Bibliometric Analysis of GST Implication on Textile Business

Shilpa K P, Dr. Umaprabha S, Dr. Dinesh N

Abstract 

This bibliometric analysis provides an in-depth examination of the scholarly research focused on the implications of Goods and Services Tax (GST) within the textile business sector. GST, a significant tax reform implemented across many countries, has had profound effects on various industries, including textiles. To understand these impacts comprehensively, this study analyzes a range of bibliometric indicators such as publication trends, prominent authors, influential journals, and citation patterns. By scrutinizing publication trends, the analysis uncovers how interest in GST’s impact on the textile industry has evolved over time, indicating shifts in research focus and emerging areas of interest.

The identification of prominent authors helps to spotlight leading experts and contributors who have advanced the understanding of GST's effects on textiles. This includes understanding their research contributions, methodological approaches, and how their findings have shaped current knowledge in the field. The study also examines influential journals that have published key research articles, providing insights into where significant discourse and findings are being disseminated. These journals are crucial in shaping the academic conversation around GST and textiles. Citation patterns are analyzed to determine which studies and findings are most impactful and widely referenced within the scholarly community. This not only highlights the significance of certain research but also identifies seminal works that have shaped the current understanding of GST’s implications for the textile business.

Overall, this bibliometric analysis offers a comprehensive overview of the research landscape concerning GST's impact on the textile sector. It identifies significant contributions to the field, highlights influential researchers and publications, and points out critical areas that require further exploration. This thorough analysis helps to map out the existing knowledge, recognize gaps, and guide future research directions to deepen understanding and inform policy decisions related to GST and the textile industry.

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Published: May 2025 [Vol. 08, No. 05]

Challenges of Integrating AI into the Education System

Dr. Boby Narayan, Dr. Sangeeta Jauhari

Abstract 

The integration of Artificial Intelligence (AI) into the education system presents numerous challenges that need careful consideration and strategic planning. One of the primary hurdles is the lack of infrastructure, particularly in underfunded schools, where the implementation of AI tools requires significant investment in hardware, software, and training. Another challenge is ensuring equity in access to AI-powered education, as disparities in digital literacy, internet connectivity, and device availability can widen existing educational inequalities. Furthermore, AI’s ability to personalize learning raises concerns about data privacy and the ethical use of student information, as well as the potential for biased algorithms to exacerbate discrimination. Teachers also face the challenge of adapting to new AI tools, which requires both time and professional development to effectively incorporate into their teaching practices. There are concerns about the impact of AI on the traditional role of teachers and the fear that automation may reduce the human element in education, which is crucial for student development. Overcoming these challenges requires thoughtful policymaking, investment in teacher training, and a commitment to inclusivity to ensure that AI can enhance, rather than replace, the human-centered approach to education.

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Published: May 2025 [Vol. 08, No. 05]