| Paper ID |
IJIFR/V13/E6/009
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| Author |
Dr Veenu Mohan Muthukattu, St Josephs College of Commerce
Dr Suganthi Pais, St Josephs College of Commerce
Dr Sheela A M, St Josephs College of Commerce
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| Paper Title |
Empirical study of Self-help groups and their impact on womens empowerment in Uttara Kannada District in Karnataka
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| Subject Category |
Social Science
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| Abstract |
Self-help groups are small voluntary associations of women members who come together for the purpose of creating individual savings. This is referred to as a common fund, which is circulated among the members. It started as a small group comprising 10 to 12 members. It has spread in large numbers over the years. The government of India also supports these self-help groups with various credit schemes, which help in their economic empowerment. The research paper analyses the role of self-help groups in women's empowerment in the Mundgod and Hangal taluks in Northern Karnataka. The results show positive results in strengthening the economic welfare of self-help groups in the study areas. It has not only created sustainable employment but also helped to increase their monetary standards.
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| Keyword |
Self-Help Groups, Empowerment, Sustainable Employment
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| Paper ID |
IJIFR/V13/E6/008
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| Author |
Dr.P.Karthika, NGM College, Pollachi
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| Paper Title |
ECONOMIC EMPOWERMENT OF WORKING WOMEN: THEORETICAL PERSPECTIVES AND EMPIRICAL EVIDENCE
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| Subject Category |
Commerce
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| Abstract |
Women’s economic empowerment has emerged as a critical driver of inclusive growth and sustainable development. This study investigates the economic empowerment of working women through an integration of theoretical perspectives and empirical evidence. The research adopts a descriptive and analytical approach by synthesizing data from national labour force surveys, microfinance studies, and gender-based employment statistics. The study conceptualizes economic empowerment as a multidimensional construct comprising access to economic resources, financial autonomy, decision-making power, and employment opportunities. Findings indicate that women’s participation in paid employment, access to credit facilities, and educational attainment significantly enhance economic agency and household decision-making capacity. However, structural barriers such as wage disparities, occupational segregation, and limited access to financial institutions continue to restrict empowerment outcomes. The study highlights the role of policy interventions, skill development initiatives, and inclusive financial systems in strengthening women’s economic participation. The research contributes to existing literature by providing an integrated framework linking employment, financial inclusion, and empowerment outcomes. The findings offer practical implications for policymakers, development practitioners, and researchers aiming to promote gender-inclusive economic development.
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| Keyword |
Economic Empowerment, Working Women, Financial Inclusion, Labour Force Participation, Gender Equality
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| Paper ID |
IJIFR/V13/E6/007
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| Author |
Sunil Taneja
Amandeep Makkar
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| Paper Title |
Integrating AI tools in Teaching & Learning
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| Subject Category |
Computer Science
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| Abstract |
Integrating AI tools in Teaching & Learning enables personalized education, enhances student engagement, and supports educators in both instructional and administrative tasks. This paper examines the role of AI in teaching & learning process and highlights commonly used AI tools with relevant examples. Tools such as intelligent tutoring systems (ALEKS, Carnegie Learning), adaptive learning platforms (DreamBox, Coursera), AI-powered learning management systems (Moodle with AI plugins), automated assessment tools (Gradescope, Turnitin), educational chatbots (ChatGPT, IBM Watson Assistant), and learning analytics tools (Power BI, Tableau with AI features) are discussed. These tools assist in personalized content delivery, instant feedback, performance monitoring, and data-driven academic decision-making. The paper also explores how AI tools promote inclusive education through speech-to-text, text-to-speech, and recommendation systems that address diverse learner needs. Despite the advantages, challenges such as data privacy, ethical issues, digital divide, and the need for faculty training remain significant. The study concludes that the effective and responsible integration of AI tools can significantly improve the quality, accessibility, and efficiency of the education system.
Keywords: Artificial Intelligence, Education, Learning, Teaching, Tools
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| Keyword |
Artificial Intelligence, Education, Learning, Teaching, Tools
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| Paper ID |
IJIFR/V13/E6/006
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| Author |
Sandeepi, Assistant Professor of Computer Science, Dr. B.R. Ambedkar Govt College, Kaithal
Neha Saini, Assistant Professor of Computer Science, Govt College, Chhachhrauli
Vikas Sharma
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| Paper Title |
MOOCs and Digital Learning as Sustainable Technologies for Inclusive Education
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| Subject Category |
Computer Science
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| Abstract |
Massive Open Online Courses (MOOCs) and digital learning environments have emerged as key technologies for expanding access to education globally. By leveraging openness, networked learning and scalability, they can support inclusive education and contribute to Education for Sustainable Development (ESD). Evidence from recent studies shows that MOOCs can promote sustainability-related competencies, access across geographical and socio economic boundaries, and support the long term, sustainable use of digital platforms when accompanied by adequate academic and emotional support. However, persistent challenges such as high dropout rates, digital divides, and variable pedagogical quality must be addressed to fully realize their potential as sustainable technologies for inclusive education.
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| Keyword |
MOOCs, Digital Learning, Sustainable Technology, Inclusive Education
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| Paper ID |
IJIFR/V13/E6/005
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| Author |
Namrata Jain, Department of Computer Science Government College, Panchkula-Haryana
Sandhya, Govt. College Barwala (Panchkula)
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| Paper Title |
Cybersecurity Challenges in Analytics-Driven Decision Systems
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| Subject Category |
Computer Science
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| Abstract |
Analytics-driven decision systems have become fundamental to organizational operations, leveraging big data, artificial intelligence, and machine learning to generate actionable insights. However, these systems face significant cybersecurity challenges that threaten data integrity, confidentiality, and availability. This research paper examines the primary cybersecurity threats affecting analytics-driven decision systems, including data poisoning, adversarial attacks, privacy breaches, and infrastructure vulnerabilities. Through analysis of secondary data from recent security incidents and academic literature, this study identifies critical vulnerabilities and proposes a comprehensive framework for securing analytics systems. The findings reveal that organizations must adopt multi-layered security approaches combining technical controls, governance frameworks, and continuous monitoring to protect their analytics infrastructure while maintaining operational efficiency.
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| Keyword |
Cybersecurity, Analytics Systems, Data Security, Adversarial Attacks, Decision Support Systems, Machine Learning Security
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| Paper ID |
IJIFR/V13/E6/004
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| Author |
Amit Kumar, Department of Computer Science Government College, Aharwala (Bilaspur)
Amandeep Makkar, Department of Computer Science Arya Girls College, Ambala Cantt
Sunil Taneja, Department of Computer Science Government College, Chhachhrauli
Vikas Sharma, Department of Computer Science Government PG College, Ambala Cantt
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| Paper Title |
Unlocking the Power of ChatGPT: A Generative AI Technology
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| Subject Category |
Computer Science
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| Abstract |
Generative Artificial Intelligence has emerged as a innovative technology proficient of making human-like content across various domains, including text, images, and code. Among generative AI models, ChatGPT developed by OpenAI exemplifies a significant advancement in natural language processing through the use of large language models (LLMs). This paper examines the fundamentals of generative AI, with a particular focus on ChatGPT, its underlying architecture, applications, and implications. ChatGPT leverages deep learning techniques to generate contextually relevant and coherent responses, making it valuable in fields such as education, research, content creation, and software development. Despite its advantages, challenges related to accuracy, bias, ethical concerns, and responsible usage remain critical considerations. This study highlights both the potential and limitations of generative AI technologies, emphasizing the importance of ethical frameworks and human oversight in their deployment. The findings suggest that generative AI, when used responsibly, can significantly enhance productivity, creativity, and access to information.
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| Keyword |
Generative AI, ChatGPT, Artificial Intelligence, Large Language Models
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| Paper ID |
IJIFR/V13/E6/003
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| Author |
Tanveer Gulab, Research Scholar, PG Department of English & Research Centre. Yeshwant Mahavidyalaya, Nanded
Dr. L.V. Padmarani Rao, Professor and Head, PG Department of English & Research Centre Yeshwant Mahavidyalaya, Nanded
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| Paper Title |
Soft Skills for Sustainable Futures: Examining the Role of Literature in Social Innovation and Inclusive Growth
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| Subject Category |
English
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| Abstract |
Human beings have been considered as the wisest species on the planet. The human civilization reached its peak with the discovery of language, living in social groups, developing common living standards and societal harmony. And hence it is evident that humans need social living, cultural coherence and harmony. Aristotle has rightly said, ‘Human is a social and political animal.’ Hence, social innovation and inclusive growth cannot take l place without having the proper understanding of the core-needs of the society.
Thus, in understanding of the core needs of the society, the role of literature is significant. As it is said that ‘literature is the criticism of life’ and human life is about living in harmony, believing in prosperity for all. Hence, literature can become the efficient, effective and crucial tools to achieve sustainable futures, social innovation and inclusive growth. Moreover, the paper tries to highlight the role of soft skills as a part of literature in understanding the importance of sustainable future by achieving social innovation and Inclusive growth. The paper uses demonstrative, analytical and critical approach.
The paper also addresses the gaps between soft skills in aligned with literature and considering that the subjects are not separate entities to depart the global issues in specific domains. Hence to make this life or the planet more sustainable, inclusive and innovative for all, it is essential to understand the core parameters of the society with the help of Soft Skills and Literature.
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| Keyword |
Soft Skills, Sustainable Development Growth, Social Innovation and Inclusive Growth, Communication Skills
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| Paper ID |
IJIFR/V13/E6/002
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| Author |
Dr.K.Kaleeswari, Vellalar college for Women(Autonomous)Erode-12
S.Swathi, Vellalar College For Women(Autonomous)Erode-12
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| Paper Title |
A STUDY ON IMPACT OF 5G ON MOBILE COMMERCE IN ERODE DISTRICT
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| Subject Category |
commerce with technology
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| Abstract |
The rapid deployment of fifth-generation (5G) wireless technology is transforming digital ecosystems worldwide, offering unprecedented data speeds, ultra-low latency, and enhanced connectivity. This study examines the impact of 5G adoption on mobile commerce (m-commerce) in the Erode district, a growing economic hub in Tamil Nadu, India. The research investigates how 5G technology influences consumer behavior, business performance, and overall mobile transaction efficiency within the region. The study explores changes in user engagement, online purchasing trends, and the quality of digital services post-5G rollout.
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| Keyword |
5G technology,mobile commerce
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| Paper ID |
IJIFR/V13/E6/001
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| Author |
Dr.R.Kalaiselvi, NGM College
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| Paper Title |
A Study on the Business Growth and Sustainability of Women Entrepreneurs under the Stand-Up India Scheme
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| Subject Category |
Commerce
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| Abstract |
This paper examines the growth and sustainability of women-led enterprises that have availed loans under the Stand-Up India Scheme (SUI). Through a combination of secondary national scheme data and primary survey data from women entrepreneurs in [insert region], this study analyses business growth (turnover, employment generation) and sustainability (business survival, reinvestment behaviour) over time. The findings suggest that while the SUI scheme has substantially increased women’s access to formal credit—over 80% of sanctioned accounts going to women—the sustainability of these enterprises is influenced by factors such as loan size, training/mentoring support, and rural vs urban location. Policy implications and recommendations are presented for strengthening support systems for women entrepreneurs under the scheme.
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| Keyword |
women entrepreneurs, Stand-Up India Scheme, business growth, sustainability, credit access, India
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