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Artificial intelligence (AI) has the potential to address significant challenges in education, innovate learning and teaching practices and achieve SDG 4. However, existing literature often overlooks the behavioural aspects of students regarding AI in education, focusing predominantly on technical and pedagogical dimensions. Hence, this study aims to explore the significant relationships among AI literacy, AI usage, learning outcomes and academic performance of generation Z students in the Indian educational context.

The study used structural equation modelling (SEM) on Gen Z students born in the years 1997–2012 as a sample population for the research in the north Indian states like Punjab, Haryana, Himachal and regions like Chandigarh and N.C.R. Delhi.

The results established significant positive relationships between AI literacy, AI usage, AI learning outcomes and academic performance. Specifically, higher levels of AI literacy were associated with increased engagement with AI technologies and tools for learning purposes, leading to better learning outcomes and academic performance. The findings demonstrated that AI literacy plays a crucial role in providing effective learning experiences and fostering skills such as problem-solving and critical thinking among Gen Z students.

The implications of the study include the significance of integrating AI education initiatives into curricula, prioritising professional development programmes for educators and making sure that every student has equitable access to AI technologies.

The study introduces a novel perspective by examining variables such as AI literacy, AI usage, AI learning outcomes and academic performance and developing a model that has not been previously studied. It provides a new discourse and proposes a framework uniquely combining AI-infused curriculum design, educator empowerment, robust assessment mechanisms and sustainable practices.

With growing global emphasis on sustainability, environmental, social and governance (ESG) and corporate social responsibility (CSR) has become a key focus for businesses striving to balance profit with social and environmental responsibility. The purpose of this study is to analyze the publication trends, influential sources, authors and countries on ESG literature as well as highlighting future research themes and directions in ESG and CSR domain.

This study examined 783 documents published between 2008 and 2024 from two major databases including Scopus and Web of Science by using Biblioshiny (R Studio) and VOSviewer for thematic analysis and network cluster analysis, respectively.

The findings demonstrate significant growth in ESG and CSR research, with an upward publication metrics and citation rates. The highest numbers of publications are from developed countries such as USA, China and UK and key journals include Finance Research Letters and Journal of Sustainable Finance and Investment. The cluster analyses identified five key clusters: Transforming Responsible Investing into ESG Investment, Nexus of ESG Practices, Financial Outcomes and Stakeholder Engagement, Aligning ESG Practices with Technological Innovation, Governance and Ethics in Sustainability: CSR-Driven Reporting Practices and ESG Integration and Financial Sustainability.

This study delineates a comprehensive bibliometric analysis by using a unique diverse keyword search strategy to encompass various aspects of ESG literature and filling gaps in previous studies that relied on limited databases and search query.

This study examines the research landscape on women empowerment and self-help groups (SHGs) using bibliometric analysis and network cluster analysis. It also intends to create a model that prioritizes the sustainability of women-led SHGs in order to promote women’s empowerment.

A list of keywords relating to women empowerment and SHGs was employed as a search strategy to highlight current research characteristics and trajectories. The analysis included 397 Web of Science (WoS) and Scopus papers over a period of 20 years from 2003 to 2022.

The analysis indicated an upward trend in the number of publications over the last decade, with India emerging as the most prolific contributor. Furthermore, the network clustering technique facilitated the identification of five central clusters that guide future research.

This study informs policymakers and microfinance institutions about the sustainability of women-led SHGs by empowering women in multiple capacities, including implementing inclusive microfinance for poverty alleviation; promoting nutritional empowerment for women in SHGs; capacity building and entrepreneurial training; evaluating the socioeconomic impact of SHGs in developing contexts; and fostering social capital and inclusive networking for community development.

This research employed Scopus and WoS databases to encompass a wider range of indexed journals. The contribution lies in proposing new research directions and providing practical solutions for sustainability of women-led SHGs to achieve women empowerment.

This study systematically reviews the role of decentralized finance (DeFi) in enhancing the quality, affordability, access and usage of financial services, specifically targeting underserved populations. The aim is to investigate DeFi’s potential in addressing financial exclusion and promoting global financial inclusion.

A systematic literature review was conducted, analyzing 67 peer-reviewed articles. The review focused on extracting actionable insights and recommendations regarding DeFi’s impact on financial inclusion.

The study reveals that DeFi, through the utilization of blockchain technology, can significantly improve accessibility, affordability and usability of financial services. By eliminating intermediaries and reducing entry barriers, DeFi platforms democratize finance and support financial inclusion on a global scale. The research identifies specific mechanisms through which DeFi can enhance financial services for marginalized communities, including decentralized lending, digital wallets and blockchain-based remittances.

The study is constrained by the current literature and data availability on DeFi’s impact on financial inclusion. Future research should explore the scalability, sustainability and long-term effects of DeFi solutions in diverse contexts.

This research uniquely contributes to the literature by examining the intersection of DeFi and financial inclusion, providing innovative approaches to overcoming financial exclusion. The study highlights DeFi’s potential to transform financial services and empower underserved populations economically.

The emergence of green banking (GB) as a pivotal force in fostering environmentally and socially responsible economic practices has gained significant traction in recent years. This paradigm shift within the banking sector advocates for the rise of Green financial technology (Fintech), serving as a catalyst for innovative digital tools promoting environmental, social and governance (ESG) investments and sustainable banking practices. This study aims to investigate the impact of green banking awareness (GBA) on green FinTech adoption (GFA) further affecting ESG investments, perceived profitability (PP) and sustainable banking (SB).

The study employed a quantitative approach, utilizing partial least squares-structural equation modeling (PLS-SEM) to analyze data collected through an online administered questionnaire. The sample comprised registered users of various FinTech products and services in the North Indian regions, with 196 respondents.

The study identified a significant positive relationship between GBA and GFA, suggesting that heightened awareness of green banking positively influences the adoption of sustainable FinTech solutions. Additionally, GFA was found to be positively associated with increased ESG investments, perceived profitability and sustainability of personal investment portfolios. These findings underscore the potential of GFA to drive financial empowerment and environmental responsibility.

This research contributes to the concept and application of ESG-driven investments at the individual level. It provides a new discourse and proposes an Eco–Ed nexus framework focusing on strategic insights for stakeholders, guiding the implementation of transformative measures to advance sustainable finance and green economic growth.

Augmented Reality (AR) and Virtual Reality (VR) technologies possess the potential to transform the scenario of making real estate investment decisions through the immersive experience they offer. From the literature it was observed that the research in this domain is still emergent and there is a need to identify the latent variables that influence real estate investment decisions. Therefore, by examining the effects of these technologies on investment decision-making, the purpose of the study is to provide valuable insights into how AR and VR could be applied to enhance customers' property buying experiences and assist in their decision-making process.

From an extensive review of the literature four latent variables and their measure were identified, and based on these a survey instrument was developed. The survey was distributed online and received 300 responses from the respondents including home buyers, developers, AEC professionals and real estate agents. To validate the latent variables exploratory factor analysis was used whereas to establish their criticality second-order confirmatory factor analysis was used.

From the results, the four latent constructs were identified based on standard factor loadings (SFL) that is Confident Value Perception (CVP, SFL = 0.70), Innovative Investment Appeal (IIA, SFL = 0.60), Trusted Property Transactions (TPT, SFL = 0.58) and Effortless Property Engagement (EPE, SFL = 0.54), that significantly influence investor decision-making and property purchase experience.

This study contributes to the literature on real estate investment decisions by providing empirical evidence on the role of AR and VR technologies. The identified key variables provided practical guidelines for developers, investors and policymakers in understanding and leveraging the potential of AR and VR technologies in the real estate industry.

The aim of this study is to perform a systematic literature review on retail agglomeration literature and present an agenda of future research in this domain.

To synthesize and evaluate the retail agglomeration literature, the study adopts a structured systematic literature review approach. Additionally, the study employs the Theory-Context-Characteristics-Methodology (TCCM) framework to present future research directions in the retail agglomeration domain.

This review proposes a conceptual framework showing the relationships between the antecedents, mediators and consequences reported in the retail agglomeration literature. Lexicometric analysis shows that the key themes of retail agglomeration research are retail store selection and retail performance, retail location strategy and store format, customer perceptions, behavior and expectations.

Specific criteria used for the inclusion of literature limits articles considered for the current systematic review. Also, only those articles published in English were considered.

Based on the proposed model, this review presents strategies to enhance the performance of retail agglomeration.

This study has systematically synthesized the retail agglomeration literature to explore its development over time and proposes a research framework which provides a comprehensive understanding of retail agglomeration literature.