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.

Abstract

In a global yield economy characterized by dynamic pricing, interconnected production–consumption systems, and economic resource optimization, airline revenue management has evolved from a firm-level operational function into a strategic instrument of national competitiveness. Tourism-dependent and tourism-aspiring economies increasingly rely on aviation connectivity not merely as transport infrastructure but as a yield-maximizing economic platform capable of generating foreign exchange earnings, employment multipliers, and destination branding advantages. While advanced hub economies such as the United Arab Emirates, Singapore, and Qatar have successfully integrated airline network planning with national tourism promotion, emerging markets often operate within fragmented institutional and policy architectures.

This study examines how global airline yield management strategies can be adapted to enhance India’s international tourism competitiveness within an interconnected global yield economy. Drawing upon revenue management theory, tourism competitiveness models, Porter’s national competitiveness framework, and systems theory, the study adopts a conceptual-analytical methodology supported by secondary time-series data (2015–2023) and comparative benchmarking of integrated aviation–tourism economies. The analysis identifies structural gaps in India’s aviation–tourism coordination, hub optimization, data intelligence integration, and bilateral air service alignment.

The paper proposes an Aviation–Tourism Yield Network Model comprising five strategic pillars: integrated data intelligence platforms, hub-centric yield optimization, dynamic pricing–tourism bundling, yield-oriented bilateral liberalization, and institutional coordination governance. The study contributes theoretically by extending firm-level airline revenue management into macro-level competitiveness discourse and offers actionable policy implications for strengthening India’s position within global yield networks while maximizing economic resource efficiency.

Keywords: Airline Yield Management, Tourism Competitiveness, Global Yield Economy, Systems Theory, Aviation Policy, India

Abstract

Employer branding has emerged as a strategic human resource management practice that shapes employees’ psychological attachment and influences their performance within organizations. The primary purpose of this study is to examine how employer branding influences employee performance within an organization. The study adopts a descriptive research design with a quantitative approach to explore the relationship between employer branding dimensions and employee performance outcomes.

Data were collected from 47 employees using structured questionnaires measured on a five-point Likert scale. Employer branding was assessed through key dimensions including organizational culture, leadership, communication, work environment, and growth opportunities. Employee performance was evaluated using indicators such as productivity, job involvement, job satisfaction, and organizational commitment. Statistical tools including descriptive analysis, reliability testing, correlation, and regression analysis were employed to analyze the data.

The findings reveal a significant positive relationship between employer branding practices and employee performance. Employees who perceive strong organizational culture, supportive leadership, and effective communication demonstrate higher levels of motivation, engagement, commitment, and job satisfaction. The study highlights that employer branding functions not only as a recruitment strategy but also as an internal mechanism for enhancing employee performance.

The research underscores the importance of strengthening employer brand image and organizational culture as a strategic approach to improving human resource effectiveness and ensuring long-term organizational sustainability.

Keywords: Employer Branding, Employee Performance, Organizational Culture, Employee Engagement, Human Resource Management.

Abstract

The reality of modern finance is now unmistakably global, with floating currencies, varying laws, and a story that can often move markets as much as the underlying facts and data. This paper is a discussion of a “practitioner’s view” of Global Financial Management (GFM), how to raise, manage, and protect capital across borders, all within an intelligible framework of risk. Our starting point is simple: in a fiat system, fiat currency has no underlying value, but its purchasing power is based on institutional trust, legal systems, and economic productivity – only value that is created through productive capacity, legal rights, governance, and proper scarcity survives. We ground this notion through three specific examples: the move away from Bretton Woods and the emergence of policy-based exchange rate systems; the nature of gold as a Gold can be thought of as a proxy for monetary uncertainty or geopolitical events rather than a fixed reference point; and the long-lived experiment in narrative and supply management for the diamond market. We then bridge this thinking to an ‘operating model’ for FX management, cross-border capital budgeting, portfolio construction, and legal-regulatory design. We use charts and tables to help illustrate the points. The ultimate aim is to assist decision-makers in compounding real value rather than merely nominal money as macro regimes shift.