moderating roles of workplace friendship and optimism.

To test the hypothesised relationships, 381 responses were collected from employees at two-time points. The hypothesised relationships were tested using process macros.

The results indicated that family incivility is negatively related to organisational citizenship behaviour and increases negative rumination. The study also established the mediating role of negative rumination in the relationship between family incivility and organisational citizenship behaviour. The study also supported the buffering role of workplace friendship and optimism in the relationship between family incivility and negative rumination.

The study findings extend the understanding of how a non-work stressor can influence employee behaviour in the organisation. The study findings provide valuable directions to mitigate family incivility's adverse effects and extend the existing body of knowledge.

The study is unique as it links family events to work outcomes. Only a few scholarly attempts were undertaken to understand the effect of family incivility on employees' work behaviours. By explaining the mechanism and conditions, the study has a unique value to the scholarship.

Small and medium enterprises (SMEs) significantly contribute to economic growth, development, exports and employment of the nations. To maintain competitiveness in today's market, SMEs must explore and identify enablers to enhance their digital transformation process. This paper aims to shed light on some essential enablers SMEs can use to implement digital resilience successfully.

The quantitative assessment and validation of the enablers have been done using powerful and novel techniques, namely, the Delphi method, “fuzzy interpretive structural modelling” (F-ISM) method and “cross-impact matrix multiplication applied to classification (MICMAC)” analysis. The F-ISM model is developed using the information drawn from digital transformation experts and practitioners involved in the digital transformation process for SMEs. Furthermore, the F-ISM model provides four paths to complete the pathway to digital resilience.

The F-ISM and MICMAC analysis revealed four ways to enhance the digital transformation process in SMEs. These enterprises can utilise these path assessments to become digitally resilient in the present dynamic scenario. To enhance digital resilience among SMEs, the study identified ten enablers. Among these, “management competencies” was the most crucial, followed by “knowledge management” and “monitoring and controlling”.

The present study is limited in that the data used to develop the models were collected from a small group of industry experts whose opinions may not exhibit the comprehensive views of the population.

The findings can help SMEs enhance the digital transformation process by taking up different pathways to integrate the various enablers of digital resilience depending on resource availability.

The results indicate the most critical and influential enablers for enhancing digital resilience among SMEs. This research can be valuable to academicians, industry practitioners and researchers for guiding their future work.

Kerala, a southern state in India, is acknowledged for its socio-economic reforms such as quality health care, gender parity, high literacy rate and more. However, recent trends show that the state has the highest incidence of various noncommunicable diseases in the country, including diabetes, hypertension and heart coronary artery disease. This research paper aims to examine the link between the Kerala population’s lifestyle, diet and genetic factors and its correlation with a heightened cardio-metabolic risk.

Using Dixon Wood’s interpretive synthesis, this qualitative literature review is systematically used by searching, gathering articles, theme building, comparing and criticising the evidence.

The result shows that only minimal evidence is available regarding the genetic makeup of the Kerala community, food patterns and its link to the high prevalence of non-communicable diseases (NCDs). However, limited and contradicting evidence and studies restricted to a particular region in the state demand more research on this domain.

It is vital to review the diet habits of Keralites due to the alarmingly high prevalence of NCDs. To the best of the authors’ knowledge, this is the first comprehensive review of the diet habits of Kerala and their link to NCDs.

Small and medium-sized enterprises (SMEs) have contributed substantially to the global entrepreneurial environment and economic growth, particularly within emerging economies. However, the success rate of these enterprises is relatively low in most developing countries, particularly India. Therefore, this study aims to contribute towards creating a sustainable model for enhancing entrepreneurial performance by examining the impact of entrepreneur digital literacy, entrepreneurial attitude and innovative work behaviour on their sustainable performance. It also explores the role of innovative work behaviour as a mediator in the relationship between entrepreneurial digital literacy, attitude and SMEs’ sustainable performance.

Data was collected from a sample of 329 entrepreneurs registered with the Department for Promotion of Industry and Internal Trade portal in India using snowball random sampling and was analysed via the structural equation modelling technique.

The findings reveal that entrepreneurial digital literacy and attitude play a robust and critical role in supporting innovation and SMEs’ long-term success, respectively. Entrepreneurial digital literacy equips individuals with the skills to navigate digital tools effectively, fostering innovation within SMEs and enabling them to adapt to evolving market demands. Similarly, a positive entrepreneurial attitude, characterised by a proactive and risk-taking mindset, is essential for driving SMEs’ long-term success by facilitating growth and adaptation in competitive business environments. Moreover, the relationship between entrepreneurial digital literacy, attitude and sustainable performance was found to be partially mediated by innovative work behaviour. Innovative work behaviour, including creativity, proactivity and risk-taking, is a bridge, translating digital literacy and entrepreneurial mindset into tangible outcomes that contribute to sustainable entrepreneurial performance and resilience in dynamic market conditions.

The described research work offers a valuable contribution to the field by integrating digital literacy and entrepreneurial attitude within the context of entrepreneurship. Exploring how innovative work behaviour mediates the relationship between digital literacy, entrepreneurial attitude and sustainable entrepreneurial performance contributes to a deeper understanding of the mechanisms driving success in today’s digital economy.

The present study apotheosises on the relationship between blockchain and fintech and its impact on the financial services sector. It then gauges into the various aspects that have been included in the published literature by the authors all across the world.

Post-pandemic, technology has led to tremendous opportunities in the financial sector, and the customers have started assessing financial services in online mode, thus enabling companies to innovate their business strategies. The present chapter aims to explore the areas where blockchain is benefitting the financial sector.

The objectives of this study were achieved through systematic review of literature performed with the help of bibliographic analysis. Further, a PRISMA model was developed, and the networks were derived with the help of Scopus analyser software and VOSviewer Version 1.6.15.

It is observed that since the introduction of the term and development of the first blockchain, a lot of work has been performed in the said domain, but it is still at a nascent stage. It is thus discovered that the string specific research documents got published in Scopus database from 2016 onwards, and a considerable amount is being performed by authors from China, the United States and India.

The present chapter exhibits the various dimensions in which a lot has to be yet explored and needs to devise innovative and full proof strategies which will enable to overcome the challenges, thus strengthening the position and working of the companies in Industry 5.0.

This paper aims to analyse how financial literacy (FL) is conceptualised and operationalised in the Indian context.

A systematic literature review (SLR) was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) protocol. Thirty-six articles published between 2010 and 2020 were considered for analysis. The FL conceptualisation was examined based on knowledge, ability, skill, attitude and confidence elements. The FL operationalisation was analysed using the modified version of the Organisation for Economic Co-operation and Development’s (OECD) Programme for International Student Assessment (PISA) 2012 model for organising the domain for an assessment framework.

The findings indicate that, despite offering operationalisation details of the FL, 13 out of 36 studies did not include a conceptual definition of FL. Of the 23 studies that mentioned a conceptual definition, 87% are primarily focused on the “knowledge” element and only 39% have combined knowledge, ability/skill and attitude elements in defining FL. As in the developed countries, the Indian studies also preferred investment/saving-related contents in their FL measures. The volume of content focusing on the financial landscape is meagre amongst the FL measures used in India and developed countries. The survey instruments of most studies have been designed in the individuals’ context but have failed to measure the extent to which individuals apply the knowledge in performing their day-to-day financial transactions. Further, it was found that 20 out of 36 studies did not convert the FL level of their target groups into a single indicator or operational value.

To the best of our knowledge, this is the first study that explores the FL’s assessment practices in India. Further, this study offers new insights by comparing the contents of FL measures used in Indian studies with those used in developed countries.

The present paper aims to conduct a comprehensive scientific mapping of exchange rate forecasting, highlighting trends, developments, and methodological changes. This will provide research scholars, researchers, and policymakers valuable insights to facilitate predictions.

The researchers performed a bibliometric analysis of exchange rate forecasting using a scientific search method on the Scopus database from 1991 to 2022. They applied a web interface program called Biblioshiny, part of the Bibliometric package built in R by Aria and Cuccurullo (2017). VOSviewer was used to identify the most influential journals, authors, countries, articles, citations, and co-citations from 1,602 documents.

The conceptual and intellectual framework of the papers under review provided an in-depth and comprehensive analysis of the domain. The research outcomes provided essential information on the subject matter, highlighting the need for further investigation. The study’s findings demonstrate the evolution of the theory of forecasting exchange rates reflecting continuous developments in the methodologies applied to forecast the exchange rates.

The scientific mapping of the present study’s bibliometric analysis is limited to the Scopus database because of its comprehensive coverage of high-quality journals and predefined structures compatible with Bibliometrix software.

The study provides considerable insight into forecasting exchange rates and their interlinkages. By outlining the social and intellectual structure of the field, it directs upcoming scholars about the relevant topics, contexts and potential collaborations emerging in this field. The study also reveals the critical concerns in the area and leads to potential research opportunities.

The study sheds light on emerging trends and approaches to forecasting exchange rates and will provide valuable information and insights to policymakers, economists, investors and decision-makers in the financial sector. It will contribute to prioritising research in overlooked areas and support the formulation of effective policies.

This study contributes significantly by bringing together disparate literature on exchange rate forecasting, highlighting important journals, authors and documents, and examining the recent studies on the foreign exchange rate.