1. CLUSTER DYNAMICS: A CASE STUDY OF LOCK, POTTERY AND GLASSWARE INDUSTRY OF NORTHERN INDIA
Authors: Dr. RATNA VADRA
Abstract
Aligarh's lock industry, Khurja's pottery industry, and Firozabad's glassware and bangles industry are all in India's northern state of Uttar Pradesh. In their different towns and cities, these industries established clusters. The study examined the theoretical contexts in which these industries arose and grew, as well as the competitive advantages that aided their establishment and growth. The Michael Porter diamond model is used to assess the clusters' success. A critical examination was conducted to determine the current state of the respective industries, as well as the causes for their poor performance in recent years.
Keywords: Industry Cluster, Small Business, Competitive Advantage of India.
2. FINANCIAL INNOVATIONS FOR DISASTER RISK REDUCTION AND MANAGEMENT
Authors: Dr. G.V.K. KASTHURI1, Dr. V. GOWRI LAKSHMI2 and Dr. M. PURUSHOTHAM NAIDU3
Abstract
This paper talks about the various Financial Innovations for the Disaster Risk Reduction or Management. Disaster Risk can be predicted, estimated or sometimes not even imagined sometimes. But, the tools for risk management are many to mitigate or manage such predicted risks are many. In this article, among the various Risk Management techniques, only financial instruments which are innovative financial tools are discussed. It is also recommended about some modifications in the existing policies regarding disaster risk management with special reference to reinsurance.
Keywords: Disaster Risk Management, Reinsurance, Financial Innovations.
3. A STUDY ON APPLYING VALUE AND GROWTH INVESTING MECHANICS TO NIFTY 500 STOCKS IN VARYING MARKET CONDITIONS
Authors: AMIT BATHIA1, Dr. AKSHAY DAMANI2, JAGABANDHU PADHY3*, Dr. MANGESH NIGUDKAR4, NANDIP VAIDYA5 and Dr. KUSHAGRA GOEL6
Abstract
This study investigates the efficiency of value and growth investment strategies in the NIFTY 500 index under different market circumstances. Objectives include distinguishing between value and growth companies based on basic qualities, analysing their previous performance, and creating portfolios tailored to different market conditions. Hypotheses are developed to assess the relative performance of growth and value equities in both bullish and negative markets. Methodologically, the study begins with the selection of stocks from the NIFTY 500 index and the accumulation of fundamental data across several years. Statistical tests, including as the Student's t-test and the Mann-Whitney U test, are used to analyse daily returns and compare the performance of value and growth companies under various market situations. Furthermore, corporations are assessed using valuation measures to identify top performers, and weighted portfolios are created for various market situations. This study aims to provide insights into the efficacy of value and growth investing strategies in navigating the complexities of the Indian equity market, with valuable implications for investors and portfolio managers looking to optimise their investment decisions in the face of market volatility
Keywords: Value investing, Growth investing, NIFTY 500, Market conditions, Portfolio construction, Investing Strategy.
4. CHAMPIONING FOR SUSTAINABILITY: PERSUADING GEN X TO ADOPT GREEN FINTECH
Authors: Dr. PARAMJIT S. LAMBA1, NEERA JAIN2 and EISHA KHAN3
Abstract
As the world moves rapidly towards sustainable solutions, and with fintech influencing the business canvas on a large scale, it becomes imperative for decision-makers to adopt innovative fintech for improved sustainability. Millennials readily adopt such products and services as they are adept at using digital technology for their everyday requirements. However, their previous generation, Gen X, many of whom now work in senior decision making roles within organizations, may not be as oriented towards fintech adoption. Hence there is a need to be persuaded to adopt green fintech. This study aimed to understand the nature of emotional or rationale based persuasion that would be more effective in persuading Gen X to adopt sustainable fintech. The elaboration likelihood model was used to explore the peripheral and central routes of persuasion. 329 responses from a survey of the national capital region of India were analyzed using SPSS and SmartPLS4. Findings suggest both routes as significant for green fintech adoption by Gen X. However, the peripheral route had a stronger influence on the perceived usefulness of fintech innovations leading to sustainability, as compared to the central route. Thus, in emerging economies, leveraging social connections to persuade Gen X members emotionally toward sustainability, is recommended as an effective approach in this study. The current research examines the ELM theory in an untested research domain-green fintech adoption. The findings provide insights to policymakers and marketers to engage Gen X in green fintech adoption. This will enable larger quantum of capital flow into sustainable investments thereby accelerating development of innovative clean technologies and sustainable fintech practices.
Keywords: Green Fintech Adoption, Fintech Innovation, ELM Theory, Argument Quality, Source Credibility, Perceived Usefulness.
5. EXPLORING THE ROLE OF PASSION AND POTENTIAL IN FINANCIAL INCLUSION AND COMMUNITY DEVELOPMENT: CASE STUDIES OF ARTISAN WOMEN ENTREPRENEURS IN NORTHEAST INDIA
Authors: Dr. SAGYAN SAGARIKA MOHANTY1 Dr. NITYASUNDAR NANDA2 and Dr. TAMRISHA PATNAIK3
Abstract
The exploration of artisan entrepreneurship as a means of fostering inclusive growth and community development is an area that has garnered increasing attention. This study delves into analyzing the passion, potential, and impact of artisan women entrepreneurs and their ecosystems within the context of promoting progress and prosperity. Utilizing a qualitative multiple case study approach, the research investigates the business models, processes, and contributions of artisan enterprises in Sikkim, located in the northeastern region of India. Drawing from interviews and interactions with artisan women entrepreneurs, the study presents four compelling case studies. Through these cases, the researchers shed light on the artisan entrepreneurial ecosystem, the challenges faced, and the significant contributions made in terms of empowering women, promoting financial inclusion, driving social upliftment, and fostering sustainable growth and development.
Keywords: Artisan Women Entrepreneurs, Women Empowerment, Financial Inclusion, Sustainable Development.
6. BANKING RISK MANAGEMENT: LESSONS FROM COVID-19 AND BEYOND
Authors:Dr MOHAMMAD AZIM CA, CPA, CMA
Abstract
The COVID-19 pandemic has exposed significant vulnerabilities in the banking sector’s risk management frameworks, particularly in developing economies like Bangladesh. This study explores the perceptions of senior banking executives, regulators, and policymakers regarding risk management practices during the crisis, drawing on in-depth interviews and documentary evidence. The findings reveal that Bangladeshi banks faced heightened credit risks, operational challenges, and moral hazards due to economic disruptions. While regulatory interventions such as refinance schemes and reduced repo rates offered temporary relief, weak enforcement and institutional capacity constraints limited their effectiveness. Additionally, socio-political factors, including corruption and low investor literacy, further undermined the adoption of robust risk management frameworks. The study highlights the critical role of institutional pressures—coercive, mimetic, and normative—in shaping risk management practices but emphasizes the need for context-specific strategies, digital transformation, and capacity-building initiatives to enhance banking sector resilience. By addressing existing gaps in risk management methodologies, this research contributes to a deeper understanding of how developing economies can strengthen financial stability and navigate future crises.
7. AI-DRIVEN RETAIL MARKETING: INNOVATIONS IN SALES GOAL ACHIEVEMENT AND CUSTOMER SATISFACTION
Authors: ARUP ROY CHOWDHURY1, RAVI KUMAR BOMMISETTI2, HARI KRISHNAN P. K3, K.S. CHANDRASEKAR4 and RAJESH PRABHAKAR KAILA5
Abstract
In today's highly competitive e-commerce market, manufacturers and dealerships need to implement compelling sales promotion strategies in order to attract and retain consumers. This research examines how incorporating artificial intelligence technology into retail marketing improves customer service and revenue. Artificial intelligence has emerged as a vital tool in the e-commerce industry, to discover new revenue sources, improving operational efficiency, and streamlining activities to enhance customer relationship management. Artificial intelligence possesses a great amount of abilities, encompassing tasks: generating leads and enhancing customer purchasing experiences. The study evaluates the consequences of integrating artificial intelligence technology into the retail sector, specifically examining customer preferences, desires, and decision-making processes, along with the development of profiles and market segmentation. The study thoroughly explores various aspects of marketing intelligence, such as market research, competition analysis, and data analytics. This valuable information empowers e-commerce stakeholders to make informed decisions when creating and executing sales promotion programs. The study approach utilizes a range of statistical methods, which includes the T-test and Chi-square test, to conduct a thorough analysis of the subject matter. The data strongly indicates that the utilization of artificial intelligence technology led to notable enhancements in implementation and effectiveness. This underscores the crucial importance of artificial intelligence services in corporate performance, particularly in the efficacy of sales promotion activities driven by real-time data and analysis.
Keywords: Artificial Intelligence, E-commerce, Retail Marketing, Promotion of Sales, Stakeholders.
8. ESG PERFORMANCE AND CORPORATE PROFITABILITY: EMPIRICAL EVIDENCE FROM INDIAN FIRMS
Authors: HARSH THAKRAR1, SARA MALWIYA2, NOOPUR NAIK3, DAKSH JAIN4 and TANYA PARKHI5
Abstract
This study examines the impact of Environmental, Social, and Governance (ESG) factors on corporate profitability using a logistic regression approach on a pooled panel dataset of 500 companies. By incorporating ESG scores, marketing costs, sales, and market capitalization, the research aims to determine how sustainability oriented practices influence financial performance. The findings indicate that ESG scores and marketing costs are significant predictors of profitability. Companies with strong ESG scores tend to exhibit higher profitability, while firms with below-average ESG scores face challenges in achieving sustainable financial returns. The study highlights the growing relevance of ESG considerations in corporate decision-making and provides valuable insights for investors, policymakers, and business leaders interested in sustainable finance. The results contribute to the existing literature by reinforcing the positive association between ESG performance and corporate financial success, particularly in the Indian market.
Keywords: ESG, Corporate Profitability, Company Size, Sustainability in Finance
9. ARTIFICIAL INTELLIGENCE IN AUDITING ENHANCING ACCURACY AND EFFICIENCY IN PUBLIC INTEREST FINANCIAL REPORTING
Authors: Dr. A. VINAY BHUSHAN1, Dr. BINOY MATHEW2, Dr. P. KANNAIAH3 and V V DEVI PRASAD KOTNI4
Abstract
Modern auditing undergoes a transformation with Artificial Intelligence technology because it delivers precise and efficient operations to detect financial statement fraud. This paper examines the impact of AI on audit quality and looks at security and ethical concerns for proposing future research directions
Keywords: Artificial Intelligence, Auditing, Financial Reporting, Public Interest, Machine Learning, Fraud Detection, Automation, Risk Assessment.