Purpose: The purpose of this research is to study the effect of the trading activities of FIIs and DIIs on the Nifty Index and BSE Sensex. This study also examined the long-term relationship among the above-mentioned variables. Design/Methodology/Approach: We used secondary data of the Nifty index, BSE Sensex, FIIs (net purchases/sales), and DIIs (net purchases/sales) in the current study. This data was collected for the period January 1st, 2021, to December 31st, 2024. E-views, SPSS, and M S Excel have been applied to conduct this research. The long-term association between the variables has been examined here using ARDL. The direction and degree of correlations between the variables were examined using correlation and R-squared. Result: Long-term cointegration has been found among the variables. The correlation is showing that FIIs' net trading has a negative impact on the Nifty index as well as the BSE Sensex, while DIIs have a high positive impact on the Nifty index and the BSE Sensex. FIIs and DIIs trading is not affecting more than 3% of the Nifty Index and the BSE Sensex.

In the present study researcher has made an attempt to study financial literacy with a systematic bibliometric analysis. Researcher has used secondary data collected from lens.org the data collected by researcher has been a dually process. Researcher has collected highly cited research papers relevant to financial literacy. researcher has used Vos software to make bibliographic analysis. researcher has found most influential authors, highly cited papers most influencing papers. the researcher found that financial literacy and its knowledge is very important in 21st century. It is also concluded by highly cited research papers that knowledge of financial literacy brings more investment in the market. Keywords: Financial Literacy, Research, Ecosystem, Bibliometric Analysis, CitationAnalysis

In light of the global trend toward digital transformation, this study explores the integration of artificial intelligence into public policy and management education. It aims to evaluate the effects of AI technology on students' data analysis proficiency and risk forecasting capabilities, while also offering practical recommendations. With the rapid development of emerging technologies such as the Internet of Things, big data, cloud computing, andAI traditional teaching methods in public policy and management are increasingly inadequate in today's competitive and unpredictable market. This research introduces AI applications into the curriculum to enhance students' decision-making support and risk identification skills, thereby better aligning academic instruction with real-world industry demands. A survey was conducted with 216 students from the Department of public policy and management over a 16-week period (totaling 48 class sessions). The results demonstrated high internal consistency across all measured constructs, confirming the reliability and validity of the tools used. Moreover, correlation analysis revealed a significant positive relationship among AI application, analytical ability, and risk forecasting, supporting the idea that technological integration helps develop skills that improve risk assessment outcomes. Both structural equation modeling and nested model analyses confirmed that the overall theoretical model provided a good fit, effectively explaining the connection between enhanced learning outcomes and improved decision-making in the AI-based instructional experiment. In summary, the findings validate that the use of artificial intelligence can significantly boost students' analytical and risk prediction skills. This research offers robust empirical support for innovating public policy and management teaching methods. Moving forward, schools can use these insights to further refine curriculum design, promote instructor training and cross-department collaboration, and strengthen partnerships between academia and industry, ultimately driving a mutually beneficial evolution in both teaching practices and market requirements.

Given the rise of the hybrid work culture in the post-pandemic world, various considerations must be made regarding the well-being and sustainability of the workforce. However, there is a lack of a comprehensive and standardised framework to measure hybrid work culture. This research aims to develop and validate a scale to measure the various aspects of the existing hybrid work culture. A questionnaire was distributed to 300 employees who work in a hybrid work culture using a five-point Likert scale to assess their opinions. The reliability of the collected data was good across all scales used to assess aspects of work culture. An exploratory factor analysis of the data collected demonstrated that the data fit into four factors with a KMO value of 0.782 and a p-value that was less than 0.001 for Bartlett's test for homogeneity of covariance matrices. Furthermore, the confirmatory factor analysis using the DWLS estimator also demonstrated excellent model fit with a chi-square value of 219.354 and a p-value of 0.612, a comparative fit index valueof 1.000, and aTucker-Lewis Index valueof 1.005. These findings indicate that the hybrid work culture can be represented as a multidimensional model encompassing various aspects of such a work culture. The work presented also adds to the existing literature on the topic and gives recommendations to the organisations that implement such work cultures to improve their sustainability goals. Keywords: Hybrid Work Culture, Work Flexibility, Technology Integration, Work–Life Balance, Sustainability, Scale Development, Organisational Performance

The article presents a critical analysis of contemporary models for assessing the digital maturity of banks in the age of artificial intelligence, substantiating the need for their adaptation to a dynamically transforming financial environment. Key international models and local approaches are examined, including the regulatory requirements of the Bank of Russia and the SDI360 methodology, with a focus on their advantages and limitations in the context of the Russian banking sector. Particular attention is paid to the impact of breakthrough technologies—artificial intelligence, big data, and cloud computing—on the optimization of customer experience and internal business processes. The authors propose an Adaptive Model of Bank Digital Maturity (AMDMB), which integrates six dimensions (strategy, technologies, customer experience, data, culture, and risks) and a flexible system of weighting coefficients for the precise diagnosis of the state of the digital ecosystem. The empirical analysis identifies the main barriers to digital transformation, including cyber risks, demographic disproportions, and resistance to change among personnel. The results of the study highlight the critical importance of a systemic approach to assessing digital maturity as a foundation for strategic management and the competitiveness of banks in the digital economy. The theoretical significance of the study lies in expanding the understanding of mechanisms for assessing digital banking, while its practical value is associated with the possibility of applying the proposed model for the systematic monitoring and optimization of digital transformation processes in credit institutions. The article is intended for specialists in financial management, IT architecture, and regulatory policy, as well as researchers engaged in the study of banking digitalization.

Digital transformation, as a new concept, has the potential to redefine the competitive capabilities of firms. This study focuses on manufacturing firms in Uzbekistan, with the aim of investigating the impact of this transformation on supply chain resilience in the specific context of an emerging economy. The research method was a survey and the statistical population included managers and senior experts of medium and large manufacturing firms in various industries in the country. Data were collected through a structured questionnaire and analyzed using correlation and regression methods. The empirical findings confirm the positive and strong relationship between digital transformation maturity and supply chain resilience. Regression analysis showed that the digital transformation variable alone explains 46.5% of the variance in resilience. Among the three dimensions of transformation, “data-driven culture” had the highest contribution to predicting resilience with a beta coefficient of 0.398. There was also a significant gap in the adoption rate of more advanced technologies such as artificial intelligence (9 %) and the Internet of Things (22 %) compared to basic technologies such as enterprise resource planning systems (45 %). This study shows that digital transformation, especially through institutionalizing a culture of data-driven decision-making, is an important strategic investment for strengthening operational resilience in Uzbek manufacturing enterprises. Therefore, managers should prioritize digital transformation as a critical component that simultaneously encompasses technology, process, and people.

The growing problem of electrical and electronic waste (e-waste) poses a major environmental challenge, particularly in India, where limited management facilities and consumer reluctance aggravate the situation. Rising consumption and rapid technological advancements further intensify the issue. This study extends the Theory of Planned Behavior (TPB) by incorporating co-creation to examine consumer behavior in ewaste management.Acomprehensive scale was developed to assess key constructs Attitude, Subjective Norms, Intention, Perceived Behavioral Control, Responsible Consumer Behavior, and Co-creation influencing consumer engagement. Data were collected from 445 participants across India and analyzed using SPSS ver. 26 and PLS-SEM ver. 4. Findings show that attitude, subjective norms, and perceived behavioral control significantly predict intentions for responsible e-waste management. Co-creation (t = 9.807) significantly moderates responsible consumer behavior, strengthening the positive effect of intention on sustainable practices. The scale demonstrated strong reliability and validity, underscoring the importance of collaboration in promoting sustainable e-waste management. Keywords: E-waste management, Consumer behavior, Theory of Planned Behavior, Co-creation, Sustainability, Responsible consumer behavior, Scale development.

The growing emphasis on sustainable industrial development has increased the need for industries to balance economic performance with environmental and social responsibilities. Among resource-intensive sectors, the phosphate fertilizer industry faces significant sustainability challenges due to high energy consumption, waste generation, emissions, and dependence on non-renewable resources. In response to these challenges, eco-efficiency has emerged as an important operational approach for improving resource utilization and reducing environmental impact while maintaining productivity and competitiveness. Despite increasing interest in industrial sustainability, limited empirical research has examined the relationship between ecoefficiency practices and sustainability performance within the phosphate fertilizer industry. The present study examines the impact of eco-efficiency practices on sustainability performance, with particular emphasis on the mediating role of technological adoption. Eco-efficiency is conceptualized through four operational dimensions: process optimization, waste management, energy efficiency, and sustainable sourcing. Sustainability performance is examined across environmental, economic, and social dimensions based on the Triple Bottom Line framework. The study adopts a quantitative research design and collects data from 296 respondents associated with phosphate fertilizer manufacturing organizations. Structural Equation Modeling (SEM) is employed to test the proposed relationships and mediation effects.

This article dives into the real-world marketing struggles Kudumbashree's women-led micro-enterprises face in Kerala. These businesses sit at the crossroads of old-school methods and new digital hopes — but honestly, most are still leaning hard on what they know best: word-of-mouth, local festivals, and neighborhood sales. Digital marketing is mostly an afterthought, and when it does show up, it's hesitant and patchy. Talking to 50 Kudumbashree businesses in Kollam shows what's really happening. The classic ways still dominate. Nearly everyone relies on personal networks. Taking the business online is slow, mostly because most of these women don't feel comfortable with social media or don't have extra cash to hire help. Simple problems, like basic packaging and blurry branding, keep these businesses stuck. They just aren't reaching big enough markets to grow faster. Government efforts that make a real difference think hands-on digital training, microloans that are easy to get, and better market links. If these women are given right support, and Kudumbashree could drive real economic change for women all across Kerala.

In the article, the features of the use of innovative and intellectual strategies in adaptive management of the enterprise development are studied. It is substantiated that the decline in intellectual and innovative potential was negatively affected by military operations in the country and the consequences of the pandemic. It was established that enterprises independently choose the type of strategic support based on their own resource capabilities and the influence of the external environment. It is established that when assessing the external environment, it is advisable to take into account not only risks and threats, but also opportunities for business. The structure of innovation and investment resources of the joint-stock company “Farmak”, internal sources of financing for the development of the enterprise and their correlation with the scale of innovative activity are analyzed. Based on a study of various types of strategies, it was determined which are the most appropriate strategic guidelines that Ukrainian enterprises should use during the post-war reconstruction of the state to form competitive advantages. Keywords: Adaptive Management, Enterprise Development, Intellectual Strategies, Innovative Strategies, Business, Instability, Management, European Integration.

The article considers the main theoretical and applied aspects of strategic management of the development of e-commerce and marketing and logistics enterprises of the region. The main theoretical approaches to determining the essence of e-commerce and its importance for the development of economic relations are summarized. business companies. The importance of the mechanism of strategic management of the development of e-commerce at the regional level, which should be oriented towards modern innovative technologies, has been substantiated. The world trends in the development of e-commerce and marketing and logistics activities of enterprises under the influence of digitalization processes have been analyzed. The main stages of the mechanism of strategic management of the e-commerce development within the transformation of marketing and logistics activities of enterprises in the region have been summarized. advantages of The strategic and adaptive management of e-commerce development both for the region and for individual marketing and logistics enterprises are studied. A classification of the main factors of strategic development of e-commerce enterprises in the region by political, economic, sociodemographic and innovative characteristics is provided. Strategic priorities that should be included in the program documents of the regional level are proposed.

The study presents a bibliometric analysis of 84 articles extracted from Scopus on users' post-adoption behavior towards Voice AI, as no such analysis has yet been done on this topic. This study epitomizes a pioneering effort to map the domain through performance analysis with R and VOS viewer software, prioritizing current insights and thematic analysis providing future research endeavours. The study presents five clusters: post-adoption consequences of Voice AI, Human-Voice AI post-adoption relationship, post-adoption concerns, Communicative and social outcomes, and Sustainable engagement with Voice AI. This review synthesizes the fragmented knowledge into one body by providing theoretical and managerial implications. Keywords: VoiceAI, Voice-basedArtificial Intelligence, Post-adoption behavior, Bibliometric analysis, Thematic analysis. Introduction "Long-term survival and substantial success of technological firms rely on the continued use of the new technology, rather than the first adoption." (Son & Han, 2011) Today, the world is experiencing rapid technological advancement, most prominently through the evolution of voice technology or Voice-Based Artificial Intelligence (Voice AI). Voice AI powered by machine learning and natural language processing gives a hands-free interface to users interacting with computers in their routine lives (McLean & OseiFrimpong, 2019). From the inception of computers, it has been the science fiction dream to interact with computers (Hoy, 2018); the evolution of Voice AI made it realistic in real life. According to a report by Demandsage (2025), around 8.4 billion Voice AI devices are used globally (roughly equal to the world population), which indicates the growing importance and adoption of Voice AI by users. The journey does not end here after adopting and using voice AI- it evolves. This evolution is known as post-adoption behavior (Saga & Zmud, 1994).