Paper Title: 
Artificial Intelligence Driven Financial Risk Management: Empirical Evidence from the Global FinTech Ecosystem

Author:  Chaudhari Pankaj Balwantrao                               Page No. 1 - 10

Abstract

Purpose :
The purpose of the study was to investigate whether Artificial Intelligence (AI)-driven financial decision systems significantly improve financial risk management outcomes compared to traditional statistical models across credit, market, and operational risk domains within the global FinTech ecosystem .
Design/Methodology/Approach :
The study adopted an explanatory and comparative research design using secondary panel data from 240 financial institutions (120 AI-integrated and 120 traditional) across global markets over the period 2020–2025. Statistical techniques included logistic regression benchmarking, Random Forest and Gradient Boosting models, paired sample t-tests, ANOVA, and Sharpe Ratio analysis to test six hypotheses .
Findings :
The study found statistically significant improvements in AI-driven institutions, including a 21.4% increase in predictive accuracy, a 37.8% reduction in fraud detection false positives, improvement in Sharpe Ratio from 0.79 to 1.08, and 19–26% gains in operational cost efficiency. These results confirm that AI-driven systems significantly outperform traditional risk management models across multiple financial performance indicators .
Practical Implications :
The findings suggest that financial institutions should adopt AI-driven analytics to enhance predictive accuracy, improve portfolio performance, reduce fraud risks, and achieve operational efficiency, while simultaneously addressing challenges related to algorithmic bias, explainability, and regulatory compliance .
Originality :
The study provides empirical evidence from a global comparative framework demonstrating the structural impact of AI adoption on financial risk management and proposes an Integrated Intelligent Risk Architecture (IIRA) for sustainable AI-enabled financial ecosystems.

Paper Title: 
Converging Technologies and Organizational Innovation in Higher Education - A Multidisciplinary Framework for Recent Trends

First Author     : Chaudhari Pankaj Balwantrao                 Page No. 32 - 40
Second Author: Bhavesh Rathod

Abstract

Purpose :
The purpose of the study was to examine the impact of strategic faculty development practices on organisational performance in private universities in Maharashtra, with a focus on teaching effectiveness, research productivity, student satisfaction, and accreditation readiness.
Design/Methodology/Approach :
The study adopted a descriptive and explanatory research design using primary data collected from 240 full-time faculty members across six private universities. A structured questionnaire based on a five-point Likert scale was used to measure five dimensions of faculty development and four dimensions of organisational performance. Statistical techniques including reliability analysis, exploratory factor analysis, t-test, ANOVA, Pearson correlation, and multiple regression analysis were applied to test the hypotheses.
Findings :
The study found a strong and statistically significant positive relationship between strategic faculty development and organisational performance (r = 0.69, p < 0.001). The regression model explained 47.2% of the variance in organisational performance, with research support and performance feedback emerging as the most influential predictors, followed by pedagogical training. Institutions with higher faculty development intensity demonstrated significantly better performance outcomes.
Practical Implications :
The findings suggest that universities should integrate faculty development into institutional strategy by strengthening research support systems, implementing continuous performance feedback mechanisms, and enhancing pedagogical training to improve overall institutional performance and accreditation outcomes.
Originality :
The study provides empirical evidence from the Indian private university context, particularly Maharashtra, by quantitatively establishing faculty development as a strategic organisational capability influencing institutional performance.

Paper Title: 
Quality Assurance, Digital Transformation, and Institutional Excellence in Higher Education: Recent Trends in Quality Level

First Author     : Chaudhari Pankaj Balwantrao                 Page No. 41 - 47
Second Author: Kosga Yagapparaj 

Abstract

Purpose :
The purpose of the study was to examine recent trends influencing quality level in higher education by focusing on digital quality assurance, leadership commitment, curriculum responsiveness, inclusivity, and continuous improvement as key drivers of institutional excellence.
Design/Methodology/Approach :
The study adopted a research-oriented conceptual design supported by a realistic empirical framework. A structured sample of 180 respondents, including faculty members, academic leaders, administrators, and students, was proposed using stratified purposive sampling. The study integrates quantitative techniques such as descriptive analysis, correlation, regression, and mediation analysis along with qualitative insights to examine relationships between digital quality systems, institutional capability, and quality outcomes.
Findings :
The study found that digital quality assurance significantly enhances institutional quality by enabling data-driven monitoring and evidence-based decision-making. Leadership commitment strengthens the effectiveness of digital systems, while curriculum responsiveness improves perceived educational quality. Inclusivity contributes to stakeholder trust, and continuous improvement culture plays a mediating role in translating systems into institutional excellence. Overall, institutions adopting integrated digital and strategic approaches demonstrate higher quality levels and stronger performance outcomes.
Practical Implications :
The findings suggest that higher education institutions should develop integrated digital quality systems, align leadership with quality strategies, continuously update curricula to meet evolving demands, and promote inclusivity and continuous improvement practices to enhance institutional performance and stakeholder trust. Originality :
The study contributes by presenting a multidisciplinary framework that links digital transformation with quality assurance and institutional excellence, highlighting the shift from compliance-based quality models to dynamic, evidence-based, and strategically managed quality systems in higher education