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The paper aims to focus on underpinning the moderating role of work meaningfulness in alleviating the impact of general job demands on burnout directly and via work–family conflict by drawing on the conservation of resources theory.

Survey methodology was used for this study, using standardized instruments to assess general job demands, meaningfulness, work–family conflict and burnout. The survey was administered to school teachers (n = 800), and the data set was analyzed through SmartPLS 4.0.

This study ascertained that work meaningfulness moderated the relationship between general job demands and burnout. This study also found that general job demands under conditions of low work meaningfulness positively affected burnout through work–family conflict, thereby validating the moderated mediation model.

While several studies have established the relationship between general job demands, work–family conflict and burnout, to the best of the authors’ knowledge, this is the first study that examined the moderating role of work meaningfulness in the relationship, where work meaningfulness has emerged as a suitable moderator in lowering the impact of job demands on burnout via a work–family conflict. This study contributes to the extant literature on work meaningfulness and adds utility to practice.

The study aims to identify and understand the underlying behavioral tendencies and motivations influencing investor sentiments and examines the relationship between these underlying factors and investment decisions during the COVID-19-induced financial risks.

The study uses the primary data and information collected from 300 Indian retail equity investors using a nonprobability sampling technique, specifically purposive and snowball sampling. This research uses the insights from Phuoc Luong and Thi Thu Ha (2011) and Shefrin (2002) to delineate behavioral factors influencing investment decisions. Structural equation modeling estimates the causal relationship between underlying behavioral factors and investment decisions during the COVID-19-induced financial risks.

The study establishes that the “Regret Aversion,” “Gambler’s Fallacy” and “Greed” significantly influence investment decisions, and provide a comprehensive understanding of how psychological motivations shape investor behavior. Notably, “Mental Accounting” and “Conservatism” exhibit insignificance, possibly influenced by the unique socioeconomic context of the pandemic. The research contributes to 35% of variance understanding and prompts the researchers and policymakers to tailor investment strategies aligned to these behavioral tendencies.

The findings hold policy implications for investors and policymakers and provide tailored recommendations including investor education programs and regulatory measures to ensure a resilient and informed investment community in the context of India's evolving financial landscapes.

Theoretically, behavior tendencies and motivations have been strongly linked to investment decisions in the stock market. Yet, empirical evidence on this relationship is limited in developing countries where investors focus on risk management. To the best of the authors’ knowledge, this study is among the first to document the influence of underlying behavioral tendencies and motivation factors on investment decisions regarding retail equity in a developing country.

The purpose of this study is to delve into the intricate terrain of assimilating sustainability practices into digital accounting and finance, centring on the transformative dynamics introduced by artificial intelligence (AI)-enabled FinTech. The primary objective is to scrutinize critical lacunae in existing literature, exploring how organizations can meticulously construct comprehensive sustainability frameworks. Simultaneously, the study investigates the protracted repercussions of AI-enabled FinTech on the enduring sustainability paradigms.

Executing a systematic literature review, the research engaged in the meticulous identification and assessment of a voluminous pool of 1,158 articles. Using a judicious two-phase strategy, the scrutiny distilled a mere 64 pertinent articles, subjecting them to rigorous evaluation encompassing methodologies, contributions and overall quality. The Fuzzy Delphi method was used to elicit expert opinions and facilitate consensus-building, leveraging fuzzy logic to accommodate uncertainties in the data.

The review navigates the convoluted impact of AI across diverse sectors, accentuating its transformative imprint on realms such as health care, finance and transportation. Specifically, in the financial domain, the discerning eye of AI-enabled FinTech optimizes investment portfolios, augments risk assessment, propels financial inclusion and streamlines the intricate landscape of sustainability reporting. The study meticulously pinpoints research gaps encompassing investment optimization, risk management, financial inclusion, sustainability reporting and ethical considerations within the intricate milieu of AI-enabled FinTech. This research contributes to the existing body of knowledge by synthesizing intricate thematic strands, discerning overarching trends and spotlighting critical voids in the synthesis of sustainability practices and AI-enabled FinTech. The findings resonate with far-reaching implications, emphasizing the exigency of comprehensive investigations into the longitudinal sustainability ramifications instigated by AI-enabled FinTech.

The study underscores the imperative of crafting robust ethical frameworks for the equitable and transparent deployment of AI solutions within the intricate landscape of FinTech. Moreover, this research stands poised to shape organizational strategies, inform regulatory frameworks and guide investment decisions, thereby catalyzing the cultivation of conscientious and sustainable financial practices.

India is one of the fastest developing economies, but it faces numerous socioeconomic problems, such as hunger, poverty, under- and unemployment, gender inequity and illiteracy. Corporate social responsibility (CSR) funding at the corporate level could tackle these socioeconomic problems, providing support to the nation’s overall development. Mandated CSR expenditures, in alignment with the achievement of the sustainable development goals (SDGs) of the United Nations, would support the nation’s contributions to building a sustainable future. Several questions, however, remain. Thus, this study aims to explore relationships between a company’s gross and net profits and its expenditures for CSR; and mapped the specific CSR activities used to address each of the 17 UN SDGs and then draw implications for human resource development (HRD).

The data were gathered from published annual reports (2019–23) of 60 Fortune 500 Indian companies. A zero-order correlation was used to find the relationship between CSR expenditure and gross, as well as net, profits. Furthermore, the CSR activities of the sample were mapped with the UN SDGs.

There was a positive, moderate to strong correlation between CSR expenditures and gross profit (r = 0.82, p < 0.01), but for net profit, the correlation was strong (r = 0.85, p < 0.01). All CSR activities mapped to at least one of the SDGs.

The alignment of CSR activities and SDGs based on Fortune 500 Indian companies has not yet been explored. Also, no study to date discusses the gaps in the CSR expenditures for specific UN SDGs.

This study aims to assess the financial literacy (FL) level among Indian Muslims. Moreover, the effort was also directed towards determining the various factors affecting such FL.

Secondary data on 5,247 respondents from the Financial Inclusion Insight 2017 database was used. FL was measured based on the Standard and Poor’s Global FinLit survey questions. The study used the generalised structural equation model along with relevant statistical and econometric methods.

The level of FL amongst the Muslims in India was noticed to be poor and highly heterogeneous. Age, marital status, gender, occupation, educational attainment, location, family size, financial inclusion and economic status emerged as the determinants of such FL.

The exploration of FL and the underlying determinants amongst the Indian Muslims has received limited attention in the extant scholarship considering their socio-economic backwardness. In addressing this research gap, to the best of the authors’ knowledge, the study attempts to provide a comprehensive insight into such aspects using a large sample of Indian Muslims for the first time.

This study aims to evaluate the suitability of Ferrock as a green construction material by analysing its engineering properties, environmental impact, economic viability and adoption challenges. It also aims to bridge knowledge gaps and provide guidance for integrating Ferrock into mainstream construction to support the decarbonisation of the built environment.

It presents a systematic and holistic review of existing literature on Ferrock, comprehensively analysing its mechanical properties, environmental and socio-economic impact and adoption challenges. The approach includes evaluating both quantitative and qualitative data to assess Ferrock’s potential in the construction sector.

Key findings highlight Ferrock’s superior mechanical properties, such as higher compressive and tensile strength, and enhanced durability compared to traditional Portland cement. Ferrock offers significant environmental benefits by capturing more CO₂ during curing than it emits, contributing to carbon sequestration and reducing energy consumption due to the absence of high-temperature processing. However, the material faces economic and technical challenges, including higher initial costs, scalability issues, lack of industry standards and variability in production quality.

This review provides a comprehensive and up-to-date analysis of Ferrock. Despite being discussed for a decade, Ferrock research has been overlooked, with existing studies often limited and published in poor-quality sources. By synthesising current research and identifying future study areas, the paper enhances understanding of Ferrock’s potential benefits and challenges. The originality lies in the holistic evaluation of Ferrock’s properties and its implications for the construction industry, offering insights that could drive collaborative research and policy support to facilitate its integration into mainstream use.

This research work aims to arise from developing new communication channels for customer service in micro, small and medium enterprises (MSMEs), such as chatbots. In particular, the results of the usability testing of three chatbots implemented in MSMEs are presented.

The methodology employed includes participants, chatbot development platform, research methodology, software development methodology and usability test to contextualize the study's results.

Based on the results obtained from the System Usability Scale (SUS) and considering the accuracy of the chatbot's responses, it is concluded that the level of satisfaction in using chatbots is high; therefore, if the chatbot is well integrated with the communication systems/channels of the MSMEs, the client receives an excellent, fast and efficient service.

The paper analyzes chatbots for customer service and presents the usability testing results of three chatbots implemented in MSMEs.