Journal Issues

Abstract

AI technology helps to transform the education sector by providing customized learning opportunity, automating administrative facilities, and improvised accessibility. In various sectors, including higher education and other service sectors, artificial intelligence (AI) has been a topic of developing the educational sector towards investigation and research. This study finds the benefits of AI on higher education by investigating its impacts on lecturing and understanding, frequent validation, morals & ethical values, needs inter personal skills and the future of degree holder’s future generation. The main goal of this study is to examine the benefits of AI on higher education world,understand its impact on the lecturing and understanding process, investigate its advantages on continuous testing and ranking and pre determine its impacts in the fields of higher educationist’s future. To determine this, the study uses a qualitative approach based on a questionnaire survey method through Google forms from the under graduate and post graduate students. The SPSS tool was used for analysis. It results the important scope of AI in the future of educational sector. It was found that the benefits and the impact of AI in equipping degree holders with new skills for their future careers. It also explains the importance of considering the moral and ethical values of artificial intelligence (AI). 

It was identified that AI is more beneficial and needed to inter grate all higher education institutions into their programs to prepare degree holders for the future employability.  This studyexplores the benefits into the capability of AI to transformation on educational sector and deliver better knowledge to the growth of new developmental skills for higher educationist. It has important tool for educators, policy creators, and other related personnels in the higher education sector. It was suggested that the higher educational systems can introduce and inter grate AI more on higher education and the moral and ethical values of AI in the growth and development of their programs should be noted down and must be implemented by the institutions. It helps the higher educationist to develop in a better way to meet the future expectations.

Keywords: AI technology, Higher Education, Career, Ethics & Values, Graduates.

Abstract

International business management operates within an increasingly complex global environment shaped by trade policies, regional economic integration, and geopolitical uncertainty. This conceptual study examines how firms navigate global markets by integrating strategic planning with policy awareness and cross-cultural competence. Drawing on existing literature in international business and strategic management, the study highlights the influence of multilateral institutions such as the World Trade Organization, Free Trade Agreements (FTAs), and geopolitical developments on global competitiveness. The analysis indicates that tariffs, regulatory frameworks, and political relations significantly affect market entry strategies, supply chain structures, and investment decisions of multinational enterprises. In response to protectionism and trade disputes, firms increasingly adopt adaptive strategies including localization, diversification, and regionalization. The study concludes that sustainable competitiveness in global markets depends not only on economic efficiency but also on the ability to align business strategy with evolving policy environments and geopolitical realities.

Keywords: International Business Management; Global Trade Policy; World Trade Organization (WTO); Free Trade Agreements (FTAs); Global Competitiveness; Geopolitical Risk; Strategic Management

Abstract

Women’s participation in decentralized economic systems plays a crucial role in strengthening micro-level yield networks within a developing economy. Self-Help Groups (SHGs) function as community-based financial systems that mobilize savings, facilitate access to credit, and enhance income-generating capacity among women. The present study examines the role of SHGs in economic resource management and income yield enhancement in Chennai District. The study is based on primary data collected from 30 respondents through a structured questionnaire. Statistical tools such as Paired Sample t-test, Correlation analysis, and ANOVA were employed to examine variations in income and socio-economic conditions before and after joining SHGs. The findings reveal a statistically significant increase in income levels, savings behaviour, and access to institutional credit after SHG participation. The study highlights SHGs as effective grassroots yield networks that optimize household resource allocation and contribute to sustainable women empowerment within a broader yield economy framework.

Keywords: Self-Help Groups, Economic Resource Management, Income Yield, Women Empowerment, Microfinance, Community-Based Networks

Abstract

Artificial Intelligence (AI) has rapidly evolved from a futuristic concept into a practical and influential tool in modern workplaces. Today, AI-driven technologies such as machine learning, robotics, natural language processing, and predictive analytics are widely used to automate tasks that were traditionally performed by humans. Unlike earlier forms of automation that mainly replaced physical labor, AI is capable of replicating cognitive functions such as learning, decision-making, and problem-solving. This advancement has significantly transformed how organizations operate and how employees perform their roles across various sectors.